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基于SPCA模型的中国陕北黄土高原生态脆弱性变化的地理信息系统分析。

GIS analysis of changes in ecological vulnerability using a SPCA model in the Loess plateau of Northern Shaanxi, China.

作者信息

Hou Kang, Li Xuxiang, Zhang Jing

机构信息

School of Human Settlements and Civil Engineering, Xi'an Jiao tong University, Xi'an, 710049, China.

出版信息

Int J Environ Res Public Health. 2015 Apr 17;12(4):4292-305. doi: 10.3390/ijerph120404292.

Abstract

Changes in ecological vulnerability were analyzed for Northern Shaanxi, China using a geographic information system (GIS). An evaluation model was developed using a spatial principal component analysis (SPCA) model containing land use, soil erosion, topography, climate, vegetation and social economy variables. Using this model, an ecological vulnerability index was computed for the research region. Using natural breaks classification (NBC), the evaluation results were divided into five types: potential, slight, light, medium and heavy. The results indicate that there is greater than average optimism about the conditions of the study region, and the ecological vulnerability index (EVI) of the southern eight counties is lower than that of the northern twelve counties. From 1997 to 2011, the ecological vulnerability index gradually decreased, which means that environmental security was gradually enhanced, although there are still some places that have gradually deteriorated over the past 15 years. In the study area, government and economic factors and precipitation are the main reasons for the changes in ecological vulnerability.

摘要

利用地理信息系统(GIS)对中国陕北地区的生态脆弱性变化进行了分析。使用包含土地利用、土壤侵蚀、地形、气候、植被和社会经济变量的空间主成分分析(SPCA)模型开发了一个评估模型。利用该模型,计算了研究区域的生态脆弱性指数。采用自然断点分类法(NBC),将评估结果分为潜在、轻度、轻度、中度和重度五种类型。结果表明,对研究区域的状况存在高于平均水平的乐观态度,南部八个县的生态脆弱性指数(EVI)低于北部十二个县。1997年至2011年,生态脆弱性指数逐渐下降,这意味着环境安全逐渐增强,尽管在过去15年中仍有一些地方逐渐恶化。在研究区域,政府和经济因素以及降水是生态脆弱性变化的主要原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44c4/4410248/756ac5ef0f58/ijerph-12-04292-g001.jpg

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