w w ap eP m e tr .X w om .c s er Cambridge International Examinations Cambridge Ordinary Level *0123456789* GEOGRAPHY 2217/02 For Examination from 2016 Paper 2 Geographical Skills and Investigations SPECIMEN PAPER 2 hours 15 minutes Candidates answer on the Question Paper. Additional Materials: Ruler Calculator Plain paper Protractor 1:50 000 Survey Map Extract is enclosed with this question paper. READ THESE INSTRUCTIONS FIRST Write your Centre number, candidate number and name in the spaces at the top of this page. Write in dark blue or black pen. You may use an HB pencil for any diagrams, graphs or rough working. Do not use staples, paper clips, glue or correction fluid. DO NOT WRITE IN ANY BARCODES. Section A Answer all questions. Section B Answer one question. Sketch maps and diagrams should be drawn whenever they serve to illustrate an answer. The Insert contains Photograph A for Question 3, Fig. 12 for Question 7 and Figs 17 and 22 for Question 8. The Survey Map Extract and the Insert are not required by the Examiner. At the end of the examination, fasten all your work securely together. The number of marks is given in brackets [ ] at the end of each question or part question. This document consists of 33 printed pages, 1 blank page and 1 Insert. © UCLES 2014 [Turn over 2 Section A: Geographical Skills Answer all questions in this section. 1 Study the 1:50 000 map of Bindura, Zimbabwe. (a) (i) Bindura has a sports field in grid square 2284. Give the 4-figure grid reference of a grid square that contains another of Bindura’s sports fields. [1] (ii) Bindura’s rifle range is found in 2184. Give the 6-figure grid reference of the building nearest to the rifle range. [1] (iii) Name two other leisure activities at Bindura, indicated on the map. [2] (b) (i) Measure the distance along the railway branch line, from its start at 178830 to its junction with the main line at 225855. Give your answer in kilometres. [1] (ii) How have the builders of this railway branch line tried to keep it as level as possible? [2] © UCLES 2014 2217/02/SP/16 3 (c) Study the area of Bindura bounded by the grid lines shown on Fig. 1. 19 21 88 88 84 84 19 21 Fig. 1 (i) State the map evidence for mining in this area. [3] (ii) Describe the location of settlement (including huts and staff quarters) in this area. [4] © UCLES 2014 2217/02/SP/16 [Turn over 4 (d) Study the area bounded by the grid lines as shown on Fig. 2. 16 18 92 92 89 89 16 18 Fig. 2 (i) Describe the distribution of orchard or plantation in this area. [2] (ii) Describe the Mazowe river in this area. [4] [Total: 20 marks] © UCLES 2014 2217/02/SP/16 5 TURN OVER FOR QUESTION 2 © UCLES 2014 2217/02/SP/16 [Turn over 6 2 Study Fig. 3, a climate graph for the city of Arica. Arica is in the Atacama Desert in Chile, South America. 20 rainfall (mm) 15 10 1 5 0 temperature (°C) 25 0 J F M A M J J months A S O N D Fig. 3 (a) (i) In which months does rain fall? [1] (ii) Will 0.1 mm of rain fall every September? Explain your answer. [1] (b) (i) Use the data in Table 1 to complete the climate graph for La Paz, Bolivia on Fig. 4. Table 1 months J F M A M J J A S O N D temperature (°C) 10 10 10 10 9 7 7 8 9 10 11 10 rainfall (mm) 130 105 70 50 10 5 10 15 30 40 50 90 rainfall (mm) 20 150 15 100 10 50 5 0 0 J F M A M J J months Fig. 4 © UCLES 2014 2217/02/SP/16 A S O N D temperature (°C) 25 [2] 7 (ii) Describe the differences in climate between Arica and La Paz. [2] (c) Study Fig. 5, which shows the locations of Arica and La Paz. LAKE TITICACA A Prevailing wind (January) N LA PAZ (Altitude 3658 m) D E A S T A M O C N M T N A A I N S R T S E D E PACIFIC OCEAN U A ARICA (Altitude 0 m) 0 100 200 km Fig. 5 Using