首页> 外文会议>Sentinel-3 OLCI/SLSTR and MERIS/(A)ATSR workshop >URBAN PM10 ESTIMATION BASED ON MERIS/AATSR SYNERGY DERIVED AOT AND MODIS LEVEL-2 ATMOSPHERIC PARAMETERS
【24h】

URBAN PM10 ESTIMATION BASED ON MERIS/AATSR SYNERGY DERIVED AOT AND MODIS LEVEL-2 ATMOSPHERIC PARAMETERS

机译:基于MERIS / AATSR协同AOT和MODIS LEVEL-2大气参数的城市PM10估算

获取原文
获取原文并翻译 | 示例

摘要

In recent years, there has been a focus on urban air qualityrnstudies, aiming to improve the knowledge of thernenvironmental factors that affect population health andrnwell-being. Important urban air quality indicators arernboth PM10 and PM2.5. Recent scientific efforts havernconcentrated on PM mapping using Earth Observationrndata, offering better spatial coverage and resolutionrncompared to ground measurements [1], [2]. The mostrncommon approach of these studies has been the correlationrnof the in-situ measured near surface PM concentrationrnwith the satellite derived Aerosol Optical Thicknessrn(AOT), constraint by ancillary meteorological parametersrnto estimate the overall AOT contribution at the surfacernPM level. Although several studies have shownrnpromising results, a major drawback remains, regardingrnthe spatial resolution of the available satellite derivedrnAOT products, which reaches at best the 10 km × 10 kmrnin both MODIS and the GlobAEROSOL products cases.rnThis study aims at quantifying the surface PM10 concentrationrnover the broader urban area of Athens,rnGreece, using AOT spatial distributions derived by thernMERIS/AATSR synergy algorithm [3]. Using this algorithm,rnAOT can be derived at 1 km × 1 km spatial resolution.rnUsing 4 years of PM10 ground measurements, arnmultivariate regression technique was employed to estimaternPM10 as function of the MERIS/AATSR derivedrnAOT and some MODIS Level 2 atmospheric parametersrn(related to surface temperature and humidity, as well asrnto atmospheric static stability), at 5 km × 5 km spatialrnresolution. Our approach can be easily extended tornSentnel3 observations since they will be capable of extractingrninformation about all the above parameters.
机译:近年来,人们一直在关注城市空气质量研究,旨在提高对影响人口健康和福祉的环境因素的了解。重要的城市空气质量指标是PM10和PM2.5。最近的科学努力集中在使用地球观测数据进行PM测绘,与地面测量相比提供了更好的空间覆盖范围和分辨率[1],[2]。这些研究中最常用的方法是与卫星衍生的气溶胶光学厚度(AOT)进行现场测量的近地表PM浓度的相关性,并受辅助气象参数的约束,以估计在地表PM水平的总体AOT贡献。尽管有几项研究显示出有希望的结果,但就现有卫星衍生的AOT产品的空间分辨率而言,主要缺点仍然存在,在MODIS和GlobAEROSOL产品案例中,其最大分辨率都达到10 km×10 km。使用MERIS / AATSR协同算法得出的AOT空间分布[3]。使用该算法,可以在1 km×1 km的空间分辨率下得出rnAOT。rn使用PM10地面测量的4年,采用多元回归技术估算rnPM10,这是MERIS / AATSR得出的rnAOT和一些MODIS 2级大气参数rn(与5 km×5 km空间分辨率下的地表温度和湿度以及大气静态稳定性)。我们的方法可以轻松地扩展到tornSentnel3观测值,因为它们将能够提取有关所有上述参数的信息。

著录项

  • 来源
  • 会议地点 Frascati(IT)
  • 作者单位

    Foundation for Research and Technology - Hellas, Institute of Applied ad Computational Mathematics, N. Plastira 100, Vassilika Vouton, 70013, Heraklion, Greece Department of Physics, University of Crete, Heraklion, Greece;

    Foundation for Research and Technology - Hellas, Institute of Applied ad Computational Mathematics, N. Plastira 100, Vassilika Vouton, 70013, Heraklion, Greece;

    Foundation for Research and Technology - Hellas, Institute of Applied ad Computational Mathematics, N. Plastira 100, Vassilika Vouton, 70013, Heraklion, Greece;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号