Providing Quantitative and Site-Specific Decision Support for Urban Flooding Mitigation Using Machine Learning and SHAP

Author:

Ke Entong

Publisher

Elsevier BV

Reference60 articles.

1. A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction;M S G Adnan;Journal of Environmental Management,2023

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3. Assessing impact of urbanisation on surface runoff using vegetation-impervious surface-soil (V-I-S) fraction and NRCS curve number (CN) model;D Bera;Model. Earth Syst. Environ,2022

4. Causal Effect of Impervious Cover on Annual Flood Magnitude for the United States;A G Blum;Geophysical Research Letters,2019

5. Geographically Weighted Regression;C Brunsdon;Journal of the Royal Statistical Society: Series D (The Statistician),1998

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