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The study of PM2.5 pollution sources survey and air quality forecast/warning response at Yunlin County in 2016

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This year project implementation period from June 8, 2016 to June 7, 2017, completed 12 times discharge pipes flue gas, 5 times non-rice agricultural waste burning and 13 times dust PM2.5 sampling and chemical composition analysis, to establish the source profile , PM2.5 emission analysis, Air quality forecasting/ analysis system improvement, PM2.5 pollution source analysis in different Meteorological Parameters ,and control strategy benefit assessment. And the completion of the 10 times protection propaganda, "Press conference and PM2.5 prevention seminar", and other advocacy activities. The overall progress towards rate is 100%. In PM2.5 sources profile build achievement, this year has been establish 30 pollution sources profile, including 12 stationary sources (discharge pipes flue gas) data, 18 fugitive sources (5 pen of non-rice agricultural waste burning & 13 pen of dust) data. The results show that the emission coefficient of PM2.5 is quite large, and the large-scale boiler is very strict in the operation and control of the process, the PM2.5 emission coefficient is the lowest, and the small and medium-sized boiler PM2.5 emission factor is higher, because the maintenance of equipment maintenance and efficiency is difficult to grasp the verification, pollution should be taken seriously. The chemical composition analysis of different combustion processes, the highest proportion is sulfate (SO42-) and carbon. In addition wood boiler (Cl-, K+) and oil-fired boiler (Ni, V) is the characterized species compare with other boiler process. The non-rice agricultural waste burning PM2.5 sampling results showed the major chemical composition was organic carbon(OC), potassium(K), sulfur(S) and potassium ion(K+). Also found that the sulfate (SO42-) content was not low. The emission of PM2.5 composition, nitrate(NO3-), sulfate, elemental carbon(EC), zinc(Zn) and magnesium(Mg) was higher than rice agricultural waste, and the content of chloride was significantly lower than that of rice stem, which could distinguish PM2.5 contribution for rice and non-rice agricultural waste burning. In the dust sampling part, the PM2.5/PM10 ratio of the street dust is between 22.9 and 44.6%, showed the PM2.5 emission potential of coastal area is higher than the inland area. Street dust PM2.5 major composition was elemental carbon, aluminum(Al), organic carbon, potassium, iron(Fe) and nitrate. River dust at coastal area also has a high PM10 and PM2.5 emission potential, the PM2.5/PM10 ratio up to 77.60%, and the major composition was aluminum, organic carbon, elemental carbon. The PM2.5/PM10 ratio for the construction site dust is the lowest among the different dust types, has a smaller proportion of fine particles characterized. This year's Air Forecasting System (AQF2) improved work including the meteorological simulation Nudging optimization, the model version upgrade, the addition of pollution sources in East Asia and the river dust module update. PM2.5 forecast accuracy improved significantly, compared with the observation values are in line according to EPA model performance evaluation Standardize. And complete the PM2.5 source analysis system & display webpage, when PM2.5 event day occurred can instantly analyze contribution ratio from point source, line source, surface source, foreign transmission and large factory pollution, to provide response start reference. The short-term emission reduction strategies in PM2.5 event day, improve assessment result showed Taichung power plant reduce operation 40%, the Yunlin county PM2.5 concertation can impove up to 15%. While the Mailiao Industrial Zone down 40% can improve the Chiayi county PM2.5 concertation up to 7.8% (Yunlin county PM2.5 improvement is about 2.1-5.8%). The other is the PM2.5 control measures to assess the air quality improvement situation at Yunlin, Chiayi, and Tainan area. Take fixed sources (raw coal reduce), mobile sources (old diesel vehicles replaced) and area sources(Construction site control) for example, the average benefit of the year 2016 was 0.76 g/m3 (3.15%), 0.039 g/m3 (0.13%), and 0.134 g/m3 (0.45%). In PM2.5 propaganda, this year completed total 892 visitors of 10 times self- protection propaganda at village and elementary school. In addition the 282 times broadcast radio in 45 days, effectively warn people make self-protection when PM2.5 event occurred. Furthermore to hold "press conference" and "PM2.5 prevention seminar", show the county government determined to launch air pollution defense, promote cross-city air pollution control strategy cooperation.
Keyword
PM2.5 sources profile, Emission coefficients, Air quality forecast/analysis model, PM2.5 pollution source(Meteorological), Control strategies assessment
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