Paper 3: fieldwork

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Last updated 2:24 PM on 6/10/26
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26 Terms

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Title question for human geography fieldwork enquiry

How successful was the regeneration of Cardiff Bay?

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Title question for physical geography fieldwork enquiry

Do characteristics of River Ogmore change with distance downstream?

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Hypotheses - physical enquiry (5)

As we move downstream:

- river depth ↑

- river width ↑

- river velocity ↑

- bedload size ↓

- bedload will become more rounded

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Why was river Ogmore a suitable location for our fieldwork (data collection)?

- data can be collected in time provided

- data is not too difficult to collect, present or interpret

- data can be collected from source to mouth

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Why was river Ogmore a suitable location for our fieldwork (access to site)?

- we can access river from source to mouth

- we can drive to each site location

- we can access and egress at each sample location

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Why was river Ogmore a suitable location for our fieldwork (geographical relevance)?

- the entire long profile can be investigated

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Sampling strategies

- Random: there is no pattern to data sampling; every sample has the same probability of being chosen. Selected using random coordinates.

- Systematic: there is a pattern to data over distance or time.

- Stratified: area divided into different sections and proportionally sampled.

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What sampling strategy did we use?

Stratified, as it was representative of the whole river, not as time consuming as systematic and is easily accessible.

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Risk assessment (river Ogmore)

- sharp stones → getting bruised/cuts → avoid going near them and touching them

- slippery river bed → slipping & falling → do not run, wear suitable footwear

- waterborne diseases → getting sick → washing hands, staying clean

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How did we measure width of the river?

- we used a tape measure to measure the width of the river; we placed the tape measure just above the water line on the side of the bank.

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How did we measure sediment size & angularity?

- we used a caliper to measure the longest length of a sediment piece → consistency

- we used a qualitative scale → power scale → to measure the angularity of 5 different sediment pieces

- LIMITATION: not a huge sample size → not representative of all rocks

- IMPROVEMENT: measure the mass of rocks and only have one person measuring angularity to reduce subjectivity

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How did we measure flowrate?

- we used a hydroprop (which has a spinning structure) to measure the velocity of the river → we took measurements at 1/4, 1/2 & 3/4 of the width of the channel

- we tested the flowrate 3 times to calculate a mean and gain an accurate result

- LIMITATIONS: lots of people were in the river, which affected the flowrate. human reaction time is not perfect. conversion chart did not have every possible time. lots of rain → not representative of usual river

- IMPROVEMENTS: using a conversion chart with more values; repeat at different depths (1/5, 2/5 etc.)

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How did we present and analyse the average width of the river?

- when collecting our width data, we geolocated our recordings with GPS to accurately identify distance from the source

- in the classroom we used excel to present our data on a scatter graph

- it allowed us to easily demonstrate a relationship between the two variables (distance from source, width of river channel)

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How did we present and analyse the average depth of the river?

- we constructed a bar graph to show the relationship between depth and distance from the source clearly

- this enabled us to clearly identify differences in the rate of increase between different sites

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How did we present and analyse the average velocity of the river?

- after measuring our velocity data, we converted the flow rate into velocity using the equation: 0.0277 + (3.281/time)

- we typed up the data into excel to enable us to carry out advanced data presentation using ArcGIS

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What factors were considered when selecting a suitable aim/hypothesis?

- an estimated 70% of the world's population will live in cities by 2050

- the UN sustainable development goals highlight the need for safe, sustainable cities

- Cardiff bay because the area was previously engulfed in 1100 hectares of derelict docklands and has since received £2.4bn in investment

- this has created 16,750 new jobs, 4,800 new homes and 695,000m2 of new non-residential developments

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Hypotheses - human enquiry (3)

- there will be no drop in environmental quality along a south-north transect through Cardiff bay to Butetown

- people's opinions about Cardiff Bay will be largely positive

- there will be high levels of pedestrian movements all around the bay

- there is a wide range of land use and employment opportunities for local residents

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Why was Cardiff Bay a suitable location for our fieldwork (data collection)?

- data can be collected and provided in the time provided

- optimal for systematic data collection

- variety of data can be collected

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Why was Cardiff Bay a suitable location for our fieldwork (access to site)?

- designed for pedestrians

- low crime rates

- large scale project second only to London Dockland

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Why was Cardiff Bay a suitable location for our fieldwork (geographical relevance)?

- effect on residents

- capital of Wales

- epicentre of politics, art and sports for Wales

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Risk assessment (human enquiry)

- roads/vehicles → getting struck by vehicles → walk on designated paths, only cross roads at designated crossing points

- falling into the sea → drowning → wear suitable footwear and stay over 10m away from the coastline

- sun → sunburn → wear suncream, sunshades and a sun hat

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Does Cardiff Bay have a range of land uses? How was this data collected?

- land-use mapping

- we sampled systematically; the area was divided into six sub-areas of roughly equal size

- each group went to a different area to ensure the entire bay was sampled

- we observed and recorded the types of buildings that existed and noted the land use on an OS map and in a tally

- systematic sampling allowed us to sample the entire area to get a complete understanding

- working in groups helped reduce bias

- we only had 8 land use categories, which meant some areas were unclear

- judgements for land use were subjective

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Does Cardiff Bay have high quality land for work and play? How was this data collected?

- environmental quality assessment

- we sampled systematically along a transect from Tacoma Square by the bay heading north along Bute Street

- we stopped after 8 sample sites as we didn't have the time to sample for longer

- we used Survey123 to submit our geolocated EQA score to ensure precision

- EQA score was based on 12 different factors which we ranked on a scale of 1-5

- sampling along a transect allowed us to make comparisons between the areas that have been regenerated and those which have not

- we may have missed some changes in EQ because we sampled every 100m

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How was the public's opinion about the Cardiff Bay regeneration project gathered?

- Questionnaire

- undertook stratified sampling by gender and age all around Cardiff Bay

- we sampled members of the public and asked them whether they thought the regeneration was successful

- representative of that area, gained different perspectives

- people may not have shared their true thoughts

- answers may lack geographical knowledge

- could ask more people and ask different age groups to get different trends

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How did we present data for the EQA

- proportionate circles

- having it on a map allows each circle to correspond to a certain location

- it is difficult to see the exact score due to the size of the circle

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How did we present data for the land-use survey

- chloropleth map

- having it on a map allows easy visualisation

- harder to compare different categories

- larger areas visually overwhelm smaller areas