Cambridge IGCSE · Thinka-original Practice Paper
2024 Cambridge IGCSE Geography (0460) Practice Paper with Answers
Thinka Jun 2024 (V2) Cambridge International A Level-Style Mock — Geography (0460)
Paper 1 Geographical Themes (P12)
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One major cause of rapid urban growth in Rio de Janeiro is rural-to-urban migration, driven by strong push factors from the rural North-East (Sertão) of Brazil. These include extreme, frequent droughts that destroy subsistence crops and the increasing mechanisation of commercial agriculture, which has left thousands of farm laborers unemployed.
Pull factors to Rio de Janeiro include the perception of better employment opportunities in the informal and formal service sectors, manufacturing, and tourism. Migrants are also attracted by better social infrastructure, such as access to healthcare facilities and schools, which are scarce in rural areas.
Another significant cause of growth is natural increase. The majority of rural-to-urban migrants are young adults of child-bearing age. Consequently, the urban population has a high birth rate. Combined with access to basic urban healthcare which has reduced death rates, this has resulted in a high rate of natural population growth within the city's informal settlements (favelas) like Rocinha.
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- E.g., People move to the city to find jobs. There are better schools there. Droughts make farmers leave the countryside.
Level 2 (4–6 marks): Developed explanations of reasons for growth, with some specific references to the named example.
- E.g., Farmers migrate from the dry North-East of Brazil to Rio because crop failure means they have no income. They are attracted to Rio by construction and manufacturing jobs.
Level 3 (7 marks): Fully developed explanation of both migration and natural increase, with precise, place-specific details/data for the chosen urban area (e.g., referencing specific source regions like Bahia, specific favelas like Rocinha, or specific industries).
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The eruption of the Soufrière Hills volcano generated extreme hazards, notably highly destructive pyroclastic flows (superheated mixtures of gas, ash, and rock moving at over 100 km/h) and thick deposits of volcanic ash.
The impacts on people were catastrophic. The pyroclastic flows killed 19 people who had remained in the designated exclusion zone to watch over their crops. The capital city of Plymouth was completely buried under meters of ash and mud, forcing the permanent evacuation and displacement of over 7,000 residents (more than half the island's population) to the northern safe zone or overseas to the UK.
Economically, the island's main airport (W.H. Bramble Airport) and only deep-water port were destroyed, paralyzing the tourism and export industries. Environmentally, large areas of agricultural land and tropical rainforest were completely incinerated, leaving the southern two-thirds of the island a barren wasteland.
Marking scheme
- E.g., There was hot ash and rock. People died and houses were destroyed. People had to move away.
Level 2 (4–6 marks): Developed descriptions and explanations of the hazards and impacts, with clear reference to the chosen volcanic eruption.
- E.g., Pyroclastic flows swept down the sides of the volcano and buried the capital city, Plymouth. This forced thousands of people to evacuate to the north of Montserrat.
Level 3 (7 marks): Thoroughly developed explanation of both physical hazards and human/environmental impacts, utilizing precise place-specific details and accurate data (e.g., named settlements, casualty numbers, specific economic costs, or agricultural impacts).
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In South Sudan, food shortages are caused by a complex combination of physical and human factors.
A major physical cause is climate variability. The country experiences unreliable rainfall patterns, including prolonged droughts that dry out soils and cause crops like sorghum to fail. Conversely, sudden flash flooding in low-lying areas along the Nile River drowns standing crops and drowns cattle. Furthermore, biological hazards such as desert locust infestations have periodically devoured vast swathes of crops.
However, human factors are the primary driver of severe food shortages. Prolonged civil conflict has displaced millions of farming families, forcing them to flee to protection camps and leave agricultural fields uncultivated. The instability also prevents aid agencies from safely delivering food relief to remote states like Unity and Jonglei. Economically, hyperinflation has made imported foodstuffs unaffordable for the impoverished population, while a lack of paved roads means that domestic food surpluses in one part of the country cannot be transported to areas experiencing deficit.
Marking scheme
- E.g., It does not rain enough. There is a war. Pests eat the crops. People are too poor to buy food.
Level 2 (4–6 marks): Developed explanations of how physical and human factors combine to create food shortages, with some reference to the chosen country.
- E.g., Civil conflict in South Sudan means farmers flee their land so crops are not planted. Additionally, poor road networks prevent food aid from reaching areas in need.
Level 3 (7 marks): Comprehensive, well-developed explanations covering both physical and human causes, supported by specific place-specific details, names of regions/states, or statistical data for the chosen case study.
