【摘要】：通過對長三角地區(qū)典型沿海城市(T市)的調(diào)研,利用該市環(huán)境空氣質(zhì)量自動監(jiān)測數(shù)據(jù),分析該市大氣顆粒物濃度與氣象因素,其他污染物之間的相關(guān)性。針對該市社會發(fā)展和工業(yè)特征,采集7類典型污染源,共計38個源樣品;根據(jù)實地調(diào)研,布設(shè)6個采樣點位,獲得T市四季度的環(huán)境受體樣品,共計840多個。分析污染源和受體中PM_(2.5)的19種無機元素、8種水溶性離子、2種碳組分和16種多環(huán)芳烴,研究PM_(2.5)的污染特征。利用CMB模型進(jìn)行PM_(2.5)來源解析,為長三角地區(qū)沿海城市PM_(2.5)污染特征研究提供數(shù)據(jù)支撐,據(jù)此提出合理有效的污染防治建議。主要得到以下結(jié)果:(1)長三角地區(qū)典型沿海城市(T市)PM_(10)和PM_(2.5)的濃度變化趨勢大致相同,冬季濃度最高,夏季濃度最低。顆粒物與溫度、氣壓不存在相關(guān)性,與相對濕度、風(fēng)速、能見度存在負(fù)相關(guān)性,與NO_x、SO_2和CO具有良好相關(guān)性。T市PM_(2.5)/PM_(10)的比值大于鄰近城市(溫州市和寧波市)。(2)T市城市揚塵、建筑水泥塵、道路塵以有機物(OM)、Ca、Si等為主,土壤塵以Si、Al、Fe、OM為主,煤煙塵以Ca、EC、Si、SO_4~(2-)等為主,冶金塵以Fe、Ca、OM為主,垃圾焚燒塵以O(shè)M、Ca、EC為主。該市PM_(2.5)濃度為工業(yè)區(qū)城區(qū)背景點。環(huán)境受體PM_(2.5)中OM含量最高,占23.8%;其次是SO_4~(2-)、NO_3~-和NH_4~+,分別占15.6%、15.0%和11.4%。根據(jù)環(huán)數(shù)分布、特征比值和主成分分析結(jié)果得,該市PAHs主要來自機動車尾氣、燃煤和生物質(zhì)燃燒。成年人和兒童的ILCR的年均值分別為8.02×10~(-7)和5.61×10~(-7),與日�；顒语L(fēng)險水平相似。(3)T市PM_(2.5)的首要來源是工業(yè)生產(chǎn)(占23.9%),其次是機動車尾氣(21.4%)、揚塵(19.4%)和燃煤(12.1%),其他源占23.3%。根據(jù)該市PM_(2.5)源解析結(jié)果,結(jié)合實際情況,針對工業(yè)生產(chǎn)、燃煤、機動車尾氣和揚塵等提出合理的大氣細(xì)顆粒物污染防治建議。
[Abstract]:Based on the investigation of typical coastal cities (T City) in the Yangtze River Delta, the correlation between atmospheric particulate concentration, meteorological factors and other pollutants was analyzed by using the data of automatic monitoring of ambient air quality in the city. According to the social development and industrial characteristics of the city, 7 kinds of typical pollution sources were collected, a total of 38 source samples were collected, and according to the field investigation, 6 sampling sites were set up to obtain the environmental receptor samples of T City in the fourth quarter, a total of more than 840 samples were obtained. The pollution characteristics of PM2.5 were studied by analyzing two carbon components and 16 polycyclic aromatic hydrocarbons (PAHs) from 19 kinds of inorganic elements of PM2.5 in pollution source and acceptor, including 8 kinds of water soluble ions and 8 species of water soluble ion and 16 kinds of polycyclic aromatic hydrocarbons (PAHs). The CMB model is used to analyze the source of PM2.5 in order to provide data support for the study of pollution characteristics of PM2.5 in coastal cities in the Yangtze River Delta region. Based on this, some reasonable and effective suggestions for pollution prevention and control are put forward. The main results are as follows: (1) the variation trend of PM10 and PM2.5 concentrations in typical coastal cities (T city) in Yangtze River Delta is approximately the same, the highest concentration in winter and the lowest concentration in summer. There was no correlation between particulate matter and temperature and air pressure, but a negative correlation with relative humidity, wind speed and visibility. The ratio of PM2.5 / PM10 in T city was higher than that in neighboring cities (). (2 / T city, Ningbo City), and there was a good correlation with no _ XN so _ 2 and CO. The ratio of PM _ (2.5) / PM _ (10) in T city was higher than that in adjacent cities (Wenzhou and Ningbo City). (_ 2). Construction cement dust, road dust, organic matter (OM) and CaOSi, soil dust, coal dust, CaEC-SiSO4 ~ (2-), metallurgical dust, and waste incineration dust, respectively, are mainly used in construction cement dust, organic matter (OM) and CaO4 ~ (2-), soil dust, CaEC-SiSO4 ~ (2-), and waste incineration dust, respectively. The PM2.5 concentration in the city is the background point of the industrial district. The content of OM was the highest in the environmental receptor PM2.5, accounting for 23.8, followed by the number of so _ 4- ~ (2-) and NH _ 4s _ 4, which accounted for 15.60% and 11.4%, respectively. According to the results of ring number distribution, characteristic ratio and principal component analysis, the main sources of PAHs in this city are vehicle exhaust, coal combustion and biomass combustion. The annual mean values of ILCR in adults and children were 8.02 脳 10 ~ (-7) and 5.61 脳 10 ~ (-7) respectively, which were similar to the risk level of daily activities. (3) the primary source of PM2.5 in T City was industrial production (23.9%), followed by motor vehicle exhaust (21.4%), dust (19.4%) and coal combustion (12.1%), and other sources accounted for 23.3T. Based on the analytical results of PM2.5 sources in the city and the actual situation, reasonable suggestions for the prevention and control of atmospheric fine particulate matter pollution are put forward for industrial production, coal combustion, motor vehicle exhaust gas and dust.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：X513

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相關(guān)期刊論文 前10條

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本文編號：2194717