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Supporting data for publication (Prediction of flow duration curve for ungauged basins: Machine learning and deep learning approach)
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| Created: | Oct 24, 2024 at 2:10 a.m. | |
| Last updated: | Oct 24, 2024 at 2:44 a.m. | |
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Abstract
The flow duration curve characterizes streamflow variability, crucial for river management. Constructing FDCs is challenging in areas without gauging stations. This study explores machine learning and deep learning models, including random forest, deep neural network, support vector regression, and elastic net regression, to predict FDCs in ungauged basins. Using data from streamflow stations, we predict streamflow percentiles . The models utilize various combinations of accumulated precipitation and topographic features to improve prediction accuracy.
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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