Paper 2 Geographical Skills (P22)
Section Instructions: Answer all questions. You must use the described 1:25 000 survey map extract of Coledale to complete this question.
Study the hypothetical 1:25 000 topographic map extract of Coledale with a contour interval of 10m. The map extract shows an area of hilly terrain, the River Cole valley, and several settlement patterns. Eastings range from 40 to 46, and Northings range from 15 to 22.
(a) Grid References and Map Features:
(i) Identify the type of vegetation found at the 4-figure grid reference 4218. [1 mark]
(ii) Give the 6-figure grid reference of the post office in the nucleated village of High Beck. [2 marks]
(iii) Name the type of natural vegetation found in grid square 4522. [1 mark]
(b) Distance, Direction, and Gradient:
(i) State the general compass direction and bearing from the church with a spire in grid square 4119 to the bridge at 446215. [1 mark]
(ii) Measure the straight-line distance, in metres, between the church with a spire in grid square 4119 and the bridge at 446215. [1 mark]
(iii) Calculate the gradient along this straight line, given that the altitude of the church is 180 metres and the altitude of the bridge is 30 metres. Show your working. [2 marks]
(c) Physical Features:
Describe the physical features of the River Cole and its valley between grid lines 40 and 46. [5 marks]
(d) Settlement Patterns:
Describe the distribution and patterns of the settlements shown on the map extract. [5 marks]
(e) Slope Analysis:
Describe the shape of the slope in grid square 4317 from north to south, and explain how the contours show this. [2 marks]
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Part (a) Solutions:
(i) The 4-figure grid square 4218 is dominated by Coniferous forest/woodland.
(ii) The post office symbol is located exactly at 432204 (allowable range 431204 to 433204 for Eastings, and 432203 to 432205 for Northings).
(iii) Grid square 4522 shows Deciduous forest/woodland.
Part (b) Solutions:
(i) Direction from the church (413192) to the bridge (446215) is North East (NE) or East-North-East (ENE), with a bearing of approximately 55 degrees (accept range 50 to 65 degrees).
(ii) The straight-line distance is 4.0 km on the ground, which corresponds to 16.0 cm on a 1:25 000 map. Thus, the real-world distance is 4000 metres (accept 3900m to 4100m).
(iii) Gradient = Height Difference / Horizontal Distance.
Height Difference = 180m - 30m = 150m.
Horizontal Distance = 4000m (using candidate's answer from b-ii).
Gradient = 150 / 4000 = 1/26.67 = 1 in 26.7 (or 3.75% / 0.0375).
Part (c) Solutions:
The River Cole flows generally from southwest to northeast. In its western section (upstream), the valley is narrow and V-shaped with steep sides. As it moves east (downstream), the valley floor opens out into a wide, flat floodplain. The river exhibits a highly meandering course, including an oxbow lake (cut-off meander) in grid square 4521. Multiple tributaries join the main river, with a key confluence at High Beck (4321). Valley slopes are asymmetrical, with steeper slopes on the southern and eastern margins.
Part (d) Solutions:
Settlement is unevenly distributed across the map extract. High Beck is a clear nucleated settlement clustered around the road junction and bridge point in grid square 4320. In contrast, a linear settlement pattern is visible along the B3012 road in grid squares 4118 and 4218. The upland plateau areas (above 150m) feature isolated, dispersed farmsteads. Crucially, there is a total avoidance of settlement on the low-lying valley floor/floodplain to avoid flood hazards (dry-point settlement site selection on lower valley slopes/ridges).
Part (e) Solutions:
The slope in grid square 4317 from north to south is concave. In the north, near the river, the contour lines are widely spaced, indicating a gentle gradient. Moving southwards, the contour lines become progressively closer together, showing that the slope becomes steeper as elevation increases towards the ridge.
Marking scheme
(a) Grid References & Features [Total: 4 marks]
(i) Coniferous forest/woodland [1 mark]. Reject: Forest (must specify type from key or map characteristics).
(ii) 432204 [2 marks]. Award 1 mark for correct Easting (431, 432 or 433) and 1 mark for correct Northing (203, 204 or 205).
(iii) Deciduous forest/woodland [1 mark]. Reject: Mixed wood.
(b) Distance, Direction, & Gradient [Total: 4 marks]
(i) North East (NE) or East-North-East (ENE) or bearing of 50 to 65 degrees [1 mark].
