中国重度雾霾时空分布特征及影响因子分析
发布时间：2018-08-01 16:11
【摘要】：近几年雾霾的发生程度和频次在不断提高,不仅给人们日常生活以及健康带来了严重的威胁,还给经济带来了巨大的损失。为此,本文探讨我国重度雾霾的时空分布特征,分析中国31个省份之间雾霾污染的交互影响问题以及经济、能源结构对雾霾的影响,这样可以有效地为雾霾的治理以及污染情况的控制提供一个参考的作用。本文主要用到的方法有克里金内插法、聚类分析、空间自相关、灰色关联分析,处理的数据主要包括API、气象站点数据、2.5浓度分布矢量图,结合统计年鉴数据进行多方面研究和探索,主要研究内容和结果如下:1.从统计学方法研究出发,利用克里金插值分析我国雾霾分布情况,结果表明雾霾具有明显的时空分布差异。雾霾、2.5浓度主要分布在京津冀及山东、西北北部区域,以及四川东南部、重庆。雾霾分布具有明显的季节性,冬季比较多,而夏季比较少。城市污染物浓度分布也有地区差异,2和可吸收颗粒物在北方城市的浓度比较高,而南方城市的比较低,并且也随着季节变化而变化。2.从空间区域交互影响的角度出发,运用空间自相关探讨中国31个省份之间2.5浓度的相关性,结果表明雾霾污染存在显著的空间正相关,污染聚集区分布在京津冀、长三角地区,而且随着时间推移,正相关指数处于上升趋势。为了保证结果的可靠性,进一步对主要城市的气象指标进行空间自相关分析,结果表明气象指标也存在空间正相关,并且指数变化趋势呈现不同的规律。3.在结合上述研究的基础上,采用系统聚类对中国区域进行区域划分。在2.5浓度以及气象指标存在空间正相关的基础上,对近几年的空气主要污染成分浓度进行聚类分析,最后将中国划分为5个区域。4.在区域划分的基础上,对污染区域进行研究—以天津为例。从城市的发展方面分析,利用灰色关联模型,研究天津地区社会经济活动对雾霾的影响,结果表明人类活动和雾霾天气有着紧密的联系,特别是城市人口、能源燃烧、城市绿化、环境投资、工业排放等因素与雾霾的主要污染物关联度较大。
[Abstract]:In recent years, the occurrence and frequency of haze has been increasing, which not only brings a serious threat to people's daily life and health, but also brings huge losses to the economy. Therefore, this paper discusses the spatial and temporal distribution of severe haze in China, analyzes the interaction of haze pollution among 31 provinces in China, and the effects of economy and energy structure on haze. This can effectively provide a reference for haze control and pollution control. The main methods used in this paper are Kriging interpolation, clustering analysis, spatial autocorrelation, grey correlation analysis, data processing mainly includes API, meteorological data, 2.5 concentration distribution vector chart, Combined with the statistical yearbook data to carry on many aspects research and exploration, the main research content and results are as follows: 1. Based on the statistical method, the distribution of haze in China is analyzed by Kriging interpolation. The results show that the distribution of haze is different in time and space. The concentration of haze is mainly distributed in Beijing, Tianjin, Shandong, northern northwest, southeast Sichuan and Chongqing. Haze distribution has obvious seasonality, more in winter, but less in summer. There are also regional differences in the concentration distribution of pollutants and the concentration of absorbable particulate matter in northern cities is higher than that in southern cities, and it also varies with seasonal variation. From the point of view of spatial regional interaction, the correlation of 2.5 concentration between 31 provinces in China was studied by spatial autocorrelation. The results showed that there was a significant spatial positive correlation in haze pollution, and the pollution concentration areas were distributed in Beijing-Tianjin-Hebei and Yangtze River Delta regions. And over time, the positive correlation index is on the rise. In order to ensure the reliability of the results, the spatial autocorrelation analysis of meteorological indexes in major cities is carried out. The results show that there is also a positive spatial correlation of meteorological indicators, and the trend of index changes is different. 3. On the basis of the above research, the region of China is divided by systematic clustering. On the basis of the spatial positive correlation between 2.5 concentration and meteorological index, the concentration of main air pollution components in recent years was analyzed by cluster analysis. Finally, China was divided into 5 regions. On the basis of regional division, the polluted area is studied-taking Tianjin as an example. Based on the analysis of urban development, the influence of social and economic activities on haze in Tianjin area is studied by using grey relational model. The results show that human activities are closely related to haze weather, especially urban population, energy combustion. Urban greening, environmental investment, industrial emissions and other factors are related to the main pollutants of haze.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X513
本文编号：2158117
[Abstract]:In recent years, the occurrence and frequency of haze has been increasing, which not only brings a serious threat to people's daily life and health, but also brings huge losses to the economy. Therefore, this paper discusses the spatial and temporal distribution of severe haze in China, analyzes the interaction of haze pollution among 31 provinces in China, and the effects of economy and energy structure on haze. This can effectively provide a reference for haze control and pollution control. The main methods used in this paper are Kriging interpolation, clustering analysis, spatial autocorrelation, grey correlation analysis, data processing mainly includes API, meteorological data, 2.5 concentration distribution vector chart, Combined with the statistical yearbook data to carry on many aspects research and exploration, the main research content and results are as follows: 1. Based on the statistical method, the distribution of haze in China is analyzed by Kriging interpolation. The results show that the distribution of haze is different in time and space. The concentration of haze is mainly distributed in Beijing, Tianjin, Shandong, northern northwest, southeast Sichuan and Chongqing. Haze distribution has obvious seasonality, more in winter, but less in summer. There are also regional differences in the concentration distribution of pollutants and the concentration of absorbable particulate matter in northern cities is higher than that in southern cities, and it also varies with seasonal variation. From the point of view of spatial regional interaction, the correlation of 2.5 concentration between 31 provinces in China was studied by spatial autocorrelation. The results showed that there was a significant spatial positive correlation in haze pollution, and the pollution concentration areas were distributed in Beijing-Tianjin-Hebei and Yangtze River Delta regions. And over time, the positive correlation index is on the rise. In order to ensure the reliability of the results, the spatial autocorrelation analysis of meteorological indexes in major cities is carried out. The results show that there is also a positive spatial correlation of meteorological indicators, and the trend of index changes is different. 3. On the basis of the above research, the region of China is divided by systematic clustering. On the basis of the spatial positive correlation between 2.5 concentration and meteorological index, the concentration of main air pollution components in recent years was analyzed by cluster analysis. Finally, China was divided into 5 regions. On the basis of regional division, the polluted area is studied-taking Tianjin as an example. Based on the analysis of urban development, the influence of social and economic activities on haze in Tianjin area is studied by using grey relational model. The results show that human activities are closely related to haze weather, especially urban population, energy combustion. Urban greening, environmental investment, industrial emissions and other factors are related to the main pollutants of haze.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X513
【参考文献】
相关期刊论文 前1条
1 东亚斌;段志善;;灰色关联度分辨系数的一种新的确定方法[J];西安建筑科技大学学报(自然科学版);2008年04期
，本文编号：2158117
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