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本底站和城區(qū)站CO濃度變化特征和源貢獻(xiàn)

發(fā)布時(shí)間:2018-06-07 00:07

  本文選題:數(shù)值模擬 + 一氧化碳; 參考:《中國(guó)環(huán)境科學(xué)》2016年10期


【摘要】:采用FLEXPART大氣擴(kuò)散模式結(jié)合清單的模擬方法,通過與2010年上甸子大氣本底站和城區(qū)海淀寶聯(lián)站的CO觀測(cè)濃度的比較,研究了北京地區(qū)CO濃度變化特征,并統(tǒng)計(jì)分析了各類排放源的貢獻(xiàn)差異.研究結(jié)果表明:上甸子站和寶聯(lián)站CO模擬濃度與觀測(cè)濃度的變化趨勢(shì)基本一致,相關(guān)系數(shù)分別優(yōu)于0.74和0.45;與觀測(cè)值相比,兩站模擬濃度值偏低,模式對(duì)觀測(cè)濃度峰值模擬能力有限.利用不同源清單模擬獲得的同一站點(diǎn)CO濃度值相近,但交通、工業(yè)、民用等分類排放源對(duì)CO模擬濃度的貢獻(xiàn)差異明顯.與INTEX-B2006清單相比,利用MEIC2010排放清單模擬的寶聯(lián)站交通與工業(yè)排放貢獻(xiàn)的占比小、民用排放占比大;而上甸子站交通排放貢獻(xiàn)的占比小,民用與工業(yè)排放的貢獻(xiàn)占比大.因此,利用FLEXPART模式結(jié)合清單的模擬方法對(duì)CO濃度具有較好的模擬能力,可以較為準(zhǔn)確地反映區(qū)域大氣本底站和城區(qū)站CO濃度的變化特征;各類排放源對(duì)模擬濃度的貢獻(xiàn)不僅受到測(cè)站所在地的局地排放源影響,更與影響測(cè)站的印痕區(qū)域的排放源密切相關(guān).
[Abstract]:By using the FLEXPART atmospheric diffusion model combined with the inventory simulation method, the variation characteristics of CO concentration in Beijing are studied by comparing the CO concentrations observed in 2010 between the Shangdian atmospheric background station and the Haidian Baolian station in the urban area. The contribution of various emission sources was analyzed statistically. The results show that the simulated CO concentration in Shangdian and Baolian stations is basically consistent with the observed concentration, and the correlation coefficient is better than 0.74 and 0.45, respectively. The model has a limited ability to simulate the peak values of observed concentrations. The CO concentration of the same station obtained by using different homology inventory simulation is similar, but the contribution of classified emission sources such as traffic, industry and civil to the simulated CO concentration is significant. Compared with INTEX-B2006 inventory, the contribution of traffic and industrial emission in Baolian station simulated by MEIC2010 emission inventory is smaller than that in civil emission, while the contribution of traffic emission in Shangdian station is small, and the contribution of civil and industrial emissions is larger. Therefore, the simulation method of FLEXPART model combined with inventory has a better ability to simulate CO concentration, which can accurately reflect the variation characteristics of CO concentration in regional atmosphere background stations and urban stations. The contribution of various emission sources to the simulated concentration is not only affected by the local emission sources in the site of the station, but also closely related to the emission sources in the imprint area of the station.
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本文編號(hào):1988729

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