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Guangwei Jia, Sheng Li, Feilong Jie, Yanyan Ge, Na Liu and Fuli Liang
This study employs the Driving Force?Pressure?State?Response (DPSR) framework to establish an evaluation index system for the water resource carrying capacity (WRCC) in the Cele?Yutian Oasis (China). Utilizing the TOPSIS and obstacle degree models, we an...
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Sheng He, Geng Niu, Xuefeng Sang, Xiaozhong Sun, Junxian Yin and Heting Chen
Accurate and reliable discharge estimation plays an important role in water resource management as well as downstream applications such as ecosystem conservation and flood control. Recently, data-driven machine learning (ML) techniques showed seemingly i...
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Behrooz Keshtegar, Jamshid Piri, Waqas Ul Hussan, Kamran Ikram, Muhammad Yaseen, Ozgur Kisi, Rana Muhammad Adnan, Muhammad Adnan and Muhammad Waseem
Reliable estimations of sediment yields are very important for investigations of river morphology and water resources management. Nowadays, soft computing methods are very helpful and famous regarding the accurate estimation of sediment loads. The presen...
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Jiahao Li, Lingli Fan, Xuzhe Chen, Chunqiao Lin, Luchi Song and Jianjun Xu
Analyzing and forecasting the Indian Summer Monsoon Rainfall (ISMR) is vital for South Asia?s socio-economic stability. Using 35 climate models from the latest generation of the Coupled Model Intercomparison Project (CMIP6) to simulate and project ISMR, ...
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Mehdi Heyrani, Abdolmajid Mohammadian, Ioan Nistor and Omerul Faruk Dursun
One of the primary steps in managing the flow in an open channel is determining its properties. Empirical equations are developed to provide further information regarding the flow in open channels. Obtaining such experimental equations is expensive and t...
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