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Saltation is the process where small pebbles and stones are bounced along the river bed by the force of the flowing water. Traction involves rolling larger rocks, suspension involves carrying light silt, and solution involves dissolved material.

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

A wave-cut platform is formed by marine erosion at the base of cliffs, leading to cliff collapse and retreat. Spits, bars, and sand dunes are depositional coastal landforms.

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

The epicentre is the point on the Earth's surface directly above the underground focus, where the earthquake occurs.

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

Steep slopes and impermeable clay soils prevent infiltration and increase rapid overland flow, resulting in water reaching the river quickly (short lag time) and causing high peak flow (high peak discharge).

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

Saltation occurs when small pieces of shingle or coarse sand are momentarily lifted by the water flow and then dropped back down. This creates a bouncing or hopping motion as the sediment is carried downstream along the river bed.

Award 1 mark for identifying the bouncing/hopping motion of the load (1) and a further 1 mark for linking this to sediment being lifted and dropped along the river bed by the force of the water (1).

As waves approach an irregular coastline, the water in front of headlands is shallower. This friction causes the waves to slow down, while the waves approaching the bays continue at a higher speed in the deeper water. This difference in speed causes the wave crests to bend (refract) around the headland, concentrating their destructive energy on the sides and front of the headland.

Award 1 mark for explaining that waves slow down in shallower water in front of the headland (1) and a further 1 mark for explaining that this causes the wave crests to bend or refract towards the headland, focusing their energy (1).

1. Urbanization: Constructing roads and buildings creates impermeable surfaces. Rainwater cannot infiltrate the soil, so it flows quickly as surface runoff into drains and channels, speeding up water delivery to the river, which decreases lag time and increases peak discharge. 2. Deforestation: Cutting down trees reduces interception by the canopy and root water uptake. With fewer trees, more rain hits the ground directly, saturating the soil faster. This increases overland flow and causes a rapid rise in river levels.

Award 1 mark for each valid suggestion and 1 mark for its explanation/link to the hydrograph characteristics (max 4 marks). Possible points: Urbanisation (1 mark) leading to impermeable surfaces which increase surface runoff / reduce infiltration (1 mark). Deforestation (1 mark) leading to reduced interception / reduced lag time as water reaches the channel quicker (1 mark). Channelisation/straightening of the river (1 mark) which speeds up water flow downstream (1 mark). Installation of artificial drainage systems (1 mark) which transport water rapidly to the river channel (1 mark).

1. Recurved end: Longshore drift carries sediment along the coast. When the wind direction temporarily changes (e.g., due to secondary winds or waves from a different angle), the sediment is deposited at an angle, curving the spit inland. 2. Salt marsh formation: The spit provides shelter from strong waves, creating a low-energy environment behind it. Fine silt and mud are deposited by the tides in this quiet water. Over time, salt-tolerant vegetation establishes, trapping more sediment and building up a salt marsh.

Award up to 2 marks for explaining the formation of the recurved end and up to 2 marks for explaining the formation of the salt marsh. Recurved end: Direction of longshore drift/dominant waves changes temporarily (1 mark). Sediment is deposited inland/at an angle to the main spit direction (1 mark). Refraction of waves around the end of the spit (1 mark). Salt marsh: Spit creates a sheltered, low-energy zone behind it (1 mark). Deposition of fine sediment/mud/silt occurs (1 mark). Colonisation by salt-tolerant plants/halophytes traps more sediment (1 mark).

Freeze-thaw weathering is a mechanical process. First, water enters joints or cracks in the rock face of the cliff. Second, when temperatures drop below freezing (0 degrees Celsius), the water freezes into ice, expanding in volume by approximately 9%. This expansion exerts immense internal pressure on the surrounding rock. Third, as this cycle of freezing and thawing is repeated over time, the cracks widen and deepen, eventually causing pieces of rock to break off and accumulate at the base of the cliff.

Award 1 mark for each of the following points up to a maximum of 3 marks:
- Water enters cracks/joints in the cliff face (1).
- Water freezes and expands (by ~9%) when the temperature drops, exerting pressure on the crack walls (1).
- Repeated cycles of freezing and thawing weaken the rock structure until it fractures/breaks off (1).

Traction is a method of river transport reserved for the largest bedload, such as boulders and large cobbles. Because these particles are extremely heavy, the river does not have enough energy to lift them into the flow. Instead, the force of the flowing water rolls or slides these large sediments along the river bed. This process typically occurs during periods of high discharge, when the river's velocity and erosional energy are greatest.

