How to determine coastal erosion in matlab?
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Cícero Vicente
le 14 Juin 2023
Commenté : Cícero Vicente
le 17 Juin 2023
Hi good people!
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?
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Shree Harsha Kodi
le 17 Juin 2023
% Load coastline data from the shapefile
coastData = shaperead('your_coastline_file.shp');
% Extract relevant variables
meanValues = [coastData.mean];
stdDevValues = [coastData.stdDev];
% Analyze mean values
meanTrend = gradient(meanValues); % Calculate the rate of change of mean values
% Identify coastlines in erosion
erosionIndices = find(meanTrend < 0); % Find indices where mean values are decreasing
% Display results
fprintf('Coastlines in erosion:\n');
for i = 1:numel(erosionIndices)
index = erosionIndices(i);
fprintf('Coastline %d\n', index);
end
% Plot mean values and standard deviations for visualization
figure;
subplot(2, 1, 1);
plot(meanValues);
xlabel('Coastline Index');
ylabel('Mean Value');
title('Mean Values over Coastlines');
subplot(2, 1, 2);
plot(stdDevValues);
xlabel('Coastline Index');
ylabel('Standard Deviation');
title('Standard Deviation over Coastlines');
Please note that this is a general approach, and the specific interpretation of erosion may vary depending on the context and domain knowledge. You may need to fine-tune the criteria or incorporate additional factors based on your understanding of the coastal dynamics in the study area.
iska bhi code no error but data ni diya h question wale ne toh code me no error but we need relevant data ok
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