DocumentCode :
554060
Title :
Research on ANN-based assessment model of social renewability of city water resources
Author :
Weihua Zeng ; Jingjing Shi ; Jie Zhu
Author_Institution :
Sch. of Environ., Beijing Normal Univ., Beijing, China
Volume :
2
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
816
Lastpage :
820
Abstract :
As the social renewability of water resources was rarely considered in city water resources assessment, we proposed a new assessment model: ANN-based assessment model of social renewability of city water resources. And the model was applied to analyze and assess main cities in the Yellow River basin. Each process of social cycle of city water resources considered, the assessment results could well reveal the potential utilization of city water resources, and could indicate the shortcomings of water resources utilization of the target city; thus, the assessment results could play a certain role in assistant decision-making. Furthermore, an assessment model now in common use: grey relational analysis (GRA) method, was selected to validate the established model. The validation results showed good relevance between the two methods. The practice in this paper revealed that the ANN-based assessment model of social renewability of city water resources is vivid, objective, precise and rational, possessing certain versatility and practicability, as well as broad application prospects.
Keywords :
decision making; environmental science computing; grey systems; neural nets; rivers; water resources; ANN-based assessment model; Yellow River basin; assistant decision-making; city water resource utilization; city water resources assessment; grey relational analysis method; social cycle; social renewability; Analytical models; Artificial neural networks; Brain modeling; Cities and towns; Humans; Training; Water resources; Artificial Neural Network; Regeneration of water resources; Virtual City; Water resources assessment of city; Water resources renewability; Water resources social renewability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022209
Filename :
6022209
Link To Document :
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