Titlebook: River, Sediment and Hydrological Extremes: Causes, Impacts and Management; Manish Pandey,Anil Kumar Gupta,Giuseppe Oliveto Book 2023 The E

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Flood Hazard Mapping Using Hydraulic Models and GIS: A Reviewtabase for the flood zone and hydraulic modelling software such as HEC-RAS and HEC-HMS has proven to be useful for flood assessment. GIS can accurately predict the extent of flooding and produce flood maps, as well as flood damage estimation maps and flood hazard maps. Flood hazard maps can be analy

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摘要

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Vertebra

GEM

River Water Flow Prediction Rate Based on Machine Learning Algorithms: A Case Study of Dez River, Irues of R, MAE, RMSE, NSE, and Ia were 0.995, 17.337, 60.635, 0.954, and 0.986 for the GEP model and 0.926, 26.483, 26.483, 301.3, 26.483, 26.483, 17.337, and 0.986 for the random forest model. In some of the statistical indicators, a decrease in the values in the testing stage compared to the traini

overture

专心

Drought Modeling Through Drought Indices in GIS Environment: A Case Study of Thoubal District, Manipcondition in different parts of the district, and in 2017, the whole district received a sufficient amount of precipitation and experienced a near normal condition. A comparison of the predicted results with the collected data was done, and it was observed that the crop yield is high when the near n

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Nonstationary Flood Frequency Analysis: Review of Methods and Modelsrequency analysis and future research directions in the analysis of flood extremes are briefly addressed. It is evident that nonstationarity needs to be incorporated in flood risk assessment framework for addressing the likely impacts of potential future climate change in water resources management.

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