Fig. 5, suggest reasons for the difference in climate between Arica and La Paz in January. [2] [Total: 8 marks] © UCLES 2014 2217/02/SP/16 [Turn over 8 3 Study Photograph A (Insert), of a river and its surroundings, and Fig. 6, which is a field sketch of the same area. river Fig. 6 (a) Describe the relief of the area shown in Photograph A. [3] © UCLES 2014 2217/02/SP/16 9 (b) (i) Annotate Fig. 6 to describe the vegetation shown in Photograph A. [3] (ii) Suggest why the slope at X has the vegetation shown. [2] [Total: 8 marks] © UCLES 2014 2217/02/SP/16 [Turn over 10 4 Study Fig. 7, which shows the main urban areas in Zambia, a country at a lower level of development in Africa. N migration to mining X area i bez r Zam Rive international boundary capital city urban areas railway main road direction of migration Lusaka migration to tourist area Lake Kariba 0 200 km Fig. 7 (a) Describe the location of the main urban areas shown on Fig. 7. [3] © UCLES 2014 2217/02/SP/16 11 (b) Study Fig. 8, a population pyramid for urban area X in Zambia. Males 12 10 8 6 Age category 75+ 70–74 65–69 60–64 55–59 50–54 45–49 40–44 35–39 30–34 25–29 20–24 15–19 10–14 5–9 0–4 Females 4 2 0 2 4 0 Percent of total population 6 8 10 12 Fig. 8 (i) What percentage of this urban population are females aged 15–19? [1] (ii) Suggest reasons for the high number of males aged 20–29. [2] (iii) Birth rates in urban areas in countries at lower levels of development are usually lower than in rural areas. Suggest reasons for this. [2] [Total: 8 marks] © UCLES 2014 2217/02/SP/16 [Turn over 12 5 Study Fig. 9, which shows world car production. Russia Canada Eastern Europe Western Europe USA South Korea China Japan India Mexico Brazil No. of cars per year 10 million 5 million 1 million Fig. 9 (a) (i) How many cars per year are produced in Russia? [1] (ii) Use Fig. 9 to list the three main car producing areas in order of output. Greatest [1] (iii) Suggest why these areas produce the most cars. [2] © UCLES 2014 2217/02/SP/16 13 (b) Study Fig. 10, which shows the location of a car factory. N residential area ||||| |||||| ||||||||||||| 0 ||||||| |||||| ||| | | | | | | | | | | | || | | || | | | | | | | || ||| power station 1 km ||||| ||||||| || || || || || || ||||||||| |||||| ||||| ||||| |||| ||| ||| ||| || || | || | ||| | || || || || || | dock floodplain tidal estuary Key |||||||||||| floodplain power line railway road car factory Fig. 10 Suggest why the car factory was built at this location. [4] [Total: 8 marks] © UCLES 2014 2217/02/SP/16 [Turn over 14 6 Study Fig. 11, which shows the amount of food aid received by several countries. 360 Kenya 340 320 300 280 260 food aid (thousand tonnes) 240 220 200 180 160 140 120 100 80 Indonesia 60 40 Sri Lanka 20 0 2003 2004 2005 year Fig. 11 © UCLES 2014 2217/02/SP/16 China 2006 15 (a) Use the data in Table 2 to complete the line for Kenya on Fig. 11. [2] Table 2 year food aid for Kenya (thousand tonnes) 2003 80 2004 120 2005 210 2006 340 (b) Describe the changes in the amount of food aid supplied to Indonesia. [3] (c) Suggest reasons for changes in the supply of food aid to countries such as those on Fig. 11. [3] [Total: 8 marks] © UCLES 2014 2217/02/SP/16 [Turn over 16 Section B: Geographical Investigations Answer one question from this section. 