(ii) 4000m (accept 3900m to 4100m) [1 mark]. Reject: 4km (question asks for metres).
(iii) 1 in 26.7 (accept 1 in 26 to 1 in 27.3, or 3.7% to 3.8%) [2 marks].
- Award 1 mark for correct formula/working: Height difference of 150m divided by candidate's distance from (b)(ii).
- Award 1 mark for correct final gradient calculation.
(c) Physical Features [Total: 5 marks]
Award 1 mark for each valid descriptive point up to a maximum of 5:
- River flows SW to NE / west to east.
- River has a meandering / winding course.
- Tributaries join the main river.
- Confluence located in grid square 4321 / near High Beck.
- V-shaped / narrow / steep-sided valley in the west / upper course.
- Wide / flat valley floor / floodplain in the east / lower course.
- Oxbow lake / cut-off meander in 4521.
- Steep river cliffs / steep outer bank slopes.
- Asymmetrical valley profile (steeper south side / gentler north side).
(d) Settlement Patterns [Total: 5 marks]
Award 1 mark for each valid descriptive point up to a maximum of 5:
- Nucleated settlement at High Beck / grid square 4320.
- Linear settlement along the B3012 road / grid squares 4118-4218.
- Dispersed / isolated farmsteads / dwellings in upland areas (above 150m).
- Avoidance of the flat valley floor / floodplain / low-lying areas (due to flood risk).
- Settlement located on lower valley slopes / dry-point sites.
- High Beck is situated at a bridging point / crossing point of the river.
- No settlement in forested areas / grid square 4218.
(e) Slope Analysis [Total: 2 marks]
- Concave slope [1 mark].
- Explanation: Contours are widely spaced in the north (gentle) and get closer together towards the south (steep) [1 mark].
(a) State the 6-figure grid reference of the church with a tower in Abbotsbury. [1]
(b) Measure the straight-line distance from the road bridge at grid reference 124563 to the railway station at 151594. Give your answer in kilometers. [2]
(c) Calculate the gradient along the road from point A (10m above sea level at 124563) to point B (90m above sea level at 141578), which has a road distance of 2.5 km. [2]
(d) Describe the physical features of the River Avon and its valley in the north-western sector of the map (grid squares 1158 and 1159). [3]
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(b) Measure the distance between the road bridge and the railway station on the map using a ruler (approx. 16.4 cm). Using the map scale of 1:25000 (where 4 cm represents 1 km), convert this to a real-world distance of 4.1 km.
(c) Calculate the vertical height difference: \(90\text{ m} - 10\text{ m} = 80\text{ m}\). The horizontal road distance is 2.5 km (2500 m). Calculate gradient as \(\text{Height difference} / \text{Horizontal distance} = 80 / 2500 = 1\text{ in } 31.25\) (or \(3.2\%\)).
(d) Analyze the landscape in grid squares 1158 and 1159: the contour lines are absent or highly spaced, indicating a flat/gentle valley floor; the river channel is winding (meandering); and wetland symbols indicate marshy ground on the floodplain.
Marking scheme
- (a) 1 mark for correct 6-figure grid reference (132574; accept 131574 to 133575).
- (b) 2 marks: 1 mark for map measurement/scaling working, 1 mark for correct final distance of 4.1 km (allow 4.0 to 4.2 km).
- (c) 2 marks: 1 mark for establishing height difference (80m) and formula setup, 1 mark for correct gradient of 1 in 31.25 (accept 1:31 or 3.2%).
- (d) 3 marks: 1 mark for each valid physical feature described, up to 3 marks (e.g., meandering/winding river channel, flat/gentle valley floor, presence of marsh/wetland/floodplain, river flows southwest).
- January: 22°C, 45mm
- February: 21°C, 50mm
- March: 19°C, 60mm
- April: 16°C, 80mm
- May: 12°C, 110mm
- June: 9°C, 130mm
- July: 8°C, 140mm
- August: 9°C, 120mm
- September: 11°C, 95mm
- October: 14°C, 75mm
- November: 17°C, 55mm
- December: 20°C, 40mm
(a) Calculate the annual temperature range for Station X. [2]
(b) Describe the relationship between temperature and rainfall at Station X. [2]
(c) Identify the climate type shown by the data. Justify your answer using evidence from the table. [4]
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(b) Contrast the two variables: as temperature increases, rainfall decreases. This inverse relationship is clear, as the warmest months (Dec-Feb) have the lowest rainfall (40-50mm) while the coolest months (Jun-Aug) have the highest rainfall (120-140mm).
