RETRACTED: Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing

被引:11
作者
Basharat, Uzma [1 ]
Tariq, Salman [2 ,3 ]
Chaudhry, Muhammad Nawaz [1 ]
Khan, Muhammad [2 ]
Agyekum, Ephraim Bonah [4 ]
Mbasso, Wulfran Fendzi [5 ]
Kamel, Salah [6 ]
机构
[1] Lahore Sch Econ, Lahore, Pakistan
[2] Univ Punjab, Remote Sensing GIS & Climat Res Lab, Natl Ctr GIS & Space Applicat, Ctr Remote Sensing, Lahore, Pakistan
[3] Univ Punjab, Dept Space Sci, Lahore, Pakistan
[4] Ural Fed Univ, Dept Nucl & Renewable Energy, 19 Mira St, Ekaterinburg 620002, Russia
[5] Univ Douala, Univ Inst Technol, Lab Technol & Appl Sci, POB 8698, Douala, Cameroon
[6] Aswan Univ, Fac Engn, Dept Elect Engn, Aswan 81542, Egypt
基金
美国国家航空航天局;
关键词
Aerosol optical depth; Angstrom exponent; Soil moisture; Evapotranspiration; Normalized difference vegetation index; LIGHTNING ACTIVITY; SATELLITE; CLIMATE; LAHORE; EVENT;
D O I
10.1016/j.heliyon.2023.e20635
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Aerosols have a severe impact on the Earth's climate, human health, and ecosystem. To understand the impacts of aerosols on climate, human health, and the ecosystem we must need to understand the variability of aerosols and their optical properties. Therefore, we used AquaMODIS retrieved aerosol optical depth (AOD) (550 nm) and Angstrom exponent (AE) (440/ 870) data to analyze the Spatio-temporal seasonal variability of aerosols and their relationship with different meteorological parameters over Pakistan from 2002 to 2021. High (>0.5) AOD values were observed during the summer season and low (<0.8) in the spring season. AE values were observed to be high (>1) in the northern regions of Pakistan indicating the dominance of fine mode particles during the winter season. Moreover, AOD showed a positive correlation with Relative Humidity (RH), Evapotranspiration, Wind speed (WS), and Temperature. On the other hand, it showed a negative correlation with Soil moisture (SM), Normalized difference vegetation index (NDVI), and precipitation over Pakistan. Therefore, considering the outcomes of this study will help policymakers to understand the spatiotemporal variability of aerosols and their seasonal correlation with different meteorological parameters.
引用
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页数:19
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