AQA AS-Level · PastPaper.sampleTitle

MetadataPastPaper.sampleTitle

Thinka Jun 2023 AQA AS Level-Style Mock — Geography 7036

160 PastPaper.marks180 PastPaper.minutes2023
An original Thinka practice paper modelled on the structure and difficulty of the Jun 2023 AQA AS Level Geography 7036 paper. Not affiliated with or reproduced from AQA.

Paper 1 Section A: Physical Geography Options

Answer either Question 1 (Water and carbon cycles), Question 2 (Coastal systems and landscapes), or Question 3 (Glacial systems and landscapes).
6 PastPaper.question · 40 PastPaper.marks
PastPaper.question 1 · MCQ
1 PastPaper.marks
Which of the following statements best describes the relationship between antecedent rainfall and the shape of a storm hydrograph?
  1. A.High antecedent rainfall reduces soil moisture storage, leading to a longer lag time and a lower peak discharge.
  2. B.High antecedent rainfall saturates the soil, reducing infiltration capacity and leading to a shorter lag time and higher peak discharge.
  3. C.Low antecedent rainfall increases surface runoff, resulting in a steeper rising limb and a shorter lag time.
  4. D.Low antecedent rainfall saturates the soil, increasing percolation rates and leading to a higher peak discharge.
PastPaper.showAnswers

PastPaper.workedSolution

Antecedent rainfall is precipitation that has fallen prior to the start of a storm event. If a drainage basin has experienced high antecedent rainfall, the soil moisture storage will be saturated and water tables will be high. This significantly reduces the soil's infiltration capacity. Consequently, any new rain from the storm cannot infiltrate and instead travels rapidly to the river channel as surface runoff (overland flow). This rapid movement of water results in a very short lag time and a much higher, steeper peak discharge on the storm hydrograph.

PastPaper.markingScheme

Award 1 mark for identifying the correct statement (B). All other options incorrectly describe either the physical process of runoff generation or the resulting hydrograph characteristics.
PastPaper.question 2 · MCQ
1 PastPaper.marks
In a coastal system, which of the following scenarios represents a negative feedback loop?
  1. A.Storm waves erode a sand dune system, depositing sand offshore to form an offshore bar which dissipates wave energy and reduces further dune erosion.
  2. B.The construction of a seawall halts cliff erosion, depriving downdrift beaches of sediment and accelerating erosion further along the coast.
  3. C.Rising sea levels submerge coastal salt marshes, allowing larger waves to reach the shoreline and accelerate the rate of marsh erosion.
  4. D.Human trampling destroys vegetation on a sand dune, making the loose sand more vulnerable to wind erosion, which prevents new plants from establishing.
PastPaper.showAnswers

PastPaper.workedSolution

Negative feedback occurs when an initial change to a system triggers events that counteract or damp down that change, restoring the system toward a state of equilibrium. In option A, the initial change (storm waves eroding dunes) leads to offshore deposition of sand to form a bar. This bar then causes incoming waves to break earlier and lose energy before reaching the shore, thereby reducing further erosion and stabilizing the system. Options B, C, and D describe processes where the initial change is amplified or leads to further degradation, which are examples of positive feedback or knock-on system disruptions.

PastPaper.markingScheme

Award 1 mark for identifying the correct self-regulating negative feedback mechanism (A).
PastPaper.question 3 · Short Answer
3 PastPaper.marks
Outline the role of decomposition in the transfer of carbon.
PastPaper.showAnswers

PastPaper.workedSolution

Decomposition is the process where decomposers, such as bacteria, fungi, and earthworms, break down dead plant and animal matter (1 mark). As these microorganisms consume the organic material, they perform respiration, which releases carbon dioxide (\(CO_2\)) or methane (\(CH_4\)) back into the atmosphere (1 mark). Additionally, decomposition breaks down complex organic compounds into simpler forms, transferring carbon into the soil as humus and organic matter, where it can be stored long-term (1 mark).

PastPaper.markingScheme

Award 1 mark for each point outlined, up to a maximum of 3 marks:

* Award 1 mark for defining decomposition as the physical and chemical breakdown of dead organic material by detritivores or decomposers (bacteria/fungi).
* Award 1 mark for linking decomposition to the release of carbon gases (\(CO_2\) or \(CH_4\)) into the atmospheric store via microbial respiration.
* Award 1 mark for explaining how decomposition transfers carbon into the terrestrial/soil store, forming humus or organic carbon compounds.
PastPaper.question 4 · Data Analysis
6 PastPaper.marks
Figure 1 shows the mean soil organic carbon (SOC) content in kilograms per square metre (\(\text{kg/m}^2\)) at different soil depths across four ecosystem types in a temperate region.

**Figure 1: Mean soil organic carbon (SOC) content (\(\text{kg/m}^2\))**

| Ecosystem Type | 0-10 cm depth | 10-30 cm depth | 30-100 cm depth | Total SOC (0-100 cm) |
| :--- | :---: | :---: | :---: | :---: |
| Native Deciduous Woodland | 5.8 | 8.2 | 11.0 | 25.0 |
| Conifer Plantation | 4.2 | 6.5 | 9.3 | 20.0 |
| Intensively Grazed Pasture | 3.6 | 5.2 | 6.2 | 15.0 |
| Arable Cropland | 1.8 | 2.5 | 3.7 | 8.0 |

Analyse the data shown in Figure 1.
PastPaper.showAnswers

PastPaper.workedSolution

An effective response should identify key patterns and relationships in the data:
- **Total SOC Comparison:** Native Deciduous Woodland has the highest total SOC pool (25.0 \(\text{kg/m}^2\)), followed by Conifer Plantation (20.0 \(\text{kg/m}^2\)), Grazed Pasture (15.0 \(\text{kg/m}^2\)), and Arable Cropland has the lowest (8.0 \(\text{kg/m}^2\)).
- **Depth Distribution Patterns:** In all four ecosystems, the absolute amount of SOC increases as depth increases (e.g., Arable Cropland increases from 1.8 to 2.5 to 3.7 \(\text{kg/m}^2\)). However, because the 30-100 cm layer is much thicker (70 cm) than the 0-10 cm layer (10 cm), the actual density/concentration per centimetre of soil depth is significantly higher at the surface (0.58 \(\text{kg/m}^2/\text{cm}\) in woodland surface vs 0.16 \(\text{kg/m}^2/\text{cm}\) in deeper woodland soil).
- **Ecosystem Contrasts:** There is a stark division between forested systems and agricultural systems. Woodland and plantation combined store 45.0 \(\text{kg/m}^2\) of SOC, whereas pasture and cropland combined store only 23.0 \(\text{kg/m}^2\).
- **Proportional Differences:** Arable Cropland shows severe depletion, with its total SOC being only 32% of that found in the Native Deciduous Woodland. At the surface level (0-10 cm), the woodland has more than three times the carbon of arable soil (5.8 vs 1.8 \(\text{kg/m}^2\)).

PastPaper.markingScheme

**Level 2 (4-6 marks):**
- Demonstrates clear, logical, and coherent analysis of the data.
- Identifies key patterns and contrasts (e.g., forest vs agriculture, total storage differences, surface density vs absolute storage at depth).
- Backs up assertions with specific, accurate data extracted and/or manipulated from Figure 1 (such as calculations of percentage differences or concentrations per cm depth).

