北京市城市热岛效应与PM2.5及PM10浓度分布关系研究
[Abstract]:With the acceleration of urbanization and industrialization in China, the influence of human factors on urban climate and air quality is becoming more and more obvious, and the problem of urban heat island effect and urban air pollution is becoming more and more prominent. Industrial production and combustion of mineral fuels release a great deal of heat, but also accompanied by a large number of atmospheric pollutant gas emissions, among which, PM2.5,PM10 pollution on the urban atmospheric environment has a great impact. These pollutants can affect the atmospheric transport process, change the vertical movement of urban atmosphere, thus affect the urban air temperature, and further affect the distribution of urban heat island. The effects of pollutants on urban heat island are different in different cities due to the different topography and landform as well as the location of pollution sources. The study of the distribution relationship between the two plays an important role in understanding the cause of the formation of urban pollution and heat island effect and the mechanism of pollutant transfer, and plays an auxiliary decision-making role in the urban layout, the location of factories and the control of air pollution. In this paper, the relationship between urban heat island effect and PM2.5,PM10 concentration distribution in Beijing is studied from the following aspects by using the data of environmental monitoring points and meteorological stations in Beijing and remote sensing data. The research contents are as follows: (1) the main air pollutants in Beijing are studied, the different pollutants in different types of monitoring sites are discussed month by month and quarterly, and the variation of pollutants in one day is analyzed. The spatial distribution of PM2.5,PM10 concentration was studied. According to the national air quality standard, the pollution grade of PM2.5,PM10 pollution area in Beijing was classified. (2) the distribution of air temperature and the intensity of heat island in Beijing were studied. The temperature and the intensity of the heat island in different seasons were analyzed, and the change of the intensity of the heat island in one day was analyzed. This paper analyzes the spatial distribution of heat island in Beijing, and classifies the heat island area in Beijing according to the relevant classification rules. (3) the correlation analysis and regression analysis between PM2.5,PM10 and main air pollutants are carried out. The correlation between PM2.5,PM10 concentration and heat island intensity data was analyzed in time and the spatial pattern of both was analyzed.
【学位授予单位】:兰州交通大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:X16;X513
【参考文献】
相关期刊论文 前10条
1 李强;吉莉;马君;何遂;张爽;司云燕;;重庆北碚地区大气污染物与气象要素的相关性分析[J];西南师范大学学报(自然科学版);2016年08期
2 王嫣然;张学霞;赵静瑶;姜群鸥;;2013—2014年北京地区PM_(2.5)时空分布规律及其与植被覆盖度关系的研究[J];生态环境学报;2016年01期
3 王靓;孟庆岩;吴俊;张佳晖;张琳琳;;2005-2014年北京市主要城建区热岛强度时空格局分析[J];地球信息科学学报;2015年09期
4 蔡庆丽;;车用乙醇汽油与大气环境保护[J];百色学院学报;2015年03期
5 刘杰;杨鹏;吕文生;;北京大气颗粒物污染特征及空间分布插值分析[J];北京科技大学学报;2014年09期
6 吴昊;王体健;方欢;马亚平;韩永秋;黄澍;姚宇昂;史均清;;南京细颗粒物对城市热岛强度的影响[J];大气科学学报;2014年04期
7 廖晓农;张小玲;王迎春;刘伟东;杜佳;赵玲慧;;北京地区冬夏季持续性雾-霾发生的环境气象条件对比分析[J];环境科学;2014年06期
8 赵晨曦;王云琦;王玉杰;张会兰;赵冰清;;北京地区冬春PM_(2.5)和PM_(10)污染水平时空分布及其与气象条件的关系[J];环境科学;2014年02期
9 彭保发;石忆邵;王贺封;王亚力;;城市热岛效应的影响机理及其作用规律——以上海市为例[J];地理学报;2013年11期
10 薛丹;李成范;雷鸣;尹京苑;;基于MODIS数据的上海市热岛效应的遥感研究[J];测绘与空间地理信息;2013年04期
相关硕士学位论文 前4条
1 覃国荣;保定市PM_(10)和PM_(2.5)污染特征研究[D];河北大学;2014年
2 李雨鸿;北京夏季高温特征、成因及其模拟研究[D];南京信息工程大学;2012年
3 胡芳芳;北京市空气污染的空间统计分析[D];首都经济贸易大学;2010年
4 荆大为;杭州湾地区城市热岛效应研究[D];南京信息工程大学;2009年
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