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成都城市雾霾成因及其治理对策研究

发布时间:2019-01-08 20:45  文章来源:笔耕文化传播
【摘要】:近几年,“雾霾”成为一个时尚的新名词,随着污染发生的频次不断的增加和污染程度的程度加重,污染面积不断的扩大,这不仅影响了人们日常生活,还危及到了人们的健康,同时也造成了巨大的经济损失。为此,本文探讨成都市雾霾成因因子,结合中国气象网、天气后报等环境气象网站查询2013—2016年成都城市雾霾监测的各类成因指数数据,分析不同成因因子的现状特征,运用聚类分析、灰色关联分析等,建立成都城市雾霾成因相关性的数学模型,结合成都市雾霾成因因子,提出与雾霾相关的治理措施,本次研究的内容和结果如下:1.从统计学方法研究出发,分析成都城市雾霾形成的可能性因素,运用各个雾霾因子的特征,得出雾霾分布具有明显的季节性,冬季发生的频率比较多,同时污染程度也比较严重,而夏季发生的频率比较少,表明雾霾与季节变化有着密切的联系。2.通过系统聚类对成都城市雾霾影响因子进行聚类分析,将成都城市雾霾影响因子划分为主要影响因子、次要影响因子和微弱影响因子3大类,将其中的主要影响因子(湿度、温度、风速、气压、SO_2、NO_2、CO、PM_(2.5)、PM_(10)、O_3、GDP、人口、汽车拥有量、耗能量、日照时间、降雨时长等)作相关性分析,得出成都城市雾霾各类主要影响因子之间的相关性系数,空气质量指数AQI与PM_(2.5)、PM_(10)、SO_2、CO、NO_2、O_3、气温、雾日天数、降雨天数、降雨量相关性强,而与风速、日照时间的相关性相对较弱。AQI与PM_(2.5)、PM_(10)、SO_2、CO、NO_2、日照时间、雾日天数、风速、气压之间呈现出明显的正相关关系,而与O_3的浓度、气温、降雨天数、降雨量之间存在明显的负相关关系。3.运用多层次线性回归分析建立成都城市雾霾成因模型,通过对成都城市雾霾成因模型的仿真性分析,获得成都市雾霾成因更正模型,并对其进行验证分析,得知成都市雾霾成因模型的准确性。4.结合成都城市建设的现状及雾霾影响因子的主要来源,参考一些学者的研究成果,提出适合于成都城市雾霾生态防治的相关性建议。
[Abstract]:In recent years, "haze" has become a new term in fashion. With the increasing frequency of pollution and the increasing degree of pollution, the area of pollution is constantly expanding, which not only affects people's daily life. It also endangers people's health and causes huge economic losses. For this reason, this paper probes into the factors of formation of haze in Chengdu, inquiring all kinds of cause index data of Chengdu city haze monitoring from 2013 to 2016, and analyzing the present situation characteristics of different factors, combining with the environmental meteorological websites such as China Meteorological Network, Weather Post report and so on. Based on cluster analysis and grey correlation analysis, this paper establishes the mathematical model of the genetic correlation of haze in Chengdu city. Combined with the haze genetic factors in Chengdu, the paper puts forward the relevant measures of governance related to haze. The contents and results of this study are as follows: 1. Based on the study of statistical methods, this paper analyzes the possible factors of the formation of haze in Chengdu city. By using the characteristics of each haze factor, it is concluded that the distribution of haze has obvious seasonality, and the frequency of occurrence in winter is more than that in winter. At the same time, the degree of pollution is serious, but the frequency of summer is less, indicating that haze is closely related to seasonal variation. 2. Based on the cluster analysis of the influencing factors of haze in Chengdu city, the influence factors of haze in Chengdu are divided into three categories: the main influencing factors, the minor influencing factors and the weak influencing factors. Temperature, wind speed, air pressure, SO_2,NO_2,CO,PM_ (2.5), PM_ (10), O _ s _ 3G _ DP, population, car ownership, energy consumption, sunshine time, rainfall duration, etc. The correlation coefficient between main influencing factors of haze in Chengdu city, air quality index AQI and PM_ (2.5), PM_ (10), SO_2,CO,NO_2,O_3, temperature, days of fog day, days of rainfall were obtained. The correlation between rainfall and wind speed and sunshine time is relatively weak. AQI and PM_ (2.5), PM_ (10), SO_2,CO,NO_2, sunshine time, days of fog day, wind speed, There was a significant positive correlation between the pressure and the concentration of O _ 3, air temperature, rainfall days and rainfall. There was a significant negative correlation between the pressure and the concentration of O _ 3, the days of rainfall and rainfall. 3. By using multilevel linear regression analysis to establish Chengdu city haze cause model, through the simulation analysis of Chengdu city haze cause model, get Chengdu city haze cause correction model, and carry on the verification analysis to it. To know the accuracy of haze genetic model in Chengdu. 4. Based on the present situation of Chengdu urban construction and the main sources of haze influencing factors, and referring to the research results of some scholars, the relevant suggestions for ecological control of haze in Chengdu are put forward.
【学位授予单位】:成都理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:X513

【参考文献】

相关期刊论文 前10条

1 陈勇;匡方毅;吴链;王米吉;;长沙市PM_(2.5)和PM_(10)质量浓度的变化特征[J];干旱环境监测;2016年01期

2 Xionghui Qiu;Lei Duan;Jian Gao;Shulan Wang;Fahe Chai;Jun Hu;Jingqiao Zhang;Yaru Yun;;Chemical composition and source apportionment of PM_(10) and PM_(2.5) in different functional areas of Lanzhou,China[J];Journal of Environmental Sciences;2016年02期

3 孙燕;严文莲;谢真珍;;2013年12月上旬江苏大范围持续性雾霾成因分析[J];环境科学与技术;2016年01期

4 冯致力;肖婷婷;陈春林;杨萱;盛连喜;张刚;;长春市净月大学城区PM_(2.5)及PM_(10)空间分布特征初步研究[J];环境科学与管理;2016年01期

5 包鹏威;牛健植;陈上杰;;室内模拟分析8种常绿景观植被对PM_(10)、PM_(2.5)的阻滞作用[J];水土保持学报;2015年06期

6 杜正;陈之江;项建强;陈良园;;杭州市临平地区PM_(2.5)和PM_(10)污染特征分析研究[J];环境科学与管理;2015年11期

7 秦建锋;窦辉;;咸阳市雾霾天气气候特征及成因分析[J];资源节约与环保;2015年09期

8 阎守政;纪德钰;李丹;苗书一;徐洁;;大连市区空气中颗粒物(PM_(10)和PM_(2.5))污染原因分析[J];中国环境管理干部学院学报;2015年04期

9 徐亚;仇猛淋;郑晨龙;田平;王广甫;张仁健;;北京市夏季大气气溶胶PM_(2.5)和PM_(10)成分特征[J];北京师范大学学报(自然科学版);2015年04期

10 欧娜音;王文;柏金凤;;哈尔滨一次罕见持续雾霾天气的成因及特征分析[J];黑龙江气象;2015年02期

相关硕士学位论文 前1条

1 陈祖怡;上海市大气颗粒物PM_(2.5)和PM_(10)中溴代阻燃剂、多环芳烃及氯代多环芳烃污染特征的研究及风险评价[D];上海大学;2013年



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