**Level 1 (1-3 marks):**
- Show limited or basic analysis, largely describing individual values from the table rather than identifying patterns.
- Focuses on simple observations (e.g., stating which is highest and lowest) without exploring deeper structural relationships in the data.
- May omit specific figures or make errors in data interpretation.
PastPaper.question 5 · essay
9 PastPaper.marks
Assess the role of vegetation in regulating the transfer of water within a drainage basin.
PastPaper.showAnswers

PastPaper.workedSolution

### Model Answer Structure:

**Introduction:**
- Define the drainage basin as an open system with inputs, transfers, stores, and outputs.
- State that vegetation plays a critical, dynamic role in regulating the rate and volume of water transfers (e.g., converting rapid surface pathways into slower subsurface pathways).

**Main Body Paragraphs:**
1. **Interception and Surface Regulation:**
- Vegetation canopies intercept precipitation, storing water temporarily on leaves and branches. This water may evaporate directly back into the atmosphere (interception loss).
- Interception significantly delays the time it takes for water to reach the ground (via throughfall and stemflow), reducing the volume of immediate inputs to the soil and decreasing the likelihood of rapid surface runoff (overland flow).

2. **Infiltration and Subsurface Flows:**
- Root systems physically break up the soil, creating macropores that enhance soil structure and permeability. This promotes higher infiltration rates and percolation, converting potential surface runoff into slower subsurface flows such as throughflow and groundwater flow.
- By encouraging infiltration, vegetation increases the drainage basin's lag time and reduces the peak discharge of the river system.

3. **Transpiration and Soil Moisture Storage:**
- Vegetation actively extracts water from the soil store through root uptake to support transpiration, returning moisture to the atmosphere.
- This process empties soil moisture stores, restoring the soil's capacity to absorb future rainfall events and reducing the risk of saturation overland flow.

4. **Evaluation / Assessment of Relative Importance:**
- The regulatory role of vegetation is not static; it varies by vegetation type (e.g., coniferous forests with needle-like leaves intercept more water year-round than deciduous forests which lose leaves in winter).
- Under conditions of extreme, prolonged rainfall or high-intensity storms, the interception capacity of the canopy is quickly saturated, and the regulatory effect of vegetation diminishes.
- Other physical factors, such as steep slopes or impermeable bedrock, can override the regulatory influence of vegetation, leading to rapid runoff regardless of plant cover.

**Conclusion:**
- Conclude that while vegetation is a primary regulator of drainage basin transfers (significantly slowing transfers and stabilizing stores), its effectiveness is ultimately bounded by climatic factors (precipitation duration/intensity) and physical basin characteristics (geology and relief).

PastPaper.markingScheme

### Marking Scheme (9 Marks total - AO1: 4 marks, AO2: 5 marks)

#### **Level 3 (7-9 marks)**
- **AO1:** Demonstrates precise and detailed geographical knowledge of drainage basin hydrological processes and the role of vegetation (e.g., interception, stemflow, root uptake, infiltration).
- **AO2:** Offers a detailed and logically structured assessment of how vegetation regulates transfers. Evaluates its role relative to other variables (e.g., storm intensity, season, vegetation type). Synthesizes a clear, well-supported conclusion.

#### **Level 2 (4-6 marks)**
- **AO1:** Shows sound geographical knowledge of how trees/plants affect water (e.g., mentions interception and roots absorbing water) but may lack precise terminology or depth in outlining specific transfers.
- **AO2:** Applies knowledge to analyze some of the ways vegetation regulates water flows. Evaluation is present but may be superficial, unbalanced, or lack structured reasoning.

#### **Level 1 (1-3 marks)**
- **AO1:** Displays isolated or basic knowledge of vegetation and water (e.g., 'trees soak up rain'). Terminology is limited.
- **AO2:** Descriptive rather than analytical. Little to no attempt to assess the regulatory role or compare it with other factors. Concluding remarks are absent or generic.
PastPaper.question 6 · Long Essay
20 PastPaper.marks
Assess the extent to which feedback mechanisms within the carbon cycle are likely to amplify the effects of human-induced climate change.
PastPaper.showAnswers

PastPaper.workedSolution

### Indicative Content: - Introduction: Define positive feedback (where an initial change causes further change in the same direction, amplifying the original process) and negative feedback (where an initial change triggers a response that counteracts or dampens the original change, restoring equilibrium). Set the context of human-induced climate change (e.g., combustion of fossil fuels, deforestation increasing atmospheric \(CO_2\)). Outline the thesis: While negative feedbacks exist (such as increased photosynthesis), positive feedbacks (such as permafrost melting and marine outgassing) represent significant, self-reinforcing risks that are highly likely to overall amplify global warming. - Positive Feedbacks (Amplifying Climate Change): Wildfires and Forest Dieback: Rising global temperatures and shifting precipitation patterns lead to prolonged droughts, increasing the frequency and intensity of wildfires (e.g., Amazon, boreal forests). This burns stored biomass, releasing massive quantities of \(CO_2\) into the atmosphere, which further warms the climate. Permafrost Thawing: High-latitude warming melts permafrost, exposing long-frozen organic matter to microbial decomposition. Under aerobic conditions, this releases \(CO_2\); under anaerobic conditions, it releases methane (\(CH_4\)), a highly potent greenhouse gas, leading to a strong warming amplification. Warm Water Carbonate/Gas Release: As oceans warm, their solubility for gases decreases. Warmer oceans absorb less atmospheric \(CO_2\), and may even release dissolved carbon back into the atmosphere. This reduces the ocean's capacity as a carbon sink. Ice-Albedo Feedback (linked to Carbon/Water): Though primarily a physical feedback, melting sea ice exposes darker ocean waters, increasing solar absorption, raising temperatures, and indirectly speeding up carbon release mechanisms like permafrost decay. - Negative Feedbacks (Counteracting Climate Change): Carbon Fertilisation: Higher atmospheric concentration of \(CO_2\) can stimulate plant growth and accelerate photosynthesis (carbon fertilisation), especially in areas where water and nutrients are not limiting. This increases terrestrial sequestration, storing more carbon in biomass and soil, which acts to dampen warming. Expansion of Boreal Forests: Warming temperatures allow forests to expand poleward into current tundra regions. This migration increases the total carbon sequestered in biomass over time. Increased Weathering: Higher temperatures and increased precipitation (due to an intensified hydrological cycle) can accelerate chemical weathering (carbonation) of silicate rocks. This draws down atmospheric \(CO_2\) and transports it to the oceans as bicarbonate ions, storing it over geological timescales. - Evaluation & Synthesis (AO2): Candidates should analyze the scale and timescale of these feedbacks. For example, carbon fertilisation has limits (e.g., nutrient limitation, drought stress), meaning negative feedbacks may plateau or turn positive as climate change worsens. Contrastingly, critical thresholds or 'tipping points' (e.g., irreversible Amazon dieback or massive permafrost collapse) suggest that positive feedbacks pose a far greater threat of runaway warming. Conclusion: A well-reasoned summary stating that positive feedbacks are highly likely to dominate and amplify the effects of human-induced climate change, as the capacity of negative feedbacks to buffer these changes is limited and increasingly overwhelmed by the rate of human emissions.

