本文選題：氣溶膠　切入點(diǎn)：AOT　出處：《杭州電子科技大學(xué)》2015年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：伴隨著工業(yè)化和城市化的迅猛發(fā)展，大氣中的顆粒物含量增多，我國(guó)廣大地區(qū)遭遇嚴(yán)重的大氣污染，尤其是大范圍的霧霾天氣在全國(guó)范圍內(nèi)頻發(fā)。霧霾天氣是一種重要的城市氣象災(zāi)害，其對(duì)交通運(yùn)輸、工農(nóng)業(yè)生產(chǎn)以及人體健康都會(huì)帶來(lái)多重不利的影響。本文以杭州地區(qū)為例，基于MODIS數(shù)據(jù)、AERONET觀測(cè)站數(shù)據(jù)、國(guó)家氣象局以及杭州氣象站提供的地面氣象數(shù)據(jù)，對(duì)氣溶膠的光學(xué)厚度（AOT）反演和霧霾檢測(cè)方法進(jìn)行了研究，所做的主要研究工作及取得的成果如下： 1、分析了大氣AOT遙感反演的基本原理，建立了反演的數(shù)學(xué)模型，在研究6S大氣傳輸方程的基礎(chǔ)上提出了一種自定義氣溶膠類(lèi)型的確定方法，分別使用此自定義的氣溶膠類(lèi)型和6S方程中默認(rèn)的城市型氣溶膠類(lèi)型對(duì)杭州地區(qū)的大氣AOT進(jìn)行了反演，利用太陽(yáng)光度計(jì)的觀測(cè)值作為依據(jù)對(duì)反演結(jié)果進(jìn)行了檢驗(yàn)，檢驗(yàn)結(jié)果表明反演值與觀測(cè)值的相對(duì)誤差均在20%以?xún)?nèi)，采用自定義氣溶膠類(lèi)型時(shí)的反演值相對(duì)誤差比采用默認(rèn)氣溶膠類(lèi)型時(shí)的反演值相對(duì)誤差要低3%以上；反演結(jié)果說(shuō)明杭州AOT值整體略偏大，考慮到氣溶膠吸濕性增大的特點(diǎn)，該地區(qū)氣候濕潤(rùn)，與浙江氣象站提供的杭州天氣狀況較為吻合。 2、研究大氣霧霾檢測(cè)的基本原理和等級(jí)劃分標(biāo)準(zhǔn)，明確了霧霾檢測(cè)的兩個(gè)關(guān)鍵指標(biāo)能見(jiàn)度和相對(duì)濕度，使用AOT數(shù)據(jù)對(duì)能見(jiàn)度建立了估算模型，根據(jù)計(jì)算結(jié)果對(duì)模型的表達(dá)式進(jìn)行了修正，對(duì)模型的計(jì)算精度進(jìn)行檢驗(yàn)得出結(jié)論：除去個(gè)別點(diǎn)外，能見(jiàn)度的估算值與真實(shí)值的相對(duì)誤差最大不超過(guò)12%。以MOD05大氣數(shù)據(jù)和MOD07溫度數(shù)據(jù)作為數(shù)據(jù)源建立了相對(duì)濕度的遙感估算模型，重點(diǎn)提出了大氣可降水量取值的兩種加權(quán)方法，對(duì)模型進(jìn)行檢驗(yàn)，結(jié)果顯示真實(shí)值與估算值的相對(duì)誤差最小2.1%�；谀芤�(jiàn)度和相對(duì)濕度兩個(gè)指標(biāo)對(duì)2012年杭州地區(qū)的霧霾天進(jìn)行了檢測(cè)，使用2012年杭州氣象站提供的全年霧霾數(shù)據(jù)作為標(biāo)準(zhǔn)值對(duì)檢測(cè)的結(jié)果進(jìn)行了檢驗(yàn)，結(jié)果表明對(duì)清潔天和霧天的檢測(cè)準(zhǔn)確度要高于霾天的檢測(cè)準(zhǔn)確度，對(duì)輕微、輕度霾天的檢測(cè)準(zhǔn)確度要高于中度、重度霾天的檢測(cè)準(zhǔn)確度，，對(duì)春、夏季的檢測(cè)準(zhǔn)確度要高于秋、冬季的檢測(cè)準(zhǔn)確度，文章最后對(duì)霧霾檢測(cè)中可能出現(xiàn)的影響因子和檢測(cè)誤差進(jìn)行了分析。
[Abstract]:With the rapid development of industrialization and urbanization, the content of particulate matter in the atmosphere increases, and the vast areas of our country suffer from serious air pollution. Haze weather is an important urban meteorological disaster, which has many adverse effects on transportation, industry and agriculture production and human health. This paper takes Hangzhou as an example. Based on the MODIS data and the surface meteorological data provided by the National Meteorological Administration and Hangzhou Meteorological Station, the methods of aerosol optical thickness inversion and haze detection are studied. The main research work and the results obtained are as follows:. 1. The basic principle of atmospheric AOT remote sensing inversion is analyzed, and the mathematical model of inversion is established. Based on the study of 6s atmospheric transport equation, a method for determining the type of aerosol is proposed. The atmospheric AOT in Hangzhou area is inversed by using the self-defined aerosol type and the default urban aerosol type in the 6S equation, respectively. The inversion results are verified by using the observed values of the solar photometer as the basis. The test results show that the relative error between the inversion value and the observed value is within 20%, and the relative error of the inversion value using the self-defined aerosol type is more than 3% lower than that with the default aerosol type. The inversion results show that the AOT value of Hangzhou is slightly larger as a whole, considering the characteristics of the increase of aerosol moisture absorption, the climate in this area is humid, which is in good agreement with the weather condition of Hangzhou provided by Zhejiang Meteorological Station. 2. The basic principle and classification standard of atmospheric haze detection are studied, and the visibility and relative humidity of two key indexes of haze detection are defined. The visibility estimation model is established by using AOT data. According to the result of calculation, the expression of the model is modified, and the accuracy of the model is tested. The conclusion is: except for a few points, The relative error between the estimated value of visibility and the real value is not more than 12. Using MOD05 atmospheric data and MOD07 temperature data as data sources, a remote sensing estimation model of relative humidity is established, and two weighting methods for determining atmospheric precipitable water are put forward. The results show that the relative error between the real value and the estimated value is the least 2.1. Based on the two indexes of visibility and relative humidity, the haze days in Hangzhou area on 2012 are tested. The annual haze data provided by Hangzhou Meteorological Station on 2012 were used as standard values to test the results. The results showed that the detection accuracy of clean and smog days was higher than that of haze days, and it was slight. The detection accuracy of mild haze days is higher than that of moderate and severe haze days. The detection accuracy in spring and summer is higher than that in autumn and winter. Finally, the influence factors and detection errors in haze detection are analyzed.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：X513;X87

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