Distributed hydrological model using machine learning algorithm for assessing climate change impact

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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书目详细资料
主要作者:	Iqbal, Zafar
格式:	Thesis
语言:	English
出版:	2022
主题:	TA Engineering (General) Civil engineering (General)
在线阅读:	http://eprints.utm.my/id/eprint/101515/1/ZafarIqbalPSKA2022.pdf
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