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基于DPSIR模型与TOPSIS算法的吉林省土地利用系统健康诊断

发布时间:2018-06-21 21:29

  本文选题:土地利用系统 + DPSIR模型 ; 参考:《吉林农业大学学报》2017年01期


【摘要】:土地利用系统健康评价及障碍度诊断是实现土地可持续利用和科学管理的重要基础。构建基于DPSIR框架的吉林省土地利用系统健康评价模型,TOPSIS算法结合障碍度模型对其健康状况及障碍因子进行动态综合诊断。结果表明:(1)吉林省土地利用系统健康状况呈先递减后递增的总体提升态势。(2)DPSIR子系统中,C_(驱动力)、C_(状态)、C_(影响)基本呈递增态势,C_(压力)呈现"W"型变化态势,压力较大且很不稳定,C_(响应)长期处于偏低态势。(3)准则层障碍度排序历年一致,即Y_(压力)Y_(状态)Y_(影响)Y_(驱动力)Y_(响应);指标层主要障碍因子:单位耕地面积农药施用量、全社会固定资产投资增长率、土地垦殖率、地均GDP、农民人均纯收入、农业机械化水平。引入DPSIR模型可以从系统角度看待人和环境的相互关系,将其与TOPSIS算法相结合能够客观、真实反映区域土地利用系统健康动态变化。
[Abstract]:The health evaluation and obstacle diagnosis of land use system are the important foundation for the realization of sustainable land use and scientific management. The health evaluation model of Jilin land use system based on the DPSIR framework is constructed, and the TOPSIS algorithm combined with the obstacle model to make a dynamic comprehensive diagnosis of its health status and obstacle factors. The results show that: (1) Jilin Province The health status of land use system is decreasing and increasing gradually. (2) in the DPSIR subsystem, C_ (driving force), C_ (state), C_ (influence) are basically increased, and C_ (pressure) presents a "W" change situation, the pressure is large and very unstable, C_ (response) is on the low trend for a long time. (3) the standard layer obstacle degree is consistent for all the years, that is Y_ (pressure). Force) Y_ (state) Y_ (influence) Y_ (driving force) Y_ (response); the main obstacle factor of the index layer: the amount of pesticide application per unit cultivated land, the growth rate of the investment in fixed assets of the whole society, the land reclamation rate, the land average GDP, the per capita net income of the peasants, the level of agricultural mechanization. The introduction of DPSIR model can view the relationship between human and the environment from a systematic angle, and then it and T The combination of OPSIS algorithm can objectively and truly reflect the healthy and dynamic changes of the land use system in the region.
【作者单位】: 吉林农业大学经济管理学院;吉林大学地球科学学院;东北师范大学地理科学学院;
【基金】:吉林省科技发展计划项目(20140418043FG,20150418079FG) 吉林农业大学科研启动基金项目-青年启动基金(201343)
【分类号】:F301.24

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