(c) The climate type is Mediterranean. The justification must use data from the table to highlight mild/cool winters, warm summers, and winter-dominant rainfall (e.g., 140mm in July vs 40mm in December).
Marking scheme
- (a) 2 marks: 1 mark for correct working shown (22 - 8), 1 mark for correct value (14°C). Deduct 1 mark if unit (°C) is missing.
- (b) 2 marks: 1 mark for identifying the inverse/negative relationship, 1 mark for supporting detail or contrast using data values.
- (c) 4 marks: 1 mark for identifying 'Mediterranean' climate. 3 marks for justification (1 mark for temperature characteristics using values, 1 mark for seasonal rainfall distribution characteristics, 1 mark for supporting data points from the table).
- Country A: Birth Rate = 42/1000, Death Rate = 14/1000, Infant Mortality = 65/1000, Life Expectancy = 54 years, Pop. under 15 = 45%, Pop. over 65 = 3%.
- Country B: Birth Rate = 10/1000, Death Rate = 11/1000, Infant Mortality = 3.5/1000, Life Expectancy = 82 years, Pop. under 15 = 16%, Pop. over 65 = 21%.
(a) Calculate the rate of natural increase for Country A as a percentage. [2]
(b) Explain why Country B has a higher death rate than Country A despite having a much higher life expectancy. [2]
(c) Compare the dependency burdens of Country A and Country B, and outline the differing challenges their governments face. [4]
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(b) Country B's higher crude death rate is caused by its demographic structure. With an aging population (21% over 65, compared to Country A's 3%), a larger proportion of its population is in older age brackets with naturally higher mortality risks.
(c) Compare the dependency profiles: Country A has a youthful dependency burden (high percentage under 15) and faces the challenge of funding education, pediatric healthcare, and expanding jobs. Country B has an elderly dependency burden (high percentage over 65) and faces challenges of retirement pensions, elder care, and shrinking tax revenues from a smaller workforce.
Marking scheme
- (a) 2 marks: 1 mark for correct difference (28 per 1000), 1 mark for correct percentage (2.8%).
- (b) 2 marks: 1 mark for identifying the high proportion of elderly people in Country B (21% over 65), 1 mark for explaining that this cohort has a higher natural mortality rate, raising the crude death rate.
- (c) 4 marks: 1 mark for comparative statement of dependency types (youth vs old-age); 1 mark for comparing total dependency ratio (Country A has 48% total dependents, Country B has 37%); 1 mark for describing challenges in Country A (e.g., school building, job creation); 1 mark for describing challenges in Country B (e.g., funding pensions, elder healthcare).
- Country W: Primary = 60%, Secondary = 15%, Tertiary = 25%
- Country X: Primary = 5%, Secondary = 25%, Tertiary = 70%
- Country Y: Primary = 25%, Secondary = 40%, Tertiary = 35%
- Country Z: Primary = 10%, Secondary = 50%, Tertiary = 40%
(a) Identify the country that has the highest percentage of its workforce employed in the secondary sector, and state this percentage. [2]
(b) State the employment percentage in each of the three sectors for Country Y. [2]
(c) Classify Country W and Country X into their likely stages of economic development. Justify your classifications using the employment data. [4]
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(b) The employment figures for Country Y are directly read from the data as: Primary = 25%, Secondary = 40%, and Tertiary = 35%.
(c) Country W has a dominant primary sector (60%), showing that the economy is heavily reliant on agriculture and resource extraction, typical of an LEDC. Country X has a dominant tertiary sector (70%) and a minimal primary sector (5%), reflecting a highly developed, service-oriented economy typical of an MEDC.
Marking scheme
- (a) 2 marks: 1 mark for identifying Country Z, 1 mark for stating 50%.
- (b) 2 marks: 1 mark if two values are correct, 2 marks if all three values are correct (Primary 25%, Secondary 40%, Tertiary 35%).
- (c) 4 marks: 1 mark for classifying Country W as Low Income/LEDC/Developing; 1 mark for explaining that high primary sector (60%) indicates reliance on manual agriculture/extractive industries; 1 mark for classifying Country X as High Income/MEDC/Developed; 1 mark for explaining that high tertiary employment (70%) and low primary employment (5%) are indicative of a mature service economy.
- Basin P: Lag time = 3 hours, Peak discharge = 85 cumecs, Base flow = 10 cumecs.
- Basin Q: Lag time = 12 hours, Peak discharge = 22 cumecs, Base flow = 8 cumecs.
