江苏省生态红线区域生态安全评价研究

发布时间：2018-07-09 08:59

  本文选题：江苏省 + 生态红线　； 参考：《南京信息工程大学》2016年硕士论文

【摘要】：生态红线是生态安全的底线,是最为关键的生态保护区域边界,对生态红线区域必须实施最严格保护。2013年,根据自然地理特征和生态保护需求,江苏省在全省范围内率先划定了15类生态红线区域,总面积241.03万公顷,其中,陆域生态红线区域总面积228.39万公顷,占全省国土面积的22.23%。区域生态安全评价作为生态安全研究的主要内容之一,对江苏省生态红线区域进行生态安全评价可以为红线区域环境管理及决策提供科学的依据。本文以江苏省划定的陆域生态红线区域为研究对象,基于PSR模型从压力、状态、响应三方面共选取了18个评价指标进行评价指标体系的构建,利用组合赋权确定指标权重,结合GIS和遥感空间分析方法,对18个指标进行加权叠加分析,再利用综合指数法计算研究区域生态安全综合指数值,对生态红线区域生态安全进行定性定量评价,最后根据评价结果提出针对性的管控措施。研究结论主要有：(1)江苏省各市生态红线区域生态安全水平由高到低依次为：常州市、无锡市、泰州市、镇江市、淮安市、南京市、苏州市、扬州市、南通市、宿迁市、盐城市、连云港市和徐州市。各市生态红线区域的生态安全水平差异显著,按照评价等级划分,连云港市和徐州市的生态红线区域的生态安全水平较低,处于临界安全状态；泰州市、镇江市、淮安市、南京市、苏州市、扬州市、南通市、宿迁市、盐城市生态红线区域处于较安全状态；常州市和无锡市生态红线区域处于安全状态。(2)通过对压力、状态、响应层分析,发现各市生态红线区域状态层得分明显高于压力层和响应层,可见各市生态红线区域自然状态和结构状态相对较好,但是生态安全还面临着多方面的压力,需要采取相应的响应措施,以提高生态安全水平。(3)从空间分布来看,江苏省生态红线区域的生态安全水平整体上较好,不存在不安全和很不安全的地区,其中15.14%的红线区域的生态安全水平达到临界安全状态；81.24%的地区达到较安全状态；3.62%的地区达到安全状态。
[Abstract]:The ecological red line is the bottom line of ecological security. It is the most critical ecological protection area boundary. The most strict protection of the ecological red line area must be implemented for.2013 years. According to the natural geographical features and the ecological protection needs, Jiangsu province took the lead in delimiting 15 types of ecological red line area, with a total area of 2 million 410 thousand and 300 hectares, among which the land area ecological red line The area with a total area of 2 million 283 thousand and 900 hectares, which accounts for the 22.23%. regional ecological security assessment of the land area of the province as one of the main contents of the ecological security research, can provide a scientific basis for the ecological security evaluation of the red line area in Jiangsu province. This paper is based on the land area ecological red line area delimited by Jiangsu province. The domain is the research object. Based on the PSR model, 18 evaluation indexes are selected from three aspects of pressure, state and response to construct the evaluation index system. Using combination empowerment to determine index weight, combined with GIS and remote sensing spatial analysis method, the 18 indexes are weighted superposition analysis, and then the comprehensive index method is used to calculate the study area ecological security comprehensive. The ecological security of the ecological red line area is evaluated qualitatively and quantitatively. Finally, the pertinent control measures are put forward according to the evaluation results. The main conclusions are as follows: (1) the ecological security level in the ecological red line region of Jiangsu province is from high to low in order of Changzhou, Wuxi, Taizhou, Zhenjiang, Huaian, Nanjing and Suzhou. Yangzhou City, Nantong City, Suqian City, Yancheng City, Lianyungang city and Xuzhou city. The ecological security level of the ecological red line areas of each city is significantly different. According to the evaluation grade, the ecological security level of the ecological red line region of Lianyungang city and Xuzhou city is low, in the critical state of safety; Taizhou City, Zhenjiang City, Huaian City, Nanjing City, Suzhou City, Yangzhou, Nantong, Suqian, Yancheng City ecological red line area is in a safer state; Changzhou and Wuxi ecological red line area is in a safe state. (2) through the analysis of pressure, state, response layer, it is found that the state level of the ecological red line in each city is obviously higher than that of the pressure layer and response layer, and it can be seen that the ecological red line area of each city is natural. The state and structure state are relatively good, but the ecological security is still facing many pressures, and the corresponding response measures should be taken to improve the ecological security level. (3) from the spatial distribution, the ecological security level of the ecological red line area of Jiangsu province is better, and there is no unsafe and unsafe areas, of which 15.14% of the red line area is in the red line area. The ecological security level reached a critical safety state, and 81.24% of the areas reached a relatively safe state; 3.62% of the areas reached safety.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：X826
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本文编号：2108845