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 …

[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 Xixian Watershed is an agricultural watershed in the upper
Huaihe River basin, China, which suffers severe soil erosion. Study focus Converting the …

Social, economic and environmental assessment of urban sub-catchment flood risks using a multi-criteria approach: A case study in Mumbai City, India

S Pathak, M Liu, D Jato-Espino, C Zevenbergen - Journal of Hydrology, 2020 - Elsevier
Floods have an increasing impact on cities, encompassing the management of the water
cycle by integrating multiple disciplines of engineering, social, economic and environmental …

Application of machine learning algorithms for flood susceptibility assessment and risk management

R Madhuri, S Sistla, K Srinivasa Raju - Journal of Water and …, 2021 - iwaponline.com
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) …

Unsustainability syndrome—from meteorological to agricultural drought in arid and semi-arid regions

A Torabi Haghighi, N Abou Zaki, PM Rossi, R Noori… - Water, 2020 - mdpi.com
Water is the most important resource for sustainable agriculture in arid and semi-arid
regions, where agriculture is the mainstay for rural societies. By relating the water usage to …

Land degradation risk mapping using topographic, human-induced, and geo-environmental variables and machine learning algorithms, for the Pole-Doab watershed …

A Torabi Haghighi, H Darabi, Z Karimidastenaei… - Environmental Earth …, 2021 - Springer
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 …

[HTML][HTML] Quantitative evaluation of runoff variation and its driving forces based on multi-scale separation framework

W Guo, F Hong, H Yang, L Huang, Y Ma, H Zhou… - Journal of Hydrology …, 2022 - Elsevier
Abstract Study region The Xiangjiang River (XJR) basin, China. Study focus On multiple time
scales (annual, quarterly, and monthly), there are few comprehensive and comprehensive …

Urban flood hazard modeling using self-organizing map neural network

O Rahmati, H Darabi, AT Haghighi, S Stefanidis… - Water, 2019 - mdpi.com
Floods are the most common natural disaster globally and lead to severe damage,
especially in urban environments. This study evaluated the efficiency of a self-organizing …

Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models

H Darabi, S Mohamadi, Z Karimidastenaei, O Kisi… - Soft Computing, 2021 - Springer
Accurate modeling and prediction of suspended sediment load (SSL) in rivers have an
important role in environmental science and design of engineering structures and are vital …

Variation in physical characteristics of rainfall in Iran, determined using daily rainfall concentration index and monthly rainfall percentage index

S Kaboli, AA Hekmatzadeh, H Darabi… - Theoretical and Applied …, 2021 - Springer
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 …