Combining AHP with GIS for Evaluating Environmental Carrying Capacity in Shaanxi Province, China

2010 International Conference on Challenges in Environmental Science and Computer Engineering Pub Date : 2010-03-06 DOI:10.1109/CESCE.2010.25

Lijun Zhang, Jianhua Xu

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引用次数: 9

Abstract

The analytic hierarchy process (AHP) has the special advantage in multi-indexes evaluation, and geographical information system (GIS) is good at spatial analysis. Combining AHP with GIS provides an effective means for studies of regional environmental carrying capacity (ECC) evaluation. Aiming at the regional features of ecosystem of Shaanxi Province, the synthetic evaluation index system is set up including eco-elastic force, resource carrying capacity and environment carrying capacity factors. Supported by GIS, taking the city as the evaluation unit, the information system database of ECC of Shaanxi Province is established. Based on the database and evaluation system, AHP, ECC evaluation index method and spatial analysis are integrated into the ECC evaluation in the study area. The results showed that only 23% of the total land area in Shaanxi Province maintains a good or better grade of the ECC. However, 50% of the total area is of a bad or worse grade of ECC. From the spatial distribution, the ECC gradually decreased from the south to the north with exception in a few areas, which presented the obvious characteristics of terrain. It is concluded that the current status of the integral ECC of Shaanxi Province is in the bad level, and highly intense human activities speeded up the degradation of regional ecosystem in recent years.

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层次分析法与GIS相结合的陕西省环境承载力评价

层次分析法(AHP)在多指标评价方面具有特殊优势，地理信息系统(GIS)在空间分析方面具有优势。AHP与GIS的结合为区域环境承载力评价研究提供了有效的手段。针对陕西省生态系统的区域特点，建立了包括生态弹性、资源承载力和环境承载力因子在内的综合评价指标体系。在GIS的支持下，以城市为评价单位，建立了陕西省生态环境保护信息系统数据库。在数据库和评价体系的基础上，将层次分析法、ECC评价指标法和空间分析法融入到研究区ECC评价中。结果表明，陕西省只有23%的土地面积保持良好或较好的生态环境保护等级。然而，总面积的50%是坏或更差等级的ECC。从空间分布上看，除了少数区域外，ECC自南向北逐渐减少，呈现出明显的地形特征。结果表明，陕西省整体生态系统的现状处于较差水平，近年来强烈的人类活动加速了区域生态系统的退化。

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2010 International Conference on Challenges in Environmental Science and Computer Engineering

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