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Dewasis Dahal

2 papers indexed

crossrefEarth2026-03-09Cited by 3

A Comprehensive Review of Machine Learning and Deep Learning Methods for Flood Inundation Mapping

Abinash Silwal, Anil Subedi, Rajee Tamrakar, Kshitij Dahal, Dewasis Dahal, Kenneth Okechukwu Ekpetere, et al.

Flood inundation mapping (FIM) is essential in disaster risk management, infrastructure planning, and climate adaptation. Traditional hydrodynamic models, such as the Hydrologic Engineering Center’s River Analysis System (HEC-RAS) and LISFLOOD-Floodplain (LISFLOOD-FP), provide ph…

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crossrefClimate2024-11-17Cited by 8

Application of Machine Learning and Hydrological Models for Drought Evaluation in Ungauged Basins Using Satellite-Derived Precipitation Data

Anjan Parajuli, Ranjan Parajuli, Mandip Banjara, Amrit Bhusal, Dewasis Dahal, Ajay Kalra

Drought is a complex environmental hazard to ecosystems and society. Decision-making on drought management options requires evaluating and predicting the extremity of future drought events. In this regard, quantifiable indices such as the standardized precipitation index (SPI), t…

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