Estimating urban PM10 and PM2.5 concentrations, based on synergistic MERIS/AATSR aerosol observations, land cover and morphology data

REMOTE SENSING OF ENVIRONMENT

卷:172

Article

Beloconi, Anton¹  Kamarianakis, Yiannis²  Chrysoulakis, Nektarios¹ 

[1] Fdn Res & Technol Hellas, Inst Appl & Computat Math, Iraklion 70013, Greece

[2] Arizona State Univ, Sch Math & Stat Sci, Tempe, AZ 85287 USA

关键词: Particulate matter;    Aerosol optical thickness;    MERIS/AATSR synergy;    Block kriging;    Change of support problem;    Mixed-effects models;   

DOI  :  10.1016/j.rse.2015.10.017

来源: Elsevier

【 摘 要 】

This study evaluates alternative spatio-temporal approaches for quantitative estimation of daily mean Particulate Matter (PM) concentrations. Both fine (PM2.5) and coarse (PM10) concentrations were estimated over the area of London (UK) for the 2002-2012 time period, using Aerosol Optical Thickness (AOT) derived from MERIS (Medium Resolution Imaging Spectrometer)/AATSR (Advanced Along-Track Scanning Radiometer) synergistic observations at 1 km x 1 km resolution. Relative humidity, temperature and the K-Index obtained from MODIS (Moderate Resolution Imaging Spectroradiometer) sensor were used as additional predictors. High-resolution (100 m x 100 m) local urban land cover and morphology datasets were incorporated in the analysis in order to capture the effects of local scale emissions and sequestration. Spatial (2-D) and spatio-temporal (3-D) kriging were applied to in situ urban PM measurements to investigate their association with satellite-derived AOT while accounting for differences in spatial support. Linear mixed-effects models with day-specific and site-specific random intercepts and slopes were estimated to associate satellite-derived products with lcriged PM concentration and their predictive performance was evaluated. (C) 2015 Elsevier Inc All rights reserved.

【 授权许可】

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