7 Students at a school in the Netherlands, a northern European country, investigated the microclimate around their school. This was to find out whether buildings and different types of ground surface influenced the air temperature and the relative humidity. The two hypotheses were: Hypothesis 1: Temperatures are higher nearer to the buildings. Hypothesis 2: Relative humidity is affected by vegetation on the ground. (a) The students recorded temperature and relative humidity in calm and clear conditions during November. Why were these conditions important for the investigation? [2] (b) Study the map, Fig. 12 (Insert). This shows eight sites, labelled A to H, around the school buildings. These sites were used by the students for measuring temperature and relative humidity. (i) The school’s Stevenson screen is located at Site A. Suggest two reasons why this is a good location for a Stevenson screen. 1 2 [2] © UCLES 2014 2217/02/SP/16 17 (ii) A traditional maximum-minimum thermometer is located in the Stevenson screen. Use Fig. 13 to identify maximum, minimum and present temperature shown on the thermometer. Record these in the boxes on Fig. 13. [3] °C – 25 40 – 20 35 – 15 30 – 10 Maximum temperature ...............°C 25 –5 20 0 15 5 Minimum temperature ...............°C 10 10 5 15 0 20 Present temperature ...............°C –5 25 – 10 30 – 15 35 – 20 40 – 25 Fig. 13 © UCLES 2014 2217/02/SP/16 [Turn over 18 (c) The temperature at the other seven sites was measured using a hand-held digital thermometer. The instructions from the teacher on how to use this thermometer are shown in Fig. 14, below. Readings should be taken at each site at 08.00 and 15.00 hours. Hold the digital thermometer at waist height for 30 seconds. Write the air temperature on the recording sheet. Repeat the measurement two minutes later. Calculate the average (mean) temperature of the two readings. Record this on the sheet too. Do this in the morning and in the afternoon for three days. Fig. 14 (i) Suggest one advantage of using a digital thermometer over a maximum-minimum thermometer. [1] (ii) Give one disadvantage of the method described in Fig. 14. [1] (iii) Suggest why the temperatures were taken each morning and afternoon. [1] © UCLES 2014 2217/02/SP/16 19 TURN OVER FOR QUESTION 7(d) © UCLES 2014 2217/02/SP/16 [Turn over 20 (d) Study Table 3, which shows the temperature measured at each site. Table 3 Air temperature at each site (°C) Site A B C D E F G H 32 m 2m 3m 40 m 1m 17 m 9m 2m Average temperature (08.00 and 15.00) Day 1, 08.00 5.0 5.3 5.8 5.3 5.7 5.5 5.8 6.5 5.6 Day 1, 15.00 12.0 11.8 13.0 11.6 11.5 11.8 12.0 12.3 12.0 Day 2, 08.00 3.0 3.8 3.8 3.0 3.5 2.9 3.2 3.5 3.3 Day 2, 15.00 3.0 3.4 4.4 3.4 4.6 3.3 3.3 3.8 3.6 Day 3, 08.00 3.0 3.1 4.5 2.8 4.2 3.1 2.9 3.0 3.3 Day 3, 15.00 5.0 5.9 7.0 4.6 6.2 5.1 5.3 5.8 5.6 Three day site average 5.2 5.5 6.4 5.1 5.9 5.2 5.4 5.8 Distance from building Describe the change in average temperature (08.00 and 15.00) during the three days. Support your answer with data from Table 3. [4] © UCLES 2014 2217/02/SP/16 21 average air temperature (°C) (e) The scatter graph, Fig. 15, below shows the three day average temperature at each site. 6.5 6.0 5.5 C E B F 5.0 A D 4.5 4.0 5 10 15 20 25 30 35 40 distance away from school buildings (m) Fig. 15 (i) Use the three day site average temperatures from Table 3 to complete the scatter graph for Sites G and H. [2] (ii) Draw a best fit line on Fig. 15. [1] (iii) What conclusion would the students make about Hypothesis 1: Temperatures are higher nearer to the buildings? Use evidence from Table 3 and Fig. 15 to support your answer. [4] (iv) Use Fig. 12 (Insert) to give two reasons why temperatures vary at the different sites. 