Title :
Water Resources Renewability Assessment Based on TOPSIS
Author_Institution :
Sch. of Environ., Beijing Normal Univ., Beijing, China
Abstract :
Water resources renewability has four types, i.e. natural renewability, social renewability, water quantity renewability and water quality recovery. In this paper, a general index system of renewability assessment of surface water resources in the Yellow River Basin is built based on the concept of water resources renewability, and then the TOPSIS model is applied to assess the renewability. The results show that the regions of Upper Region of Longyang Gorge, Huangshui basin, Taohe Basin and Weihe Basin have the strongest or stronger water resources renewability, while Beiluohe Basin has the weakest water resources renewability, and the other regions have medium or weaker water resources renewability.
Keywords :
water resources; TOPSIS model; Yellow River Basin; general index system; natural renewability; social renewability; surface water resources; water quality recovery; water quantity renewability; water resources renewability assessment; Artificial intelligence; Computational intelligence; Environmental economics; Humans; Hydrology; Protection; Rivers; Water resources; TOPSIS; renewability; water resources;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.48
