2024 Edexcel GCSE Geography B (1GB0) 模擬試題連答案詳解

In the Hadley cell, solar radiation is most intense at the Equator, causing warm air to rise and create a low-pressure belt. This air travels poleward in the upper atmosphere, cools, and sinks at approximately 30° North and South, creating sub-tropical high-pressure belts.

Award 1 mark for the correct answer (A). Do not award marks for any other choice.

Tropical cyclones require sea-surface temperatures of at least 26.5°C to provide the necessary heat and moisture to fuel the system through latent heat release.

Award 1 mark for the correct answer (C). Reject all other answers.

At conservative (transform) plate boundaries, tectonic plates slide past each other. Friction causes them to become locked, building up pressure which is released as an earthquake. There is no subduction or rifting, so no volcanic activity occurs.

Award 1 mark for the correct answer (D). Reject all other answers.

To calculate the mean, add together all values and divide by the total number of years:

\(3 + 6 + 4 + 3 + 5 = 21\)

\(21 / 5 = 4.2\)

The mean annual number of Category 4 and 5 hurricanes is 4.2.

Award 1 mark for the correct answer of 4.2. Accept '4.2 hurricanes'.

1. Find the decrease in sea ice extent:
\(8.0 - 4.8 = 3.2\) million \(km^2\)

2. Calculate the percentage decrease relative to the original value in 1980:
\(\frac{3.2}{8.0} \times 100 = 40\%\)

Award 1 mark for the correct answer of 40% (accept '40').

As warm, moist air rises at the equator, it cools and condenses to form rain. This drier air then moves north and south, eventually sinking around 30 degrees latitude (the Hadley cell boundary). Sinking air compresses and warms up, which means it can hold more water vapour. This prevents clouds from forming, leading to clear skies and dry, desert conditions on the land below.

Award 1 mark for identifying a valid reason, and a further 1 mark for expansion/explanation. Sinking air warms up as it descends (1), which increases its moisture-holding capacity, preventing condensation and cloud formation (1). High pressure is created by the sinking air (1), which suppresses the upward movement of air needed for rain clouds to develop (1). Do not accept responses about tectonic plates or ocean currents.

At conservative boundaries, two tectonic plates move past each other, either in opposite directions or at different speeds in the same direction. As they slide, their jagged edges snag and become locked. Friction prevents them from moving smoothly, causing tectonic pressure to build up. When the pressure exceeds the strength of the rock, the plates suddenly slip and release energy as seismic waves, which travel to the surface and cause an earthquake.

Award 1 mark for identifying a valid process, and 1 mark for expansion. Plates slide past each other and become locked due to friction (1), which causes pressure to build up until it is suddenly released as seismic waves (1). The boundary has no subduction or volcanic activity (1), meaning tectonic stress is resolved purely through sudden plate slippage and shaking (1).

Tropical cyclones require sea surface temperatures of at least 27 degrees Celsius because warm water acts as the primary energy source for the storm. The high temperature causes rapid evaporation of ocean water. As this warm, moist air rises rapidly, it cools and condenses, releasing latent heat. This latent heat further warms the surrounding air, lowering the pressure and driving the intense updrafts and winds of the cyclone.

Award 1 mark for identifying the role of warm water as an energy source, and 1 mark for explanation. Warm water drives high rates of evaporation (1), which provides the moist air that rises and condenses to release latent heat and power the storm (1). The heat provides thermal energy (1), causing rapid updrafts of air that create the low-pressure system required for a cyclone (1).

Milankovitch cycles involve long-term variations in the Earth's orbit, specifically eccentricity (how circular the orbit is), obliquity (the tilt of the Earth's axis), and precession (the wobble of the axis). These cycles change the distance between the Earth and the Sun, as well as the angle of sunlight hitting different hemispheres. This alters the seasonal and latitudinal distribution of solar energy received by the Earth, triggering ice ages or warmer interglacial periods over cycles of tens of thousands of years.

Award 1 mark for identifying a specific orbital variation (eccentricity, obliquity, or precession), and 1 mark for explaining its climatic impact. The Earth's orbit changes from circular to elliptical over time (eccentricity) (1), which varies the distance to the Sun and alters the total solar radiation received by the planet (1). The tilt of the Earth's axis varies (obliquity) (1), which changes the severity of the seasons and how much solar energy reaches the poles (1).

One reason is the loss of the storm's main energy source (1 mark). Tropical cyclones require warm ocean water (at least 26.5 degrees Celsius) to fuel them through evaporation and latent heat release; once on land, this energy supply is cut off, causing the cyclone to quickly dissipate (1 mark). A second reason is increased friction (1 mark). Land surfaces have greater roughness than open water due to topography, trees, and buildings, which slows down surface wind speeds and disrupts the cyclone's circular flow (1 mark).

Award 1 mark for identifying a valid reason and 1 further mark for explaining it, up to a maximum of 4 marks (2 x 2). Point 1: Loss of warm water/moisture source (1 mark). Explanation: Warm sea water provides the latent heat and moisture that fuels the low pressure system; without it, the storm quickly loses energy and weakens (1 mark). Point 2: Increased friction with the ground (1 mark). Explanation: Land is rougher than water, which creates resistance, slowing down surface winds and disrupting the storm's structure (1 mark). Accept other valid explanations such as: Mixing with dry air over land (1 mark), which reduces humidity and stifles thunderstorm development within the cyclone (1 mark).

To answer this question effectively, students should structure their essay to contrast the role of development against the role of physical magnitude, using specific case study examples. Paragraph 1: Arguments for development being the primary factor. In developed nations, high-income allows for strict building code enforcement (e.g., aseismic designs in Tokyo), high levels of public preparedness (e.g., Disaster Prevention Day), and rapid emergency response, which dramatically lowers casualties. In contrast, developing countries often suffer high casualties from identical-magnitude events due to poorly built masonry, lack of planning, and poor infrastructure (e.g., Haiti 2010). Paragraph 2: Arguments for physical factors being the primary factor. No matter how developed a country is, an extremely high-magnitude event (e.g., Magnitude 9.0+) close to urban centers can cause catastrophic damage. Physical factors like shallow focus depth, local geology (causing liquefaction), and the generation of secondary hazards like tsunamis (which overwhelmed Japan's coastal walls in 2011) can bypass human mitigation strategies. Conclusion: A judgment should be reached. Development is the key determinant of human impacts (injuries and deaths) because it mitigates vulnerability, whereas physical magnitude determines the absolute baseline of energy released, with high-magnitude events in developed countries leading to immense economic losses rather than human loss.

Marking criteria: AO1 (2 marks) - Demonstrate knowledge of tectonic hazard impacts and characteristics of countries at different levels of development. AO2 (3 marks) - Apply understanding to show how development and physical factors interact to influence impacts. AO3 (3 marks) - Evaluate and make a supported, balanced judgment. Level 1 (1-2 marks): Demonstrates isolated knowledge of tectonic impacts. Outline of either development or magnitude, but lacks structure or evaluation. Level 2 (3-5 marks): Demonstrates geographical understanding of both sides. Evaluates both the role of development (using case studies) and physical magnitude. The response is partially balanced with a basic conclusion. Level 3 (6-8 marks): Detailed, balanced evaluation of both human (development) and physical (magnitude/secondary hazards) factors, supported by well-integrated case studies (e.g., Japan vs. Haiti/Nepal). Reaches a logical and fully justified conclusion.

Rostow's model of economic growth outlines five stages. Stage 2, 'Pre-conditions for take-off', is characterised by the initial development of transport infrastructure and the introduction of technology and investment. Stage 1 is traditional subsistence agriculture (option a), Stage 3 is the rapid industrialisation of 'take-off' (option c), and Stage 5 is 'high mass consumption' (option d).

1 mark for the correct option B. 0 marks for other options.

Bottom-up development projects are small-scale schemes led by local communities to address local needs directly. They typically use appropriate (intermediate) technology which is cheap and easy to maintain. Options a, b, and d are characteristics of top-down development schemes, which are large-scale, expensive, and managed by governments or international organisations.

1 mark for the correct option C. 0 marks for other options.

The Human Development Index (HDI) is a composite index used to measure development. It is calculated using four specific indicators across three dimensions: life expectancy at birth (for health), mean years of schooling and expected years of schooling (for education), and Gross National Income (GNI) per capita (for standard of living).

Award 1 mark for any of the following correct indicators: Life expectancy at birth (accept 'life expectancy'), Mean years of schooling, Expected years of schooling, or Gross National Income (GNI) per capita (accept 'GNI per capita'). Do not accept general terms such as 'literacy rate', 'income', 'wealth', or 'health'.

To correctly plot the data on the scatter graph:
1. Locate the horizontal axis (GNI per capita in US$). For Vietnam, find $8,000. Follow this line vertically up to the vertical axis (Life expectancy in years) at 74. Mark this point clearly with an 'x' or a dot.
2. For Bangladesh, find $5,000 on the horizontal axis (which lies exactly midway between $4,000 and $6,000). Follow this line vertically up to 72 on the vertical axis. Mark this point clearly with an 'x' or a dot.

