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Comparison of ground based indices (API and AQI) with satellite based aerosol products.
Sci Total Environ. 2014 Aug 01; 488-489:398-412.ST

Abstract

Air quality in mega cities is one of the major concerns due to serious health issues and its indirect impact to the climate. Among mega cities, Beijing city is considered as one of the densely populated cities with extremely poor air quality. The meteorological parameters (wind, surface temperature, air temperature and relative humidity) control the dynamics and dispersion of air pollution. China National Environmental Monitoring Centre (CNEMC) started air pollution index (API) as of 2000 to evaluate air quality, but over the years, it was felt that the air quality is not well represented by API. Recently, the Ministry of Environmental Protection (MEP) of the People's Republic of China (PRC) started using a new index "air quality index (AQI)" from January 2013. We have compared API and AQI with three different MODIS (MODIS - Moderate Resolution Imaging SpectroRadiometer, onboard the Terra/Aqua satellites) AOD (aerosol optical depth) products for ten months, January-October, 2013. The correlation between AQI and Aqua Deep Blue AOD was found to be reasonably good as compared with API, mainly due to inclusion of PM2.5 in the calculation of AQI. In addition, for every month, the correlation coefficient between AQI and Aqua Deep Blue AOD was found to be relatively higher in the month of February to May. According to the monthly average distribution of precipitation, temperature, and PM10, the air quality in the months of June-September was better as compared to those in the months of February-May. AQI and Aqua Deep Blue AOD show highly polluted days associated with dust event, representing true air quality of Beijing.

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Publisher Full Text (DOI)

Authors+Show Affiliations

Zheng S
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University, Datun Road, Chaoyang District, Beijing 100101, PR China; University of Chinese Academy of Sciences, No.19A, Yuquan Road, Shijingshan District, Beijing 100049, PR China.
Cao CX
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University, Datun Road, Chaoyang District, Beijing 100101, PR China; Center for Applications of Spatial Information Technologies in Public Health, Datun Road, Chaoyang District, Beijing 100101, PR China.
Singh RP
School of Earth and Environmental Sciences, Schmid College of Science and Technology, Chapman University, One University Drive, Orange, CA 92866, USA. Electronic address: rsingh@chapman.edu.

MeSH

AerosolsAir PollutantsAir PollutionEnvironmental MonitoringParticulate MatterSatellite Imagery

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

24412562

Citation

Zheng, Sheng, et al. "Comparison of Ground Based Indices (API and AQI) With Satellite Based Aerosol Products." The Science of the Total Environment, vol. 488-489, 2014, pp. 398-412.
Zheng S, Cao CX, Singh RP. Comparison of ground based indices (API and AQI) with satellite based aerosol products. Sci Total Environ. 2014;488-489:398-412.
Zheng, S., Cao, C. X., & Singh, R. P. (2014). Comparison of ground based indices (API and AQI) with satellite based aerosol products. The Science of the Total Environment, 488-489, 398-412. https://doi.org/10.1016/j.scitotenv.2013.12.074
Zheng S, Cao CX, Singh RP. Comparison of Ground Based Indices (API and AQI) With Satellite Based Aerosol Products. Sci Total Environ. 2014 Aug 1;488-489:398-412. PubMed PMID: 24412562.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Comparison of ground based indices (API and AQI) with satellite based aerosol products. AU - Zheng,Sheng, AU - Cao,Chun-Xiang, AU - Singh,Ramesh P, Y1 - 2014/01/10/ PY - 2013/09/16/received PY - 2013/12/07/revised PY - 2013/12/15/accepted PY - 2014/1/14/entrez PY - 2014/1/15/pubmed PY - 2014/11/15/medline KW - AOD KW - API KW - AQI KW - MODIS SP - 398 EP - 412 JF - The Science of the total environment JO - Sci Total Environ VL - 488-489 N2 - Air quality in mega cities is one of the major concerns due to serious health issues and its indirect impact to the climate. Among mega cities, Beijing city is considered as one of the densely populated cities with extremely poor air quality. The meteorological parameters (wind, surface temperature, air temperature and relative humidity) control the dynamics and dispersion of air pollution. China National Environmental Monitoring Centre (CNEMC) started air pollution index (API) as of 2000 to evaluate air quality, but over the years, it was felt that the air quality is not well represented by API. Recently, the Ministry of Environmental Protection (MEP) of the People's Republic of China (PRC) started using a new index "air quality index (AQI)" from January 2013. We have compared API and AQI with three different MODIS (MODIS - Moderate Resolution Imaging SpectroRadiometer, onboard the Terra/Aqua satellites) AOD (aerosol optical depth) products for ten months, January-October, 2013. The correlation between AQI and Aqua Deep Blue AOD was found to be reasonably good as compared with API, mainly due to inclusion of PM2.5 in the calculation of AQI. In addition, for every month, the correlation coefficient between AQI and Aqua Deep Blue AOD was found to be relatively higher in the month of February to May. According to the monthly average distribution of precipitation, temperature, and PM10, the air quality in the months of June-September was better as compared to those in the months of February-May. AQI and Aqua Deep Blue AOD show highly polluted days associated with dust event, representing true air quality of Beijing. SN - 1879-1026 UR - https://www.unboundmedicine.com/medline/citation/24412562/Comparison_of_ground_based_indices__API_and_AQI__with_satellite_based_aerosol_products_ DB - PRIME DP - Unbound Medicine ER -