1 2 [2] © UCLES 2014 2217/02/SP/16 [Turn over 22 (f) At the same times of day, the students also used a digital hygrometer to measure relative humidity at each site. The students also observed and recorded the type of ground surface. Table 4 below shows the results of the students’ measurements and observations. Table 4 Site A B C D E F G H Average relative humidity 75% 77% 76% 75% 73% 73% 75% 77% Type of ground surface grass small plants concrete tarmac concrete trees near water concrete Does the data in Table 4 show there is a higher relative humidity at the sites where there is vegetation at the ground surface? Calculate your results below and state your answer. Space for calculations and answer Average relative humidity for sites with vegetation Average relative humidity for sites without vegetation Is there a higher relative humidity at the sites where there is vegetation on the surface? Your answer [2] © UCLES 2014 2217/02/SP/16 23 (g) (i) Does the data collected by the students support Hypothesis 2: Relative humidity is affected by vegetation on the ground? State your answer and explain your decision. [2] (ii) Suggest three improvements the students could have made to their data collection methods. 1 2 3 [3] [Total: 30 marks] © UCLES 2014 2217/02/SP/16 [Turn over 24 8 Students in Italy were investigating tourism in the village of Pescasseroli in the Abruzzi National Park. They did their fieldwork during the summer holiday. They wanted to test the following hypotheses: Hypothesis 1: People of different ages visit the National Park for different reasons. Hypothesis 2: Tourism has a positive effect on the village of Pescasseroli. (a) The students used the Internet to find some information about Pescasseroli. This information is given in Fig. 16 below. Pescasseroli is a settlement of 2000 inhabitants. It is located on a wide plain surrounded by mountains, in the middle of the Abruzzi National Park. Activities in winter include downhill skiing and cross country skiing. In the summer there are many opportunities for a variety of walking and outdoor activities. There are six hotels in the settlement and 11 restaurants for visitors and residents to use. Fig. 16 (i) Which one of the following describes the Internet as a source of information? Circle your answer. Regular Sampling Secondary Tertiary [1] (ii) The students also collected primary data. What is meant by a primary source of data? [1] (iii) Give one example of a primary source of data. [1] © UCLES 2014 2217/02/SP/16 25 (b) To find out information for Hypothesis 1 the students produced a questionnaire for tourists. This is shown in Fig. 17 (Insert). (i) The results to Question T1 (i) are shown in Table 5 below. Table 5 Question T1 (i) How did you get to the National Park today? Method Number Percentage Car 56 70 Bus or Coach 17 21 Train 7 9 Bike 0 0 Use these results to complete the pie chart, Fig. 18, below. Method of transport used by tourists 0% 10 90 80 20 Car Bus or Coach Train 30 70 Bike 40 60 50 Fig. 18 [2] © UCLES 2014 2217/02/SP/16 [Turn over 26 (ii) Describe the pattern of transport shown by these results to Question T1 (i). [2] (iii) Suggest one reason for this pattern. [1] (iv) The results to Question T1 (ii) are shown in Table 6 below. Table 6 Question T1 (ii) If you came by car did you find parking difficult? Opinion about parking Number Percentage Very difficult 12 21 A little difficult 4 7 Easy 40 72 Use these results to complete the pictograph, Fig. 19, below, to show tourists’ opinions about parking in Pescasseroli. [1] Tourists’ opinions about parking Very difficult A little difficult Easy or or = 4 people Fig. 19 © UCLES 2014 2217/02/SP/16 27 (c) (i) The results to Question T2 are shown in Table 7 below. Table 7 Question T2 What is the main reason for your visit to the National Park? Main reason Number Percentage See the wildlife 20 25 Scenery 22 28 Walking 15 19 Cycling 14 17 Skiing 0 0 Other e.g. visiting friends 9 11 Use these results to complete the bar graph, Fig. 20, below. [2] Reasons for visiting