PastPaper.markingScheme

Mark Scheme: 20-mark Essay. Assessment Objectives: AO1 (10 marks): Knowledge and understanding of the carbon cycle, its stores, transfers, and the feedback loops (positive and negative) operating within it. AO2 (10 marks): Application of knowledge and understanding to analyze, evaluate, and make a reasoned, evidence-based judgement on the extent to which feedback mechanisms will amplify climate change. --- Level Descriptors: Level 4 (16-20 marks): AO1: Demonstrates comprehensive, highly accurate, and detailed knowledge of carbon cycle processes, stores, and feedback mechanisms. Excellent use of geographical terminology. AO2: Offers a sophisticated, balanced, and critically reflective evaluation. Arguments are coherent, fully developed, and lead to a logical, well-supported conclusion that directly answers the question prompt. Level 3 (11-15 marks): AO1: Demonstrates good knowledge and understanding of carbon cycle stores, flows, and feedbacks, though some aspects may lack depth or precision. AO2: Applies knowledge to provide a clear analysis and evaluation. There is a clear attempt to assess both positive and negative feedbacks, with a structured argument and a mostly supported conclusion. Level 2 (6-10 marks): AO1: Demonstrates generalized or partial knowledge of the carbon cycle and feedback mechanisms. Key terms may be missing or used inaccurately. AO2: Provides a limited or unbalanced assessment. The essay may focus heavily on one side (e.g., only positive feedbacks) or offer assertions without adequate geographical reasoning or evidence. The conclusion is weak or absent. Level 1 (1-5 marks): AO1: Fragmented, basic, or highly inaccurate knowledge of the carbon cycle. Minimal understanding of feedbacks. AO2: Isolated or unstructured points. No real attempt at evaluation or answering the question. No clear conclusion. 0 marks: No response, or nothing worthy of credit.

Paper 1 Section B: People and the Environment Options

Answer either Question 4 (Hazards) or Question 5 (Contemporary urban environments).
6 PastPaper.question · 40 PastPaper.marks
PastPaper.question 1 · MCQ
1 PastPaper.marks
Which of the following combinations of fuel characteristics and topography is most conducive to the rapid ignition and fast upslope propagation of a wildfire?
  1. A.Low fuel surface-area-to-volume ratio and gentle downslope terrain
  2. B.High fuel surface-area-to-volume ratio and steep upslope terrain
  3. C.High fuel moisture content and flat valley basins
  4. D.Deeply compacted organic soil fuels and heavily shaded north-facing depressions
PastPaper.showAnswers

PastPaper.workedSolution

High fuel surface-area-to-volume ratio (found in fine fuels like dry grasses and twigs) allows the fuel to dry out rapidly and ignite easily. When combined with steep upslope terrain, the convective heat and radiation rising from the fire preheats the vegetation higher up the slope, greatly accelerating the rate of wildfire propagation.

PastPaper.markingScheme

Award 1 mark for the correct option (b). Option b is correct because fine fuels with high surface-area-to-volume ratios ignite easily, and steep slopes allow convective heat to rise and preheat fuel ahead of the fire front. All other options (a, c, d) include factors that retard or slow down fire ignition and propagation.
PastPaper.question 2 · MCQ
1 PastPaper.marks
Which of the following regional weather conditions is most likely to intensify the nocturnal Urban Heat Island (UHI) effect in a large metropolitan area?
  1. A.Strong synoptic winds and thick altostratus cloud cover
  2. B.High atmospheric pressure, clear skies, and calm wind conditions
  3. C.Low atmospheric pressure, high wind speeds, and heavy frontal precipitation
  4. D.Rapid cold front passage accompanied by high wind shear and high relative humidity
PastPaper.showAnswers

PastPaper.workedSolution

The Urban Heat Island (UHI) effect is strongest under calm, clear, anticyclonic (high-pressure) conditions. Clear skies allow rapid radiative cooling in rural areas while urban areas retain heat, and calm conditions prevent wind from mixing the warm urban air with the cooler surrounding rural air.

PastPaper.markingScheme

Award 1 mark for the correct option (b). Under high pressure, clear skies, and calm winds, the urban-rural temperature differential is maximised. Options a, c, and d describe conditions with strong winds or clouds, which promote mixing of air and reduce the temperature gradient.
PastPaper.question 3 · Short Answer
3 PastPaper.marks
Outline how weather conditions can influence the spread of wildfires.
PastPaper.showAnswers

PastPaper.workedSolution

Weather conditions play a critical role in determining the rate and path of wildfire spread: 1. Wind: Strong winds provide a constant supply of oxygen, pushing the flames forward onto fresh vegetation and increasing the rate of spread. Wind can also carry burning embers ahead of the main fire front (spotting), starting new fires. 2. Temperature: High temperatures pre-heat vegetation and organic matter, lowering the amount of energy required to bring the fuel to its ignition point, which speeds up fire propagation. 3. Relative humidity and precipitation: Low humidity and lack of rainfall dry out fuels such as leaf litter, twigs, and branches, lowering their moisture content and making them highly flammable.

PastPaper.markingScheme

Award 1 mark for each clearly explained point up to 3 marks. Points must connect a specific weather condition to its effect on wildfire spread. - Award 1 mark for explaining the role of wind (e.g., supplies oxygen, drives the fire's direction, or causes spotting). - Award 1 mark for explaining the role of temperature (e.g., pre-heats fuel and lowers ignition threshold). - Award 1 mark for explaining the role of humidity or lack of precipitation (e.g., dries out organic matter, making it highly flammable). Max 2 marks if factors are listed without explaining how they influence fire spread.
PastPaper.question 4 · Data Analysis
6 PastPaper.marks
Figure 1 shows the average annual temperature anomaly (°C) and the total area burned by wildfires (thousand hectares) in a Mediterranean region between 2012 and 2021.

### Figure 1

| Year | Temperature Anomaly (°C) | Total Area Burned (thousand hectares) |
|---|---|---|
| 2012 | +0.8 | 120 |
| 2013 | +0.2 | 45 |
| 2014 | -0.1 | 25 |
| 2015 | +0.9 | 140 |
| 2016 | +0.4 | 60 |
| 2017 | +1.5 | 310 |
| 2018 | +0.1 | 30 |
| 2019 | +1.1 | 195 |
| 2020 | +1.2 | 220 |
| 2021 | +1.6 | 340 |

Using Figure 1, analyze the relationship between average annual temperature anomalies and the total area burned by wildfires.
PastPaper.showAnswers

PastPaper.workedSolution

The analysis should focus on identifying patterns, relationships, and anomalies/details from the table:

- **Overall Relationship**: There is a clear positive correlation between temperature anomalies and area burned. As positive temperature anomalies increase, the total area burned by wildfires also increases.
- **Extreme Values / Key Trends**:
- The maximum temperature anomaly of +1.6°C in 2021 corresponds to the peak area burned (340 thousand hectares).
- The minimum temperature anomaly of -0.1°C in 2014 corresponds to the lowest area burned (25 thousand hectares).
- **Non-linear Escalation / Thresholds**:
- When the temperature anomaly is below +0.5°C (2013, 2014, 2016, 2018), the area burned remains relatively low, below 65 thousand hectares in all cases.
- Once the anomaly exceeds +1.0°C (2017, 2019, 2020, 2021), the area burned jumps dramatically, always exceeding 190 thousand hectares. This suggests a potential threshold effect where warmer anomalies dramatically increase fuel dryness and fire risk.
- **Specific Year-on-Year Consistency**:
- The incremental increase from 2019 (+1.1°C anomaly, 195 thousand ha) to 2020 (+1.2°C anomaly, 220 thousand ha) and 2021 (+1.6°C anomaly, 340 thousand ha) demonstrates a consistent positive trajectory.

