Distributed hydrological model based on machine learning algorithm: assessment of climate change impact on floods

• Main Authors: Iqbal, Zafar, Shahid, Shamsuddin, Ismail, Tarmizi, Sa’adi, Zulfaqar, Farooque, Aitazaz, Yaseen, Zaher Mundher
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/104342/1/ShamsuddinShahid2022_DistributedHydrologicalModelBasedonMachine.pdf; http://eprints.utm.my/104342/; http://dx.doi.org/10.3390/su14116620

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 spatiotemporal changes in precipitation intensity, duration and fr...