(a) Define the terms 'lag time' and 'peak discharge' as used in river studies. [2]
(b) Calculate the difference in peak discharge between Basin P and Basin Q. [1]
(c) Basin P is heavily urbanized, whereas Basin Q is a forested, rural catchment. Explain how these differences in land use lead to the differing shapes of the hydrographs for Basin P and Basin Q. [5]
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(b) Subtract Basin Q's peak discharge from Basin P's peak discharge: \(85\text{ cumecs} - 22\text{ cumecs} = 63\text{ cumecs}\).
(c) Explain the contrasting hydrological pathways: Basin P's urban surfaces (roads, concrete) are impermeable, preventing infiltration and forcing water to flow rapidly over the surface (overland flow) into gutters and drains, resulting in a short lag time (3 hours) and high peak discharge (85 cumecs). Basin Q's forest canopy intercepts rainfall, and the permeable organic forest soils allow high rates of infiltration and percolation, causing water to travel slowly as throughflow and groundwater flow, resulting in a long lag time (12 hours) and a much lower peak discharge (22 cumecs).
Marking scheme
- (a) 2 marks: 1 mark for defining 'lag time' (time between peak rainfall and peak discharge), 1 mark for defining 'peak discharge' (maximum river flow/discharge after rainfall).
- (b) 1 mark for correct calculation: 63 cumecs (must include unit or accept 63).
- (c) 5 marks:
- 1 mark for mentioning impermeable surfaces/concrete/tarmac in Basin P.
- 1 mark for explaining that this prevents infiltration and increases surface runoff/overland flow.
- 1 mark for referencing gutters/drains in urban areas speed up water delivery to the channel.
- 1 mark for explaining that forests in Basin Q intercept rainfall (leaves/canopy) and slow its arrival to the floor.
- 1 mark for explaining that tree roots and soil organic matter increase infiltration/percolation rates, leading to slower throughflow/groundwater flow.
Paper 4 Alternative to Coursework (P42)
Paper 4: Alternative to Coursework
Section instructions: Answer all questions. Complete the graphs and calculations using the data provided in this paper.
Question 1 (30 marks)
Students from an international school in France investigated how river characteristics changed downstream along the River Tech. They selected 5 sites at equal intervals from the source to the mouth to test the following hypotheses:
Hypothesis 1: River velocity increases downstream.
Hypothesis 2: Bedload size decreases and roundness increases downstream.
Table 1: Velocity measurements at Site 3
- Trial 1: 0.42 m/s
- Trial 2: 0.48 m/s
- Trial 3: 0.45 m/s
Table 2: Average velocity at all 5 sites
- Site 1: 0.22 m/s
- Site 2: 0.31 m/s
- Site 3: [To be calculated]
- Site 4: 0.58 m/s
- Site 5: 0.64 m/s
Tasks:
(a) Describe how students could measure velocity at each site using a float, a tape measure, and a stopwatch. [4 marks]
(b) State one advantage and one disadvantage of using a float to measure river velocity compared to using a digital flow meter. [2 marks]
(c) Calculate the average velocity for Site 3. Show your working. [2 marks]
(d) Describe how the students would use the data in Table 2 to plot a line graph showing average velocity from Site 1 to Site 5. [3 marks]
(e) State whether the data supports Hypothesis 1: 'River velocity increases downstream'. Support your conclusion with evidence from the table. [3 marks]
(f) To investigate Hypothesis 2, students sampled 10 stones from the river bed at each site. Describe a systematic method they could use to select the stones to avoid bias. [3 marks]
(g) Explain how the students would measure the size of the long axis of a selected stone using a caliper. [2 marks]
(h) Explain why bedload size decreases and roundness increases downstream. [4 marks]
(i) Identify two safety hazards the students might face during this river fieldwork and suggest one precaution for each hazard. [4 marks]
(j) Evaluate the fieldwork methodology. Suggest three ways the reliability of the results could be improved. [3 marks]
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(a) Measuring velocity:
1. Measure a fixed distance along the river bank (e.g., 10 meters) using a tape measure.
2. Mark the start and end points of this distance.
3. Release a float (e.g., an orange or tennis ball) slightly upstream of the start point so it is moving at river speed when it crosses the start line.
4. Start the stopwatch as the float passes the start point, and stop it as it passes the end point.
5. Repeat this process multiple times to calculate an average travel time, then divide distance by time to calculate velocity \(v = d/t\).
