衛星觀測大氣氣膠參數對北京都會區地表溫度之影響;The Interactions of Aerosol Properties and Types with Land Surface Temperature from Satellite Observations in Beijing Megalopolis

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/86675

Title:	衛星觀測大氣氣膠參數對北京都會區地表溫度之影響;The Interactions of Aerosol Properties and Types with Land Surface Temperature from Satellite Observations in Beijing Megalopolis
Authors:	馬狄菈;Marpaung, Debora Truly
Contributors:	遙測科技碩士學位學程
Keywords:	: 地表溫度;氣膠特性;氣膠性的區別;都市熱島強度
Date:	2021-07-21
Issue Date:	2021-12-07 13:06:25 (UTC+8)
Publisher:	國立中央大學
Abstract:	空氣汙染除了對人體健康有影響之外，通過改變不同比例的輻射量促使地表溫度(LST)變化，不僅在地表能量和水的物理過程中扮演了平衡，作為氣候變化中也發揮至關重要的作用。在過去十年，許多城市進入快速城市化的進展，導致能源不斷地被消耗造成空氣汙染的增加。許多空氣汙染與LST的研究再進行中，但對於氣膠散射/吸收特性的研究仍然不足。本研究以北京大都會帶為例，利用MODIS產品代表空氣汙染的氣膠特性分析與LST之間的相互作用。通過氣膠光學厚度 (AOD) 的一階和二階微分，在氣膠粒徑分布與吸收特性方面針對各種土地覆蓋/土地利用進行詳細探討。結果顯示，在城市、郊區、農村地區，隨著氣膠濃度上升，LST在夏季、冬季、春季都有下降的趨勢。然而，在區分氣膠類型後發現，生質燃燒 (BB) 與農村地區的LST以及每個次要地區的礦物粉塵 (BB) 皆呈現正相關，而人為汙染物 (AP) 則降低了進來太陽輻射的散射使地表溫度下降。結果也顯示，區分後的氣膠可以更清楚的理解與量化氣膠對地表溫度和城市熱島強度變化的影響。這些發現可以用於改善預測的氣候模型與環境可適性、氣候變化以及生態系統的永續發展。;In addition to the human health impacts, air pollution also induces Land Surface Temperature (LST) which plays important roles as an essential climate variable in the physical processes of surface energy and water balance by altering the radiation proportion. In the last decade, many cities experienced rapid urbanization that made the increasing number of energy consumption which resulted in a severe air pollution. Many studies have been conducted to see the effect of air pollution on LST but still remain unclear due to the lack of aerosol scattering/absorption property. Taking the cases in Beijing megalopolis, this study aims to analyzing the interactions between aerosol properties which represents the air pollution and LST by using MODIS products. The detailed investigations have been examined in various land cover/ land use in terms of the aerosol particle size distribution and absorption properties through the first and second order derivatives of spectral aerosol optical depth (AOD). The result showed that LST has a decreasing tendency as the loading of aerosol increasing in summer, winter and spring season over urban, suburban and rural regions. However, after discriminating the aerosol type, it was found out that biomass burning (BB) type have positive correlation with LST in rural area as well as mineral must (DS) in every subset area while anthropogenic pollutant (AP) diminished the surface temperature by scattering the incoming solar radiation. The results also indicate that the discriminated aerosols can better understand and quantify the aerosol impact on the variations of land surface temperature and urban heat island intensity. These findings could be used for improving the weather model in forecast as well as adapting environment and climate change and the development of the sustainable ecosystem.
Appears in Collections:	[Master of Science Program in Remote Sensing Science and Technology ] Electronic Thesis & Dissertation

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