Award 1 mark for each logical step in the explanation, up to a maximum of 3 marks:
- Identification that traction involves the largest/heaviest bedload (e.g., boulders, large pebbles) (1).
- Explanation that the river lacks the energy to lift these sediments, so they roll or slide (1).
- Explanation that they are moved along the river bed by the force of the moving water/discharge (1).

Candidates should focus on a specific case study, such as the Holderness Coast in East Yorkshire. Hard engineering strategies used here include the concrete sea wall, rip-rap (rock armour), and wooden groynes at Hornsea and Mappleton. These strategies have been highly effective at their immediate locations: they have stabilized the cliffs, protected residential properties, and secured the vital B1242 coastal road. However, they are visually intrusive, extremely expensive to build and maintain, and have disrupted the natural system of sediment transport. Specifically, the groynes at Mappleton have starved beaches downdrift of sediment (e.g., Great Cowden), leading to accelerated erosion rates elsewhere. In contrast, soft engineering strategies, such as beach nourishment and managed retreat, are more sustainable and work with natural processes. For example, beach nourishment increases beach volume to absorb wave energy naturally, preserving the landscape's aesthetic value and supporting tourism without causing downdrift starvation. However, soft engineering is less effective during extreme storm surges, requires frequent and costly replenishment, and managed retreat can lead to the loss of agricultural land and emotional distress for local communities. In conclusion, while hard engineering offers robust, reliable, localized defense for high-value areas, it creates negative knock-on effects. Soft engineering is more environmentally sustainable and cost-effective for lower-value areas, but lacks the absolute defensive guarantee of hard structures. Consequently, the most effective management often involves an integrated approach (ICZM) combining both strategies.

Level 1 (1-3 marks): Demonstrates isolated knowledge of hard and/or soft engineering strategies. Descriptions are generic with little or no reference to a named case study. Assessment of effectiveness is superficial or absent. Level 2 (4-6 marks): Demonstrates good geographical knowledge of both hard and soft engineering strategies, with some specific details from a named case study (e.g., Holderness). Offers a balanced assessment of their relative effectiveness, noting some advantages and disadvantages of each. Structure is logical. Level 3 (7-8 marks): Demonstrates precise, detailed case study knowledge to support the argument. Offers a well-balanced, comprehensive assessment of both types of engineering. Evaluates both localized benefits and wider systemic/environmental impacts (e.g., downdrift starvation). Reaches a logical and coherent conclusion regarding their relative effectiveness.

Systematic sampling requires selecting sample points at regular, predefined intervals. For a river depth investigation, a student would first determine the length of the study reach (e.g. 100 metres). They would then decide on a fixed distance interval, such as every 10 metres, and measure the river depth at each of these systematic points along the river's course.

Award 1 mark for identifying the setup of regular or fixed distance intervals (e.g. choosing a site every 10 metres) and 1 mark for explaining how this is applied along the river channel to take the measurements. Accept alternative valid intervals such as every 5 paces or equal spacing.

Systematic sampling requires selecting sample points at regular, predefined intervals. For a river depth investigation, a student would first determine the length of the study reach (e.g. 100 metres). They would then decide on a fixed distance interval, such as every 10 metres, and measure the river depth at each of these systematic points along the river's course.

Award 1 mark for identifying the setup of regular or fixed distance intervals (e.g. choosing a site every 10 metres) and 1 mark for explaining how this is applied along the river channel to take the measurements. Accept alternative valid intervals such as every 5 paces or equal spacing.

To measure river velocity quantitatively using the float method: First, measure a fixed distance (such as 10 metres) along a straight section of the river channel using a tape measure to establish a start and finish line. Second, place a buoyant object (such as an orange peel) into the flow upstream of the start line, and start a stopwatch as it passes the start line, stopping it when the float passes the finish line. Third, repeat this process at least three times across different points of the channel width (left, middle, and right) and calculate the mean velocity using the formula \(\text{Velocity} = \text{Distance} / \text{Time}\) to improve reliability.

Award 1 mark for identifying a valid quantitative method or equipment, and up to 2 further marks for explaining the step-by-step process or how accuracy/reliability is ensured. Example response 1 (Float method): Measure a set distance (such as 10m) along the channel using a tape measure (1 mark); release a float and time how long it takes to travel the distance using a stopwatch (1 mark); repeat the test across different points of the channel width and calculate a mean velocity (1 mark). Example response 2 (Flow meter method): Place a digital flow meter into the river facing upstream at a set depth (1 mark); hold it steady for a set period of time (such as 30 seconds) and record the velocity reading from the digital display (1 mark); repeat this measurement at systematic intervals across a cross-profile transect of the river to ensure a representative sample (1 mark).