(b) Float vs Flow Meter:
- Advantage: Free/inexpensive equipment; easy to replace if lost.
- Disadvantage: Measures only surface velocity, which is faster than deeper water due to less friction; can get trapped in eddies or vegetation; affected by wind.
(c) Calculation:
\(\text{Average} = \frac{0.42 + 0.48 + 0.45}{3} = \frac{1.35}{3} = 0.45 \text{ m/s}\).
(d) Graph construction:
1. Plot the sites (1 to 5) on the horizontal (x) axis at equal intervals.
2. Plot velocity (m/s) on the vertical (y) axis using a suitable scale (e.g., 2 cm = 0.1 m/s).
3. Plot the point for each site accurately (e.g., Site 3 at 0.45 m/s) and connect the points with a straight line.
(e) Hypothesis 1 Conclusion:
- The data supports the hypothesis.
- General trend: Average velocity increases steadily from Site 1 (0.22 m/s) to Site 5 (0.64 m/s).
- Supporting data: From Site 1 to Site 5, velocity increased by 0.42 m/s.
(f) Systematic bedload sampling:
1. Use a transect across the river channel from one bank to the other.
2. Select stones at regular intervals (e.g., every 50 cm or 1 meter) along the transect tape.
3. Pick up the stone that is directly under the marking point on the tape without looking (to avoid choosing larger/prettier stones).
(g) Measuring stone size:
1. Place the long axis (maximum length) of the stone between the jaws of the caliper.
2. Close the jaws firmly but gently against the stone.
3. Read the scale measurement (in millimeters) directly off the caliper vernier or digital display.
(h) Reasons for change downstream:
- Attrition: Stones collide with each other, breaking off sharp edges and making them rounder and smaller.
- Corrasion/Abrasion: Stones rub against the river bed and banks, wearing away the load.
- Sorting: Larger, heavier stones are deposited upstream because velocity is insufficient to transport them, while smaller rocks are transported further downstream.
(i) Hazards and Precautions:
- Hazard 1: Slippery rocks / falling into water. Precaution: Wear sturdy boots with good grip; use wading poles for balance.
- Hazard 2: Strong currents / deep pools. Precaution: Do not wade past knee height; monitor weather forecasts to avoid flash floods; wear a life jacket.
(j) Improving reliability:
1. Sample more than 10 stones per site (e.g., 30 stones) to get a more statistically representative sample.
2. Measure velocity at multiple positions across the channel width (left, center, right) rather than just a single thread.
3. Repeat measurements on different days or seasons to account for variations in discharge.
Marking scheme
(a) Measuring velocity [Max 4]:
- 1 mark for measuring a fixed distance (e.g. 10m) with tape measure.
- 1 mark for releasing float upstream of start point.
- 1 mark for timing with stopwatch from start to finish line.
- 1 mark for repeating and calculating average speed using distance/time formula.
Do not accept just 'measure distance' without specifying tool or distance.
(b) Advantage/Disadvantage [Max 2]:
- 1 mark for valid advantage (e.g., low cost, simple to use).
- 1 mark for valid disadvantage (e.g., wind interference, surface only, gets caught in rocks).
Do not accept 'inaccurate' without explanation.
(c) Calculation [Max 2]:
- 1 mark for showing working: \((0.42 + 0.48 + 0.45) / 3\).
- 1 mark for correct answer: 0.45 (m/s). (Allow 0.45 without working for 1 mark).
(d) Graph description [Max 3]:
- 1 mark for identifying axes correctly (x-axis = Sites, y-axis = Velocity).
- 1 mark for plotting the calculated Site 3 value (0.45) accurately.
- 1 mark for connecting points with a continuous line.
(e) Hypothesis Conclusion [Max 3]:
- 1 mark for stating that the hypothesis is fully supported / true.
- 1 mark for citing velocity increase from 0.22 m/s (Site 1) to 0.64 m/s (Site 5).
- 1 mark for showing a general increase at each intermediate site (e.g., Site 2 to 3, or Site 4 to 5).
(f) Systematic sampling [Max 3]:
- 1 mark for using a tape across the river (cross-profile transect).
- 1 mark for sampling at fixed intervals (e.g., every 50cm).
- 1 mark for blind selection technique (e.g., touching the bed at the exact point without looking).
(g) Caliper measurement [Max 2]:
- 1 mark for identifying the long axis / longest part of the stone.
- 1 mark for placing jaws flush against the ends of the axis and reading the millimeter scale.
