本文選題：被動差分吸收光譜 + OMI　； 參考：《中國科學技術(shù)大學》2017年碩士論文

【摘要】：隨著我國工業(yè)化和城市化對化石能源的大量消耗,以及機動車保有量和城市人口數(shù)量的急劇膨脹,華北平原地區(qū)的主要城市上空NO_2濃度及增長率均保持在較高的水平,已成為全球重點監(jiān)測和控制的主要研究對象。由于NO_2柱濃度變化容易受到氣象等因素的影響,并不能準確的反映出區(qū)域?qū)嶋H的NO_2排放情況,而NO_2排放量對于區(qū)域排放變化具有更直接準確的展示,也是對各個排放源進行監(jiān)測、評估以及污染識別的重要指標。目前針對于NO_2排放量和排放清單的研究,主要集中于使用衛(wèi)星觀測以及衛(wèi)星數(shù)據(jù)結(jié)合模型的方法,而衛(wèi)星觀測數(shù)據(jù)容易受到云、氣溶膠等因素的影響,對對流層大氣污染物敏感度較低且空間分辨率較差,研究城市尺度區(qū)域的大氣污染物排放情況時,上述兩種方法均不能準確的反映出研究區(qū)域的排放情況,近年來,基于車載平臺的被動差分光學吸收光譜技術(shù)(differentialopticalabsorption spectroscopy,DOAS)具有高空間分辨率、對近地面大氣污染物更加敏感的優(yōu)勢,可以在一個衛(wèi)星格點內(nèi)獲取更多的數(shù)據(jù),本課題建立了基于車載DOAS數(shù)據(jù)修正OMI(ozone monitoring instrument)衛(wèi)星數(shù)據(jù)估算NO_2壽命以及NOx排放通量的方法,并以石家莊及周邊區(qū)域為研究對象,驗證了本方法的有效性。(1)研究了車載DOASNO_2數(shù)據(jù)向風場投影的方法、車載DOAS數(shù)據(jù)和OMI Level2NO_2數(shù)據(jù)產(chǎn)品網(wǎng)格化的方法以及通量和壽命估算方法的推導及簡化,并在此基礎(chǔ)上建立了基于DOAS技術(shù)修正衛(wèi)星數(shù)據(jù)的方法,以提高利用衛(wèi)星數(shù)據(jù)估算NO_2壽命及NOx排放通量的精確性。(2)以石家莊市及其周邊地區(qū)為研究目標,在基于衛(wèi)星觀測數(shù)據(jù)估算壽命及排放通量傳統(tǒng)方法的基礎(chǔ)上,評估了該修正方法對NOx排放通量的修正效果,得到觀測期間研究區(qū)域的NO_2平均壽命和NOx排放通量分別4.2h和3.6h,195.8mol/s和163.8mol/s,誤差分別為:49%和37%,此外,研究發(fā)現(xiàn)對于復(fù)合污染特征明顯、污染較為嚴重的城市,觀測時間選擇在夏季且風速分布在5～15km/h范圍內(nèi)時擬合效果最好。本文研究表明,將車載DOAS技術(shù)修正衛(wèi)星數(shù)據(jù)的方法,運用于城市尺度的NO_2壽命及NOx排放量研究中,可以彌補傳統(tǒng)上利用衛(wèi)星數(shù)據(jù)無法準確的估算出研究區(qū)域排放情況的不足,是提高估算城市NO_2壽命以及NOx排放量準確性的有效手段。
[Abstract]:With the great consumption of fossil energy by industrialization and urbanization in China, as well as the rapid expansion of vehicle ownership and urban population, the concentration and growth rate of NO_2 over the main cities in North China Plain have been maintained at a relatively high level. It has become the main research object of global monitoring and control. Because the change of NO_2 column concentration is easy to be influenced by meteorological factors, it can not accurately reflect the actual NO_2 emission in the region. However, the NO_2 emission has a more direct and accurate display for the regional emission change. It is also an important indicator for monitoring, evaluation and pollution identification of various emission sources. The current research on NO_2 emissions and emission inventories mainly focuses on the use of satellite observations and satellite data integration models, and satellite observation data are vulnerable to cloud, aerosol and other factors. The sensitivity and spatial resolution of atmospheric pollutants in troposphere are relatively low. When studying the emission of atmospheric pollutants in urban area, neither of the above two methods can accurately reflect the emission situation of the studied region. In recent years, Passive differential optical absorption spectroscopy (DOAs) based on on-board platform has the advantages of high spatial resolution, more sensitivity to near-surface air pollutants, and the ability to obtain more data within a satellite lattice. In this paper, a method of estimating NO_2 lifetime and NOx emission flux from OMI(ozone monitoring data based on on-board DOAS data is established, and Shijiazhuang and its surrounding areas are taken as research objects. The validity of this method is verified. (1) the method of vehicle DOASNO_2 data projection to wind field, the method of product gridding of vehicle DOAS data and OMI Level2NO_2 data, and the derivation and simplification of flux and life estimation method are studied. On this basis, the method of correcting satellite data based on DOAS technology is established to improve the accuracy of estimating NO_2 lifetime and NOx emission flux using satellite data. Based on the traditional methods of estimating lifetime and emission flux based on satellite observation data, the effect of the modified method on NOx emission flux is evaluated. The average lifetime of NO_2 and the emission flux of NOx in the study area during the observation period were 4.2 h and 3.6 h, respectively, with the error of 195.8 mol / s and 163.8 mol / s, respectively, with the errors of: 49% and 37%, respectively. In addition, the study found that for cities with obvious characteristics of complex pollution and serious pollution, When the observation time is chosen in summer and the wind speed distribution is in the range of 5~15km/h, the fitting effect is the best. In this paper, it is shown that the method of correcting satellite data using DOAS technology in vehicle can be used in the study of NO_2 lifetime and NOx emission on the urban scale, which can make up for the deficiency of traditional satellite data which can not accurately estimate the emission situation in the study area. It is an effective means to improve the accuracy of estimating NO_2 lifetime and NOx emissions in cities.
【學位授予單位】：中國科學技術(shù)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：X51

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本文編號：1789447