One justification is that located symbols allow for easy identification of spatial patterns and geographical trends. This is because the data is presented directly at the actual sample sites along the river channel, rather than just in a table, showing how size changes downstream. Another justification is that proportional scaling makes visual comparison of bedload size between sites quick and intuitive. Since the size of the symbol is scaled relative to the actual bedload measurements, any anomalies or sudden changes can be spotted instantly.

Award 1 mark for each valid justification, and a further 1 mark for development/explanation, up to a maximum of 4 marks (2 x 2 marks). - They show spatial patterns or geographical distribution across the catchment area (1), which allows the user to see if bedload size changes sequentially downstream as expected (1). - Proportional symbols allow for instant visual comparison of data scale or quantity between sites (1), meaning anomalies can be quickly identified without needing to look up data values in a key (1). - It combines geographic location data with quantitative data on one resource (1), making it more efficient than using a separate map and chart (1).

A floating object (like a tennis ball) only measures the velocity at the very surface of the river channel (1). However, velocity varies throughout the cross-section because friction with the channel bed and banks slows down the water deeper in the river (1). Therefore, relying solely on surface float times will systematically overestimate the mean velocity of the river, making the data unreliable for representing the channel's true flow rate (1).

Award 1 mark for an initial point identifying a limitation of the method, and up to 2 further marks for explaining how this affects reliability (1+1+1):

- The float only measures velocity at the surface / does not measure velocity throughout the water column (1).
- Surface velocity is faster because there is less friction with the riverbed/banks (1).
- This leads to an overestimation of the average/mean velocity of the river (1).

Alternative route:
- External factors like wind can push the float (1), causing it to travel faster or slower than the actual current (1), which leads to inconsistent/inaccurate velocity readings (1).
- The float can get trapped by vegetation, rocks, or debris (1), which artificially slows down its travel time (1), leading to an underestimation of velocity (1).

To structure an excellent evaluation:

1. **Introduce the enquiry focus:** Briefly state the hypothesis (e.g., 'River velocity and channel cross-sectional area increase downstream') and list the key methods evaluated (e.g., impellor flowmeter for velocity, callipers for bedload).

2. **Evaluate Method 1 (e.g., Channel Cross-Section):**
* **Strengths:** Using a taught tape measure held perpendicular to the flow at 90 degrees ensures consistent width measurements. Using a rigid metered rule every 50cm across the channel gives a highly accurate cross-sectional area.
* **Limitations:** In deep pools, the tape measure can sag, overestimating width. If the riverbed is muddy, the ruler may sink into the silt, artificially inflating depth readings.

3. **Evaluate Method 2 (e.g., River Velocity):**
* **Strengths:** Using a digital flowmeter provides instant, highly precise readings in m/s at a fixed depth (0.6 of total depth) which minimizes the impact of surface wind.
* **Limitations:** If using the traditional orange peel (float) method, friction from surface water or wind can alter speeds, and human reaction times when starting/stopping stopwatches introduce errors.

4. **Evaluate Method 3 (e.g., Bedload Size and Shape):**
* **Strengths:** A caliper measures the long axis (A-axis) precisely in millimeters, and comparing shapes to a Powers' Scale of Roundness reduces subjectivity compared to arbitrary classification.
* **Limitations:** Sampling bias can occur if students sub-consciously select larger, more colorful pebbles rather than using a random or systematic sampling technique (e.g., every 10cm).

5. **Conclusion:** Provide a clear judgment on the overall reliability of the data. For example, 'While minor human errors occurred in bedload sampling, the highly precise digital flowmeter meant the velocity data was highly valid, allowing us to confidently accept our downstream velocity hypothesis.'

Level 1 (1–3 marks): [AO3/AO4]
- Attempts to describe one or more primary data collection methods used in a river enquiry.
- Shows limited understanding of strengths or weaknesses; evaluation is superficial or absent.
- Uses basic geographical terminology with limited structure.

Level 2 (4–6 marks): [AO3/AO4]
- Explains the strengths and limitations of at least two primary data collection methods.
- Begins to evaluate how these methods affected the reliability of the data and the overall validity of the conclusions.
- Shows good geographical knowledge and uses appropriate terminology in a structured response.

Level 3 (7–8 marks): [AO3/AO4]
- Offers a balanced, detailed evaluation of the effectiveness of the chosen primary methods, explicitly linking their limitations to data accuracy.
- Reaches a clear, justified conclusion about the overall success of the data collection in supporting the enquiry's hypothesis.
- Uses precise geographical terminology throughout in a well-structured, logical argument.

The quaternary sector involves intellectual services and highly specialized knowledge-based activities, such as scientific research, ICT, and high-tech product development.

Award 1 mark for identifying the correct economic sector (D).

