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Study On Characteristics Of Ozone Pollution And Emission Reduction Strategies In Harbin

Posted on:2020-11-23Degree:MasterType:Thesis
Country:ChinaCandidate:Y XuFull Text:PDF
GTID:2381330590973698Subject:Environmental engineering
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At present,the replacement of PM2.5.5 by ozone in spring and summer has become the primary pollutant affecting the air quality of China's economically developed regions?Pearl River Delta,Yangtze River Delta,Beijing-Tianjin-Hebei?.The problem of ozone pollution has attracted the attention of scholars and the government.In view of the fact that the current summer air condition may be a microcosm of the future improvement of air quality conditions,ozone is likely to replace particulate matter as the primary air pollutant in the future,so it is necessary to further strengthen the discussion of ozone pollution laws,characteristics and transformation.On July 3,2018,the Ministry of Eco-Environment issued the“Guidelines for the Analysis of Environmental Air Ozone Pollution Sources?Trial??Consultation Draft?”?hereinafter referred to as“Guidelines”?.In the face of the aggravation of ozone pollution,Harbin,as the capital city of Heilongjiang Province,urgently needs to analyze the ozone pollution law and pollution sources through ozone big data to provide scientific guidance for government ozone pollution prevention and control.This paper analyzes the spatial and temporal distribution characteristics of ozone monitoring data of 11 national control stations in Harbin from 2015 to 2018.The high ozone concentration in Harbin is concentrated in April to July.The seasonal characteristics show that the ozone concentration in spring and summer is higher than that in autumn and winter.With the anti-"weekend effect"phenomenon,the ozone change characteristics are"unimodal",and the maximum ozone concentration is between 13:00 and 16:00.The spatial distribution characteristics show that the urban ozone concentration is lower than that of the suburbs,and other urban spaces.The distribution results are similar.Through the comparison of ozone pollution levels with74 cities in China and 13 cities in Heilongjiang Province,we can understand the background and current situation of ozone pollution in Harbin.The severe ozone pollution period in Harbin in 2017 was selected as the research period,and the relationship between precursors,meteorological factors,particulate matter and ozone concentration was discussed.There is a negative correlation between ozone and nitrogen dioxide and carbon monoxide in the period of severe ozone pollution.Due to the lack of monitoring data of VOCs,the relationship between ozone and VOCs cannot be quantitatively displayed;ozone concentration is positively correlated with temperature and radiation intensity.When the humidity is between 30%and 40%and the wind speed is between 4.5m/s and 7.5m/s,the ozone concentration is higher;the correlation coefficient between PM2.5.5 and ozone in summer and winter is0.588 and-0.552,respectively.In air pollution,the interaction mechanism between particulates and ozone is more complicated.The severe ozone pollution period in Harbin in 2017 and 2018 was selected as the research period.The 48h backward trajectory,potential source and concentration weight analysis of ozone were analyzed by HYSPLIT/MeteoInfo.The results show that the low air mass in the southwest has a great influence on the ozone concentration in Harbin.The highest concentration of ozone in the lower wind direction of Daqing City in Harbin is the highest average mass concentration after the severe ozone pollution period in Harbin in 2017 and 2018.They are 163.14?g/m3 and 131.51?g/m3 respectively.The high value areas of WCWT and WPSF are mainly concentrated in Shenyang,Jilin,Siping,Changchun and other regions.The ozone pollution in Harbin is closely related to the transmission of surrounding cities.It is necessary to do a joint prevention and control work for ozone precursors with surrounding cities and formulate effective ozone prevention measures.
Keywords/Search Tags:Harbin, Ozone, temporal and spatial distribution characteristics, precursors, meteorological factors, back trajectory
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