Analysis and Variation of the Maiac Aerosol Optical Depth in Underexplored Urbanized Area of National Capital Region, India
Author:
Sharma Vipasha1, Ghosh Swagata1ORCID, Kumari Maya2, Taloor Ajay Kumar3, Singh Sultan4, Arola Antti5, Devara Panuganti C. S.6
Affiliation:
1. Amity Institute of Geoinformatics and Remote Sensing (AIGIRS) , Amity University , Sector 125, Noida-201313, U.P ., India 2. Amity School of Natural Resources and Sustainable Development (ASNRSD) , Amity University , Sector 125, Noida-201313, U.P ., India 3. Department of Remote Sensing and GIS , University of Jammu , Baba Saheb Ambedkar Road, Jammu Tawi (J&K)-180006 , India 4. Haryana Space Applications Centre Node, Gurgaon New labour court building, Mini Secretariat , Sector 11, Gurugram, Haryana 122001 5. Finnish Meteorological Institute , 70211 Kuopio , Finland 6. Centre of Excellence in Ocean-Atmospheric Science and Technology (ACOAST)/Environmental Science and Health (ACESH) , Amity University Haryana , Gurugram-122413 , India
Abstract
Abstract
Aerosol monitoring is the emerging application field of satellite remote sensing. As a satellite-based indicator of aerosol concentration, aerosol optical depth (AOD) can aid in assessing the crucial effects of aerosols on the global environment. Among various satellite-based aerosol product, Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 (C6), Multiangle Implementation of Atmospheric Correction (MAIAC) aerosol product (1 km resolution) has still untapped potential in Indian regions. Considering the importance of regional validation of such high-resolution aerosol product, the present study attempts to fill this gap by validating MAIAC aerosol estimates (AODMAIAC) in highly polluted districts (Faridabad, Ghaziabad, Gautam Budh Nagar, Gurugram) of National Capital Region (NCR) with heavy aerosol loading using limited AErosol RObotic NETwork (AERONET) observations obtained from AERONET sites at Amity University (AU) and Gual Pahari (GP). Such evaluation of satellite-retrieved aerosol product with ground data confirms its practicality based on retrieval errors (Expected Error (EE) values (EE = 0.05 + 15 %*AOD) (EE: 78.85 % at AU, 73.58 % at GP), root mean square error (RMSE) values (RMSE: 0.15 at AU, 0.24 at GP), and correlation coefficient (R) values (R: 0.86 at AU, 0.73 at GP). The seasonal variation in AOD over the study area from 2010-2019 reveals increasing trend of AOD in the monsoon and post-monsoon season due to natural and anthropogenic factors. In addition to contributing to a holistic assessment of MAIAC aerosol estimates as a recent, high-resolution aerosol product, present results provide a basis for further research into NCR aerosols.
Publisher
Walter de Gruyter GmbH
Subject
Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecology
Reference84 articles.
1. Alexei, L., John, M., Yujie, W., Istvan, L., Sergey, K., (2011a). Multiangle implementation of atmospheric correction (MAIAC):1. Radiative transfer basis and look-up tables. J. Geophys. Res. 116. https://doi.org/10.1029/2010JD014985 2. Alexei, L., Kahn, R., Yujie, W., Istvan, L., Sergey, K., L., R., R., L., S., R.J., (2011b). Multiangle implementation of atmospheric correction (MAIAC):2. Aerosol algorithm. J. Geophys. Res. 116. https://doi.org/10.1029/2010JD014986 3. Altaratz, O., Bar-Or, R.Z., Wollner, U., Koren, I., (2013). Relative humidity and its effect on aerosol optical depth in the vicinity of convective clouds. Environ. Res. Lett. 8. https://doi.org/10.1088/1748-9326/8/3/034025 4. Banerjee, T., Kumar, M., Mall, R.K., Singh, R.S., (2017). Airing ‘clean air’ in Clean India Mission. Environ. Sci. Pollut. Res. https://doi.org/10.1007/s11356-016-8264-y28039622 5. Banerjee, T., Kumar, M., Singh, N., (2018). Aerosol, climate, and sustainability, Encyclopedia of the Anthropocene. Elsevier Inc. https://doi.org/10.1016/B978-0-12-809665-9.09914-6
|
|