PastPaper.markingScheme

This question is assessed using a 2-level mark scheme:

**Level 2 (4–6 marks)**:
- Clear, logical analysis of the data showing an understanding of the overall positive relationship.
- Identifies specific patterns (e.g., threshold effects above +1.0°C vs below +0.5°C).
- Integrates precise data from the table to support the analytical points.

**Level 1 (1–3 marks)**:
- Mainly descriptive points identifying individual high or low years without synthesising a broader relationship.
- Limited use of data or basic reading of the figures without deep analysis of the trends.
- May lack structure or focus on the relationship requested.

**Suggested points for markers**:
- Award 1-2 marks for basic descriptions of single years (e.g., 2021 was highest, 2014 was lowest).
- Award 3-4 marks for identifying the overall positive trend and using appropriate comparative data.
- Award 5-6 marks for highlighting the non-linear relationship (e.g., disproportionate increase when anomaly > 1.0°C) and exhibiting fully structured data analysis.
PastPaper.question 5 · Medium Essay
9 PastPaper.marks
Assess the extent to which physical factors are more significant than human factors in determining the spread and severity of wildfires.
PastPaper.showAnswers

PastPaper.workedSolution

An effective response should discuss and weigh both physical and human factors:

1. **Physical Factors:**
- **Weather and Climate:** High temperatures, low relative humidity, and strong winds (e.g., Santa Ana winds in California) dry out vegetation and supply oxygen, drastically accelerating fire spread.
- **Fuel Characteristics:** The type, moisture level, and density of vegetation. For instance, dry eucalyptus forests burn far more intensely than damp deciduous forests.
- **Topography:** Fires travel much faster uphill because the heat radiating from the fire preheats the upslope vegetation.

2. **Human Factors:**
- **Management Policies:** Decades of total fire suppression (such as in the US) have prevented natural, low-intensity burns, leading to an unnatural accumulation of dry undergrowth (fuel load), which results in far more severe fires when ignition occurs.
- **Land-use and Urbanisation:** The expansion of settlements into the wildland-urban interface (WUI) increases both the chance of accidental human ignition and the catastrophic severity of fires in terms of property damage and loss of life.
- **Climate Change:** Anthropogenic greenhouse gas emissions have increased the frequency and duration of droughts and heatwaves, lengthening fire seasons worldwide.

**Conclusion / Assessment:**
While physical factors act as the fundamental drivers of wildfire behavior (wind, slope, and fuel control how a fire moves in the moment), human factors are increasingly responsible for creating the conditions of extreme vulnerability and fuel accumulation that allow routine fires to transform into catastrophic mega-fires.

PastPaper.markingScheme

**Marking Scheme (9 Marks Total: AO1 = 4, AO2 = 5)**

- **Level 3 (7-9 marks):**
- Demonstrates detailed, accurate, and coherent geographical knowledge of both physical (weather, fuel, topography) and human (suppression policies, WUI expansion, climate change) factors affecting wildfires (AO1).
- Offers a well-structured, balanced, and critical assessment of their relative significance, supported by precise geographical terminology and appropriate real-world examples (AO2).
- Reaches a clear, justified conclusion based on the preceding arguments.

- **Level 2 (4-6 marks):**
- Demonstrates clear geographical knowledge and understanding of physical and/or human factors, though there may be minor imbalances or omissions (AO1).
- Applies knowledge to analyze how these factors influence wildfire spread and severity, but the assessment of 'relative significance' may be underdeveloped or lack explicit evaluation (AO2).
- Structure is logical, but may rely on general examples.

- **Level 1 (1-3 marks):**
- Shows limited or fragmented knowledge of wildfire causes and behaviors (AO1).
- Lacks analytical depth; answers may be purely descriptive or fail to distinguish clearly between 'spread' and 'severity' (AO2).
- No clear conclusion or evaluation of the 'extent to which' physical vs human factors dominate.
PastPaper.question 6 · Long Essay
20 PastPaper.marks
Assess the extent to which physical factors are more important than human factors in determining the impact of wildfires. (20 marks)
PastPaper.showAnswers

PastPaper.workedSolution

Introduction: Wildfires are uncontrolled fires in areas of combustible vegetation. While physical factors (weather, climate, fuel, and topography) dictate the physical behaviour and intensity of the fire itself, the severity of the human and economic impacts is heavily determined by human preparedness, mitigation strategies, and response capabilities. This essay will argue that while physical conditions create the initial hazard, human factors are ultimately more significant in determining the scale of the human and economic impacts.

Physical Factors: Physical factors provide the essential conditions for wildfire initiation, propagation, and intensity. 1. Weather and Climate: Extreme weather is the primary driver of fire behaviour. High temperatures, low relative humidity, and prolonged droughts dry out organic fuel loads, making them highly combustible. Strong winds supply oxygen, fan the flames, and carry embers ahead of the main fire front, starting new spot fires and rapidly increasing the fire's rate of spread. 2. Fuel Load: The type, density, and moisture level of vegetation are critical. Highly flammable species, such as eucalyptus or resinous pines, burn with immense intensity, while accumulated dead organic matter provides abundant fuel. 3. Topography: Topography accelerates fire spread; fires travel significantly faster uphill because rising heat pre-heats the upslope vegetation, making steep, rugged terrain incredibly difficult for fire management teams to access and control.

Human Factors: Human factors influence both the ignition and, more crucially, the vulnerability and resilience of communities in the path of the fire. 1. Preparedness and Planning: Strict building codes requiring fire-resistant materials, the establishment of 'defensible space' clearing vegetation around homes, and robust early warning systems significantly reduce vulnerability. 2. Emergency Response: The speed and coordination of evacuations and active firefighting operations (e.g., using aerial water bombers and ground crews) save lives and protect key infrastructure. 3. Land-use Planning and Demographics: The growth of the Wildland-Urban Interface (WUI)—where residential developments expand into fire-prone natural environments—has exponentially increased human exposure to wildfire hazards, turning natural ecological processes into human disasters.

