Distributed hydrological model using machine learning algorithm for assessing climate change impact
Rapid population growth, economic development, land-use modifications, and climate change are the major driving forces of growing hydrological disasters like floods and water stress. Reliable flood modelling is challenging due to the spatio-temporal changes in precipitation intensity, duration and f...
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| Format: | Thesis |
| Language: | English |
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2022
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| Online Access: | http://eprints.utm.my/101515/1/ZafarIqbalPSKA2022.pdf |