Award 1 mark for each correctly plotted point up to a maximum of 2 marks:
- Vietnam plotted accurately at $8,000 on the x-axis and 74 on the y-axis (allow a tolerance of \(\pm\) 1 year / half a small square) (1)
- Bangladesh plotted accurately at $5,000 on the x-axis and 72 on the y-axis (allow a tolerance of \(\pm\) 1 year / half a small square) (1)

One mark is awarded for identifying a valid limitation of GNI per capita, and a second mark for explaining how this makes it inaccurate as a measure of development. For example: GNI per capita is an average figure for the whole country (1 mark). This means it can hide extreme wealth inequality where a small, wealthy elite distorts the average, leaving the majority of the population living in poverty (1 mark).

Award 1 mark for identifying a valid reason/limitation, and a further 1 mark for explaining why this limits its accuracy, up to a maximum of 2 marks. Valid points include: It is an average / does not show inequality (1) so it can hide the fact that most wealth is held by a tiny percentage of the population (1). It only measures economic output (1) which means it fails to capture social development indicators like healthcare or education quality (1). It does not include the informal economy (1) which means the actual income of many people in developing countries is underrepresented (1).

One mark is awarded for identifying a physical or trade-related consequence of being landlocked, and a second mark for explaining how this impacts economic development. For example: Landlocked countries do not have direct access to their own coastline or sea ports (1 mark). This means they must pay transit tariffs and rely on the infrastructure of neighboring countries to trade globally, which increases transport costs and makes their exports less competitive (1 mark).

Award 1 mark for identifying a valid consequence of being landlocked, and a further 1 mark for explaining the economic impact, up to a maximum of 2 marks. Valid points include: No direct access to sea ports (1) which increases the costs and time to transport goods through neighboring countries (1). Reliant on relations with neighboring countries (1) which means political instability in a transit country can disrupt trade routes and stop exports (1).

One mark is awarded for identifying a characteristic of top-down projects, and a second mark for explaining how this leads to a negative consequence for the local population. For example: Top-down projects are planned by central governments or large international organisations without consulting local residents (1 mark). As a result, local communities may be forcibly evicted from their homes and land to make way for large-scale infrastructure like dams, destroying their livelihoods (1 mark).

Award 1 mark for identifying a valid characteristic/issue of top-down planning, and a further 1 mark for explaining the negative impact on local communities, up to a maximum of 2 marks. Valid points include: Lack of local consultation (1) which can result in local people being forcibly relocated from their ancestral lands (1). High capital investment requirements (1) which can plunge the national government into debt, leading to spending cuts in local public services like healthcare (1). Focus on industrial scale energy/water (1) which often benefits distant urban areas or TNCs rather than the rural poor who live nearby (1).

Frank's dependency theory proposes that global development is unequal because the world is split into a wealthy 'core' and a poorer 'periphery' (1 mark). The core exploits the periphery by extracting cheap raw materials and labor (1 mark). Consequently, the core sells high-value manufactured goods back to the periphery, which drains capital from developing countries and keeps them dependent and underdeveloped (1 mark).

Award 1 mark for identifying the structure of the model (core and periphery) and up to 2 further marks for explaining the relationship/mechanism of dependency. For example: The world is divided into a wealthy 'core' (developed countries) and a poorer 'periphery' (developing countries) (1 mark). The core exploits the periphery by taking cheap raw materials, resources, and cheap labor (1 mark). The periphery is forced to buy expensive manufactured goods back from the core, leading to a trade deficit and draining their wealth (1 mark). This prevents the periphery from accumulating capital to develop on its own, locking it into a permanent state of dependency (1 mark). Accept any other appropriate development of points.

To find the percentage change for Province C:

1. Calculate the increase in percentage points:
\(74.2 - 56.0 = 18.2\)

2. Divide the increase by the original (2012) value:
\(\frac{18.2}{56.0} = 0.325\)

3. Multiply by 100 to find the percentage:
\(0.325 \times 100 = 32.5\%\)

Award 1 mark for calculating the increase in access (absolute change):
- \(74.2 - 56.0 = 18.2\) (1)

Award 1 mark for showing the correct method to calculate percentage change:
- \(\frac{18.2}{56.0} \times 100\) (1)

Award 1 mark for the correct final answer:
- 32.5 (%) or +32.5 (%) (1)

Accept 32.5 without the percentage symbol. Do not accept 33% or 32.50% (as the question asks for one decimal place).

Case study chosen: India. In India, regional development is highly uneven, characterized by a clear gap between the wealthy 'core' states of the south and west (e.g., Maharashtra) and the poorer 'periphery' states of the north and east (e.g., Bihar). Physical geography has played a major foundational role. Maharashtra, with its long coastline and natural deep-water ports, has always been naturally suited to global maritime trade. Conversely, Bihar is landlocked and suffers from severe seasonal flooding from the Ganges, which destroys crops and infrastructure, discouraging long-term investment. However, human and political factors have arguably been more decisive in widening this gap in recent decades. Maharashtra has attracted the majority of India's Foreign Direct Investment (FDI) because its state government established highly successful Special Economic Zones (SEZs) with tax breaks and reliable power. These hubs, particularly around Mumbai and Pune, attracted technology and manufacturing multinational corporations. In contrast, Bihar historically suffered from lower state investment in education and infrastructure, resulting in lower literacy rates and a workforce heavily reliant on low-productivity subsistence agriculture. In conclusion, while physical advantages like coastlines provided the initial platform for trade, it is proactive government policies, infrastructure development, and education investment that have ultimately driven the rapid divergence in regional development within India.

AO1 (3 marks): Knowledge of regional development differences and the factors influencing them in a named emerging country. AO2 (3 marks): Understanding of how physical, human, and economic factors interact to create development gaps. AO3 (2 marks): Assessment and evaluation of the relative importance of these factors, leading to a balanced, supported conclusion. Level 1 (1-3 marks): Demonstrates isolated knowledge of regional differences. Simple, descriptive points with limited or no specific case study detail. Level 2 (4-6 marks): Explains how a range of physical and human/economic factors cause uneven development, with clear reference to a specific emerging country and its regions. Shows some attempt to assess the relative importance of these factors. Level 3 (7-8 marks): Systematic assessment of the relative importance of different factors (e.g., physical vs. political/economic) with a clear, supported judgment. Well-integrated, highly specific case study detail. [Spelling, Punctuation, and Grammar (SPaG) is assessed out of an additional 4 marks: Threshold (1 mark) - reasonable accuracy; Intermediate (2-3 marks) - considerable accuracy; High (4 marks) - consistent accuracy and control.]

To gain maximum SPaG marks (4 marks), the response must demonstrate high performance:
- Spell and punctuate with consistent accuracy.
- Use rules of grammar with effective control of meaning throughout.
- Use a wide range of specialist terms as appropriate, such as 'bilateral aid', 'non-governmental organisations (NGOs)', 'bottom-up development', 'Human Development Index (HDI)', and 'infrastructure'.

Marks are awarded for spelling, punctuation and grammar according to the following criteria:

- **0 marks**: No rewardable material (e.g., response is completely unreadable or does not address the question).
- **Threshold performance (1 mark)**: Learners spell and punctuate with reasonable accuracy. Rules of grammar are used with some control of meaning, and any errors do not significantly hinder overall comprehension. A limited range of specialist terms is used.
- **Intermediate performance (2-3 marks)**: Learners spell and punctuate with considerable accuracy. Rules of grammar are used with general control of meaning overall. A good range of specialist terms is used as appropriate.
- **High performance (4 marks)**: Learners spell and punctuate with consistent accuracy. Rules of grammar are used with effective control of meaning throughout. A wide range of specialist terms is used accurately and confidently.

A megacity is defined as a continuous urban area with a total population of 10 million or more people. Therefore, option C is the correct definition.

Award 1 mark for the correct option (C). Reject all other options.

Bottom-up strategies are developmental approaches that originate at the local community level. They are typically small-scale, low-cost, and involve local residents directly in both the planning and labor phases to improve their immediate living conditions. Thus, option B is correct.

Award 1 mark for the correct option (B). Reject all other options.

First, calculate the absolute increase in population: \(16.0\text{ million} - 12.5\text{ million} = 3.5\text{ million}\). Next, calculate the percentage increase relative to the original population in 2010: \(\frac{3.5}{12.5} \times 100 = 28\%\).

Award 1 mark for the correct method of calculating the percentage increase, showing the difference divided by the original value: \(\frac{3.5}{12.5} \times 100\) (or equivalent). Award 2 marks for the correct final answer of 28% (accept 28).

To construct a choropleth map for this data, you would first group the percentage of population living in informal settlements into distinct data intervals or classes. Each district on the map of the megacity is then shaded using a color gradient, where darker shades correspond to classes with higher percentages and lighter shades represent lower percentages. A key is provided to decode the percentage range represented by each shade.

Award 1 mark for describing how the map is shaded/constructed, and 1 mark for further development of how the data ranges or key are represented.

- Map districts are shaded in different tones/gradients of a color (1).
- Darker shades are used to indicate districts with higher percentages of informal settlements (or lighter for lower percentages) (1).
- Data is grouped into categories/classes represented by different shades, defined in a map key (1).

To construct a choropleth map for this data, you would first group the percentage of population living in informal settlements into distinct data intervals or classes. Each district on the map of the megacity is then shaded using a color gradient, where darker shades correspond to classes with higher percentages and lighter shades represent lower percentages. A key is provided to decode the percentage range represented by each shade.