Suburbanisation refers to the outward spread of cities to suburbs, driven by the search for larger homes, cleaner environments, and improved transport links to commuting hubs.

Award 1 mark for identifying suburbanisation as the correct process (B).

Diversification is the strategy of introducing non-agricultural activities to a farm to increase income and provide economic security in the face of falling agricultural prices.

Award 1 mark for identifying diversification (C).

A brownfield site is a plot of land within urban areas that has been previously used for industrial or commercial purposes and is suitable for redevelopment.

Award 1 mark for identifying a brownfield site (B).

One reason for the increase in wind energy consumption shown in Figure 1 is government financial support and climate policies. To meet carbon reduction targets, governments offered subsidies to energy firms (1 mark), which lowered the high capital costs of constructing wind farms and led to a rapid increase in energy capacity (1 mark).

Award 1 mark for identifying a valid reason for the growth in wind energy (AO2) and a further 1 mark for explaining how this led to the increased consumption shown in the figure (AO3).

Valid reasons include:
- Government policies/subsidies (1) which reduce the setup costs of wind farms for developers (1).
- Advances in technology (1) which make turbines more efficient and cost-effective, generating more electricity per unit (1).
- Depletion or rising cost of fossil fuels (1) driving energy security policies to focus on domestic renewable sources (1).
- Increased public environmental awareness (1) leading to higher demand for green energy options (1).

One reason for the increase in wind energy consumption shown in Figure 1 is government financial support and climate policies. To meet carbon reduction targets, governments offered subsidies to energy firms (1 mark), which lowered the high capital costs of constructing wind farms and led to a rapid increase in energy capacity (1 mark).

Award 1 mark for identifying a valid reason for the growth in wind energy (AO2) and a further 1 mark for explaining how this led to the increased consumption shown in the figure (AO3). Valid reasons include: Government policies/subsidies (1) which reduce the setup costs of wind farms for developers (1); Advances in technology (1) which make turbines more efficient and cost-effective, generating more electricity per unit (1); Depletion or rising cost of fossil fuels (1) driving energy security policies to focus on domestic renewable sources (1); Increased public environmental awareness (1) leading to higher demand for green energy options (1).

The data in Figure 1 shows a steady increase in the share of electricity generated from renewable sources, rising from 12% in 2010 to 38% in 2022. One key reason for this trend is government policy and investment. For example, the government of Country X may have introduced financial incentives such as feed-in tariffs or subsidies for renewable energy projects. This makes developing wind, solar, or hydroelectric infrastructure more economically viable for private companies. As a result, more renewable energy capacity is built and integrated into the grid, leading to a substantial growth in the proportion of clean energy produced over the twelve-year period.

Award 1 mark for identifying a valid reason for the increasing trend shown in Figure 1 (AO1/AO3), and up to 2 further marks for explaining how this leads to the increase in renewable electricity generation (AO3). E.g., Government policy/subsidies (1) makes renewable projects cheaper or more profitable to build (1), which increases the number of active wind/solar farms connected to the grid (1). Other acceptable reasons include: falling technology costs, international climate agreements/commitments, or rural electrification programs using off-grid renewables. Reject answers that only describe the trend without explaining a reason.

The secondary sector involves manufacturing and processing. In HICs, this has declined due to two main reasons:
Firstly, globalisation and the global shift have led to deindustrialisation. Companies outsource production to Low-Income Countries (LICs) and Newly Industrialising Economies (NIEs) to take advantage of lower wages and fewer regulations. This results in the closure of manufacturing plants in HICs.
Secondly, technological advancements and mechanisation have occurred. Automation and computer-controlled systems have replaced human workers on assembly lines, allowing factories to maintain or increase output with a significantly reduced workforce.

For each of the two reasons, award 1 mark for identifying a valid reason (AO2) and a further 1 mark for explaining/developing that reason (AO2) up to a maximum of 2 marks per reason (4 marks in total).

Reason 1 (Outsourcing/Global shift):
- Identifies outsourcing / global shift / cheaper labour elsewhere (1 mark).
- Explains that manufacturing moves to countries with lower production costs, resulting in deindustrialisation and job losses in HICs (1 mark).

Reason 2 (Mechanisation/Technology):
- Identifies mechanisation / technology / automation (1 mark).
- Explains that machines/robots replace human assembly workers, lowering the demand for secondary sector labour (1 mark).

Suburbanisation is the outward spread of an urban area. It has occurred due to:
Firstly, improvements in transport infrastructure. The expansion of rail, road, and rapid transit networks, alongside high levels of personal car ownership, allows people to live further away from their workplaces in the city centre and commute daily.
Secondly, environmental and social pull factors of the suburbs. Many families seek a better quality of life, which suburbs offer through larger properties with private gardens, lower crime rates, cleaner air, and cheaper land compared to the crowded and polluted inner-city districts.

