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Quantifying the contribution of SWAT modeling and CMIP6 inputting to streamflow prediction uncertainty under climate change
C Chen, R Gan, D Feng, F Yang, Q Zuo - Journal of Cleaner Production, 2022 - Elsevier
Assessing the impacts of climate change on hydrologic systems is essential for establishing
adaptive strategies for water resources management, flood risk control, mitigation, and …
adaptive strategies for water resources management, flood risk control, mitigation, and …
Investigating the future flood and drought shifts in the transboundary srepok river basin using CMIP6 projections
Quantifying the intensity and frequency of climatic extremes under the impacts of climate
change is crucial for effective water resource management. In this study, we utilize the soil …
change is crucial for effective water resource management. In this study, we utilize the soil …
Application of machine learning algorithms for flood susceptibility assessment and risk management
Assessing floods and their likely impact in climate change scenarios will enable the
facilitation of sustainable management strategies. In this study, five machine learning (ML) …
facilitation of sustainable management strategies. In this study, five machine learning (ML) …
Social, economic and environmental assessment of urban sub-catchment flood risks using a multi-criteria approach: A case study in Mumbai City, India
Floods have an increasing impact on cities, encompassing the management of the water
cycle by integrating multiple disciplines of engineering, social, economic and environmental …
cycle by integrating multiple disciplines of engineering, social, economic and environmental …
[HTML][HTML] An alternative to the Grain for Green Program for soil and water conservation in the upper Huaihe River basin, China
C Wei, X Dong, D Yu, J Liu, G Reta, W Zhao… - Journal of Hydrology …, 2022 - Elsevier
Abstract Study region The ** using boosting machine learning algorithms in Rathnapura, Sri Lanka
Identifying flood‐prone areas is essential for preventing floods, reducing risks, and making
informed decisions. A spatial database with 595 flood inventory and 13 flood predictors were …
informed decisions. A spatial database with 595 flood inventory and 13 flood predictors were …
Towards a high-resolution modelling scheme for local-scale urban flood risk assessment based on digital aerial photogrammetry
C Jiang, Y Kang, K Qu, Y Long, Y Ma… - … of Computational Fluid …, 2023 - Taylor & Francis
With the rapid development of cities and the impact of climate change, cities located near
rivers are facing an increasingly serious flood threat. Urban flood risk prediction …
rivers are facing an increasingly serious flood threat. Urban flood risk prediction …
Variation in physical characteristics of rainfall in Iran, determined using daily rainfall concentration index and monthly rainfall percentage index
Variations in rainfall characteristics play a key role in available water resources for a country.
In this study, spatial and temporal variations in rainfall in Iran were determined using the …
In this study, spatial and temporal variations in rainfall in Iran were determined using the …
Land degradation risk map** using topographic, human-induced, and geo-environmental variables and machine learning algorithms, for the Pole-Doab watershed …
Land degradation (LD) is a complex process affected by both anthropogenic and natural
driving variables, and its prevention has become an essential task globally. The aim of the …
driving variables, and its prevention has become an essential task globally. The aim of the …