Award 1 mark for describing how the map is shaded/constructed, and 1 mark for further development of how the data ranges or key are represented.

- Map districts are shaded in different tones/gradients of a color (1).
- Darker shades are used to indicate districts with higher percentages of informal settlements (or lighter for lower percentages) (1).
- Data is grouped into categories/classes represented by different shades, defined in a map key (1).

Award 1 mark for identifying a valid reason, and 1 mark for an explanation/development of this reason.

Suitable answers include:
- Rural-to-urban migration (1) because pull factors such as the prospect of higher-paying jobs in manufacturing or services attract young adults from agricultural areas (1).
- Natural increase (1) because megacities tend to have a high proportion of young adults of childbearing age, meaning birth rates are much higher than death rates (1).
- Improved healthcare in cities (1) which lowers infant mortality and increases life expectancy, contributing to positive population growth (1).

- 1 mark for identifying a valid reason for growth.
- 1 mark for further explanation/development that explains how or why this leads to rapid population growth.
- Reject vague responses such as 'more people move there' without an explanation of a push/pull factor or natural increase.

Award 1 mark for identifying a valid reason, and 1 mark for an explanation/development of this reason.

Suitable answers include:
- Deindustrialisation (1) which results in the closure of factories and loss of manufacturing jobs, prompting people to relocate to search for work elsewhere (1).
- Counter-urbanisation (1) where families and retirees choose to leave crowded urban areas for rural or suburban locations to achieve a better quality of life (1).
- High cost of living (1) which forces lower-income households out of the city center to outer areas or smaller towns where housing is cheaper (1).

- 1 mark for identifying a valid reason for decline.
- 1 mark for further explanation/development of how or why this cause leads to population decline.
- Reject responses that just state 'people move' without explaining why they are leaving (e.g., job loss, quality of life, housing costs).

Sub-Saharan Africa experienced a much faster rate of urban population growth than Europe between 2000 and 2020. In Sub-Saharan Africa, the urban population more than doubled, increasing by 250 million (from 200 million to 450 million). In contrast, Europe experienced slow growth, with its urban population increasing by only 40 million (from 510 million to 550 million).

Award 1 mark for each comparative point, up to a maximum of 3 marks. At least one point must use or manipulate data for full marks. - Sub-Saharan Africa's urban population grew at a faster rate or by a larger absolute amount than Europe's (1). - Sub-Saharan Africa's urban population increased by 250 million (from 200 to 450 million) (1). - Europe's urban population increased by only 40 million (from 510 to 550 million) (1). - Sub-Saharan Africa's urban population more than doubled whereas Europe's only grew by less than 10 percent (1).

The statement explicitly attributes the traffic congestion to two main causes: 1) a 'rapid increase in private car ownership' (or the fact that car numbers rose from 200,000 to 500,000) and 2) that the 'road network remained unchanged'.

Award 1 mark for any of the following correct pieces of evidence identified from the text:
- Rapid increase in private car ownership / rise in private car ownership (1)
- Private car numbers rising from 200,000 to 500,000 (1)
- The road network remained unchanged / road network did not grow (1)

To calculate the simplified ratio of buses to private cars in 2020:
1. Identify the values for the year 2020: Buses = 25,000 and Private Cars = 300,000.
2. Write the initial ratio of buses to private cars: \(25,000 : 300,000\).
3. Simplify the ratio by dividing both numbers by their greatest common divisor, which is 25,000:
\(25,000 \div 25,000 = 1\)
\(300,000 \div 25,000 = 12\)
4. This gives the final simplified ratio of 1:12.

Award 1 mark for the correct simplified ratio:
- 1:12 (or 1 to 12) (1)

Do not accept unsimplified ratios such as 25,000:300,000 or 25:300.

### Exemplar Response (Focusing on Mumbai):

Mumbai's population has grown rapidly to over 20 million, creating severe challenges:

1. **Housing and Sanitation (Slums):** Over 60% of the population lives in informal settlements like Dharavi. Sanitation is a major crisis, with up to 4,000 people sharing a single toilet. This leads to the spread of waterborne illnesses like typhoid and cholera.
2. **Infrastructure and Congestion:** Traffic congestion is severe, with overcrowded commuter trains ('super-dense crush load') leading to safety hazards. Air pollution from vehicles and industries is high.
3. **Employment:** Over 68% of the workforce is in the informal sector. While this provides jobs, workers lack contracts, steady wages, and safe working conditions.

**Assessment:**
While economic challenges (informal sector) and congestion are major inconveniences, the primary and most severe challenge is **sanitation and housing**. This directly threatens human life through disease outbreaks. The fundamental issue is that the rate of population growth vastly outpaces the financial and administrative capacity of the municipal government to build permanent infrastructure, making self-help and informal solutions necessary but insufficient.

**Marking Scheme (8 Marks Total):**

* **AO2 (4 Marks):** Apply knowledge and understanding of the challenges of rapid population growth in a named megacity.
* **AO3 (4 Marks):** Assess/evaluate the relative severity, interconnectivity, or management of these challenges, leading to a balanced conclusion.

**Level Descriptors:**

* **Level 1 (1–3 marks):** Demonstrates isolated elements of understanding of megacity challenges. Described in general terms, potentially without a specific named megacity. Very limited or no assessment of the relative severity or impacts.
* **Level 2 (4–6 marks):** Demonstrates mostly accurate understanding of the challenges with some specific facts/figures from a named megacity (e.g., Dharavi in Mumbai or Makoko in Lagos). There is an attempt to assess the challenges, showing some logical explanation of which challenge is more significant or how they are linked.
* **Level 3 (7–8 marks):** Demonstrates detailed, accurate, and specific geographical understanding of the named megacity. Authoritative assessment is woven throughout, leading to a well-supported, balanced judgment/conclusion about which challenges are most critical and why they are so difficult to resolve (e.g., rate of growth outstripping governance capacity).

Upland landscapes in the north and west of the UK (such as Scotland, Wales, and the Lake District) are shaped by older, more resistant igneous and metamorphic rocks (e.g., granite and slate) which erode slowly. Lowland landscapes in the south and east are characterized by younger, weaker sedimentary rocks like clay and chalk.

Award 1 mark for the correct answer (A). No marks for incorrect options (B, C, or D).

Hydraulic action is the process where the sheer force of the water forces air into cracks in the river bank. This compresses the air, and when the water retreats, the air expands explosively, weakening and breaking apart the rock over time. Abrasion is the scraping of the bed and banks by load; attrition is the wearing down of the load itself; solution is the chemical dissolving of rocks.

Award 1 mark for the correct answer (C). No marks for incorrect options (A, B, or D).

Past tectonic activity, such as volcanic eruptions or plate collisions, has significantly shaped the UK's physical landscape. For instance, volcanic activity during the Paleozoic era led to the formation of tough, highly resistant igneous rocks such as granite. Over millions of years, weaker surrounding sedimentary rocks were eroded away, leaving these durable igneous formations to stand out as rugged upland landscapes, such as Dartmoor or the Lake District.

Award 1 mark for identifying a valid way tectonic activity influenced the landscape, and 1 mark for explaining how this created the current physical landscape features. For example: Volcanic activity created tough igneous rocks like granite (1) which resist erosion to form upland areas (1).

The vulnerability of a coastline to weathering often depends on its lithology (rock type) and geological structure. Coastlines composed of heavily jointed, faulted, or bedded rocks are more vulnerable. Water can easily collect in these fractures; during cold periods, this water freezes and expands, widening the cracks and accelerating freeze-thaw weathering.

Award 1 mark for identifying a valid geological or climatic factor (1), and 1 mark for explaining how this factor increases weathering vulnerability (1). For example: Heavily jointed rocks contain structural weaknesses (1) which allow water to enter and accelerate freeze-thaw weathering (1).

Human activities can significantly alter river catchments and increase flood risk. For example, urbanisation involves building roads, pavements, and buildings made of impermeable materials like concrete. When it rains, these surfaces prevent water from infiltrating into the soil, leading to rapid surface runoff into local river channels, which quickly increases river discharge and elevates the risk of flooding.

Award 1 mark for identifying a valid human activity (1), and 1 mark for explaining how this activity increases flood risk (1). For example: Urbanisation creates impermeable surfaces like tarmac (1), which prevents infiltration and increases rapid surface runoff into the river (1).

Hard engineering involves building artificial structures to control natural coastal processes. For example, sea walls are large concrete barriers constructed along the base of cliffs or at the back of a beach. They protect the coastline by acting as a physical barrier that intercepts incoming waves, absorbing their energy and reflecting it back out to sea, which prevents the waves from directly eroding the cliffs behind them.

Award 1 mark for identifying a valid hard engineering method (1), and 1 mark for explaining how it physically prevents or reduces erosion (1). For example: Building a sea wall along the cliff base (1) absorbs and reflects wave energy back to sea to prevent direct erosion (1).

To achieve full marks, candidates must identify two distinct ways past glaciation has affected the upland landscape and explain each using geographical processes.

Way 1: Glaciers eroded valley floors and sides through plucking and abrasion (1 mark), which widened and deepened existing river valleys into steep-sided, flat-bottomed U-shaped valleys (1 mark).

Way 2: As the temperatures warmed and glaciers retreated, they deposited unsorted material (till) they were carrying (1 mark), which accumulated to form depositional features like moraines or drumlins (1 mark).