Evaluation and Case Study Integration: To evaluate their relative importance, we can contrast different wildfire events: 1. Fort McMurray (Canada, 2016): Extremely high temperatures, low humidity, and a dry winter created severe physical conditions. The fire destroyed over 2,400 homes and caused billions of dollars in economic damage. However, despite the extreme physical intensity, the rapid and coordinated evacuation of 88,000 residents resulted in zero direct fatalities. This demonstrates how high-quality human response can almost completely mitigate the worst human impacts (loss of life) even during an uncontrollable physical event. 2. Black Saturday (Australia, 2009): Exceptional physical conditions occurred, with temperatures reaching 46 degrees Celsius and winds exceeding 100 km/h. However, the high death toll of 173 was heavily influenced by human factors, including the failure of the 'stay or go' policy, delayed warnings, and limited evacuation planning. This illustrates that when human preparedness fails, the lethal potential of physical conditions is fully realized.

Conclusion: In conclusion, physical factors are the fundamental drivers of a wildfire's intensity, size, and physical spread. However, physical factors alone do not determine the 'impact' on human populations. Human vulnerability, land-use planning, and emergency preparedness are the primary determinants of whether a severe wildfire becomes a humanitarian and economic disaster. Therefore, human factors are ultimately more important than physical factors in determining the severity of wildfire impacts.

PastPaper.markingScheme

Marking Scheme (20 Marks Total)

Assessment Objectives:
- AO1 (10 marks): Knowledge and understanding of the physical and human factors influencing wildfires and their impacts.
- AO2 (10 marks): Application of knowledge and understanding to analyse and evaluate the relative importance of physical versus human factors in determining wildfire impacts.

Level Descriptors:

Level 4 (16–20 marks):
- Demonstrates detailed, accurate, and comprehensive knowledge of physical factors (weather, climate, fuel, topography) and human factors (preparedness, response, land-use planning) affecting wildfires (AO1).
- Applies this knowledge to offer a sophisticated, balanced, and highly structured evaluation of the relative importance of these factors (AO2).
- Integrates well-chosen case study examples (e.g., Fort McMurray, Black Saturday, California) effectively to support arguments.
- Draws a clear, logical, and well-reasoned conclusion.

Level 3 (11–15 marks):
- Demonstrates good, generally accurate knowledge of physical and human factors (AO1).
- Shows clear analysis and evaluation of the factors, though it may be slightly unbalanced (e.g., stronger focus on physical than human, or vice versa) (AO2).
- Uses relevant case study details, though some aspects may lack depth or specific data.
- Provides a clear conclusion that is linked to the evidence presented.

Level 2 (6–10 marks):
- Shows some general knowledge of physical and human wildfire factors, but with limited depth or accuracy (AO1).
- Analysis and evaluation are present but superficial, tending to describe factors rather than critically assess their relative importance (AO2).
- Case study reference is generic, limited, or contains factual errors.
- The conclusion is brief, assertive, or missing.

Level 1 (1–5 marks):
- Demonstrates very basic or fragmented knowledge of wildfires (AO1).
- Very little or no attempt to analyse or evaluate (AO2).
- No meaningful case study examples are used.
- No logical conclusion is reached.

Key Points to Look For in High-Quality Answers:
- Physical Factors: Role of wind, dry conditions, temperature, fuel load/type, and slope/terrain in spreading and intensifying wildfires.
- Human Factors: Ignitions (arson, downed power lines vs lightning), zoning laws/WUI, emergency evacuation management, public awareness campaigns, and firefighting capabilities.
- Synthesis/Case Studies: Effective use of examples to illustrate how successful human intervention can reduce impacts, or how human failure can worsen them.

Paper 2 Section A: Changing Places

Answer all questions in this section.
5 PastPaper.question · 41 PastPaper.marks
PastPaper.question 1 · Short Answer
3 PastPaper.marks
Outline how exogenous factors can shape the character of a place.
PastPaper.showAnswers

PastPaper.workedSolution

Exogenous factors refer to the external relationships or flows that connect a place to other places, such as the movement of people, capital, resources, and ideas. These shape place character in several ways:

1. **Flows of people:** International migration can introduce new cultural practices, languages, and cuisines, which changes the cultural and social demographic character of a neighborhood (for example, the development of a 'Chinatown' or 'Little Italy').
2. **Flows of investment and capital:** Inward investment from a multinational corporation (such as a new manufacturing plant or tech office) can create employment, alter local income levels, and transform the physical built environment from industrial to commercial.
3. **Flows of ideas and resources:** The import of global ideas around sustainability or urban design can lead to local regeneration projects, changing the aesthetic and functional character of a place.

PastPaper.markingScheme

Award 1 mark for each relevant point, with additional marks for development/elaboration.

* **1 mark** for identifying/defining exogenous factors as external connections, relationships, or flows (e.g., people, money, resources, ideas).
* **1 mark** for explaining a specific process or mechanism by which these flows occur (e.g., international migration, multinational corporate investment, global tourism).
* **1 mark** for explicitly linking this flow to a change in the physical, economic, demographic, or cultural character of the place (e.g., changing the local high street, shifting employment sectors, or introducing new cultural practices).

*Note: Maximum 2 marks if there is no clear connection made to how the 'character' of the place is shaped.*
PastPaper.question 2 · Short Answer
3 PastPaper.marks
Outline how exogenous factors can shape the character of a place.
PastPaper.showAnswers

PastPaper.workedSolution

Exogenous factors refer to the external relationships or flows that connect a place to other places, such as the movement of people, capital, resources, and ideas. These shape place character in several ways:

1. Flows of people: International migration can introduce new cultural practices, languages, and cuisines, which changes the cultural and social demographic character of a neighborhood.
2. Flows of investment and capital: Inward investment from a multinational corporation can create employment, alter local income levels, and transform the physical built environment.
3. Flows of ideas and resources: The import of global ideas around sustainability or urban design can lead to local regeneration projects, changing the aesthetic and functional character of a place.

PastPaper.markingScheme

Award 1 mark for each relevant point, with additional marks for development/elaboration.

- 1 mark for identifying/defining exogenous factors as external connections, relationships, or flows (e.g., people, money, resources, ideas).
- 1 mark for explaining a specific process or mechanism by which these flows occur (e.g., international migration, multinational corporate investment, global tourism).
- 1 mark for explicitly linking this flow to a change in the physical, economic, demographic, or cultural character of the place (e.g., changing the local high street, shifting employment sectors, or introducing new cultural practices).

Note: Maximum 2 marks if there is no clear connection made to how the 'character' of the place is shaped.
PastPaper.question 3 · Data Analysis
6 PastPaper.marks
Figure 1 shows demographic and qualitative data for two contrasting areas, Ward X (an inner-city ward) and Ward Y (a suburban fringe ward) in 2011 and 2021.

Figure 1:

Ward X (Inner-city):
- Born outside UK: 12% in 2011 | 34% in 2021
- Average age: 41.2 years in 2011 | 32.5 years in 2021
- 2011 forum comment: 'A quiet, close-knit neighborhood with long-established local independent shops.'
- 2021 forum comment: 'A vibrant, multicultural place with new hipster cafes, but some older residents feel left behind.'

Ward Y (Suburban fringe):
- Born outside UK: 3% in 2011 | 5% in 2021
- Average age: 45.1 years in 2011 | 48.9 years in 2021
- 2011 forum comment: 'Excellent local schools, a sleepy and peaceful suburb, mostly families.'
- 2021 forum comment: 'Very quiet and safe, but house prices have soared and younger generations can no longer afford to live here.'

