摘要
为了深入研究陕西省的资源环境承载力水平,分析承载力变化趋势,文章从经济承载力、资源承载力、环境承载力3个子系统构建资源与环境承载力分析指标体系。采用熵值法确定各指标的权重,运用TOPSIS模型对该地区的资源环境承载力进行研究,同时计算出18个指标分别与资源环境承载力的灰色关联度。分析结果表明:1)2005—2008年,资源环境承载力水平呈下降趋势,2008—2010年,承载力水平上升,2010—2013年,承载力水平发展较稳定且呈微弱下降趋势,2013—2014年,承载力水平提高,总体来看,陕西省资源环境承载力呈"W"发展态势。2)经济承载力、环境承载力整体呈上升趋势,资源承载力整体呈下降趋势,同时三者最大值均未超过0.7,距最优承载力仍有一定的差距。3)采用灰色关联度计算发现,城市人口所占比例、人均粮食产量、人均日生活用水量、电力消费量、城市建成区绿化覆盖率、二三产业增加值所占比例6项指标对陕西省的资源环境承载力影响较大。
To study the carrying capacity of resource and environment in Shaatxi province, and analyzes its changing trend of carrying capacity, this paper sets up an index system from carrying capacity of economy, resource and environment. This paper also applies entropy to determine the weight of each index and TOPSIS model to study its carrying capacity of resource and environment, and calculates their grey correlation of 18 indexes with carrying capacity of resource and environment. Carrying capacity level of resource and environment descended during 2005--2008, commenced to rise in 2008--2010, slightly dropped in 2010--2013, and rose in 2013--2014, displaying a W shape. Economy and environment carrying capacity show a rising trend, but resource a falling, no more than 0.7 among their maximum values, a gap to the optimum carrying capacity. Grey correlation reveals that the six indexes have large influence over resource and environment carrying capacity in Shaanxi province, urban population proportion, crop production per capita, daily water use per capita, power consumption, urban green coverage, and added 2^nd and 3^rd industries proportion.
出处
《资源与产业》
2017年第3期53-59,共7页
Resources & Industries
关键词
资源环境承载力
熵值法
TOPSIS模型
灰色关联度
承载力分析
carrying capacity of resource and environment
entropy method
TOPSIS model
grey correlation
carrying capacity analysis