For each way, award 1 mark for identifying a valid glacial process/landform and 1 mark for explaining how it shaped the upland landscape (total 2 + 2 = 4 marks).

Suggested response paths:
- Glaciers eroded the valleys through abrasion and plucking (1) which carved out steep-sided, flat-bottomed U-shaped valleys (1).
- Freeze-thaw weathering on the valley sides created jagged, steep ridges (1) which resulted in sharp arêtes and pyramidal peaks (1).
- As the ice melted, glaciers deposited transported material (till) (1) which accumulated to form features like moraines on the valley floor (1).

Do not credit descriptions of lowland glacial processes (e.g. outwash plains) unless directly linked to shaping uplands.

To achieve full marks, candidates must identify two distinct ways geology influences relief and explain the physical processes/rock properties involved.

Way 1: Areas with highly resistant igneous rocks (like granite) do not erode easily (1 mark), resulting in high-altitude, steep-sided mountainous relief such as the mountains of Scotland and Wales (1 mark).

Way 2: Areas with less resistant sedimentary rocks (like clay) are easily weathered and eroded over time (1 mark), which creates flat or gently rolling lowland plains such as those found in southern and eastern England (1 mark).

For each way, award 1 mark for identifying a valid relationship/influence of geology on relief, and 1 mark for explanation/development (total 2 + 2 = 4 marks).

Suggested response paths:
- Tough, resistant rocks like granite or slate do not weather or erode easily (1), meaning they remain as high, rugged mountains in western and northern parts of the UK (1).
- Softer, weak sedimentary rocks like clay are easily worn down by water and wind (1), which leads to the formation of wide, low-lying flat plains (1).
- Alternating bands of hard and soft rock can erode at different rates (differential erosion) (1), leading to the formation of distinctive scarp and vale topography (1).

Accept references to specific UK geographic locations (e.g., Snowdonia, the Fens, the South Downs) as part of the explanation.

Extreme summer weather in the UK is characterized by prolonged heatwaves and droughts, punctuated by sudden, intense convective rainstorms. These weather patterns have significant, contrasting impacts on UK physical landscapes. Firstly, during prolonged hot and dry periods, river discharge drops significantly. This lack of water reduces the river's energy, meaning that erosion ceases and deposition of fine sediment becomes the dominant process. At the same time, high temperatures cause clay-rich soils and rocks to dry out, shrink, and crack, which is a key form of physical weathering. Secondly, when intense summer rainstorms occur on dry, hard-baked soils, the ground is highly impermeable due to low infiltration capacity. This results in rapid surface runoff, leading to sudden flash flooding in river valleys. The resulting high-energy river flows cause rapid lateral and vertical erosion through hydraulic action and abrasion, dramatically altering river channels and transporting massive volumes of sediment downstream. Thirdly, slope stability on upland slopes and coastal cliffs is severely affected. Intense rain filling deep desiccation cracks increases pore water pressure, destabilizing the slope and triggering sudden mass movement events such as slumping, rockfalls, or debris flows. In conclusion, while dry summer weather temporarily reduces some active processes like river erosion, its true impact is that it primes the landscape for highly destructive, rapid geomorphic changes when sudden, intense summer storms occur. Therefore, the combination of these extreme summer conditions has a highly significant, dynamic impact on UK physical landscapes.

AO2 (4 marks) and AO3 (4 marks) breakdown. Level 1 (1-3 marks): Demonstrates isolated knowledge of physical processes or weather types. Explanations are brief or descriptive with limited application to the landscape. Level 2 (4-6 marks): Demonstrates good understanding of how extreme summer weather (both dry periods and storms) affects physical landscapes (such as clay cracking, runoff, mass movement, or river discharge). Some assessment of the impacts is present. Level 3 (7-8 marks): Demonstrates detailed understanding, showing clear application to both the dry and wet phases of summer extremes. Offers a well-supported, logical assessment of how these contrasting conditions interact to drive rapid, significant landscape changes.

Globalisation has meant that many manufacturing industries in the UK could not compete with the lower labour, land, and operational costs in emerging and developing countries. This led to widespread deindustrialisation and a shift towards the service sector in the UK.

Award 1 mark for the correct answer (A). All other options are incorrect.

The South East of England features flatter topography and a milder, drier climate compared to the rugged, mountainous terrain and harsher climate of northern Scotland. These physical factors historically made the South East much easier to farm, build on, and develop major infrastructure, resulting in higher population density.

Award 1 mark for the correct answer (A). All other options are incorrect.

One reason why secondary sector employment in the UK has declined since 1970 is globalisation and the outsourcing of manufacturing. Many transnational corporations moved their production factories to emerging countries where labour costs are lower, leading to deindustrialisation in the UK. Another factor is mechanisation and automation, where machines have replaced human workers on production lines.

Award 1 mark for any valid reason suggested.

Suitable responses include:
- Globalisation / outsourcing / competition from countries with lower labour costs (1)
- Increased mechanisation / automation / use of robots in factories replacing human workers (1)
- Higher cost of energy, land, or raw materials in the UK making manufacturing unprofitable (1)
- Deindustrialisation and the shift towards a service-based economy (1)

Do not accept: 'people wanted other jobs' or 'recession' without further geographical qualification.

To reduce regional differences, the UK government has used several strategies. One strategy is the Northern Powerhouse initiative, which aims to attract investment and improve transport links between northern cities. Another strategy is the creation of Enterprise Zones, which offer tax incentives and simplified planning processes to businesses relocating to economically depressed areas.

Award 1 mark for identifying a valid government strategy.

Suitable responses include:
- Enterprise Zones (or Local Enterprise Partnerships / LEPs) (1)
- The Northern Powerhouse initiative (1)
- Investing in major transport infrastructure (e.g. High Speed 2 / HS2 or Northern Powerhouse Rail) to connect northern cities to London (1)
- Relocating government departments / civil service jobs out of London (e.g. moving parts of the civil service to Darlington or Sheffield) (1)
- Devolution of power to regional mayors (e.g. in Greater Manchester) (1)

Do not accept vague terms like 'giving money' without naming a strategy or mechanism.

Step 1: Calculate the absolute increase in population:
\(65,400 - 60,000 = 5,400\)

Step 2: Calculate this increase as a percentage of the original 2011 population:
\(\frac{5,400}{60,000} \times 100 = 9\%\)

Award 1 mark for showing a correct method (working):
\(\frac{5,400}{60,000} \times 100\) (or equivalent).

Award 1 mark for the correct final answer:
9% (accept "9").

Rural areas in the UK have experienced counter-urbanisation due to push and pull factors. A key pull factor is the development of technology which enables remote working, allowing people to relocate to rural villages for a better quality of life while maintaining their employment.

Award 1 mark for identifying a valid reason for rural population growth (1) and a second mark for explaining/developing how this leads to growth (1).

Suitable explanations include:
- Improvements in digital technology/broadband (1) which enables teleworking/working from home, removing the need to live near urban offices (1).
- Better transport links/motorway networks (1) which allows people to commute long distances back into major cities for work (1).
- Perceived better quality of life/lower crime rates in the countryside (1) which attracts young families or retirees looking to escape urban pollution and congestion (1).
- More affordable or larger housing options (1) which provides better value for money compared to high property prices in major cities (1).

A full-mark response should compare the scale, sector focus, and economic role of FDI between these regions:

1. **Scale of Investment**: London and the South East attract the highest proportion of FDI projects in the UK, whereas peripheral regions (such as the North East or Northern Ireland) attract significantly lower total volumes of investment.
2. **Sectoral Focus**: FDI in London and the South East is heavily concentrated in knowledge-intensive, tertiary, and quaternary services (such as finance and digital technology). In contrast, FDI in other regions, like the West Midlands or North East, is often more focused on secondary manufacturing and engineering (e.g., transport and automotive industries).
3. **Economic Purpose**: In London, FDI reinforces its position as a dominant global financial hub and drives high-wage employment. Conversely, in other UK regions, FDI is crucially important for regional regeneration, offering a lifeline of new jobs to replace those lost during deindustrialisation.

Award 1 mark for each appropriate comparative point, up to a maximum of 3 marks. Candidates must use comparative language (e.g., 'whereas', 'however', 'by contrast', 'larger than') to secure the marks.

- Award 1 mark for comparing the volume/concentration of investment (e.g., London attracts the majority of FDI whereas other UK regions receive much less).
- Award 1 mark for comparing the industrial sectors targeted (e.g., London FDI is focused on services/finance, while in other regions it is more focused on manufacturing/industry).
- Award 1 mark for comparing the economic impacts or roles (e.g., FDI in London builds on existing global financial dominance, whereas in other regions it acts as a tool for regional regeneration and replacing lost industrial jobs).

Do not credit two separate points that do not contain a comparative element.

International migration affects the demographic structure of UK cities in several ways. Firstly, it reduces the average age of the city's population. This happens because the majority of incoming international migrants are young working-age adults (typically aged 18 to 35) seeking employment or higher education. Secondly, it increases the birth rate and natural population increase within the city. Because a high proportion of these migrants are in their key reproductive years, they are more likely to have children, leading to an increase in the proportion of young children in the urban population.

