标题:Estimation of PM10 concentration changes in Shanxi province using MODIS satellite data
作者:Li, Hui; Liu, Bing; Liu, Huiyuan; Wang, Yacheng; Jia, Wei
通讯作者:Liu, B
作者机构:[Li, Hui; Liu, Bing; Jia, Wei] Shandong Univ Sci & Technol, Coll Mapping Sci & Engn, Qingdao 266510, Shandong, Peoples R China.; [Liu, Huiyuan] Shan 更多
会议名称:1st International Conference on Environment Prevention and Pollution Control Technology (EPPCT)
会议日期:NOV 09-11, 2018
来源:2018 FIRST INTERNATIONAL CONFERENCE ON ENVIRONMENT PREVENTION AND POLLUTION CONTROL TECHNOLOGY (EPPCT 2018)
出版年:2018
卷:199
期:3
DOI:10.1088/1755-1315/199/3/032078
摘要:In view of the difficulty in monitoring the concentration and distribution of large-scale regional indicators, firstly, this paper uses the deep blue algorithm to invert the aerosol optical thickness of Shanxi province in 2016. Secondly, this paper uses the results of the inversion to establish the correlation regression analysis with the PM10 mass concentration data obtained from the monitoring station obtained by the China National Environmental Monitoring Center. Then, by analyzing this model, this paper inverts the concentration and distribution characteristics of PM10 in a wide range of regions, and finally obtains the distribution characteristics of PM10 concentration in the survey area. The results show that the correlation coefficient of the regression analysis model established in this paper reaches 0.804, and the data shows a good consistency in the trend of change. This model is used to inverse large area PM10 concentration. It helps to quickly and efficiently obtain the distribution characteristics of PM10 mass concentration in this area. This will provide effective help for related research such as environmental pollution control.
收录类别:CPCI-S;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059702734&doi=10.1088%2f1755-1315%2f199%2f3%2f032078&partnerID=40&md5=78ef64e53d5d9246832aa70ca05b7edf
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