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Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010

机译:整合遥感数据和地面观测数据,以估算2010年8月俄罗斯野火对欧洲和亚洲的影响

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A series of wildfires broke out in Western Russia starting in late July of 2010. Harmful particulates and gases released into the local Russian atmosphere have been reported, as have possible negative consequences for the global atmosphere. In this study, an extremely hazy area and its transport trajectory on Russian wildfires were analysed using aerosol optical depth (AOD) images retrieved via the synergy method from Moderate Resolution Imaging Spectroradiometer (MODIS) data. In addition, we used trace gases (NO_2 and SO_2) and CO_2 products measured using Ozone Monitoring Instrument (OMI) data, vertical distribution of AOD data retrieved from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data, the mass trajectory analyses, synoptic maps from a HYSPLIT model simulation and ground-based data, including AERONET (both AOD and Angstrom exponent) data and PM_(2.5). First, an Optimal Smoothing (OS) scheme was used to develop more precise and reliable AOD data based on multiple competing predictions made using several AOD retrieval models; then, integrated AOD and PM_(2.5) data were related using a chemical transport model (GEOS-Chem), and the integrated AOD and visibility data were related using the 6S radiative transfer code. The results show that the PM_(2.5) concentration is enhanced by a factor of 3–5 as determined from both satellite and in situ observations with peak daily mean concentrations of approximately 500 μgm~3. Also, the visibility in many parts of Russia, for instance in Moscow, was less than 100 m; in some areas, the visibility was less than 50 m. Additionally, the possible impact on neighbouring countries due to long-transport was analysed for 31 July and 15 August 2010. A comparison of the satellite aerosol products and ground observations from the neighbouring countries suggests that wildfires in Western Russian had little impact on most european and asian countries, the exceptions being Finland, Estonia, Ukraine and Kyrgyzstan. However, a possible impact on the Arctic region was identified; such an effect would have a serious influence on the polar atmospheric enviroment, and on animals such as polar bears.
机译:从2010年7月下旬开始,在俄罗斯西部发生了一系列野火。据报道,释放到俄罗斯当地大气中的有害颗粒物和气体对全球大气可能造成负面影响。在这项研究中,使用通过协同方法从中分辨率成像光谱仪(MODIS)数据中检索到的气溶胶光学深度(AOD)图像,分析了俄罗斯森林大火上的一个非常朦胧的区域及其运输轨迹。此外,我们使用了使用臭氧监测仪(OMI)数据测量的痕量气体(NO_2和SO_2)和CO_2产物,从云气激光雷达获取的AOD数据的垂直分布以及红外探路者卫星观测(CALIPSO)数据,质量轨迹分析,来自HYSPLIT模型模拟的天气图和基于地面的数据,包括AERONET(AOD和Angstrom指数)数据和PM_(2.5)。首先,使用最优平滑(OS)方案基于使用多个AOD检索模型进行的多个竞争性预测来开发更精确和可靠的AOD数据;然后,使用化学迁移模型(GEOS-Chem)将AOD和PM_(2.5)的综合数据关联起来,并使用6S辐射转移码将AOD和可见度的综合数据关联起来。结果表明,根据卫星观测和现场观测确定的PM_(2.5)浓度提高了3-5倍,日平均峰值浓度约为500μgm〜3。另外,俄罗斯许多地区(例如在莫斯科)的能见度不到100 m;在某些地区,能见度不到50 m。此外,分析了2010年7月31日和2010年8月15日由于长途运输对邻国的可能影响。对卫星气溶胶产品和邻国的地面观测结果的比较表明,俄罗斯西部的野火对大多数欧洲和欧洲的影响不大。亚洲国家,但芬兰,爱沙尼亚,乌克兰和吉尔吉斯斯坦除外。但是,已确定可能对北极地区产生影响;这种影响将严重影响极地的大气环境以及北极熊等动物。

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