Using Figure 1, analyse the differences in demographic change and place representation between Ward X and Ward Y.
PastPaper.showAnswers

PastPaper.workedSolution

The analysis should successfully link the quantitative demographic shifts to the qualitative representations of place for both wards, highlighting clear contrasts.

Ward X (Inner-city) shows rapid and dynamic demographic changes. The population is becoming younger (average age decreasing by 8.7 years from 41.2 to 32.5) and significantly more diverse (proportion born outside the UK nearly tripling from 12% to 34%). This is reflected in the qualitative representation of the place, which shifts from a 'traditional, close-knit' community in 2011 to a 'vibrant, multicultural' space in 2021. This rapid gentrification and rebranding (indicated by 'hipster cafes') has led to social tension, with older residents feeling 'left behind' by the changing character of their neighborhood.

Ward Y (Suburban fringe) shows demographic stagnation and aging. The population is aging (average age increasing from 45.1 to 48.9 years) with almost no change in international diversity (born outside the UK remains extremely low, changing from 3% to 5%). The qualitative character remains 'quiet' and 'safe', but shows a shift toward economic exclusion. Rather than cultural tension as seen in Ward X, Ward Y faces generational exclusion, where 'house prices have soared' and the 'younger generations can no longer afford to live here'.

In comparison, Ward X is experiencing demographic renewal accompanied by cultural division and gentrification, while Ward Y represents an increasingly exclusive and aging suburb characterized by economic barriers rather than demographic diversity.

PastPaper.markingScheme

Level 2 (4-6 marks): Demonstrates clear, coherent analysis of both wards and both data types (demographic and qualitative). Effectively links the quantitative shifts (e.g., age, origin) to changing place representations (e.g., gentrification, exclusion) and contrasts the two areas.

Level 1 (1-3 marks): Descriptive use of the data, potentially listing statistics or quotes without linking them. May focus on only one ward or fail to offer meaningful comparison of changes over time. Response may be unstructured or lack geographical terminology.
PastPaper.question 4 · essay
9 PastPaper.marks
Assess the role of external forces, such as government policies or multinational corporations, in shaping the demographic and socio-economic character of a place you have studied.
PastPaper.showAnswers

PastPaper.workedSolution

Typical response structure: 1. Introduction: Define the studied place (e.g., Stratford, East London; Detroit, USA; or Bournville, Birmingham) and identify the key external forces (e.g., Olympic Delivery Authority, MNC disinvestment, or CADBURY/chocolate manufacturing). 2. Body Paragraph 1 (Demographic impact): Explain how external forces changed the population structure. For example, in Stratford, the UK government's 2012 Olympic regeneration policy introduced high-income, younger professionals, altering the local demographic from a traditionally working-class, diverse population to include more affluent, highly educated young people. 3. Body Paragraph 2 (Socio-economic impact): Discuss the economic changes. In Detroit, the decisions of multinational automotive companies (General Motors, Ford) to disinvest and move manufacturing abroad led to massive deindustrialisation, high unemployment, and widespread poverty. 4. Body Paragraph 3 (Evaluation of other factors): Contrast these external forces with endogenous factors, such as the area's existing physical geography, infrastructure, or community-led initiatives that resisted or modified these changes. 5. Conclusion: Synthesise the argument, stating to what extent external forces were the primary driver of change. Stronger answers will conclude that while local character persists in small pockets, large-scale demographic and socio-economic shifts are almost always initiated or heavily accelerated by powerful external economic or political forces.

PastPaper.markingScheme

AO1 (4 marks): Demonstrate knowledge and understanding of how external forces (such as government policies, multinational corporations, or international institutions) shape the demographic and socio-economic character of places. AO2 (5 marks): Apply knowledge and understanding to assess the relative importance or role of these external forces in a specific studied place context. Mark scheme levels: Level 3 (7-9 marks): Clear, detailed, and purposeful assessment of a specific studied place. Well-selected evidence is used to support the argument. The evaluation of external forces versus other factors is balanced and coherent. Terminology is accurate. Level 2 (4-6 marks): Explains how external forces shaped the place with some specific facts. Assessment is present but may be unbalanced or lack depth in contrasting with other factors. Level 1 (1-3 marks): Basic, descriptive response with limited specific place knowledge. May assert that changes happened without analyzing 'how' or 'to what extent' external forces were responsible.
PastPaper.question 5 · Long Essay
20 PastPaper.marks
Assess the extent to which external forces (such as corporate decisions, government policies, or global institutions) have been more influential than internal factors in shaping the demographic and socio-economic character of a place you have studied. (20 marks)
PastPaper.showAnswers

PastPaper.workedSolution

To structure a high-quality response, students should focus on a specific, named place (local or distant) studied during their course. For example, a student might choose Stratford (East London), Detroit (USA), or a smaller rural settlement like Bournville.

### Indicative Content Structure:

1. **Introduction**:
- Define 'character of place' (demographic profile, socio-economic factors such as employment, income, health, and education).
- Clearly introduce the chosen case study (e.g., Stratford, East London) and state the central thesis: while external forces like government-backed regeneration and global investment have triggered massive physical and economic restructuring, internal factors (historical socio-economic legacies and local community resistance) continue to shape its social fabric.

2. **The Role of External Forces (AO1 & AO2)**:
- *Example Evidence (Stratford)*: The decision of the International Olympic Committee (global institution) to award the 2012 Games, combined with UK Central Government funding (national policy) and investment from property developers like Westfield (corporate decision).
- *Impact*: Transformed Stratford from a post-industrial brownfield site into a major retail, transport, and residential hub. Shifted the employment structure from manufacturing/industrial decline towards tertiary sectors (retail, hospitality, tech).
- *Demographic shift*: Attracted younger, higher-income professionals, increasing the average income but also causing gentrification and displacement of lower-income families.

3. **The Role of Internal/Local Factors (AO1 & AO2)**:
- *Example Evidence*: The pre-existing physical geography (the Lea Valley rail and canal networks) which initially dictated its industrial character, and the socio-economic legacy of multi-generational deprivation.
- *Local Agency*: Local community groups (e.g., Focus E15 moms, local housing campaigns) fighting against displacement and pushing for social housing quotas.
- *Impact*: Internal resistance and local housing conditions have forced local councils (Newham) to adapt planning policies to retain some affordable housing, showing that local factors can moderate global economic forces.

4. **Synthesis/Evaluation (AO2)**:
- Analyze the interplay. External forces act as the catalyst for rapid change, injecting capital and shifting demographics quickly. However, the existing local context determines *how* those external forces are received, resisted, or adapted.
- In some places (e.g., extreme post-industrial decline), external disinvestment (e.g., deindustrialization in Detroit due to corporate decisions of the Big Three automakers) creates a vacuum where local factors have to struggle to survive, demonstrating the overwhelming power of global capital.

5. **Conclusion**:
- Summarize the main points. Conclude with a nuanced judgment: external forces are typically the primary drivers of macro-level economic and demographic transitions, but the unique identity and day-to-day social reality of a place are co-produced by the resilience and legacy of internal local factors.