For each of the two impacts: Award 1 mark for identifying a demographic impact, and 1 mark for explaining how or why this impact occurs (2 + 2 marks). Suitable points include: - Impact: Lowers the average age of the population (1 mark). Explanation: This is because most international migrants are young adults of working age (1 mark). - Impact: Increases the birth rate / natural increase (1 mark). Explanation: This is because many of the incoming migrants are of child-bearing age (1 mark). - Impact: Decreases the dependency ratio (1 mark). Explanation: It increases the size of the active working-age cohort relative to children and the elderly (1 mark). Accept any other valid demographic points. Reject purely economic, environmental, or cultural impacts (e.g. pressure on school places, changes in languages spoken) unless they are directly linked to demographic change.

### Indicative Content

**Introduction:**
There is a notable economic divide in the UK, often characterised by a prosperous 'core' (London and the South East) and less economically developed 'periphery' regions (such as parts of the North, Wales, and the South West).

**Reasons for variations:**
* **Deindustrialisation and Structural Change:** Traditional industrial areas in the North of England, Scotland, and Wales suffered heavily from deindustrialisation in the mid-to-late 20th century as heavy manufacturing, coal mining, and shipbuilding declined. These regions struggled to transition to the service-based economy, leading to higher unemployment and lower GDP per capita.
* **The Rise of the Knowledge and Financial Economy:** London and the South East have benefited disproportionately from the growth of tertiary and quaternary sectors, such as financial services, technology, and creative industries. The concentration of multinational headquarters and high-paying jobs in the 'M4 corridor' and London has driven rapid economic growth.
* **Infrastructure and Connectivity:** Major transport infrastructure projects (e.g., Heathrow Airport, Crossrail, and radial motorway networks) are heavily concentrated in the South East. This makes the region highly attractive to Foreign Direct Investment (FDI), further widening the development gap compared to peripheral regions that suffer from poorer connectivity.
* **Physical Geography and Location:** Historically, physical factors played a role; deep-water ports and coalfields drove northern industrialisation. Today, proximity to mainland Europe and the concentration of political power in Westminster makes the South East a dominant gateway, reinforcing its economic advantage.
* **Government Policies and Investment:** Attempts to 'level up' or redistribute wealth through enterprise zones, regional development funds, and infrastructure investments (such as HS2 or the Northern Powerhouse) have had mixed success and have not yet fully closed the regional divide.

**Assessment/Conclusion:**
While historical physical factors laid the groundwork for regional variations, modern disparities are primarily driven by political decision-making, infrastructure investment biases, and global economic shifts towards the knowledge economy, which naturally favour the pre-established London-centric core over peripheral areas.

**Mark Allocation:**
* **AO2 (4 marks):** Show understanding of the factors causing regional variation in economic development in the UK.
* **AO3 (4 marks):** Assess the relative importance/interplay of these factors, reaching a balanced and supported conclusion.

**Levels-Based Marking Grid:**

* **Level 1 (1–3 marks):**
* Demonstrates isolated elements of geographical knowledge and understanding of regional differences in the UK. (AO2)
* Very limited or generic assessment of the reasons. Any conclusion is brief or absent. (AO3)

* **Level 2 (4–6 marks):**
* Demonstrates geographical understanding of why economic development varies (e.g., mentions deindustrialisation vs tertiary growth, transport, or location). (AO2)
* Applies knowledge to assess the reasons, showing some logical chain of reasoning and beginning to evaluate which factors are most influential. (AO3)

* **Level 3 (7–8 marks):**
* Demonstrates detailed and coherent geographical understanding of the core-periphery model and the multi-faceted reasons for regional variations. (AO2)
* Offers a balanced and well-developed assessment of the factors, culminating in a clear, logical, and well-supported conclusion on the relative significance of different reasons. (AO3)

To achieve maximum SPaG marks (4 marks), the response must demonstrate:
- Consistent accuracy in spelling and punctuation, including complex geographical vocabulary and proper nouns (e.g., 'deindustrialisation', 'periphery', 'infrastructure', 'Northern Powerhouse').
- Excellent grammatical control, ensuring that arguments flow logically and meaning is never obscured.
- A wide and highly appropriate range of specialist geographical terminology used in context.

**Threshold Performance (1 mark):**
- Learners spell and punctuate with reasonable accuracy.
- Learners use rules of grammar with some control of meaning and any errors do not significantly hinder meaning.
- Learners use a limited range of specialist terms.

**Intermediate Performance (2-3 marks):**
- Learners spell and punctuate with considerable accuracy.
- Learners use rules of grammar with general control of meaning overall.
- Learners use a good range of specialist terms as appropriate.

**High Performance (4 marks):**
- Learners spell and punctuate with consistent accuracy.
- Learners use rules of grammar with effective control of meaning overall.
- Learners use a wide range of specialist terms as appropriate.

To achieve maximum SPaG marks (4 marks), the response must demonstrate:
- Consistent accuracy in spelling and punctuation, including complex geographical vocabulary and proper nouns (e.g., 'deindustrialisation', 'periphery', 'infrastructure', 'Northern Powerhouse').
- Excellent grammatical control, ensuring that arguments flow logically and meaning is never obscured.
- A wide and highly appropriate range of specialist geographical terminology used in context.

**Threshold Performance (1 mark):**
- Learners spell and punctuate with reasonable accuracy.
- Learners use rules of grammar with some control of meaning and any errors do not significantly hinder meaning.
- Learners use a limited range of specialist terms.

**Intermediate Performance (2-3 marks):**
- Learners spell and punctuate with considerable accuracy.
- Learners use rules of grammar with general control of meaning overall.
- Learners use a good range of specialist terms as appropriate.

**High Performance (4 marks):**
- Learners spell and punctuate with consistent accuracy.
- Learners use rules of grammar with effective control of meaning overall.
- Learners use a wide range of specialist terms as appropriate.

To measure a beach profile quantitatively, students must collect numerical data such as distance and slope angle.

An explanation should identify the equipment/step used (1 mark) and explain how this provided quantitative data or how it was done (1 mark).

Example answer:
We placed ranging poles at each break of slope along our transect line (1) and then used a clinometer to measure the angle of slope in degrees between matching marks on the poles to record numerical gradient data (1).

Award 1 mark for identifying a valid quantitative method/equipment used to measure the beach profile, and a further 1 mark for an explanation of how the data was gathered/measured.

- E.g. We used a tape measure laid along the sand (1) to measure the precise distance in metres between each break of slope (1).
- E.g. We used a clinometer to target a matching height on a ranging pole (1) to get a numerical measurement of the slope angle in degrees (1).

Do not accept purely qualitative observations (e.g. 'we looked at the size of the beach to see if it was steep').

One common accuracy issue is that ranging poles can sink into soft sand or pebbles. This decreases the height of the line of sight relative to the other pole, which causes the student to measure an incorrect slope angle on the clinometer. Another issue is human error, where the person using the clinometer fails to align it precisely with the matching height marker on the opposite ranging pole, leading to an inaccurate angle reading.

Award 1 mark for identifying a valid accuracy issue (point/reason), and a further 1 mark for explaining how this affects accuracy (development). For example: Ranging poles sinking into soft sand or gravel (1), which reduces the height of the target line and leads to an incorrect angle measurement being recorded (1). OR: Difficulty in holding the clinometer steady due to windy weather (1), which leads to misreading the degree scale and recording inaccurate slope angles (1).

One way qualitative data, such as annotated photographs, is useful is because it provides a permanent visual record of the physical features or coastal defences at the time of the investigation (1). This can then be used to support and explain quantitative data, such as beach profiles, by visually demonstrating where sediment is accumulating or where erosion is most active (1).

Award 1 mark for identifying a valid usefulness of qualitative data (e.g., annotated photographs, field sketches) and a further 1 mark for explaining how this supports the investigation or links to analysis. For example, annotated photographs provide a visual record of the state of the sea defences (1), which can help explain anomalies in the beach profile measurements (1). Alternatively, field sketches allow you to highlight and label specific features of erosion, like wave-cut notches (1), which helps to contextualise the high rate of cliff retreat measured (1). Do not accept generic answers that do not link usefulness to a coastal physical fieldwork context.

To improve the reliability of river channel measurements:

1. **Use digital recording equipment (such as a digital flow meter):** This improves reliability because it reduces human error associated with using traditional floats and stopwatches, which can be affected by individual reaction times and wind resistance.

2. **Increase the frequency of sampling (such as measuring depth at smaller intervals across the river profile):** This improves reliability because it captures minor variations in the riverbed topography, reducing the impact of anomalous deep points and providing a much more accurate calculation of the channel cross-section.

Award 1 mark for identifying a valid way to improve reliability of data collection, and 1 mark for explaining how this change improves the reliability/accuracy of the data (up to 2 marks per improvement, maximum of 4 marks in total).

**Example responses:**
- We could use a digital flow meter instead of an impeller or float method (1) which eliminates human reaction-time error when using a stopwatch to measure speed (1).
- Take depth measurements at shorter intervals across the channel, such as every 20cm instead of 50cm (1) which provides a more detailed, representative average of the channel profile and reduces the effect of anomalies (1).
- Repeat the velocity readings three times at each point across the river and calculate a mean (1) which reduces the impact of anomalous flow surges at that moment (1).