the Abruzzi National Park number 25 20 15 10 5 0 other skiing cycling walking scenery wildlife Reason Fig. 20 © UCLES 2014 2217/02/SP/16 [Turn over 28 (ii) The students produced Table 8, below, in which they compared the reasons for the visit with the ages of the visitors. Table 8 Age Main reason Under 20 20–40 41–60 Over 60 Total See the wildlife 7 6 4 3 20 Scenery 6 8 3 5 22 Walking 3 7 4 1 15 Cycling 7 5 2 0 14 Skiing 0 0 0 0 0 Other e.g. visiting friends 3 2 3 1 9 Total 26 28 16 10 80 The students used the information in Table 8 to work out their conclusion to Hypothesis 1: People of different ages visit the National Park for different reasons. What conclusion would the students have made? Support your answer with evidence from Table 8. [4] (iii) Suggest how the visitors’ main reason for visiting the National Park may change at a different time of the year. [2] © UCLES 2014 2217/02/SP/16 29 (iv) The results of questions T3 and T4 in the questionnaire are shown in Tables 9 and 10 below. Table 9 Question T3 How long are you staying in the village? Length of stay Number Percentage 1 day 34 42 2–3 days 30 38 4–7 days 14 17 More than one week 2 3 Table 10 Question T4 What type of accommodation are you staying in? Type of accommodation Number Percentage None 34 42 Hotel 9 11 Youth hostel 23 29 Campsite 6 8 Villa or cottage 8 10 Explain how these results may affect tourism in the village. [3] © UCLES 2014 2217/02/SP/16 [Turn over 30 (v) The data about the gender of visitors is shown in Table 11 below. Table 11 Gender of visitors Gender Percentage Male 54 Female 46 Use the data in Table 11 to plot the percentage of visitors gender in the divided bar graph below. Key male female 10 20 30 40 50 60 70 80 90 100 % Fig. 21 [2] © UCLES 2014 2217/02/SP/16 31 TURN OVER FOR QUESTION 8(d) © UCLES 2014 2217/02/SP/16 [Turn over 32 (d) To find out information for Hypothesis 2: Tourism has a positive effect on the village of Pescasseroli, the students produced a questionnaire for residents. This is shown in Fig 22 (Insert). The results of this questionnaire are shown in Fig. 23 below. Results of questionnaire for residents (125 results) R1 R2 R3 Length of residency Opinion of main problems Residents’ views on benefits of tourism Number % Under 5 years 19 15 5–10 years 22 18 11–15 years 66 53 Over 15 years 18 14 None 50 40 Crowded 18 14 Litter 15 12 Traffic 26 21 Noisy people 16 13 Yes No Tourism related job 66% 34% Adequate tourist facilities 72% 28% Adequate parking 69% 31% Improved facilities 83% 17% Fig. 23 © UCLES 2014 2217/02/SP/16 33 What conclusion would the students make about Hypothesis 2? Support your decision with data from Fig. 23. [4] (e) Describe how the students could collect data to investigate how tourism may increase the amount of traffic in the village. [4] [Total: 30 marks] © UCLES 2014 2217/02/SP/16 34 BLANK PAGE Copyright Acknowledgements: Question 3 Photograph A Questions 4 & 5 © Sandra Bird; © UCLES. © Garrett Nagle; GCSE Geography through diagrams; Oxford University Press; 1998. Permission to reproduce items where third-party owned material protected by copyright is included has been sought and cleared where possible. Every reasonable effort has been made by the publisher (UCLES) to trace copyright holders, but if any items requiring clearance have unwittingly been included, the publisher will be pleased to make amends at the earliest possible opportunity. Cambridge International Examinations is part of the Cambridge Assessment Group. Cambridge Assessment is the brand name of University of Cambridge Local Examinations Syndicate (UCLES), which is itself a department of the University of Cambridge. © UCLES 2014 2217/02/SP/16