Development of a decision-support system for rural eco-environmental management in Yongxin County, Jiangxi Province, China

被引:26
|
作者
Huang, Guo H. [1 ,2 ]
Sun, Wei [1 ]
Nie, Xiang-hui [1 ]
Qin, Xiao-sheng [3 ]
Zhang, Xiao-dong [1 ]
机构
[1] Univ Regina, Fac Engn, Regina, SK S4S 0A2, Canada
[2] N China Elect Power Univ, Chinese Res Acad Environm Sci, Beijing 10001210220, Peoples R China
[3] Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore 639798, Singapore
关键词
Decision-support system; Eco-environmental management; Two-layer; Linear programming; Farmers; Regional managers; PETROLEUM-CONTAMINATED SITES; RIVER-BASIN MANAGEMENT; WATER-RESOURCES; LAND; MODELS; IMPLEMENTATION; FARMERS; PLAIN; TECHNOLOGIES; INTEGRATION;
D O I
10.1016/j.envsoft.2009.07.010
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A two-layer DSS for rural sustainable development (DRSD) was developed for the comprehensive planning of socioeconomic development and eco-environment protection in Yongxin County, Jiangxi Province, China. The DRSD considers multiple sectors within a general decision-support framework to generate cross-sector optimal development schemes at a county scale. It integrates a dynamic database system, large-scale linear programming for regional managers, and integer linear programming for farmers, which makes a solid step toward linking farmers' microplanning with administrators' macropolicies. Yongxin, an economically relatively undeveloped and geographically relatively isolated county, was chosen as the paradigm for this DRSD application; this selection provided a good opportunity to analyze the relationships between rapid economic development, ecological destruction, and environmental deterioration within the region. The results from the representative scenario, Sustainable Development, suggested that maximization of overall economic benefits for 23 towns in Yongxin over a 15-year period, from 2007 to 2022 would require relatively small increases in agricultural and horticultural areas, significant increases in scales of livestock, poultry, sericulture, forestry, and fisheries, as well as significant increases in investment in both the secondary and the tertiary industry sectors. Future directions and implementation challenges for this type of DSS were discussed. (C) 2009 Elsevier Ltd. All rights reserved.
引用
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页码:24 / 42
页数:19
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