To improve the reliability of river channel measurements:

1. **Use digital recording equipment (such as a digital flow meter):** This improves reliability because it reduces human error associated with using traditional floats and stopwatches, which can be affected by individual reaction times and wind resistance.

2. **Increase the frequency of sampling (such as measuring depth at smaller intervals across the river profile):** This improves reliability because it captures minor variations in the riverbed topography, reducing the impact of anomalous deep points and providing a much more accurate calculation of the channel cross-section.

Award 1 mark for identifying a valid way to improve reliability of data collection, and 1 mark for explaining how this change improves the reliability/accuracy of the data (up to 2 marks per improvement, maximum of 4 marks in total).

**Example responses:**
- We could use a digital flow meter instead of an impeller or float method (1) which eliminates human reaction-time error when using a stopwatch to measure speed (1).
- Take depth measurements at shorter intervals across the channel, such as every 20cm instead of 50cm (1) which provides a more detailed, representative average of the channel profile and reduces the effect of anomalies (1).
- Repeat the velocity readings three times at each point across the river and calculate a mean (1) which reduces the impact of anomalous flow surges at that moment (1).

### Model Answer Structure:

**Introduction:**
The proposed methodology has some useful structural elements, but contains major flaws regarding data reliability, validity, and safety that limit its effectiveness in proving the hypothesis.

**Strengths of the plan:**
* **Systematic Sampling**: Selecting five sites spaced 2-3km apart provides a logical, representative profile of the river's course from upstream to downstream.
* **Discharge Formula**: The formula used to calculate discharge (Cross-sectional Area \times Velocity) is correct and scientifically standard.
* **Multiple Depth Measurements**: Taking three depth measurements (left, middle, right) is better than a single measurement, as it attempts to account for variation in the channel bed shape.
* **Temporal Consistency**: Collecting all data on the same afternoon ensures that external environmental variables (such as a sudden change in seasonal weather) do not skew comparisons between sites.

**Weaknesses of the plan:**
* **Anomalous Site 3**: Site 3 is located directly below a reservoir spillway. Reservoirs artificially regulate flow, meaning velocity and discharge here will reflect human management rather than natural downstream processes, undermining the validity of the study.
* **Surface Velocity Only**: Using a floating cork only measures surface velocity, which is often faster than the average flow of the water column (which is slowed by friction at the river bed) and can be easily skewed by wind. A flow meter held at 0.6 depth would be far more accurate.
* **Lack of Repeats (Reliability)**: Measuring velocity only *once* at each site introduces significant human error (e.g., reaction times with the stopwatch). Repeating the test at least three times and calculating a mean would improve reliability.
* **Inaccurate Cross-Sectional Area**: Measuring depth at only three points across a river (especially in wider downstream sections) is insufficient to calculate an accurate average depth. Systematic intervals (e.g., every 50cm or 1m) would yield a much more accurate cross-sectional profile.
* **Timing and Safety**: Conducting the fieldwork in December immediately after a 24-hour heavy rainstorm poses a significant safety hazard (rapidly rising levels, slippery banks). Furthermore, the data will reflect an atypical flood peak (stormflow) rather than normal baseflow conditions.

**Conclusion:**
While the plan's overall structure is logical, it requires significant improvements. To make the data valid and reliable, the students must avoid artificial sites like the reservoir, conduct multiple repeats of velocity, use systematic sampling for depth, and carry out the investigation during safer, more stable weather conditions.

**Marking Criteria (8 Marks total):**

* **Level 1 (1–3 marks) - AO3/AO4**
- Demonstrates isolated elements of geographical knowledge and understanding of river fieldwork techniques (AO4).
- Offers a basic evaluation with simple, unstructured points about strengths or weaknesses (e.g., 'the rain is dangerous' or 'measuring once is bad') (AO3).
- Lacks balanced arguments or a clear conclusion.

* **Level 2 (4–6 marks) - AO3/AO4**
- Demonstrates appropriate geographical knowledge and understanding of river processes and fieldwork methodology (AO4).
- Evaluates both strengths and weaknesses, showing an understanding of how specific techniques (e.g., cork velocity vs. flow meter, reservoir interference, interval depth measurements) affect the data collected (AO3).
- Arguments are mostly clear and structured, leading to a logical, if brief, conclusion.

* **Level 3 (7–8 marks) - AO3/AO4**
- Demonstrates detailed, wide-ranging geographical knowledge and understanding of physical fieldwork design (AO4).
- Offers a highly balanced and thoroughly evaluated critique of the plan, explicitly linking methodological weaknesses to data validity and reliability (AO3).
- Reaches a well-substantiated, coherent conclusion with precise geographical terminology throughout (such as baseflow, systematic sampling, systematic error, cross-sectional area).

Award 1 mark for identifying a specific sampling method or a reason for its selection, and a second mark for explaining how this benefited the investigation. For example: We used systematic sampling to survey every tenth person we encountered (1), which prevented personal bias from affecting our questionnaire results (1). Alternatively: Stratified sampling was used to select equal numbers of modern and older residential areas (1), which allowed us to make a fair comparison of environmental quality across different housing epochs (1).

Award 1 mark for identifying a valid reason or sampling method (1), and a further 1 mark for explaining how this improved the reliability, validity, or feasibility of the data collection (1).

Award 1 mark for identifying a valid reason for unreliability, and a further 1 mark for explaining how this affects the reliability of the data, up to a maximum of 4 marks (2 x 2 marks). Reason 1: The sample size may have been too small (1 mark), meaning the results are not representative of the wider population and can easily be skewed by anomalous responses (1 mark). Reason 2: Sampling bias due to the time of day (1 mark), because conducting surveys on a weekday morning means working-age people are underrepresented, leading to biased conclusions about local views (1 mark). Reason 3: Question design/bias (1 mark), as leading questions might have influenced respondents to give positive answers about urban regeneration rather than their genuine feelings (1 mark).

For each of the two explanations: Award 1 mark for identifying a valid reason for unreliability (e.g., small sample size, sampling bias, time of day, location bias, interviewer effect, or poor question design). Award 1 mark for explaining how this impacts the reliability or representativeness of the data collected. Max 4 marks. Do not credit errors that are only relevant to physical geography fieldwork (e.g., flow meters, clinometers).

Award 1 mark for identifying a valid reason for unreliability, and a further 1 mark for explaining how this affects the reliability of the data, up to a maximum of 4 marks (2 x 2 marks). Reason 1: The sample size may have been too small (1 mark), meaning the results are not representative of the wider population and can easily be skewed by anomalous responses (1 mark). Reason 2: Sampling bias due to the time of day (1 mark), because conducting surveys on a weekday morning means working-age people are underrepresented, leading to biased conclusions about local views (1 mark). Reason 3: Question design/bias (1 mark), as leading questions might have influenced respondents to give positive answers about urban regeneration rather than their genuine feelings (1 mark).

For each of the two explanations: Award 1 mark for identifying a valid reason for unreliability (e.g., small sample size, sampling bias, time of day, location bias, interviewer effect, or poor question design). Award 1 mark for explaining how this impacts the reliability or representativeness of the data collected. Max 4 marks. Do not credit errors that are only relevant to physical geography fieldwork (e.g., flow meters, clinometers).

One valid alternative primary data collection method is an Environmental Quality Survey (EQS). The student could design a bipolar index (scoring from -3 to +3) to assess factors like litter, noise levels, and the condition of buildings in both the regenerated area and an unregenerated control area. This would provide quantitative, objective data to compare against the subjective opinions collected in the questionnaires, helping to verify if the physical environment has actually improved.

Award 1 mark for identifying a relevant primary method (AO3) and a further 1 mark for explaining how it helps investigate the success of the regeneration (AO3). Suitable methods include: Environmental Quality Survey (EQS), land-use mapping, pedestrian counts, or decibel/noise surveys. For example: An Environmental Quality Survey (EQS) could be conducted (1 mark), which allows students to measure and compare physical improvements like graffiti, litter, and green space in the regenerated area compared to an unregenerated area (1 mark).

A suitable source of secondary evidence is historical maps (e.g. Ordnance Survey maps) or old street directories of the village from past decades. By comparing the historical map with the current land-use survey, students can identify exactly which services (such as post offices, pubs, or bakeries) have closed down or been converted into residential housing over time, providing clear evidence of service decline.

Award 1 mark for identifying a relevant secondary source (AO3) and a further 1 mark for explaining how it supports the investigation into changing rural services (AO3). Suitable sources include: historical OS maps, local council planning portals, census data on local employment/populations, or historical local directories. For example: Historical Ordnance Survey maps of the village (1 mark) can be compared to the present-day land-use map to show which shops and services have closed or changed use over time (1 mark).

An excellent response should evaluate both primary and secondary data used in the student's specific urban fieldwork (e.g., investigating urban regeneration, inequality, or land-use change).

**Arguments for the significance of primary data:**
- **Direct relevance:** Primary data, such as Environmental Quality Surveys (EQS), land-use mapping, or pedestrian counts, is collected first-hand and tailored directly to the specific hypotheses of the urban enquiry.
- **Temporal relevance:** It represents the exact current state of the urban area on the day of the investigation, capturing real-time human flows and perceptions that published databases cannot show.
- **Limitations:** Primary data is often constrained by a small sample size, seasonal/weekly bias (e.g., only surveying on a Wednesday morning), and subjectivity (e.g., EQS scoring).