For each of the two reasons, award 1 mark for identifying a valid push/pull factor (AO2) and a further 1 mark for explaining how it drives suburbanisation (AO2) up to a maximum of 2 marks per reason (4 marks in total).

Reason 1 (Transport improvements):
- Identifies better transport / car ownership (1 mark).
- Explains that this makes commuting easy and practical from the suburbs back to inner-city jobs (1 mark).

Reason 2 (Quality of life / housing):
- Identifies larger/cheaper housing or cleaner environment (1 mark).
- Explains that families move to escape crowded, polluted, or expensive urban centres to find safer areas with gardens (1 mark).

On one hand, renewable energy sources like solar, wind, and hydroelectric power offer significant benefits. For emerging and developing countries (like India or Kenya), renewables reduce reliance on expensive fossil fuel imports, improving energy security and economic stability. In rural areas, decentralized off-grid solutions (such as solar micro-grids in East Africa) are highly effective because they bypass the massive capital cost of extending a national grid. Additionally, they help countries meet international climate targets and improve local air quality, reducing health costs. On the other hand, there are major limitations. Renewables like wind and solar are intermittent and require advanced grid-storage solutions that many developing nations cannot yet afford. Developing countries also face high upfront capital costs for installing renewable infrastructure, whereas fossil fuel stations (such as coal-fired plants in China or India) are often cheaper and quicker to build in the short term. Industries often require a reliable 'base-load' electricity supply that intermittent renewables cannot guarantee without fossil-fuel or nuclear backup. In conclusion, while renewable energy is the most sustainable and increasingly cost-effective long-term strategy, it is currently most effective when integrated into a diverse energy mix alongside transitional cleaner non-renewables (like natural gas) to ensure reliable economic development.

Level 1 (1-3 marks): Demonstrates isolated knowledge of renewable and non-renewable energy sources. Analysis is weak or lacks connection to emerging/developing countries. Evaluation is absent or simple assertion. Level 2 (4-6 marks): Demonstrates good knowledge of both the advantages and disadvantages of renewables in developing contexts. Explanations are developed with some case study/example reference (e.g., India, Kenya). Offers a partially balanced assessment, but lacks a fully supported conclusion. Level 3 (7-8 marks): Demonstrates precise, detailed knowledge of energy demands and renewable integration. Well-structured, balanced analysis of both positive and negative aspects. Reaches a clear, logical, and substantiated evaluative conclusion about the 'most effective way' (e.g., arguing for a balanced energy mix).

Systematic sampling involves selecting sample points or intervals according to a regular, pre-defined rule or distance (e.g., every 50 metres along a transect line).

Award 1 mark for identifying "systematic sampling" (also accept "systematic"). Do not accept "random sampling" or "stratified sampling".

A pie chart (or divided circle) is the most appropriate way to display proportional data where the categories represent parts of a whole adding up to 100%.

Award 1 mark for identifying "pie chart" (also accept "pie graph" or "divided circle"). Do not accept "line graph" or "scatter graph".

Stratified sampling allows the researcher to divide the population into distinct subgroups (strata), such as different age groups, genders, or residential zones (1). By sampling proportionally from each stratum based on census data, it avoids over-representing or under-representing any particular group (1). This makes the final data collected more representative of the overall population, leading to more accurate and reliable conclusions for the human geographical enquiry (1).

Award 1 mark for identifying a valid advantage of stratified sampling, and up to 2 further marks for explaining how this is achieved and its benefit to the enquiry (1+1+1):

- Stratified sampling ensures different subgroups of the population (e.g. age, gender, socio-economic groups) are represented (1).
- This prevents bias by ensuring no single group is over-represented in the questionnaire results (1).
- Consequently, the conclusions drawn about the human environment/topic are more accurate and reliable (1).

Accept other valid human geography contexts (e.g., stratified sampling of retail units or residential zones).

To calculate the height of each bar, divide the pedestrian count at each site by the scale factor (25 pedestrians per cm):

1. **Site B:**
$$\text{Height} = \frac{225}{25} = 9\text{ cm}$$

2. **Site C:**
$$\text{Height} = \frac{110}{25} = 4.4\text{ cm}$$

Award 1 mark for each correct calculation of bar height:
- Height for Site B = 9 cm (or 9.0 cm) (1 mark)
- Height for Site C = 4.4 cm (1 mark)

Maximum 2 marks.