PastPaper.markingScheme

### Marking Grid (AQA AS Geography Criteria)

**Level 4 (16–20 marks) - High Quality**:
- **AO1**: Demonstrates detailed, highly accurate, and relevant geographical knowledge of both external forces (such as corporate decisions or government policies) and internal/local factors affecting the chosen place.
- **AO2**: Provides a sophisticated, balanced, and critical evaluation of the relative influence of these forces. Argues a clear, coherent line of reasoning leading to a well-supported, logical conclusion.
- **Structure**: Well-organized, fluent, with precise use of geographical terminology.

**Level 3 (11–15 marks) - Good Quality**:
- **AO1**: Good knowledge and understanding of place characteristics and the factors shaping them. Case study details are mostly accurate and relevant.
- **AO2**: Clearly analyzes and evaluates the relative importance of external vs. internal factors, though the argument may slightly favor one side or lack the deepest synthesis.
- **Structure**: Generally clear and structured, with appropriate terminology.

**Level 2 (6–10 marks) - Basic to Moderate Quality**:
- **AO1**: Shows generalized or descriptive knowledge of the chosen place. May focus heavily on description rather than analyzing the factors causing change.
- **AO2**: Evaluative comments are present but superficial or asserted without strong supporting evidence. The connection between external/internal drivers and demographic/socio-economic outcomes is weak.
- **Structure**: Basic structure, some geographical vocabulary used correctly.

**Level 1 (1–5 marks) - Low Quality**:
- **AO1**: Offers very limited, isolated, or inaccurate descriptive points about a place. Confuses external and internal forces.
- **AO2**: Little to no attempt at evaluation or comparison. No coherent conclusion.

### Key Concepts to Credit:
- **External forces**: Globalization, MNC activities, national/regional planning policies, global migration flows, supranational investments.
- **Internal factors**: Topography, site/situation, local community groups, historical industrial legacy, local governance.
- **Socio-economic/Demographic indicators**: Employment rates, deprivation indices, age structure, ethnic diversity, housing tenure.

Paper 2 Section B: Fieldwork and Skills

Answer Question 2 and either Question 3 or Question 4.
9 PastPaper.question · 40 PastPaper.marks
PastPaper.question 1 · Core Fieldwork Questions
4.6 PastPaper.marks
Assess the advantages of using systematic sampling compared to opportunistic sampling when investigating the change in environmental quality away from a newly developed transport hub.
PastPaper.showAnswers

PastPaper.workedSolution

Systematic sampling involves selecting sample points at regular, pre-determined intervals (e.g., every 50 meters along a transect away from the transport hub). This ensures even coverage across the study area and allows clear spatial trends or gradients to be identified and mapped. It significantly reduces researcher bias compared to opportunistic sampling, where researchers select easily accessible or convenient sites, which may lead to unrepresentative and skewed data. Furthermore, systematic sampling is easy to plan and execute in the field, ensuring consistency between different student pairs.

PastPaper.markingScheme

Mark scheme: Up to 2 marks for clear explanation of systematic sampling advantages in this context (e.g., spatial representation, trend identification). Up to 2 marks for contrasting with the weaknesses of opportunistic sampling (e.g., bias, lack of representativeness). Max 4.6 marks overall. 4 marks: Well-developed points with clear geographical terminology. 0.6 marks allocated for clarity of communication and structure.
PastPaper.question 2 · Core Fieldwork Questions
4.6 PastPaper.marks
Explain the importance of conducting a pilot study before carrying out primary data collection to investigate pebble size and roundness along a stretch of coastline.
PastPaper.showAnswers

PastPaper.workedSolution

A pilot study is a small-scale trial run of the main data collection methods. In a coastal pebble investigation, it is crucial for several reasons: 1. Methodology Refinement: It allows students to test the sampling interval (e.g., whether a 10m interval yields enough variation) and the classification systems (e.g., Powers' Scale of Roundness) to ensure consistency in judgment. 2. Equipment Check: It ensures calipers or roundness charts are appropriate for the beach material. 3. Risk Assessment: It helps identify localized hazards, such as rapidly rising tides or slippery rock pools, which may not have been clear from secondary maps. 4. Time Management: It gives an estimate of how long each measurement takes, allowing realistic planning for the main fieldwork day.

PastPaper.markingScheme

Mark scheme: Up to 2 marks for explaining methodological benefits (testing equipment, choosing intervals, establishing classification standards). Up to 2 marks for explaining operational benefits (risk assessment, time management, logistics). Max 4.6 marks. Level 2 (3-4.6 marks): Demonstrates clear understanding of the purpose of a pilot study with specific application to coastal pebble fieldwork. Level 1 (1-2 marks): Generalized points about testing methods without specific context.
PastPaper.question 3 · Core Fieldwork Questions
4.6 PastPaper.marks
Describe and justify an appropriate risk assessment strategy for a student group measuring river discharge and velocity across different urban and rural sites.
PastPaper.showAnswers

PastPaper.workedSolution

To ensure safety when measuring river discharge, a robust risk assessment strategy must identify key hazards and outline specific, actionable mitigations: 1. Fast-flowing or deep water: Students must measure depth beforehand using a ranging pole; do not enter water above knee-height. Wear wading boots or life jackets if necessary. 2. Slippery/unstable riverbanks: Wear sturdy footwear with good grip and use buddy systems where one student stabilizes the other. 3. Waterborne pathogens (e.g., Weil's disease): Avoid open wounds contacting water, do not ingest river water, and sanitize hands thoroughly before eating. 4. Sudden weather changes (flash flooding): Monitor local weather forecasts in the days leading up to and during the fieldwork; abort if heavy rainfall occurs upstream.

PastPaper.markingScheme

Mark scheme: 2 marks for identifying specific, context-relevant hazards (slippery banks, deep water, Weil's disease). 2 marks for proposing realistic, actionable mitigation strategies for those hazards. Max 4.6 marks. For full marks, both hazards and mitigations must be clearly linked and appropriate for river-based fieldwork.
PastPaper.question 4 · Core Fieldwork Questions
4.6 PastPaper.marks
Assess how qualitative data, such as field sketches or historical photographs, can be integrated with quantitative environmental quality surveys to provide a more complete understanding of place characteristics.
PastPaper.showAnswers

PastPaper.workedSolution

Integrating qualitative and quantitative data allows for 'triangulation', which strengthens the validity of fieldwork conclusions. Environmental Quality Surveys (EQSs) provide numerical, objective-style scores for specific locations, allowing statistical analysis and spatial comparison. However, they lack depth. By adding qualitative field sketches, students can annotate specific visual features (e.g., types of graffiti, architectural styles, pedestrian flow) that explain why an EQS score was low or high. Historical photographs allow students to assess temporal change, showing what a place used to look like and helping to contextualize current EQS scores. This combined approach captures both the statistical reality and the subjective 'lived experience' or 'sense of place'.

