Comprehensive Evaluation of Eco-environmental Quality in Guanzhong Urban Agglomeration Based on Multi-source Remote Sensing Data

Kailei Xu, Y. Wan, Jun Chen, Jianhua Qiang
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Abstract

With the rapid development of social economy in Guanzhong urban agglomeration, the living standards of the people has been greatly improved. Because of the extensive mode of development, environmental problems have also become the cost of economic development in Guanzhong urban agglomeration. Urban agglomeration is facing a series of environmental problems, such as ecological destruction, atmospheric pollution, water shortage and so on. Focusing on these issues, multi-source remote sensing data and auxiliary data are integrated to build a comprehensive and regional eco-environmental quality assessment model. The evaluation model is established based on the combination of Fuzzy Analytical Hierarchy Process, Principal Component Analysis and Lagrange Multiplier. The results show that the quality of ecological environment in Guanzhong urban agglomeration shows a downward trend in general. The area of the eco-environmental quality index between 0.4-0.6 performs an upward trend, which transformed from other levels. The quality of ecological environment in Guanzhong urban agglomeration has gradually improved from north to south. The southern part of Guanzhong urban agglomeration is Qinling Nature Reserve, which Contains a lot of woodland and has high ecological environment quality.
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基于多源遥感数据的关中城市群生态环境质量综合评价
随着关中城市群社会经济的快速发展,人们的生活水平得到了很大的提高。由于粗放式的发展方式,环境问题也成为关中城市群经济发展的代价。城市群面临着生态破坏、大气污染、水资源短缺等一系列环境问题。针对这些问题,整合多源遥感数据和辅助数据,构建综合区域生态环境质量评价模型。采用模糊层次分析法、主成分分析法和拉格朗日乘数法相结合的方法建立了评价模型。结果表明:关中城市群生态环境质量总体呈下降趋势;生态环境质量指数在0.4 ~ 0.6区间呈上升趋势,由其他水平转化而来。关中城市群生态环境质量自北向南逐渐改善。关中城市群南部为秦岭自然保护区,林地面积大,生态环境质量高。
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