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Analysis of Aerosol Optical Depth and Angstrom Exponent Number over Singapore 2007 - 2014

机译:2007-2014年新加坡气溶胶光学深度和埃指数的数量分析

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South-East Asia is one of the fastest growing economic regions. As a consequence, emissions of anthropogenic aerosols, such as from industrial pollution and biomass mass burning, have increased. Singapore, being located at the crossroads of known biomass burning emission sources, is greatly affected by this annual phenomena. To understand and study such emission sources, the Centre for Remote Imaging Sensing and Processing (CRISP) in Singapore has deployed a permanent automatic Sun-tracking Photometer which is part of the Aerosol Robotic Network, AERONET. This instrument performs daily direct sun measurements and all data products are cloud screened and validated by AERONET protocols. The principal products obtained are the aerosol optical depth (AOD), the derived Angstrom Exponent (AE), as well as fine mode and coarse mode part of the aerosol size distribution. Previous local and regional studies focused on the investigation of haze/smoke events, particularly between the months of August and October due to trans-boundary smoke transport, mainly caused by forest and agriculture burning in Sumatra and Borneo (Indonesia). In this study, we try to answer the question of whether there is an inter-annual pattern and whether there is a noticeable trend within the AOD and AE data sets over the last 7 years. AERONET level 1.0 data sets are further processed and exclusively used for this work. For locating and back-trajectory tracking of potential aerosol sources the HYSPLIT model is used.
机译:东南亚是增长最快的经济区之一。结果,诸如工业污染和生物质燃烧产生的人为气溶胶的排放增加了。坐落在已知的生物质燃烧排放源的十字路口的新加坡受到这一年度现象的极大影响。为了了解和研究此类排放源,新加坡遥感影像传感与处理中心(CRISP)部署了一个永久性自动太阳跟踪光度计,该光度计是Aerosol机器人网络AERONET的一部分。该仪器每天进行直接日照测量,所有数据产品均经过云屏蔽,并通过AERONET协议进行了验证。获得的主要产品是气溶胶光学深度(AOD),派生的埃斯特罗姆指数(AE)以及气溶胶尺寸分布的精细模式和粗糙模式部分。先前的本地和区域研究着重于雾霾/烟尘事件的调查,尤其是在8月至10月之间由于跨界烟雾运输而引起的烟雾/烟雾事件,主要是苏门答腊和婆罗洲(印度尼西亚)的森林和农业燃烧造成的。在本研究中,我们试图回答以下问题:过去7年中,AOD和AE数据集中是否存在年际格局以及是否存在明显趋势。 AERONET 1.0级数据集将被进一步处理,并且仅用于此工作。为了定位和追踪潜在的气溶胶源,使用了HYSPLIT模型。

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