An alternative method to present environmental quality survey (EQS) data is a radar graph (or spider diagram), which allows multiple environmental criteria to be compared simultaneously for each zone. Alternatively, students could use located bar charts on a base map of the urban area to show the spatial distribution of the scores.

Award 1 mark for any appropriate alternative presentation method for environmental quality data. Acceptable responses include: Radar graph / spider diagram, located bar charts on a map, choropleth map representing different zones, or proportional symbols placed on a base map. Reject: Bar chart (already used in the prompt).

An alternative method to present environmental quality survey (EQS) data is a radar graph (or spider diagram), which allows multiple environmental criteria to be compared simultaneously for each zone. Alternatively, students could use located bar charts on a base map of the urban area to show the spatial distribution of the scores.

Award 1 mark for any appropriate alternative presentation method for environmental quality data. Acceptable responses include: Radar graph / spider diagram, located bar charts on a map, choropleth map representing different zones, or proportional symbols placed on a base map. Reject: Bar chart (already used in the prompt).

To find the range, identify the maximum and minimum values from the dataset and calculate the difference between them. Maximum score = 18. Minimum score = 4. Range = 18 - 4 = 14.

Award 1 mark for showing correct working, e.g., 18 - 4. Award 1 mark for the correct final answer: 14.

One strength of using a radar diagram is that it allows multiple different environmental variables (such as noise levels, air pollution, and litter) to be plotted on the same graph for a single site (1 mark). This is beneficial because it allows researchers to easily compare the overall environmental 'profile' or shape of different urban locations at a glance to identify patterns or anomalies (1 mark).

Award 1 mark for identifying a valid strength of a radar diagram, and a further 1 mark for development/explanation of this strength in the context of environmental quality data.

- Allows multiple axes/criteria to be displayed together (1) so that different components of environmental quality can be analyzed simultaneously (1).
- Creates a distinct visual 'shape' for each site (1) which allows for rapid visual comparison of environmental profiles between different study sites (1).

Reject: vague answers such as 'it is easy to read' or 'it is colourful' without geographical qualification.

One strength of using a radar diagram is that it allows multiple different environmental variables (such as noise levels, air pollution, and litter) to be plotted on the same graph for a single site (1 mark). This is beneficial because it allows researchers to easily compare the overall environmental 'profile' or shape of different urban locations at a glance to identify patterns or anomalies (1 mark).

Award 1 mark for identifying a valid strength of a radar diagram, and a further 1 mark for development/explanation of this strength in the context of environmental quality data.

- Allows multiple axes/criteria to be displayed together (1) so that different components of environmental quality can be analyzed simultaneously (1).
- Creates a distinct visual 'shape' for each site (1) which allows for rapid visual comparison of environmental profiles between different study sites (1).

Reject: vague answers such as 'it is easy to read' or 'it is colourful' without geographical qualification.

The solution depends on the student's chosen topic (e.g., investigating urban decay, environmental quality, or retail change). An exemplar response for an Urban Environmental Quality (EQS) and Pedestrian Count enquiry might look like this: 'Our enquiry title was: To what extent does environmental quality improve with distance from the CBD of Town X? We used systematic sampling to select 10 sites along a transect. At each site, we completed an environmental quality survey (EQS) and a 5-minute pedestrian count. The EQS was highly effective because it allowed us to quantitatively assess qualitative factors (e.g., litter, vandalism, noise) using a standardised -3 to +3 bi-polar scale. This enabled direct statistical comparison between sites. However, the EQS was subjective; different students in our group gave different scores for the same site, which reduced the reliability of our data. To mitigate this, we could have averaged the scores of three different groups. The pedestrian count was highly reliable because it used objective tally charts and digital stopwatches, reducing measurement error. However, conducting the count for only 5 minutes at one specific time of day (11:00 AM) created a temporal bias, as it did not represent footfall during peak commuting hours. Despite these limitations, the combination of both methods provided a sufficiently robust dataset to draw a valid conclusion, though repeating the data collection across multiple days would have significantly improved reliability.'

Mark scheme breakdown (8 marks total): AO3 (4 marks) - Apply understanding to evaluate fieldwork methods; AO4 (4 marks) - Communicate geographical skills and fieldwork techniques. Level 1 (1-3 marks): Descriptive account of one or more primary data collection methods with little or no evaluation. Limited connection to reliability or data validity. Level 2 (4-6 marks): Mostly balanced evaluation of the strengths and limitations of the primary data collection methods used. Makes some connection to reliability and accuracy of data. Structure is logical. Level 3 (7-8 marks): Detailed, balanced, and critical evaluation of the effectiveness of the chosen primary methods. Explicitly links methods to data reliability and validity of conclusions. Demonstrates a clear grasp of geographical concepts and provides a well-reasoned conclusion/judgment on overall effectiveness.

