Discharge projection in the Yangtze River basin under different emission scenarios based on the artificial neural networks

Quaternary International

Volumn 282, Issue , 2012, Pages 113-121

  Zeng, Xiaofan ^a   Kundzewicz, Zbigniew W ^b,c   Zhou, Jianzhong ^a   Su, Buda ^d  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b POTSDAM INSTITUTE FOR CLIMATE IMPACT RESEARCH   (Germany)

^c INSTITUTE FOR AGRICULTURAL AND FOREST ENVIRONMENT   (Poland)

^d China Meteorological Administration   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DECADAL VARIATION; GREENHOUSE GAS; RIVER DISCHARGE;

CHINA; YANGTZE BASIN;

EID: 84869504157     PISSN: 10406182     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.quaint.2011.06.009     Document Type: Article

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