Students in Thailand did fieldwork to investigate the effects of urban sprawl taking place around their school. One group of students measured variations in water pollution in local lakes, and did an environmental quality survey in areas near the school. They concentrated their investigation on the following hypotheses: Hypothesis 1: Lakes are more polluted in areas where housing has been there longer. Hypothesis 2: The overall quality of the environment is better in the older housing area. The students selected three sites in different areas around their school to do their fieldwork. They are described in Table 8.1 below. Table 8.1 Site 1 | an area of older, more expensive housing on a secure estate Site 2 | an area of modern, cheaper housing alongside a main road Site 3 | an area where new housing was being completed
- (a)What is meant by urban sprawl?[2]
- (b)To investigate Hypothesis 1 the students did two tests to measure the pH value and clarity of the water. These two tests are described in Fig. 8.1 (Insert), which is taken from a student's fieldwork notebook. Suggest why the method to measure pH may be more reliable than the method to measure clarity.[2]
- (c)(i)The results of the tests are shown in Tables 8.2 and 8.3 (Insert). Plot the average pH value of the water at site 2 on Fig. 8.2 below. [Figure 8.2][1]
- (c)(ii)Plot the average depth of clear water at site 2 on Fig. 8.3 below. [Figure 8.3][1]
- (c)(iii)What conclusion would the students make about Hypothesis 1: Lakes are more polluted in areas where housing has been there longer? Circle your decision below and support it with evidence from Figs. 8.2 and 8.3 and Tables 8.2 and 8.3. Hypothesis is true | Hypothesis is partly true | Hypothesis is false[4]
- (c)(iv)Look again at Table 8.1. Suggest reasons to explain why the level of water pollution varies between the three sites.[2]
- (d)(i)To investigate Hypothesis 2: The overall quality of the environment is better in the older housing area, the students did an environmental quality survey at each site. Their survey sheet is shown in Fig. 8.4 (Insert). The decisions made by two students about buildings at the same site are shown in Fig. 8.5 below and opposite. Student A Site number surveyed: 2 Students' decisions on environmental quality Positive description | +2 | +1 | 0 | -1 | -2 | Negative description Buildings in good condition | ✔ | | | | | in poor condition well-designed / attractive | | | | ✓ | | poorly designed / ugly well maintained | | | ✓ | | | poorly maintained no vandalism or graffiti | | | | | ✓ | extensive vandalism or graffiti [Figure 8.5] Student B Site number surveyed: 2 Positive description | +2 | +1 | 0 | -1 | -2 | Negative description Buildings in good condition | | ✓ | | | | in poor condition well-designed / attractive | | | ✓ | | | poorly designed / ugly well maintained | | | | ✓ | | poorly maintained no vandalism or graffiti | ✓ | | | | | extensive vandalism or graffiti Suggest two reasons why the decisions made by the two students are different.[2]
- (d)(ii)Suggest two ways the group of students could have organised themselves to make sure that their results were reliable. Give a different reason for each way you suggest. Suggestion 1 | Reason Suggestion 2 | Reason[4]
- (d)(iii)Fig. 8.7 (on page 27) shows the results of the environmental quality survey at the three sites. Use the information in Fig. 8.6 below to plot the results for general features at site 2 on Fig. 8.7. Positive description | +2 | +1 | 0 | -1 | -2 | Negative description General roads and pavements are well maintained | | | ✓ | | | roads and pavements are poorly maintained few road signs or advertising boards | | | | | ✓ | lots of road signs and advertising boards lakes and streams are clean | | | | ✓ | | lakes and streams are dirty lots of insects and wildlife can be seen | | | | ✓ | | no evidence of insects and wildlife [Figure 8.6][2]
- (d)(iv)Fig. 8.7 shows that the score for condition of the buildings was the same at sites 1 and 2. Identify one other description of the buildings which also had the same score at sites 1 and 2.[1]
- (d)(v)Use data from Fig. 8.7 to calculate the difference in the total score for the Open space category between Sites 1 and 3.[1]
- (d)(vi)What conclusion would the students make about Hypothesis 2: The overall quality of the environment is better in the older housing area? Support your decision with evidence from Fig. 8.7.[4]
- (e)The students did the same environmental quality survey at another local site which had not been developed and was still covered by trees and bushes. Their completed survey sheet is shown in Fig. 8.8 (Insert). Suggest reasons for the positive scores given by the students for this site on Fig. 8.8.[4]
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Mark scheme
Marking points from the official mark scheme (May/June 2018). The mark or mark type is shown in brackets.
