High Spatiotemporal Resolution Estimation and Analysis of Global Surface Co Concentrations Using a Deep Learning Model DOI
Mingyun Hu, Xingcheng Lu, Yiang Chen

et al.

Published: Jan. 1, 2024

Language: Английский

Evaluating the Impact of Personal Exposure to Emissions from Sustainable Commercial Heating and Cooking Fuels on Women in Rural Southern India and Their Alignment with Sustainable Development Goals DOI

Steffi Joseph Perumpully,

Sneha Gautam,

John Paul J.

et al.

Water Air & Soil Pollution, Journal Year: 2024, Volume and Issue: 235(1)

Published: Jan. 1, 2024

Language: Английский

Citations

26

Atmospheric Particulate Matter and Associated Trace Elements Pollution in Bangladesh: A Comparative Study with Global Megacities DOI Creative Commons
Sazal Kumar, Narottam Saha,

Anika Amir Mohana

et al.

Water Air & Soil Pollution, Journal Year: 2024, Volume and Issue: 235(4)

Published: March 20, 2024

Abstract Air quality degradation due to high levels of atmospheric particulate matter (PM) various size fractions and the associated potentially toxic trace elements (PTEs) is a global concern. This article provides thorough review analysis temporal spatial distribution PM PTEs in Bangladesh, offering comprehensive assessment with other megacities worldwide based on existing literature. study insights into sources transport mechanisms their link human health. The level was consistently Dhaka (capital Bangladesh), occasional higher surrounding cities. Different functional areas within Bangladesh show varying PM, total suspended particulates (TSP) being notably prevalent. When compared worldwide, African Asian megacities, like India, Pakistan, Nigeria, Egypt, exhibited concentrations. concentration PM-associated varies significantly among 10 tends have relatively concentrations Bangladesh. Pb ambient air found across most increase TSP highest relative content, followed by 2.5 . Temporal factors, geographic locations, meteorological conditions, anthropogenic activities contribute variation megacities. Ultimately, this would aid policymakers assessing magnitude pollution considering regional factors.

Language: Английский

Citations

11

Distribution, sources and ecological risks of PAHs and n-alkanes in water and sediments of typically polluted estuaries: Insights from the Xiaoqing River DOI
Feifei Zhang, Dong Zhang,

Huawei Lou

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 364, P. 121471 - 121471

Published: June 14, 2024

Language: Английский

Citations

8

Geo-visualizing the hotspots of smog-induced health effects in district Gujranwala, Pakistan: a community perspective DOI
Shakeel Mahmood,

Aqib Ali,

Huda Jamal Jumaah

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(5)

Published: April 17, 2024

Language: Английский

Citations

5

Source apportionment and wet scavenging ability of atmospheric black carbon during haze in Northeast China DOI
Shuo Ding, Delong Zhao, Ping Tian

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 357, P. 124470 - 124470

Published: June 29, 2024

Language: Английский

Citations

3

Statistical analysis of climatic drought indices as a decision-making tool in irrigation matters—case of citrus orchards in Middle and Upper Cheliff (Algeria) DOI

Bachir Balia,

Brahim Habibi,

Abdelkader Bouthiba

et al.

Arabian Journal of Geosciences, Journal Year: 2024, Volume and Issue: 17(10)

Published: Sept. 20, 2024

Language: Английский

Citations

1

Immission levels and identification of carbon monoxide sources in a latin American megacity: use of bivariate polar plots and k-means clustering DOI
José Abel Espinoza-Guillen, Marleni Beatriz Alderete-Malpartida, Sadyth Jhocelú Bernabé-Meza

et al.

Air Quality Atmosphere & Health, Journal Year: 2024, Volume and Issue: 18(2), P. 485 - 506

Published: Oct. 31, 2024

Language: Английский

Citations

1

High spatiotemporal resolution estimation and analysis of global surface CO concentrations using a deep learning model DOI
Mingyun Hu, Xingcheng Lu, Yiang Chen

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 123096 - 123096

Published: Nov. 1, 2024

Language: Английский

Citations

1

High Spatiotemporal Resolution Estimation and Analysis of Global Surface Co Concentrations Using a Deep Learning Model DOI
Mingyun Hu, Xingcheng Lu, Yiang Chen

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0