Suspended sediment flux modeling with artificial neural network: An example of the Longchuanjiang River in the Upper Yangtze Catchment, China

Geomorphology

Volumn 84, Issue 1-2, 2007, Pages 111-125

  Zhu, Yun Mei ^a,b   Lu, X X ^a   Zhou, Yue ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b KUNMING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Artificial neural network; Climate variables; Suspended sediment flux; Upper Yangtze

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CATCHMENT; CLIMATE CHANGE; FLUX MEASUREMENT; INFORMATION PROCESSING; MODELING; REGRESSION ANALYSIS; SUSPENDED SEDIMENT;

ASIA; CHINA; EURASIA; FAR EAST; LONGCHUAN RIVER; YANGTZE RIVER; YUNNAN;

EID: 33846274953     PISSN: 0169555X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geomorph.2006.07.010     Document Type: Article

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