(h) Reasons for downstream changes [Max 4]:
- 1 mark for identifying attrition (colliding with other rocks).
- 1 mark for identifying abrasion (rubbing against bed/banks).
- 1 mark for explanation of rounding (wearing away of sharp corners/edges).
- 1 mark for hydraulic sorting (smaller particles carried further downstream due to lower mass).
(i) Hazards and Precautions [Max 4]:
- 1 mark for each valid hazard (up to 2).
- 1 mark for each corresponding precaution (up to 2).
Accept: Slippery rocks -> wear grippy footwear; Deep water/currents -> do not wade deep/wear life jacket; Cold water -> wear thermal waders.
(j) Improving reliability [Max 3]:
- 1 mark for increasing sample size (e.g., 30 stones instead of 10).
- 1 mark for measuring at different times of the year/discharge conditions.
- 1 mark for cross-channel velocity profiling (left/middle/right measurements).
Paper 4: Alternative to Coursework
Question 2 (30 marks)
A group of geography students in the UK wanted to investigate the Sphere of Influence of two different shopping areas in a town: the traditional Central Business District (CBD) and a newly developed out-of-town retail park. They formulated the following hypotheses:
Hypothesis 1: The CBD has a larger sphere of influence than the out-of-town retail park.
Hypothesis 2: People visit the CBD and the retail park for different purposes and using different modes of transport.
Table 3: Distance traveled by shoppers (number of respondents out of 50 per site)
- Under 2 km: CBD = 15, Retail Park = 5
- 2 - 5 km: CBD = 18, Retail Park = 12
- 5.1 - 10 km: CBD = 12, Retail Park = 20
- Over 10 km: CBD = 5, Retail Park = 13
Table 4: Primary mode of transport used by shoppers (percentage)
- Walking: CBD = 30%, Retail Park = 2%
- Bus: CBD = 40%, Retail Park = 5%
- Train: CBD = 10%, Retail Park = 8%
- Car: CBD = 20%, Retail Park = 85%
Tasks:
(a) Define the term 'sphere of influence'. [2 marks]
(b) State three rules the students should follow when designing their questionnaire to ensure high-quality, unbiased responses. [3 marks]
(c) The students used a systematic sampling method to select 50 shoppers at each location. Explain how they would carry out this sampling method and why it is better than random sampling for this task. [4 marks]
(d) Using the data in Table 3, describe the differences in the distance traveled by shoppers to the CBD compared to the Retail Park. [4 marks]
(e) Do you agree with Hypothesis 1: 'The CBD has a larger sphere of influence than the out-of-town retail park'? Justify your answer using evidence from Table 3. [4 marks]
(f) (i) Explain how the students would represent the transport mode data from Table 4 on a divided bar graph. [3 marks]
(f) (ii) Suggest geographical reasons for the differences in modes of transport used to visit the CBD compared to the Retail Park. [4 marks]
(g) Suggest two other pieces of primary data, besides questionnaires, the students could collect to compare the two shopping areas. [2 marks]
(h) Explain the limitations of conducting this questionnaire survey on a single Saturday morning in December. [4 marks]
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Worked solution
(a) Sphere of influence: The geographical area served by a settlement, shop, or service. It represents the distance people are willing to travel to access these functions.
(b) Questionnaire design rules:
1. Keep questions short, clear, and unambiguous.
2. Avoid leading questions that influence the respondent's answer.
3. Include closed questions (e.g., tick boxes) for easier quantitative analysis, alongside limited open questions.
4. Begin with a polite introduction explaining the purpose of the study and ensuring anonymity.
(c) Systematic sampling:
- How to conduct: Establish a rule, such as asking every 5th person who passes a designated spot (e.g., an entrance gate) to complete the survey.
- Why it is better: It reduces researcher bias (the researcher does not select people based on appearance), is quicker and easier to implement on-site than random sampling, and ensures a more even, representative spread of the population across the sampling period.
(d) Travel distance differences:
- Shoppers generally travel shorter distances to the CBD than to the Retail Park.
- For the CBD, the majority of shoppers (33 out of 50, or 66%) travel 5 km or less, whereas for the Retail Park, the majority (33 out of 50, or 66%) travel more than 5 km.
- Only 5 shoppers (10%) traveled over 10 km to the CBD, compared to 13 shoppers (26%) for the Retail Park.
(e) Evaluation of Hypothesis 1:
- Disagree with Hypothesis 1. The out-of-town retail park actually has a larger sphere of influence.
