Title :
Application of assessment model based on cloud model in water resources carrying capacity in Taohe river basin
Author :
Chen Haitao ; Duan Chunqing ; Lin Qiu ; Xiaonan Chen
Author_Institution :
Dept. of Water Sci., North China Inst. of Water Conservancy & Hdroelectric Power, Zhengzhou, China
Abstract :
In order to evaluate water resources capacity, a new assessment model based on cloud theory is proposed. Considering the fuzzy and stochastic feature in assessment, the new model can realize greatly the conversion from qualitative conception to quantitative model. Take the new model into evaluation of water resources carrying capacity. Evaluation model based on cloud theory can not only show the fuzzy feature of grade, but also indicate random attribute of the degree by hyper entropy. The method is developed to evaluate water resources carrying capacity of Taohe river basin, and the results show that new evaluation methods is feasible and can effectively evaluate water resources carrying level.
Keywords :
hydrological techniques; rivers; water resources; China; Taohe River basin; assessment model; cloud theory; evaluation model; fuzzy feature; hyper entropy; stochastic feature; water resource carrying capacity; water resource carrying level; Biological system modeling; Clouds; Entropy; Generators; Indexes; Rivers; Water resources; Taohe river basin; cloud theory; evaluation methods; water resources carrying capacity;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569210