Cícero Vicente asked . 2023-07-01

How to determine coastal erosion in matlab?

 
 
I have a question that I don't know how to solve or what direction I should take. I have a chronological analysis of 73 coastlines (.shp) at Itapoá beach (Santa Catarina, Brazil), and I would like to determine which of these lines are in a state of erosion, but I don't know which variable to use as a basis. I have as data that make up the "coast" matrix: "BoundingBox", "X", "Y", "date", "mean", "stdDev", "system0x3At".
 
Ps:
 
"X" and "Y": are double data that represent the points collected in lat and long along the coast that form the coastline.
Could you guys help me?
 
 

determine-coastal-erosion-in-matlab

coastal erosion , code for erosion , beaches , Oceanography and Hydrology

Expert Answer

Kshitij Singh answered . 2025-02-12 18:25:00

To determine coastal erosion using MATLAB with your dataset, you can analyze changes in the coastline over time by comparing successive shoreline positions. Here are the steps to guide your analysis:


Steps to Analyze Coastal Erosion

1. Understand the Dataset:

  • "X" and "Y": Represent the geographical coordinates (latitude and longitude) of the coastline.
  • "date": Represents the time associated with each coastline.
  • Other variables: Could provide additional context but might not be directly related to erosion.

2. Define Erosion:

  • Coastal erosion is typically determined by a landward shift in the coastline over time.
  • Define reference points or cross-shore transects perpendicular to the baseline to quantify these shifts.

3. Load and Visualize the Data:

Use MATLAB's Mapping Toolbox to load and visualize the shapefile data.

 

% Load the shapefile
coastlines = shaperead('path_to_your_shapefile.shp');

% Plot all coastlines
figure;
hold on;
for i = 1:length(coastlines)
    plot(coastlines(i).X, coastlines(i).Y, 'DisplayName', datestr(coastlines(i).date));
end
legend('show');
xlabel('Longitude');
ylabel('Latitude');
title('Coastline Chronology');
grid on;
hold off;
 

6. Determine Erosion/Accretion:

  • Negative distances indicate erosion (landward movement).
  • Positive distances indicate accretion (seaward movement).

7. Statistical Analysis:

  • Compute mean erosion/accretion per transect or coastline.
  • Identify regions of significant erosion

 

meanErosion = mean(erosionDistances, 2); % Mean per transect
significantErosion = find(meanErosion < -threshold); % Define threshold

8. Generate Report or Visualization:

  • Highlight eroding transects on the map.
  • Create time-series plots of shoreline position for specific transects.

Key Considerations:

  • Coordinate Transformation:

    • If "X" and "Y" are in latitude/longitude, you may need to convert them to a Cartesian coordinate system (e.g., UTM) using projfwd or deg2utm for accurate distance calculations.
  • Temporal Resolution:

    • Ensure the "date" variable is properly formatted and use it to analyze changes over consistent time intervals.
  • Erosion Thresholds:

    • Define thresholds for significant erosion based on the scale of your analysis.

Tools and Functions:

  • Mapping Toolbox: For handling and visualizing shapefiles.
  • shaperead, plot, interp1: To read and interpolate data.
  • Custom Scripts: For transect generation and distance calculation.

This approach provides a framework to quantify and visualize coastal erosion. Let me know if you'd like assistance with specific steps!


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