- Evidence: More people travel long distances (over 5 km) to the Retail Park (33 respondents) than to the CBD (17 respondents).
- Only 5 people travel under 2 km to the Retail Park, compared to 15 people to the CBD, showing the Retail Park draws people from much further away.
(f) (i) Divided bar graph instructions:
1. Draw a single rectangular bar representing 100% (e.g., 10 cm or 20 cm long).
2. Segment the bar into sections representing the percentages for each mode of transport: Car (85%), Train (8%), Bus (5%), and Walking (2%).
3. Color or shade each segment differently and create a clear legend/key corresponding to the shading.
(f) (ii) Reasons for transport differences:
- CBD: Located in the town center, which is highly accessible by public transport (buses, trains) and has pedestrianized zones encouraging walking. Parking is often limited, expensive, or congested, discouraging car use.
- Retail park: Located on the urban fringe near major highways/bypass roads, making it highly accessible by car. It offers extensive, free parking. It has poor pedestrian access and fewer direct public transport links.
(g) Other primary data:
1. Pedestrian footfall counts (flow maps) at various points in both locations.
2. Environmental Quality Index (EQI) surveys comparing litter, noise, air quality, and greenery.
(h) Limitations of Saturday morning in December:
- Seasonality: December is the Christmas shopping peak, so transport patterns, visitor numbers, and distances traveled may be uncharacteristically high compared to the rest of the year.
- Temporal bias: A Saturday morning only captures weekend shoppers; it excludes weekday workers, commuters, and evening visitors, leading to an unrepresentative sample of typical weekly habits.
- Weather: December weather in the UK is cold/wet, which might deter walkers or public transport users, inflating the number of car journeys.
Marking scheme
(a) Sphere of influence definition [Max 2]:
- 1 mark for 'area served by a settlement/service'.
- 1 mark for indicating relationship with distance/threshold population/catchment area.
(b) Questionnaire design [Max 3]:
- 1 mark per valid rule (e.g., clear/simple questions, avoid leading questions, include age/gender categories instead of direct questions, keep it short, polite introduction). Max 3.
(c) Systematic sampling [Max 4]:
- 1 mark for description: e.g., asking every \(n^{\text{th}}\) person (e.g. 5th, 10th).
- 1 mark for setting up a consistent point/location.
- 1 mark for avoiding researcher bias (cannot choose who to ask).
- 1 mark for ease/speed of implementation compared to random number tables in a busy street.
(d) Travel distance differences [Max 4]:
- 1 mark for noting overall trend (Retail Park shoppers travel further / CBD shoppers travel shorter distances).
- 1 mark for CBD data usage (e.g., 15 under 2km vs Retail Park's 5).
- 1 mark for Retail Park data usage (e.g., 13 over 10km vs CBD's 5).
- 1 mark for comparative synthesis (e.g., 33 out of 50 travel 5km or less for CBD, but 33 out of 50 travel more than 5km for Retail Park).
(e) Hypothesis evaluation [Max 4]:
- 1 mark for explicitly stating disagreement/rejection of Hypothesis 1.
- 1 mark for stating Retail Park has the larger sphere of influence.
- 1 mark for comparing the 'over 10 km' cohort (13 for Retail Park vs 5 for CBD).
- 1 mark for comparing the '5.1 to 10 km' cohort (20 for Retail Park vs 12 for CBD).
(f) (i) Divided bar graph [Max 3]:
- 1 mark for correct scale (total 100% represented by complete bar length).
- 1 mark for correct plotting of segments (85%, 8%, 5%, 2% in order).
- 1 mark for key/legend indicating the four categories.
(f) (ii) Reasons for transport differences [Max 4]:
- 1 mark for CBD public transport node concentration (bus/train stations nearby).
- 1 mark for CBD parking costs/congestion discouraging cars.
- 1 mark for Retail Park proximity to major roads/highways making car access easy.
- 1 mark for Retail Park providing free, abundant parking and bulky goods requiring a car trunk.
(g) Other primary data [Max 2]:
- 1 mark per valid method (e.g., Pedestrian count, Environmental Quality Assessment, land-use mapping, decibel noise levels). Max 2.
(h) Limitations [Max 4]:
- 1 mark for noting Christmas/December shopping skewing typical behavior (seasonal bias).
- 1 mark for noting weekend/Saturday morning excluding weekday profiles (temporal bias).
- 1 mark for weather conditions in December reducing walking/cycling rates.
- 1 mark for small temporal window not capturing evening retail activity.
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