Introduction to Coastal Fieldwork

Welcome to your guide on Coastal Fieldwork! This part of your Geography course turns you into a geographical detective. Instead of just reading about waves and beaches in a textbook, you get to head out (or look at data) to see how coastal processes actually work in the real world.

In your exam, you will be asked about your own fieldwork and "unfamiliar" data (data from a place you haven't visited). This chapter covers everything from how to plan your trip to how to explain your results. Let's dive in!

Note: This chapter focuses on the investigation of coastal processes. To learn about the landforms themselves, check out the "Coastal processes and landforms" chapter.

Step 1: Planning and Hypotheses

Before you even put on your wellies, you need a plan. Every enquiry starts with a hypothesis—this is an "educated guess" that you can test.

Common coastal hypotheses:
1. "Sediment size decreases as you move further along the beach due to longshore drift."
2. "The beach profile is steeper at the back of the beach than near the shoreline."
3. "Coastal management (like groynes) significantly changes the shape of the beach."

Sampling Techniques

You can’t measure every single grain of sand on a beach! You need to use sampling to get a fair representation:

  • Systematic Sampling: Taking measurements at regular intervals (e.g., every 5 metres along a line). This is great for beach profiles.
  • Random Sampling: Using a random number generator to pick coordinates. This avoids bias but can miss important areas.
  • Stratified Sampling: Dividing the beach into "layers" (like the managed part vs. the unmanaged part) and sampling from both to compare them.

Step 2: Risk Assessment

Geography fieldwork is fun, but the coast can be dangerous. A risk assessment identifies potential hazards and how to stay safe.

Common risks and solutions:
1. The Tide: You could get cut off. Solution: Check tide tables before leaving.
2. Slippery Rocks: Risk of falling. Solution: Wear sturdy, non-slip footwear.
3. Weather: Hypothermia or sunstroke. Solution: Check the forecast; bring waterproofs or sun cream.

Step 3: Primary Data Collection

Primary data is information you collect yourself in the field. You need both quantitative (numbers) and qualitative (descriptions/opinions) techniques.

Measuring Beach Profiles (Quantitative)

A beach profile shows the "slope" of the beach from the sea to the cliffs/dunes.

The Method:
1. Use ranging poles at two different points on the beach.
2. Use a clinometer to measure the angle of the slope between the poles.
3. Measure the distance between the poles with a tape measure.
4. Repeat this at every "break of slope" (where the angle changes) to get a full cross-section.

Sediment Analysis (Quantitative)

This helps you see if longshore drift or attrition is happening.
- Size: Use callipers to measure the long axis of a pebble in millimetres (\(mm\)).
- Shape: Use a visual scale (like Power’s Scale of Roundness) to decide if a pebble is "very angular" or "well-rounded."

Environmental Quality Surveys (Qualitative)

This is a subjective measure (based on opinion). You might give a score from \( -3 \) to \( +3 \) on factors like "litter," "noise," or "beauty." This helps assess the impact of people or management on the coast.

Field Sketches and Photos

Always take annotated field sketches. An annotation isn't just a label; it explains a process.
Example: Instead of just "Cliff," write "Cliff showing signs of mechanical weathering and retreat."

Step 4: Secondary Data Collection

The syllabus requires you to use at least two secondary sources (information someone else collected). These provide context for your study.

  • Geology Maps: Use British Geological Survey (BGS) maps to see if the rocks are hard (resistant) or soft (easily eroded).
  • GIS and Google Earth: Use Geographic Information Systems (GIS) to look at satellite photos from 10 years ago and compare them to today to see how much the coast has eroded.
  • Local Reports: Council reports on coastal management plans (SMPs).

Step 5: Data Presentation

Once you have your numbers, you need to make them look clear. You might use:

  • Bar Charts: Good for comparing pebble sizes at different sites.
  • Scatter Graphs: Great for seeing if there is a correlation (link) between two things (e.g., "Does the beach get flatter as the pebbles get smaller?").
  • Pie Charts: Showing the percentage of different rock types found.
  • Radial Graphs: Can be used to show "Environmental Quality" scores across different categories.
  • Proportional Symbols: Drawing circles on a map where the size of the circle represents the number of tourists or the size of pebbles.

Quick Math Review:
To find the mean (\( \bar{x} \)), add all your pebble sizes together and divide by the number of pebbles:
\( \text{Mean} = \frac{\sum x}{n} \)

Step 6: Analysis and Conclusion

This is where you explain what your data means. You must look for links, contrasts, and comparisons.

Example Analysis: "Our scatter graph shows a positive correlation between the distance from the managed groyne and the rate of erosion. This suggests that the groyne is successfully trapping sediment."

Anomalies: Did you find a weirdly large, jagged pebble in an area where all others were small and round? That’s an anomaly. Maybe it was dropped by a tourist or fell from a recent cliff slump!

Step 7: Evaluation

Geography isn't perfect! You need to be honest about what went wrong.

  • Reliability: Did you take enough samples? If you only measured 5 pebbles, your data isn't very reliable.
  • Accuracy: Did the wind move the ranging poles? Did the tape measure sag in the middle?
  • Validity: Did your method actually answer your hypothesis?

Key Takeaway: Evaluation is about suggesting improvements. If you did it again, would you go at a different time of year? Would you use more advanced digital equipment?

Common Mistakes to Avoid

1. Confusion between "Describe" and "Explain": In fieldwork questions, "Describe" means say what the data shows (e.g., "The graph goes up"). "Explain" means say why it shows that (e.g., "because longshore drift is transporting material").

2. Forgetting Annotations: On a field sketch, a label is just a name. An annotation is a description and an explanation. Make sure your lines point exactly to what you are talking about!

3. Ignoring the "Human" side: Even in physical fieldwork, humans matter. Coastal management (hard/soft engineering) will always affect your physical data (like beach width).

Did you know? Longshore drift can move millions of tonnes of sediment along a coastline every year. This is why some beaches seem to "disappear" after a big storm!