- [2] City / suburbs spread out / expand / grow; Affects / changes surrounding or rural area / into rural area / into outskirts / takes over villages
- [2] Digital pH meter gives a precise / accurate / specific reading / exact number; Measuring clarity is by eye / more prone to discrepancy or human error / subjective / approximate / difficult to judge
- [1] Plot 5.8 at site 2 on Fig. 2.2
- [1] Plot 35.0 at site 2 on Fig. 2.3
- [4] Hypothesis is false – 1 mark reserve; Less polluted / higher pH value / less acidic in site1 / site which has been built longest OR; More polluted / lower pH value / more acidic in site 2 or 3 / site which is newer; Clearer water / greatest depth of clear water in site 1 / site which has been built longest OR; Less clear water / less depth of clear water in site 2 or 3 / site which is newer; 1 mark maximum for paired data to compare sites e.g. (Average) pH = 6.1 at site 1 & 5.5 at site 3; (Average) depth of clear water = 38.3 cm at site 1 & 16.7 cm at site 3; Data must compare site 1 with either site 2 or site 3
- [2] Older housing (site 1) has more efficient sewage disposal / lake is cleaned; Vehicle pollutants (site 2) washed / fall into lake; Building construction (site 3) results in dirty water / building waste entering lake
- [2] Scores are subjective / personal opinion; Students live in different types of area / students from different backgrounds; Looking at different parts of the site / different buildings to make judgement; No pilot study to gain consistency
- [4] Suggestion: Work together / in pairs / individually and compare or average results; Reason: Other students check scores /agree scores / discuss what score to give / makes results less subjective / biased / consistent; Suggestion: One person in group scores the same feature in each area; Reason: More consistent results; Suggestion: Do surveys on same day / at same time / under same conditions; Reason: Comparisons between areas are more consistent; Suggestion: Spread students out / all over the site; Reason: Record quality in all parts of the site; Suggestion: Decide which buildings to look at; Reason: Comparing the same thing
- [2] Plot general features results at site 2 on Fig. 2.6; Roads / pavements = 0; Road signs = –2; Lakes / streams = -1; Insects / wildlife = -1; 4 correct = 2 marks; 2 or 3 correct = 1 mark; 1 correct = 0 (this would credit an NR response)
- [1] Vandalism / graffiti (credit either)
- [1] Difference = 11
- [4] Hypothesis is true / correct – 1 mark reserve; Site 1 has highest EQ score OR; EQ scores are lower in sites 2 / 3 OR; At site 1 all EQ scores are positive and at site 2 / 3 there are negative scores; Credit 2 marks for paired data comparing site 1 & another site e.g. Total EQ score = 27 for site 1 & -12 for site 3 / -7 for site 2; Buildings = 8 at site 1 & 5 at site 2 / 4 at site 3; Traffic = 4 x +2 at site 1 & 4 x 2 at site 2
- [4] Vegetation has not been cleared / lot of vegetation; Plenty of litter bins / notices to take litter home; Little / no traffic in the area / roads are not busy / no roads; Few people in the area / no one lives there / no human activity; No pollution of lakes / streams; Insects / wildlife are not disturbed / habitats are undisturbed; No houses / offices / shops; No credit for reference to buildings; No credit for copying positive descriptions from Fig. 2.7
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