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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/81833

    Title: 應用氣膠種類與垂直分布建立衛星氣膠光學厚度和PM濃度之關係;The relationship between AOD and PM concentration based on aerosol type and vertical distribution
    Authors: 李采縈
    Lee, Tsai-Ying
    Keywords: 細懸浮微粒;氣膠光學厚度;氣膠垂直分布;氣膠種類辨識
    Date: 2019-07-26
    Issue Date: 2019-09-03 17:14:29 (UTC+8)
    Abstract: 大氣氣膠的輻射效應是決定地球系統輻射能量收支的一個關鍵因素,與全球溫室效應及氣候變遷問題有關。大氣中的細懸浮微粒(Particulate Matter;PM2.5),是嚴重影響公眾健康的空氣污染物,特別是在近地表層的範圍。目前主要監測PM2.5濃度的方式是利用地面監測站,但地面測站的位置分佈不均且數量不足,無法提供完整空間分佈的資訊。而透過衛星遙測技術提供大範圍的氣膠分布是可行的,但衛星所提供之訊息為整層大氣之總和,須配合氣膠垂直分布,決定近地表的PM2.5濃度訊息。此外,不同氣膠種類之輻射特性具有明顯差異,為PM2.5濃度計算之重要因子,因此本文將應用前人在氣膠垂直分布之擬合結果,萃取近地表氣膠之消光係數,配合氣膠種類之辨識,藉由氣膠光學厚度(Aerosol Optical Depth ; AOD)和細懸浮微粒(PM2.5)間關係的建立,來改進衛星反演近地表PM2.5的準確性,以提供PM2.5在時間和空間變化的詳細信息。
    本研究目的在於建立內蒙古、台北和清邁地區地面站的AOD和PM2.5濃度之間的關係,分別對沙塵(DS),人為污染物(AP)和生質燃燒(BB)氣膠進行分析。從結果可以看出,對於沙塵粒子、人為污染物和生質燃燒氣膠,在地面測量的AOD和PM2.5之間的相關係數分別為0.625、0.754和0.884。將關係結果進一步應用於台灣地區MODIS AOD產品上進行驗證。與地面測站結果相互比較,其方均根誤差(RMSE)為9.685μ/m3,說明本研究所提出的衛星遙測PM2.5濃度監測方法具有很高的可行性。
    ;The radiometric effect of atmospheric aerosols is an important factor on earth radiation budget which related to the issues of global warming and climate change. Heavy loading of particulate matter (PM2.5) also has significant impact on human health, especially in the layer near surface. Currently, the ground-based measurement is primarily employed for the PM2.5 monitor, but the stationed location cannot meet the request in spatial distribution. Thus the satellite provides the total column aerosol information over wide region is usually applied, and consider the aerosol vertical distribution, to obtain near surface of PM2.5 concentration. In addition, the radiation characteristics of different aerosol types are significantly different, which is an important factor for the calculation of PM2.5 concentration. Therefore, this paper will apply the fitting result of the previous vertical distribution of aerosol, extract near-surface aerosol extinction coefficient, combined with the identification of aerosol type, based on establishment of the relationship between aerosol optical depth (AOD) and particulate matter (PM2.5), to improve accuracy of satellite retrieved near surface PM2.5. To provide detailed information in temporal and spatial of quality.
    This study intends to establish the relationship between AOD and PM concentration based on grounds station in the region of Inner Mongolia, Taipei and Chiang Mai for sampling dust (DS), anthropogenic pollutants (AP) and biomass burning (BB) aerosols respectively. It can be seen from the results that the correlation coefficients between AOD and PM based on the ground-based measurements are 0.625, 0.754 and 0.884 for DS, AP and BB respectively. The results of relationship are further applied to MODIS AOD products in Taiwan. The root mean square error (RMSE) is 9.685μ/m3 after compared with ground measurements, indicating highly feasibility of proposed approach for PM concentration monitor from satellite remote sensing.
    Appears in Collections:[遙測科技碩士學位學程] 博碩士論文

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