Web-Based Geographic Information System for UWRSR Evaluations

被引:4
作者
Zeng, W. H. [1 ]
Zhang, Y. J. [1 ]
Liu, J. L. [1 ]
Yang, Z. F. [1 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Lab Environm Simulat & Pollut Control, Beijing 100875, Peoples R China
关键词
artificial neural network; regeneration of water resources; water resource social renewability; water resource renewability; web-based geographic information system; Yellow River Basin;
D O I
10.3808/jei.200700102
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The concept of Urban Water Resource Social Renewability (UWRSR) was proposed in this paper to evaluate water resource conditions from the perspective of social economy. The evaluation index system was composed of four categories including urban infrastructure, industrial water consumption, daily life water consumption, and agricultural and landscape water consumption. A mathematical model of UWRSR evaluation based on artificial neural network was developed, based on which the main cities in the Yellow River Basin were evaluated. In addition, a web-based geographic information system was constructed, with the results of evaluation being published via internet. The limitations of the municipal water management could be identified through UWRSR evaluation, which in turn would facilitate the policy makers in making decisions regarding utilization and development of urban water resources in the future. Also, the proposed system could help the public to be acquainted with the UWRSR status and facilitate related research by providing data-support sevices.
引用
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页码:75 / 81
页数:7
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