Decoding seasonal variability of air pollutants with climate factors: A geostatistical approach using multimodal regression models for informed climate change mitigation-Reference-Cited by-同舟云学术

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Decoding seasonal variability of air pollutants with climate factors: A geostatistical approach using multimodal regression models for informed climate change mitigation

Published:2024-03 Issue: Volume:345 Page:123463
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Morshed Syed Riad,Fattah Md. Abdul,Kafy Abdulla - Al^ORCID,Alsulamy Saleh,Almulhim Abdulaziz I.,Shohan Ahmed Ali A.^ORCID,Khedher Khaled Mohamed^ORCID

Funder

Deanship of Scientific Research, King Khalid University

Publisher

Elsevier BV

Reference56 articles.

1. Aerosol optical and radiative properties during summer and winter seasons over Lahore and Karachi;Alam;Atmos. Environ.,2012

2. Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and reanalysis data;Ali;J. Environ. Manag.,2022

3. A comparative study on the variation of air quality index of Dhaka city before and after the nationwide lockdown due to COVID-19;Argha,2021

4. Parametrization of temperature inversion over Krasnoyarsk city;Belolipetskii,2023

5. Climate Change Will Unravel Air Quality Regulations;Bento,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating the influence of COVID-19 pandemic on socioeconomic development in Wumeng Mountain area based on multi-source remote sensing data;International Journal of Digital Earth;2024-08-13

2. Spatiotemporal Variation of Air Quality and its Driving Factors in the Poyang Lake Eco-Economic Zone from 2015 to 2023;2024

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