**Arguments for the significance of secondary data:**
- **Contextualisation and Scale:** Secondary data, such as the Index of Multiple Deprivation (IMD) or Census data, provides a robust, large-scale socio-economic baseline for the study area (e.g., identifying whether the ward is in the most or least deprived decile nationally).
- **Long-term trends:** Decennial census data or historic maps allow students to assess changes over time (e.g., deindustrialisation or gentrification trends over 10-20 years), which a one-day field trip cannot achieve.
- **Limitations:** Secondary data may be outdated (e.g., Census data can be several years old) and is rarely aggregated to the exact street-level scale of the primary fieldwork sites.

**Conclusion/Synthesis:**
Both data types are crucial. Primary data provides the detailed 'micro-scale' evidence to answer the specific enquiry question, while secondary data provides the 'macro-scale' validity and verification to ensure that local conclusions are representative and not anomalous.

**Mark scheme (8 marks total - Level-based):**

- **Level 1 (1–3 marks):** Demonstrates isolated elements of geographical knowledge and understanding of primary and secondary data. Explains basic advantages or disadvantages of one or both data types, with little or no application to their own specific urban fieldwork. Visualises points in isolation.
- **Level 2 (4–6 marks):** Demonstrates some geographical knowledge and understanding of both primary and secondary data. Applies this to their fieldwork experience to explain how both types helped in drawing conclusions. There is an attempt to compare or assess relative significance, but it may be unbalanced or lack specific detail.
- **Level 3 (7–8 marks):** Demonstrates detailed and accurate geographical knowledge and understanding of primary and secondary data. Effectively applies this to their specific urban fieldwork context to make a balanced, well-supported assessment of their relative significance. Reaches a clear, logical conclusion about how the integration of both types of data leads to a more valid and reliable outcome.

Thomas Malthus argued that human population grows geometrically (1, 2, 4, 8...) whereas food production only increases arithmetically (1, 2, 3, 4...). This leads to a point where population exceeds carrying capacity, causing a resource crisis. Boserup, by contrast, argued that population growth drives technological agricultural innovation (Option B).

Award 1 mark for the correct answer: A.

Coniferous trees in the taiga are adapted to heavy snowfall by having a conical shape and flexible branches, which allows snow to slide off easily. Drip-tips (Option D) and buttress roots (Option B) are adaptations found in tropical rainforests, while large, thin leaves (Option A) are characteristic of temperate deciduous forests.

Award 1 mark for the correct answer: C.

The Taiga biome (boreal forest) faces direct threats from open-cast mining and oil/tar sands extraction, particularly in regions like northern Canada and Siberia. Cattle ranching (Option A) and soy plantations (Option D) are primary drivers of deforestation in the tropical rainforest, not the boreal forest.

Award 1 mark for the correct answer: B.

To find the difference in carbon storage between the Boreal Forest and the Temperate Forest, subtract the Temperate Forest value from the Boreal Forest value: 88 GtC - 59 GtC = 29 GtC.

Award 1 mark for the correct calculation: 29 GtC (accept 29).

To calculate the percentage decrease: first, find the absolute decrease, which is 12,000 minus 6,000, giving 6,000 square kilometres. Next, divide this decrease by the original value (12,000) and multiply by 100 to get the percentage: (6,000 / 12,000) * 100 = 50%.

Award 1 mark for the correct calculation of 50% (accept 50 or -50%). Do not accept 6,000.

To calculate the percentage increase: first, find the absolute increase, which is 5,600 minus 4,000, giving 1,600 cubic kilometres per year. Next, divide this increase by the original 2020 value (4,000) and multiply by 100 to get the percentage: (1,600 / 4,000) * 100 = 40%.

Award 1 mark for the correct calculation of 40% (accept 40 or +40%). Do not accept 1,600.

Award 1 mark for identifying a valid physical reason, and a further 1 mark for geographical development/explanation of how this accelerates nutrient cycling.

- The constant high temperatures and wet conditions (1) speed up the rate of chemical weathering and the decay of organic leaf litter by decomposers (1).
- There is a high density of decomposers (such as fungi, bacteria, and insects) supported by the warm climate (1), which rapidly breaks down fallen organic material to release nutrients back into the soil (1).

Award 1 mark for a valid physical reason (1) and 1 mark for explanation/development (1).

Suitable responses include:
- High temperatures/humidity (1) which increases the rate of decomposition of leaf litter by bacteria and fungi (1).
- High rainfall (1) which helps to wash nutrients from decaying litter directly into the soil for rapid uptake (1).
- Abundant decomposers/detritivores (1) which break down organic material on the forest floor very quickly (1).

Do not accept human causes (e.g., deforestation or farming).

Two reasons why rates of forest loss are high in tropical rainforest biomes are: 1. Commercial Agriculture and Ranching: Large areas of tropical rainforest are cleared to create pasture for cattle grazing or land for soy plantation. This is driven by high global demand for beef and animal feed, leading to rapid, large-scale deforestation. 2. Infrastructure Development and Road Building: Governments build roads (such as the Trans-Amazonian Highway) to access remote resource-rich areas. This construction directly destroys forest and also opens up previously inaccessible areas to illegal loggers, miners, and settlers, escalating forest loss.

Award 1 mark for identifying a reason for forest loss, and 1 mark for explaining/developing that reason, up to a maximum of 4 marks (2 + 2). Reason 1 (max 2 marks): Clear-felling for commercial agriculture or cattle ranching (1 mark) to meet the growing global demand for beef and soy (1 mark); OR Commercial logging (1 mark) where valuable hardwoods (such as mahogany) are harvested for export and furniture manufacturing (1 mark). Reason 2 (max 2 marks): Infrastructure expansion, such as building roads or hydroelectric dams (1 mark) which opens up deep forest areas to further illegal logging and settlement (1 mark); OR Mineral extraction and mining (1 mark) which requires clearing large areas of forest to access minerals like gold or copper (1 mark).

Strength: Global actions like CITES can effectively reduce demand for threatened species by making international trade illegal (1), which directly disincentivises loggers from cutting down high-value endangered timber like mahogany (1). Weakness: However, these schemes are extremely difficult to police globally because many developing nations have limited funding or corruption (1), meaning illegal logging and smuggling can still continue undetected across vast forest borders (1).

Award 1 mark for identifying a strength and 1 mark for an explanation/development of this strength (1+1). Award 1 mark for identifying a weakness and 1 mark for an explanation/development of this weakness (1+1). Total: 4 marks.

Strength: Global actions like CITES can effectively reduce demand for threatened species by making international trade illegal (1), which directly disincentivises loggers from cutting down high-value endangered timber like mahogany (1). Weakness: However, these schemes are extremely difficult to police globally because many developing nations have limited funding or corruption (1), meaning illegal logging and smuggling can still continue undetected across vast forest borders (1).

Award 1 mark for identifying a strength and 1 mark for an explanation/development of this strength (1+1). Award 1 mark for identifying a weakness and 1 mark for an explanation/development of this weakness (1+1). Total: 4 marks.

Energy security is defined as the uninterrupted availability of energy sources at an affordable price. Option B refers to energy conservation/efficiency, Option C describes energy consumption, and Option D is incorrect because energy security can be achieved through a mixture of domestic and imported sources.

Award 1 mark for the correct option (A).

Coniferous trees in the taiga (boreal forest) have adapted to heavy winter snows by having a conical shape and downward-sloping, flexible branches. This allows heavy snow to slide off easily without breaking the branches. Option A describes deciduous trees, Option B is incorrect as permafrost prevents deep root growth, and Option D describes desert plants (succulents).

Award 1 mark for the correct option (C).

Hydraulic fracturing (fracking) involves pumping water, sand, and chemicals at high pressure underground to fracture shale rock and release natural gas. A key local environmental concern is the risk of groundwater contamination from chemical spills or leaking methane. Option A relates more to open-cast coal mining, Option C is not a local impact, and Option D is not characteristic of fracking locations.

Award 1 mark for the correct option (B).

Thomas Malthus argued that human population grows exponentially (geometrically) while food production only increases linearly (arithmetically). He suggested that population growth would eventually outstrip food supply, resulting in a 'Malthusian catastrophe' (famine, war, or disease). Option A describes Boserup's optimistic theory.

Award 1 mark for the correct option (B).

One negative environmental impact is habitat fragmentation. Because large-scale solar farms cover vast areas and are typically surrounded by security fencing, they can block the migration and movement paths of local terrestrial wildlife. A second impact is soil erosion and degradation. Preparing the site often requires clearing native vegetation and grading the land, which leaves the topsoil exposed to wind and rain, leading to increased surface runoff and loss of soil nutrients.

For each impact, award 1 mark for identifying a valid negative environmental impact and 1 mark for a developed explanation of why or how this occurs (2 x 2 marks). For Point 1: Award 1 mark for identifying habitat disruption/fragmentation, and 1 mark for explaining how fencing or land clearing prevents wildlife movement. For Point 2: Award 1 mark for identifying soil erosion/vegetation loss, and 1 mark for explaining how removing plants leads to increased runoff or soil instability. Do not accept social or economic impacts, such as visual pollution or loss of agricultural land value.