Orbital eccentricity describes the variation in the shape of the Earth's orbit around the Sun, which fluctuates between being circular and elliptical over a cycle of approximately 100,000 years, affecting the intensity of solar radiation received by the Earth.

Award 1 mark for the correct option (c). No marks for incorrect options.

Foreign Direct Investment (FDI) occurs when a company or individual based in one country makes a physical investment or establishes a business interest in another country, often by setting up factories or purchasing local assets.

Award 1 mark for the correct definition (b). No marks for other options.

The Gini coefficient is used to measure income inequality. A value of 0 represents perfect equality (where everyone has the same income), while a value of 1 represents perfect inequality (where one person has all the income).

Award 1 mark for identifying the correct statement about the Gini coefficient (c). Other options are incorrect.

Transnational corporations (TNCs) often choose to locate their manufacturing factories in developing countries due to cheaper labour costs. By paying lower wages to the workforce, the TNC can significantly decrease its overall production costs and therefore increase its profit margins when selling the finished goods globally.

Award 1 mark for identifying a valid reason (AO1), and a further 1 mark for explanation/development of how this benefits the TNC (AO2). Suitable reasons include: - Lower labour costs (1) which reduces overall cost of production and increases profit margins (1). - Cheaper land or factory rental costs (1) which reduces capital investment and overheads (1). - Less strict environmental regulations (1) which saves money on compliance and waste treatment (1). - Financial incentives from host governments such as tax exemptions (1) which reduces operational costs (1). - Access to new national markets (1) which bypasses import tariffs and reduces transport costs to regional consumers (1). Note: Do not credit a simple list of reasons. The second mark must explain the identified reason.

To find the second largest share of global greenhouse gas emissions from Figure 1, we rank the sectors by percentage share from largest to smallest:

1. Energy (electricity and heat): 31%
2. Agriculture, Forestry and Land Use: 22%
3. Industry: 21%
4. Transport: 15%
5. Residential and Commercial Buildings: 6%
6. Waste and other sources: 5%

The sector with the second largest share (22%) is Agriculture, Forestry and Land Use.

Award 1 mark for any of the following:
- Agriculture, Forestry and Land Use (1)
- Agriculture (1)

To gain full marks, the description should identify a general trend or pattern in the distribution and support it with a specific geographic location or anomaly from the description of Figure 1. For example, stating that the areas are unevenly distributed or concentrated in dry continental interiors / specific latitudes (1 mark), and naming specific regions shown, such as the Sahel or Central Australia (1 mark).

Award 1 mark for identifying a valid pattern or trend (e.g., concentrated in bands / unevenly distributed / mainly in the subtropics) and 1 mark for supporting this with specific geographical reference or detail from the resource (e.g., northern Africa/Sahel, Central Australia, or western coast of the Americas).

An effective response must describe the unequal nature of the pattern (1 mark) and use the provided data to support this description, such as comparing the highest region (Europe at 50%) to the lowest regions (Africa at 6%) (1 mark).

Award 1 mark for describing the overall pattern of inequality or dominance (e.g., highly unequal / dominated by Europe). Award 1 mark for supporting with specific numerical data or regional comparisons from Figure 2.

Students should identify a spatial trend in the distribution of HDI levels across the continent (1 mark) and use specific country examples or regional details from the source to illustrate this trend (1 mark).

Award 1 mark for identifying a spatial trend (e.g., higher HDI in the south / decreasing HDI as you move northwards). Award 1 mark for using specific country examples from the resource to support the description (e.g., southern countries like Argentina are Very High, whereas Bolivia is Medium).

To achieve full marks, candidates must identify two distinct human causes of desertification and provide a linked explanation for how each causes land degradation.

Example explanation 1:
Overgrazing (1 mark) occurs when livestock eat too much of the protective vegetation cover, leaving the bare soil exposed to wind and water erosion (1 mark).

Example explanation 2:
Deforestation (1 mark) removes trees for timber or fuelwood, destroying the root systems that bind the soil together and making it easily blown away (1 mark).

Other valid human causes include overcultivation and population pressure.

For each of the two causes:
- Award 1 mark for identifying a valid human cause (AO1).
- Award 1 mark for a linked explanation of how this cause leads to desertification (AO2).

Points can include:
- Overgrazing (1 mark) + destroys vegetation cover, leaving soil bare to erosion (1 mark).
- Overcultivation (1 mark) + depletes soil nutrients, making it dry and vulnerable to wind erosion (1 mark).
- Deforestation / clearing vegetation (1 mark) + removes roots that bind the soil, leading to soil loss (1 mark).
- Rapid population growth (1 mark) + increases demand for food and fuel, forcing overcultivation or deforestation (1 mark).