PastPaper.markingScheme

Mark scheme: Up to 2 marks for explaining the value of quantitative data (EQS) and its limitations. Up to 2 marks for explaining how qualitative data (sketches, historical photos) adds depth, meaning, or explanation to these numerical patterns. Max 4.6 marks. Higher-tier answers will explicitly mention the concept of triangulation or providing a multi-dimensional view of place.
PastPaper.question 5 · Core Fieldwork Questions
4.6 PastPaper.marks
Evaluate the use of a scatter graph compared to a bar chart to represent the relationship between distance from the central business district (CBD) and the average height of buildings.
PastPaper.showAnswers

PastPaper.workedSolution

To represent the relationship between two continuous variables (distance in meters/kilometers and building height in meters/stories), a scatter graph is highly appropriate. It allows each individual sample point to be plotted accurately as a coordinate, enabling the identification of a correlation (e.g., negative correlation as distance from CBD increases) and the drawing of a line of best fit. Outliers can also be easily spotted. In contrast, a bar chart would require distance to be grouped into artificial, discrete categories (e.g., 0-1km, 1-2km), which loses the precision of continuous data and makes it harder to identify exact mathematical relationships or perform statistical tests like Spearman's Rank.

PastPaper.markingScheme

Mark scheme: Up to 2 marks for evaluating the strengths of a scatter graph for continuous, bivariate data (correlation, line of best fit, outliers). Up to 2 marks for evaluating the limitations of a bar chart in this context (loss of detail through categorization, inability to easily show continuous correlation). Max 4.6 marks. Points must directly contrast the two techniques for full marks.
PastPaper.question 6 · calculation
4.25 PastPaper.marks
As part of an investigation into downstream changes in a river channel, a student measures the width, depth, and velocity at a site. The channel width is measured as 3.0 m. Systematic depth measurements across the channel are recorded as: 0.15 m, 0.25 m, 0.30 m, and 0.10 m. The mean velocity at this site is measured using a flow meter as 0.40 m/s. Calculate the stream discharge (Q) at this site. Show your working and state the correct units in your final answer.
PastPaper.showAnswers

PastPaper.workedSolution

Step 1: Calculate the mean depth of the channel. Mean depth = \( \frac{0.15 + 0.25 + 0.30 + 0.10}{4} = 0.20 \text{ m} \). Step 2: Calculate the cross-sectional area (A) of the channel. Area = Width \( \times \) Mean depth = \( 3.0 \text{ m} \times 0.20 \text{ m} = 0.60 \text{ m}^2 \). Step 3: Calculate the discharge (Q). Q = Area \( \times \) Velocity = \( 0.60 \text{ m}^2 \times 0.40 \text{ m/s} = 0.24 \text{ m}^3/\text{s} \).

PastPaper.markingScheme

1 mark for calculating the correct mean depth of 0.20 m. 1 mark for calculating the correct cross-sectional area of 0.60 m2. 1 mark for calculating the correct discharge value of 0.24. 1 mark for providing the correct units (m3/s or cumecs). Accept 0.24 m3/s or 0.24 cumecs.
PastPaper.question 7 · calculation
4.25 PastPaper.marks
Students investigating socioeconomic deprivation and urban regeneration collected Environmental Quality Survey (EQS) scores from 11 selected sites across a city borough. The raw scores recorded are: 19, 12, 25, 15, 30, 18, 23, 14, 27, 21, and 32. Calculate the Interquartile Range (IQR) for this dataset. Show your working.
PastPaper.showAnswers

PastPaper.workedSolution

Step 1: Order the raw data from lowest to highest: 12, 14, 15, 18, 19, 21, 23, 25, 27, 30, 32. Step 2: Determine the median and quartiles. Number of data points (N) = 11. Median is the 6th value (21). Lower Quartile (Q1) is the 3rd value (15). Upper Quartile (Q3) is the 9th value (27). Step 3: Calculate the Interquartile Range (IQR). \( \text{IQR} = Q_3 - Q_1 = 27 - 15 = 12 \).

PastPaper.markingScheme

1 mark for correctly ordering the data set. 1 mark for identifying the Lower Quartile (Q1) as 15. 1 mark for identifying the Upper Quartile (Q3) as 27. 1 mark for the correct calculation of IQR as 12.
PastPaper.question 8 · calculation
4.25 PastPaper.marks
During a coastal fieldwork investigation, a student measures pebble size along a spit to test the hypothesis that sediment size decreases with distance along the spit. At Site A (near the start of the spit), the long-axis lengths of 5 sampled pebbles are: 12.4 cm, 9.8 cm, 11.2 cm, 8.6 cm, and 10.0 cm. At Site B (near the distal end), the mean pebble size is recorded as 6.5 cm. Calculate the percentage decrease in mean pebble size from Site A to Site B. Show your working and give your answer to one decimal place.
PastPaper.showAnswers

PastPaper.workedSolution

Step 1: Calculate the mean pebble size at Site A. Sum = \( 12.4 + 9.8 + 11.2 + 8.6 + 10.0 = 52.0 \text{ cm} \). Mean at Site A = \( 52.0 / 5 = 10.4 \text{ cm} \). Step 2: Calculate the absolute decrease in mean pebble size. Decrease = \( 10.4 \text{ cm} - 6.5 \text{ cm} = 3.9 \text{ cm} \). Step 3: Calculate the percentage decrease. Percentage decrease = \( (3.9 / 10.4) \times 100 = 37.5\% \).

PastPaper.markingScheme

1 mark for calculating the correct mean pebble size at Site A (10.4 cm). 1 mark for calculating the correct absolute difference (3.9 cm). 1 mark for showing the correct percentage change formula setup: (3.9 / 10.4) * 100. 1 mark for the correct final answer of 37.5% (must be to 1 decimal place).
PastPaper.question 9 · calculation
4.25 PastPaper.marks
In an investigation of carbon storage in a local deciduous woodland, a student uses a simplified allometric model to estimate aboveground tree biomass: Biomass (kg) = \( 0.25 \times d^2 \), where d is the Diameter at Breast Height (DBH) in centimetres. The student measures three trees in a 50 m sampling plot with DBH values of 12 cm, 16 cm, and 20 cm. Calculate the estimated biomass density of this plot in kilograms per square metre (kg/m). Show your working.
PastPaper.showAnswers

PastPaper.workedSolution

Step 1: Calculate the biomass of each tree. Tree 1: \( 0.25 \times 12^2 = 36 \text{ kg} \). Tree 2: \( 0.25 \times 16^2 = 64 \text{ kg} \). Tree 3: \( 0.25 \times 20^2 = 100 \text{ kg} \). Step 2: Calculate the total biomass of the plot. Total biomass = \( 36 + 64 + 100 = 200 \text{ kg} \). Step 3: Calculate the biomass density per square metre. Biomass density = \( 200 \text{ kg} / 50 \text{ m}^2 = 4 \text{ kg/m}^2 \).

PastPaper.markingScheme

1 mark for calculating the correct biomass for all three individual trees (36 kg, 64 kg, and 100 kg). 1 mark for calculating the correct total plot biomass (200 kg). 1 mark for setting up the correct density equation (total biomass divided by plot area of 50 m2). 1 mark for the correct final density value of 4 kg/m2.

PastPaper.sampleCTATitle

PastPaper.sampleCTADescription

PastPaper.sampleStickyMessage

PastPaper.stickyCtaText