Reason 1: Rapid industrialisation and economic growth. As emerging economies shift from agriculture to manufacturing, they build more factories which require vast amounts of electricity and fuel to power machinery and transport goods. Reason 2: Rising living standards and urbanisation. As disposable incomes rise and more people move to cities, they gain access to the national electricity grid and purchase modern appliances (such as air conditioning and refrigerators) or personal vehicles, significantly increasing household energy consumption.

Award 1 mark for identifying a valid reason, and 1 mark for a relevant development/explanation of how this leads to increased energy demand, up to a maximum of 2 marks per reason (2 + 2 marks). Reason 1: Industrialisation or economic growth (1 mark) - factories and heavy industry require huge amounts of electricity and fuel to run machinery (1 mark). Reason 2: Rising disposable incomes or growing middle class (1 mark) - people can afford energy-intensive consumer goods like refrigerators, air conditioning units, or personal cars (1 mark). Reason 3: Rapid urbanisation (1 mark) - as people migrate to cities, they get connected to the electrical grid, increasing domestic power use (1 mark). Reason 4: Rapid population growth (1 mark) - more people results in a higher overall demand for heating, cooking, lighting, and transport (1 mark). Do not accept: 'burning fossil fuels' on its own (this is a source/supply of energy, not a reason for demand growth).

Example using Yasuni National Park, Ecuador: Yasuni National Park is a global biodiversity hotspot containing huge oil reserves. Energy extraction poses severe threats. Firstly, oil road construction causes significant habitat fragmentation, dividing species populations and opening up pristine forest to illegal logging and hunting. Secondly, oil spills and toxic waste water leakages pollute local river systems, threatening aquatic species and indigenous communities. While oil companies argue that modern 'roadless' extraction techniques reduce direct forest clearing, the threat of pipelines leaking under high-rainfall conditions remains high. Ultimately, despite mitigation claims, energy extraction poses an existential threat to Yasuni because the secondary impacts, such as illegal colonization along access corridors, are almost impossible to control once extraction begins.

Assessment is based on Level Descriptors. AO1 (4 marks) focuses on showing knowledge and understanding of the threats of energy extraction on protected areas. AO2 (4 marks) focuses on applying this to assess the severity, scale, or management of these threats. Level 1 (1-3 marks): Focuses on basic, generic threats like pollution or deforestation with little or no reference to a specific area. Assessment is weak or missing. Level 2 (4-6 marks): Gives specific details of a named protected area (e.g. Yasuni or ANWR). Explains multiple threats and begins to assess their severity or the effectiveness of mitigation. Level 3 (7-8 marks): Detailed and accurate knowledge of a specific case study. Offers a balanced and structured assessment of the threats, weighing up different perspectives (e.g., economic necessity vs environmental damage, or short-term vs long-term impacts), leading to a clear and logical conclusion.

Local communities can play a significant role in transitioning to sustainable energy. Two valid actions include:
1. Establishing community-owned wind turbines or solar arrays where local residents invest in and benefit from the green energy produced.
2. Running neighborhood-scale energy efficiency initiatives, such as group purchasing of home insulation or double-glazing, to lower overall heating demand.

Award 1 mark for each valid, distinct community action identified up to a maximum of 2 marks.
- Acceptable answers include: Community solar/wind cooperatives, car-sharing/cycling promotion schemes, community-led insulation/efficiency audits, bulk buying of heat pumps, community compost/biogas generation.
- Reject individual actions that are not organized at a community level (e.g., 'turning off personal lights' or 'buying a private electric car').

Unconventional fossil fuel extraction is highly resource-intensive and poses severe ecological threats. Two distinct environmental risks are:
1. The risk of chemical pollution escaping into local groundwater supplies during the hydraulic fracturing (fracking) process.
2. High levels of land degradation and habitat destruction, such as the clearing of boreal forest required to access Alberta's tar sands.

Award 1 mark for each valid, distinct environmental risk identified up to a maximum of 2 marks.
- Acceptable answers include: Groundwater contamination, surface water pollution, deforestation/habitat clearance, toxic waste tailing ponds, induced seismicity/earthquakes, heavy carbon footprint/greenhouse gas emissions during the extraction phase.
- Reject vague answers such as 'pollution' without elaboration or economic impacts (e.g., 'it is very expensive').

A thorough answer should assess the arguments for and against using historical emissions to determine funding responsibilities. Arguments in favour of historical responsibility include the 'polluter pays' principle: developed countries (such as the USA and UK) have been industrialised since the 19th century and have contributed the majority of cumulative historical emissions, building their wealth on cheap fossil fuels. Therefore, they have a 'carbon debt'. Arguments against include the fact that emerging economies (such as China and India) are currently the largest annual emitters and must be incentivised to decarbonise immediately, regardless of historical context. Furthermore, basing funding purely on historical emissions ignores a country's current economic capacity (GDP) to pay. A balanced conclusion should evaluate that while historical emissions provide a moral framework for responsibility, a realistic global funding strategy must also consider current wealth, technological capability, and modern emission trajectories to be effective.

Level 1 (1-3 marks): Demonstrates isolated elements of geographical knowledge. Identifies basic points about fossil fuel use or differences in country wealth. Level 2 (4-6 marks): Applies geographical knowledge to explain the link between historical cumulative emissions and current industrial development. Begins to assess both sides of the argument. Level 3 (7-8 marks): Offers a balanced, well-structured assessment of the extent to which historical emissions should dictate responsibility, contrasted with other measures (such as current GDP or annual emissions), leading to a fully supported conclusion.

Example answer choosing Option 3:

I believe Option 3 (wind energy and grid battery storage) is the best option for Kalland's future energy strategy because it offers a truly sustainable, low-carbon energy system while avoiding severe degradation of fragile ecosystems.

Wind power produces zero carbon emissions during operation, which aligns with global goals to combat climate change. Although wind power is intermittent, pairing it with grid-scale battery storage overcomes this limitation, ensuring a reliable electricity supply. Compared to Option 1 (shale gas), Option 3 does not rely on fossil fuels. Fracking for shale gas can contaminate local aquifers with toxic chemicals, cause minor seismic activity, and releases methane, a potent greenhouse gas. While shale gas provides rapid energy security, it is a non-renewable transition fuel that delays the necessary shift to net-zero carbon emissions.

Furthermore, Option 3 is far superior to Option 2 (woody biomass) in terms of ecological protection. Harvesting wood from northern Kalland's boreal forest would severely disrupt a highly fragile ecosystem. Boreal forests (taiga) have low biodiversity and short growing seasons, meaning recovery from deforestation is extremely slow. Mass logging would destroy habitats for specialized species, reduce biodiversity, and disrupt the carbon sink, releasing stored carbon and potentially making biomass more carbon-intensive than fossil fuels in the short term. Wind farms, while having a physical footprint, have a much lower direct ecological impact when sited carefully and do not cause widespread habitat destruction or deforestation.

Although Option 3 requires high initial capital investment and advanced technology, it creates long-term, high-skilled green jobs and avoids the long-term environmental clean-up costs associated with fracking (Option 1) or the catastrophic loss of ecosystem services from the taiga (Option 2). Therefore, Option 3 is the most sustainable option for Kalland's economy and environment.

Assessment Objectives: AO3 (6 marks) and AO4 (6 marks)

Level 1 (1-4 marks):
- Demonstrates basic geographical knowledge of energy resources or ecosystems.
- Simple, descriptive statements about the chosen option.
- Little or no comparison with alternative options.
- Limited use of geographical terminology and lack of structure.

Level 2 (5-8 marks):
- Demonstrates good geographical knowledge and understanding of the pros and cons of the chosen option.
- Compares the chosen option with at least one other option, showing some understanding of trade-offs.
- Sound structure with appropriate use of geographical terms, though some arguments may lack depth or synoptic connection.

Level 3 (9-12 marks):
- Demonstrates excellent, detailed geographical knowledge of energy consumption, sustainability, and fragile ecosystems (e.g., taiga biodiversity, carbon storage, or fracking impacts).
- Detailed comparative evaluation of the chosen option against BOTH alternative options.
- Well-structured, balanced, and logical argument leading to a justified conclusion.
- Accurate and sophisticated use of geographical terms throughout.

A high-performance answer (4 marks) must demonstrate:
- Consistent accuracy in spelling and punctuation (e.g., correct capitalisation, commas, and full stops).
- Effective control of meaning using correct grammatical structures.
- Use of a wide range of specialist geographical terms, such as: 'renewable', 'flow resource', 'finite', 'fossil fuel', 'greenhouse gases', 'enhanced greenhouse effect', 'sustainability', 'deplete', or 'mitigate'.

Marks are awarded for spelling, punctuation, grammar, and specialist terminology (SPaG):

- High performance (4 marks): Learners spell and punctuate with consistent accuracy. Learners use rules of grammar with effective control of meaning overall. Learners use a wide range of specialist terms as appropriate.
- Intermediate performance (2-3 marks): Learners spell and punctuate with considerable accuracy. Learners use rules of grammar with general control of meaning overall. Learners use a good range of specialist terms as appropriate.
- Threshold performance (1 mark): Learners spell and punctuate with reasonable accuracy. Learners use rules of grammar with some control of meaning; any errors do not significantly hinder meaning overall. Learners use a limited range of specialist terms as appropriate.
- 0 marks: No marks awarded if the response is blank, fails to reach the threshold performance, or is completely illegible/unrelated.