1. 中国矿业大学资源与地球科学学院,江苏,徐州,221116
2. 六盘水师范学院矿业工程系,贵州,六盘水,553004
纸质出版:2014
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奚砚涛, 牛坤, 薛丽芳. 基于生态足迹定量分析的土地利用结构优化研究——以江苏省徐州市为例[J]. 水土保持通报, 2014,33(2):293-299.
XI Yan-tao, NIU Kun, XUE Li-fang. A Stndy on Optimization of Land Use Structure Based on Quantitative Analysis of Ecological Footprint-A Case Study of Xuzhou City, Jiangsu Province[J]. Bulletin of Soiland Water Conservation, 2014, 33(2): 293-299.
奚砚涛, 牛坤, 薛丽芳. 基于生态足迹定量分析的土地利用结构优化研究——以江苏省徐州市为例[J]. 水土保持通报, 2014,33(2):293-299. DOI: 10.13961/j.cnki.stbctb.2014.02.060.
XI Yan-tao, NIU Kun, XUE Li-fang. A Stndy on Optimization of Land Use Structure Based on Quantitative Analysis of Ecological Footprint-A Case Study of Xuzhou City, Jiangsu Province[J]. Bulletin of Soiland Water Conservation, 2014, 33(2): 293-299. DOI: 10.13961/j.cnki.stbctb.2014.02.060.
生态足迹是定量研究区域可持续发展的一种重要方法。运用生态足迹方法分析了徐州市1989-2008年生态足迹和生态承载力的动态变化
并利用生态足迹和生态承载力等指标对江苏省徐州市土地利用可持续性进行了评估。结果表明
徐州市人均生态足迹由1989年的1.13 hm
2
上升到2008年的2.57 hm
2
;人均生物承载力由1989年的0.580 hm
2
下降到2008年的0.450 hm
2
;人均生态赤字由1989年的0.550 hm
2
上升到2008年的2.100 hm
2
表明徐州市土地集约化程度低。采用线性回归模型对该区人口进行预测
采用灰色预测模型对2010-2015年的生态足迹变化情况进行了预测
在此基础上
构建了基于生态足迹方法的多目标线性规划模型
以生态赤字最小化和经济效益最大化为目标函数
设置了7个变量
制定了9个约束条件。根据模型求解优化方案
对徐州市土地利用结构进行了优化调整。
Ecological footprint method is an effective approach for quantitative evaluatation of the regional sustainable development. Dynamic changes of ecological footprint(EF) and ecological capacity(EC) were analyzed based on ecological footprint method and land use sustainability was assessed using EF
EC and other indicators of Xuzhou City
Jiangsu Province from 1999 to 2008. The results showed that the per capita ecological footprint of Xuzhou City increased from 1.13 hm2 in 1989 to 2.57 hm2 in 2008
and the per capita ecological capacity decreased from 0.58 hm2 in 1989 to 0.45 hm2 in 2008. The per capita ecological deficit increased from 0.55 hm2 in 1989 to 2.10 hm2 in 2008. Intensification of land-use is low in Xuzhou City. The author used a linear regression model to predict the population
and predicted the ecological footprint of 2010-2015 by gray prediction model. The multi-objective linear programming model was built to optimize the land use structure in Xuzhou City
which minimizes ecological deficit and maximizes economic benefits as the objective function
and sets up seven variables and nine constraints. The land use structure was optimized in Xuzhou City according to optimal scheme.
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