星云湖流域资源环境安全评价分析研究

发布时间：2018-01-30 19:33

本文关键词： 资源环境安全社会经济发展水平耦合协调度星云湖流域　出处：《昆明理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：云南省星云湖流域随着人口的快速增长与社会经济的不断发展,自然资源与社会发展间的供需矛盾越发突出,如若不及时调整经济发展模式,减少对自然资源的依赖,极易破坏区域环境的结构和功能,对区域内人民的生产和生活将产生严重影响。本文将对星云湖流域展开相关研究,采用熵权综合评价法对该区域的资源环境安全情况以及社会经济发展水平状况进行分析和评价,然后对该区域的资源环境-社会经济发展的协调关系进行研究,为该区域资源环境保护与社会经济协调发展提供理论依据和发展建议。在实验研究中,遥感技术主要用于提取植被覆盖度、DEM、坡度等相关评价因子。地理信息系统(GIS)技术主要基于ArcGIS1 0.3平台去精确定位研究区指标数据和空间位置,对各项评价指标进行标准化处理和空间分析,之后进行指标权重叠加分析运算,最后对评价的结果进行分类处理,形成多幅空间信息的空间分布图,以便将结果进行可视化的显示。主要研究成果如下:(1)通过深入了解和调查星云湖流域的自然资源状况,遵循评价指标选取的原则及数据的可获取性,选取了温度、国土面积、耕地面积比重、水面面积、植被覆盖度、坡度、人口密度等11个评价因子,采用综合评价分析方法构建评价指标体系,通过熵权方法计算各评价因子权重,得出研究区内资源环境安全评价指数并分等定级,分别为:安全、较安全、临界安全、较不安全、很不安全五级,进而分别统计各等级分布情况,分析各等级的自然资源环境状态。(2)通过选取农村经济总收入、劳动力比重等代表社会经济发展水平的19个评价因子,构建评价指标体系和评价模型,测算了社会经济发展水平指数,指数值越高,代表社会经济发展水平越高。结合当地的实际情况,将星云湖流域的社会经济系统发展水平指数分为五级,分别是:低、较低、一般、较高、高。研究结果显示该区域的社会经济发展水平整体有待提高。(3)计算资源环境-社会经济系统耦合协调度,并参照前人对耦合协调度分级的研究建立了分级标准,对照所建立的分级标准对星云湖流域资源环境-社会经济耦合协调度进行分级,研究结果显示,资源环境-社会经济发展耦合程度整体较低,还有较大的发展空间,需要做出调整,使资源环境-社会经济向着更高协调水平发展。
[Abstract]:With the rapid growth of population and the continuous development of social economy, the contradiction between supply and demand between natural resources and social development is more and more prominent in Xingyun Lake Basin of Yunnan Province, if the economic development model is not adjusted in time. Reduce the dependence on natural resources, easily destroy the structure and function of the regional environment, and will have a serious impact on the production and life of the people in the region. The entropy weight comprehensive evaluation method is used to analyze and evaluate the security of resources and environment and the level of social and economic development in the region, and then the coordinated relationship between resources, environment and social economic development in the region is studied. In the experimental research, remote sensing technology is mainly used to extract Dem of vegetation coverage. Geographic Information system (GIS) technology is mainly based on ArcGIS1 0.3 platform to accurately locate the index data and spatial location of the study area. The evaluation indexes are standardized and spatial analysis, and then the index weight superposition analysis operation, finally the results of the evaluation of classification processing, forming a number of spatial information spatial distribution map. In order to visualize the results. The main research results are as follows: 1) through in-depth understanding and investigation of the natural resources situation of Xingyun Lake basin, follow the principle of evaluation index selection and data availability. 11 evaluation factors, such as temperature, land area, cultivated land area specific gravity, surface area, vegetation coverage, slope and population density, were selected to construct the evaluation index system. Through the entropy weight method to calculate the weight of each evaluation factor, the evaluation index of resources and environment security in the study area is classified into five levels: safety, safety, critical safety, less safety, and very unsafe. Then statistics of the distribution of each grade, analysis of the natural resources and environmental status of each grade. 2) through the selection of total rural economic income, proportion of labor force representing the level of social and economic development of 19 evaluation factors. Set up the evaluation index system and evaluation model, calculate the social and economic development level index, the higher the index value, the higher the social and economic development level. The development level index of social and economic system in Xingyun Lake basin is divided into five levels: low, low, general and high. High. The results of the study show that the overall level of socio-economic development in the region needs to be improved. According to the previous studies on the coupling coordination degree classification standard, compared with the established classification standards for the Xingyun Lake basin resources, environment and social economic coupling coordination degree classification, the results show. The coupling degree of resources, environment and social economy development is relatively low, and there is still more room for development, so it is necessary to make adjustments to make the resources, environment and society economy develop to a higher level of coordination.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F127;P208;X821

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