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基于全局主成分分析的罗平县资源环境承载力动态评价
引用本文:茶增芬,张翊,李银富,李佳,王振.基于全局主成分分析的罗平县资源环境承载力动态评价[J].安徽农业科学,2016(32).
作者姓名:茶增芬  张翊  李银富  李佳  王振
作者单位:1. 昆明市国土资源信息中心,云南昆明,650091;2. 云南省环境科学研究院,云南昆明,650034;3. 云南大学资源环境与地球科学学院,云南昆明,650091
基金项目:云南大学资源环境与地理科学学院学院制建设专项“云南边疆少数民族地区山地城镇建设土地开发利用模式研究”(2013CK003)。
摘    要:目的]评价罗平县资源环境承载力。方法]基于罗平县的实际情况,从资源条件、环境条件和社会经济条件3个方面选取14项指标构建评价指标体系,利用全局主成分分析方法对2005—2014年罗平县的资源环境承载力进行动态评价,并根据主成分分析结果确定影响其承载力的关键因素。结果]对罗平县资源环境承载力影响较大的是资源及环境因素;罗平县10年来各乡(镇)资源环境承载力在时序上总体呈上升趋势,各乡(镇)间的资源环境承载力空间差异较明显,差异呈减小趋势。结论]采用的全局主成分分析法将时间序列加入到评价体系中,实现了资源环境承载力动态分析的统一性和整体性,并保证了系统分析的可比性。评价结果可为研究区资源环境合理开发利用提供理论依据。

关 键 词:全局主成分分析  资源环境承载力  动态评价  罗平县

Resources and Environment Carrying Capacity Dynamic Evaluation of Luoping County Based on Global Principle Component Anal-ysis
Abstract:Objective] The aim was to evaluate dynamics of resources and environment carrying capacity in Luoping County.Method] Based on the actual situation of Luoping County, selecting 14 indicators from resource conditions, environmental conditions and social econom-ic conditions to built evaluation index system, using the method of global principal components analysis, the dynamic evaluation was conducted on resources and environment bearing capacity of ten years (2005-2014) in Luoping County, and according to the result of principal compo-nent analysis to determine the bearing capacity of the key factors. Result] The resource conditions and environmental conditions had a greater influence on the resources and environment bearing capacity of Luoping County;resources and environmentbearing capacity in 10 years showed overall rising trend, resources and environment bearing capacity had obvious spatial differences among villages ( towns), the gap was de-creased. Conclusion] This article uses the global principal component analysis ( GPCA) to introduce time sequence into the evaluation sys-tem, realizes the unity and wholeness of dynamic analysis, and guarantees thecomparability of system analysis.The evaluation results can pro-vide a certain theoretical basis for rational development, utilization and protection of resources and environment in the study area.
Keywords:Global principal component analysis  Resources and environment carrying capacity  Dynamic evaluation  Luoping County
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