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DOI10.1016/j.scitotenv.2024.170835
Integrating satellite and model data to explore spatial-temporal changes in aerosol optical properties and their meteorological relationships in northwest India
Pippal, Prity S.; Kumar, Rajesh; Kumar, Ramesh; Singh, Atar
发表日期2024
ISSN0048-9697
EISSN1879-1026
起始页码922
卷号922
英文摘要This study aims to analyze the temporal and spatial distribution of Aerosol Optical Properties across Northwest India using aerosol data from MODIS (Moderate Resolution Imaging Spectroradiometer) and OMI (Ozone Monitoring Instrument) sensors from 2003 to 2022. Therefore, this study investigated the decadal, interannual, and seasonal changes in aerosol optical properties, vegetation index, and meteorological parameters in the northwest Indian region (8 boxes). Using GIOVANNI (Goddard Earth Sciences Data and Information Services Center (GES DISC) Online Visualization and Analysis Infrastructure), we retrieved daily and monthly Aqua and Terra MODIS products of aerosol optical depth (AOD), Angstrom exponent (AE), normalized difference vegetation index (NDVI), and OMI aerosol index (AI) to examine the spatiotemporal variations by using statistical approaches. The results demonstrated that the decadal averages of aerosol properties showed values of AOD 0.35 (Aqua) and 0.34 (Terra) and AE 1.20 (Aqua) and 1.10 (Terra) with the highest levels during the post-monsoon. Notably, the mean interannual concentrations of AOD and NDVI consistently surpass 0.3, and AE and AI exceed 1 in most locations, underscoring the persistence of high aerosol loading. Also, the study revealed a negative decadal change in AOD of about -8.24 %, while AE, AI, and NDVI showed positive decadal changes of about 9.24 %, 15.09 %, and 12.67 %, respectively. In addition, aerosol optical properties and local meteorology strongly correlated (-0.8 to +0.8). Principal Component Analysis (PCA) identifies meteorological parameters as significant drivers, with the first three components explaining over 70 % of the variation in aerosol optical properties. The NOAA HYSPLIT trajectory model suggests that the long-distance dust transport from the Arabian Peninsula frequently penetrates Gujarat province and then to northwest India. The results contributed to air quality management strategies and provided valuable insights into regional climate and air quality with the influence of meteorology.
英文关键词Decadal fluctuations; Percentage change; Aerosol optical depth (AOD); HYSPLIT trajectory model; Statistical analysis
语种英语
WOS研究方向Environmental Sciences & Ecology
WOS类目Environmental Sciences
WOS记录号WOS:001211447800001
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT (IF:5.589[JCR-2018],5.727[5-Year])
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/304186
作者单位Central University of Rajasthan (CURAJ); Parul University; Parul Institute of Applied Sciences
推荐引用方式
GB/T 7714
Pippal, Prity S.,Kumar, Rajesh,Kumar, Ramesh,et al. Integrating satellite and model data to explore spatial-temporal changes in aerosol optical properties and their meteorological relationships in northwest India[J],2024,922.
APA Pippal, Prity S.,Kumar, Rajesh,Kumar, Ramesh,&Singh, Atar.(2024).Integrating satellite and model data to explore spatial-temporal changes in aerosol optical properties and their meteorological relationships in northwest India.SCIENCE OF THE TOTAL ENVIRONMENT,922.
MLA Pippal, Prity S.,et al."Integrating satellite and model data to explore spatial-temporal changes in aerosol optical properties and their meteorological relationships in northwest India".SCIENCE OF THE TOTAL ENVIRONMENT 922(2024).
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