气候变化领域集成服务门户(CCPortal): Estimation of ground-level particulate matter concentrations based on synergistic use of MODIS, MERRA-2 and AERONET AODs over a coastal site in the Eastern Mediterranean

CCPortal

DOI	10.1016/j.atmosenv.2021.118562
	Estimation of ground-level particulate matter concentrations based on synergistic use of MODIS, MERRA-2 and AERONET AODs over a coastal site in the Eastern Mediterranean
	Tuna Tuygun G.; Gündoğdu S.; Elbir T.
发表日期	2021
ISSN	1352-2310
卷号	261
英文摘要	Satellite-derived aerosol optical depth (AOD) products are widely used to estimate the spatial and temporal characteristics of ground-level particulate matters (PM). Satellite-based approaches in the operational use of PM estimation models have limitations such as missing values in satellite-based variables due to the impact of cloud cover, relative humidity, and aerosol vertical distribution. Therefore, the spatial-temporal resolution of the estimation models is forced to be improved by using AOD products having different temporal resolutions from different platforms. In this study, ground-based PM10 concentrations were aimed to be estimated using different gap-filled AOD datasets between 2008 and 2016 over a coastal site in the Eastern Mediterranean. For the estimation of PM10 concentrations, daily AOD data were mainly used from MODIS. Then, two different gap-filled MODIS AOD datasets with both AERONET and MERRA-2 AODs were also examined separately on both multi-annual and multi-seasonal basis since the number of MODIS AOD data was temporally limited in the region. A pattern recognition neural network (PRNN) model was used for the estimation of PM10 concentrations. AOD with several meteorological parameters from an on-site meteorological station and aerosol diagnostic products from MERRA-2 were used as inputs to the estimation model. The most significant variables for the model were identified in 23 independent variables using the multiple linear regression (MLR). The results indicated that the best estimation (R = 0.74) was obtained with the gap-filled AODMODIS+MERRA dataset for the period covering all years whereas the AODMODIS dataset alone showed the poorest performance (R = 0.62). However, the performance of the gap-filled datasets varied with the seasons. For example, the AODMODIS dataset alone showed the best estimation performance (R = 0.67) in the summer whereas the gap-filled AODMODIS+AERONET dataset had the best performance (R = 0.59) in the winter. Overall results suggest that for estimating ground-level PM concentrations, an approach of gap-filled AOD dataset usage for estimation models is useful especially in rainy seasons such as the winter and autumn where MODIS AOD retrievals are limited. © 2021 Elsevier Ltd
关键词	Aerosol optical depth (AOD)Artificial neural network Gap-filled AOD PM estimation
语种	英语
scopus关键词	Aerosols; Linear regression; Neural networks; Particles (particulate matter); Pattern recognition; Radiometers; Satellites; AERONET; Aerosol optical depth; Aerosol optical depths; Estimation models; Gap-filled aerosol optical depth; Ground level; Neural-networks; Particulate Matter; Particulate matter 10; Particulate matter estimation; Optical properties; AERONET; coastal zone; concentration (composition); data set; estimation method; ground-based measurement; MODIS; optical depth; particulate matter; satellite altimetry; aerosol; article; artificial neural network; autumn; independent variable; information retrieval; meteorology; optical depth; particulate matter; pattern recognition; rainy season; summer; winter; Mediterranean Sea; Mediterranean Sea (East)
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248332
作者单位	Department of Environmental Engineering, Faculty of Engineering, Dokuz Eylul UniversityBuca-Izmir, Turkey; Computer Technology Program, Bergama Vocational School, Dokuz Eylul University, Bergama-Izmir, Turkey
推荐引用方式 GB/T 7714	Tuna Tuygun G.,Gündoğdu S.,Elbir T.. Estimation of ground-level particulate matter concentrations based on synergistic use of MODIS, MERRA-2 and AERONET AODs over a coastal site in the Eastern Mediterranean[J],2021,261.
APA	Tuna Tuygun G.,Gündoğdu S.,&Elbir T..(2021).Estimation of ground-level particulate matter concentrations based on synergistic use of MODIS, MERRA-2 and AERONET AODs over a coastal site in the Eastern Mediterranean.ATMOSPHERIC ENVIRONMENT,261.
MLA	Tuna Tuygun G.,et al."Estimation of ground-level particulate matter concentrations based on synergistic use of MODIS, MERRA-2 and AERONET AODs over a coastal site in the Eastern Mediterranean".ATMOSPHERIC ENVIRONMENT 261(2021).