A Stndy on Optimization of Land Use Structure Based on Quantitative Analysis of Ecological Footprint-A Case Study of Xuzhou City, Jiangsu Province

XI Yan-tao; NIU Kun; XUE Li-fang

doi:10.13961/j.cnki.stbctb.2014.02.060

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A Stndy on Optimization of Land Use Structure Based on Quantitative Analysis of Ecological Footprint-A Case Study of Xuzhou City, Jiangsu Province

- A Stndy on Optimization of Land Use Structure Based on Quantitative Analysis of Ecological Footprint-A Case Study of Xuzhou City, Jiangsu Province
- Bulletin of Soiland Water Conservation Vol. 33, Issue 2, Pages: 293-299(2014)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2014.02.060
  CLC：
- Published：2014
- 稿件说明：
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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：

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.

摘要

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

上升到2008年的2.57 hm

;人均生物承载力由1989年的0.580 hm

下降到2008年的0.450 hm

;人均生态赤字由1989年的0.550 hm

上升到2008年的2.100 hm

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。

Abstract

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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