Black Carbon Concentration and Potential Source Regions: A Case Study of the Yellow River Basin in Shandong Province, China DOI Creative Commons
Yuxia Wang,

Yanni Rong,

Kai Qu

и другие.

Aerosol and Air Quality Research, Год журнала: 2024, Номер 24(8), С. 240024 - 240024

Опубликована: Янв. 1, 2024

Black carbon (BC) concentrations and potential source regions were analyzed for nine cities in the Yellow River Basin Shandong Province from September 2021 to August 2022. Higher BC found Jinan, Tai'an, Jining, Dezhou, situated central part of study area. concentration exhibited highest values winter, followed by autumn, spring summer all excluding Jinan. The monthly average Jinan ranged 0.69 3.92 μg m-3. a pronounced diurnal variation, which decreased morning peak afternoon. analysis related pollutants revealed that shared similar sources with PM2.5 CO, influenced distribution surrounding high-energy-consuming industries. exhibits correlation 0.51 0.56 SO2 NO2 summer, indicating is more affected traffic emissions compared industrial High associated poor diffusion conditions due terrain meteorology. may contribute high land surface temperature (LST) during summer. backward trajectory showed area varied considerably different seasons. In winter mainly came local emissions. While regional transport had equal contribution as emissions, cannot be ignored. findings provide insights protecting atmospheric environment promoting high-quality development

Язык: Английский

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

и другие.

Environmental Pollution, Год журнала: 2024, Номер 357, С. 124470 - 124470

Опубликована: Июнь 29, 2024

Язык: Английский

Процитировано

3

Black carbon in urban Jinan: variations, health risks, and driving factors analyzed with machine learning DOI
Jiaqi Chen, Wenbin Yu, Xiaohan Cui

и другие.

Journal of Environmental Sciences, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Quantifying the Impact of Haze and Normal Air Quality on Urban Environments: A Study of Diurnal Variation, Source Apportionment, and Correlation DOI

Dilip Kumar Mahato,

Balram Ambade, Tushar Choudhary

и другие.

Water Air & Soil Pollution, Год журнала: 2024, Номер 235(12)

Опубликована: Окт. 26, 2024

Язык: Английский

Процитировано

1

Multi-model revealing the driving factors of black carbon pollution in Hohhot, the largest city on the Mongolian plateau DOI
Yihan Wu, Haijun Zhou,

Yongli Tian

и другие.

Urban Climate, Год журнала: 2024, Номер 56, С. 102055 - 102055

Опубликована: Июль 1, 2024

Язык: Английский

Процитировано

0

Black Carbon Concentration and Potential Source Regions: A Case Study of the Yellow River Basin in Shandong Province, China DOI Creative Commons
Yuxia Wang,

Yanni Rong,

Kai Qu

и другие.

Aerosol and Air Quality Research, Год журнала: 2024, Номер 24(8), С. 240024 - 240024

Опубликована: Янв. 1, 2024

Black carbon (BC) concentrations and potential source regions were analyzed for nine cities in the Yellow River Basin Shandong Province from September 2021 to August 2022. Higher BC found Jinan, Tai'an, Jining, Dezhou, situated central part of study area. concentration exhibited highest values winter, followed by autumn, spring summer all excluding Jinan. The monthly average Jinan ranged 0.69 3.92 μg m-3. a pronounced diurnal variation, which decreased morning peak afternoon. analysis related pollutants revealed that shared similar sources with PM2.5 CO, influenced distribution surrounding high-energy-consuming industries. exhibits correlation 0.51 0.56 SO2 NO2 summer, indicating is more affected traffic emissions compared industrial High associated poor diffusion conditions due terrain meteorology. may contribute high land surface temperature (LST) during summer. backward trajectory showed area varied considerably different seasons. In winter mainly came local emissions. While regional transport had equal contribution as emissions, cannot be ignored. findings provide insights protecting atmospheric environment promoting high-quality development

Язык: Английский

Процитировано

0