Confluent flow impacts of flood extremes in the middle Yellow River

Quaternary International

Volumn 380-381, Issue , 2015, Pages 382-390

  He, Hongming ^a   Tian, Yong Q ^b   Mu, Xingmin ^a   Zhou, Jie ^a   Li, Zhanbin ^a   Cheng, Nannan ^a,c   Zhang, Qingle ^a,c   Keo, Soksamnang ^a   Oeurng, Chantha ^d  

^a NORTHWEST A F UNIVERSITY   (China)

^b CENTRAL MICHIGAN UNIVERSITY   (United States)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^d Institute of Technology of Cambodia   (Cambodia)

Author keywords

Artificial intelligence neural network; Flood extremes; Flood frequency; Sediment transportation; The middle Yellow River

Indexed keywords

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; FLOOD FORECASTING; FLOODING; FLOW MODELING; ROUTING; SEDIMENT TRANSPORT;

CHINA; SANMENXIA RESERVOIR; YELLOW RIVER;

EID: 84940612436     PISSN: 10406182     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.quaint.2015.01.048     Document Type: Article

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