Reject: Natural/physical causes such as drought or natural temperature fluctuations.

To manage desertification in fragile dryland environments, communities have adopted several local-scale strategies:

1. **Magic Stones (Stone Bunds):** Farmers lay lines of stones along the contours of the land (e.g., in Burkina Faso). This slows down surface runoff, increases water infiltration into the soil, traps fertile topsoil, and prevents erosion.
2. **Zai Pits:** Small pits are dug and filled with organic manure before planting crops. This concentrates water and nutrients directly at the plant roots, allowing crops to survive even in low-rainfall years.
3. **Afforestation / Agroforestry:** Planting drought-resistant trees (such as Acacia) alongside crops. Trees provide shade (reducing evaporation), act as windbreaks to reduce wind erosion, and bind the soil together with their roots.

**Assessment of Effectiveness:**
* **Strengths:** These strategies are highly sustainable because they rely on simple, low-cost technologies and local materials. They require minimal capital investment, meaning poor rural communities are not dependent on foreign aid. They also directly improve food security and household incomes.
* **Limitations:** They are extremely labor-intensive to construct and maintain. Furthermore, because they are implemented at a farm-by-farm or community level, their impact is highly localized and cannot easily combat large-scale macro-drivers such as regional climate change, rapid population growth, or national political instability.

**Conclusion:** Local-scale strategies are highly effective and appropriate for restoring degraded land and improving local resilience, but to halt desertification on a wider scale, they must be integrated with larger regional or national initiatives.

**Marking Scheme (6 Marks Total):**

* **Level 1 (1–2 marks):** Identifies basic local strategies (e.g., planting trees, using stones) but description is limited. Analysis of effectiveness is absent or very weak. Writing lacks clear structure.
* **Level 2 (3–4 marks):** Explains how at least one or two local strategies work (e.g., stone lines slowing runoff, zai pits retaining moisture). Some attempt to assess effectiveness (showing strengths or weaknesses), with a simple chain of reasoning.
* **Level 3 (5–6 marks):** Detailed explanation of multiple local strategies. Provides a balanced assessment of their effectiveness (contrasting their low cost and high community buy-in against their labor-intensive nature and localized scale). Offers a logical, structured argument leading to a clear, supported evaluative conclusion.

International agreements, such as the Paris Agreement (2015) and the Kyoto Protocol (1997), are widely seen as critical tools for combating climate change because global warming is a transboundary issue that requires global cooperation. These agreements establish targets, foster technology transfer from developed to developing nations, and create funding mechanisms like the Green Climate Fund to help vulnerable countries adapt. For example, the Paris Agreement successfully united nearly 200 nations under a common goal to limit global warming to well below 2 degrees Celsius. However, international agreements have significant limitations. They often lack strict enforcement mechanisms, meaning countries can miss their targets without penalization, or even withdraw from agreements altogether as political leadership changes. Furthermore, negotiated targets are often compromised to achieve consensus, resulting in weak commitments that may not prevent severe climate impacts. In contrast, national and local strategies can be highly effective because they are tailored to specific geographical risks and can be implemented rapidly without international consensus. Local strategies, such as the construction of flood defenses in London or community-led afforestation in the Sahel region (the Great Green Wall), directly address immediate vulnerabilities. Similarly, national carbon taxation or renewable energy subsidies can drive rapid shifts toward low-carbon economies. Nevertheless, local and national strategies alone cannot solve global climate change because localized efforts can be undermined if major global emitters continue to pollute. In conclusion, while international agreements are not the single most effective method due to enforcement and political challenges, they are an indispensable foundation. They provide the global targets and financial frameworks that enable national and local actions to succeed. Therefore, the most effective management of climate change impacts lies in an integrated approach that combines top-down international targets with bottom-up local and national action.

Marking criteria: AO2 (4 marks) - Apply understanding of climate change management processes and strategies. AO3 (4 marks) - Analyse and evaluate the effectiveness of these strategies to reach a reasoned conclusion. AO4 (4 marks) - Use relevant geographical knowledge and case study examples. Level 1 (1-4 marks): Demonstrates isolated knowledge of climate change impacts or strategies. Description is basic and lacks balance. No clear conclusion. Level 2 (5-8 marks): Explains both international agreements and local/national strategies. Shows some analytical structure and balance, but the evaluation is not fully developed. Level 3 (9-12 marks): Offers a detailed, balanced, and critical evaluation of both international and local/national approaches. Supports points with accurate geographical examples. Reaches a clear, justified conclusion on which strategies are most effective and why.