Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observations

Black carbon (BC) significantly influences climate, air quality, and public health, and long-Term observations are essential for understanding its adverse effects. While previous studies have primarily focused on spatiotemporal variations, deeper insights from such datasets remain uncovered. Using 1...

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Detalles Bibliográficos
Autores: Zheng, Huang, Kong, Shaofei, Ding, Deping, Savadkoohi, Marjan, Song, Congbo, Zheng, Mingming, Harrison, Roy M.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/408366
Acceso en línea:http://hdl.handle.net/10261/408366
https://api.elsevier.com/content/abstract/scopus_id/105022710917
Access Level:acceso abierto
Palabra clave:Black carbon aerosols
Aerosols
Public health
Pollution
http://metadata.un.org/sdg/3
http://metadata.un.org/sdg/9
http://metadata.un.org/sdg/11
http://metadata.un.org/sdg/13
Ensure healthy lives and promote well-being for all at all ages
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Make cities and human settlements inclusive, safe, resilient and sustainable
Take urgent action to combat climate change and its impacts
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spelling Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observationsZheng, HuangKong, ShaofeiDing, DepingSavadkoohi, MarjanSong, CongboZheng, MingmingHarrison, Roy M.Black carbon aerosolsAerosolsPublic healthPollutionhttp://metadata.un.org/sdg/3http://metadata.un.org/sdg/9http://metadata.un.org/sdg/11http://metadata.un.org/sdg/13Ensure healthy lives and promote well-being for all at all agesBuild resilient infrastructure, promote inclusive and sustainable industrialization and foster innovationMake cities and human settlements inclusive, safe, resilient and sustainableTake urgent action to combat climate change and its impactsBlack carbon (BC) significantly influences climate, air quality, and public health, and long-Term observations are essential for understanding its adverse effects. While previous studies have primarily focused on spatiotemporal variations, deeper insights from such datasets remain uncovered. Using 13 years (2008-2020) of continuous measurements of equivalent black carbon (eBC) in China, this study reported the spatial-Temporal variations of eBC and its sources, including solid fuel (eBCsf) and liquid fuel combustion (eBClf). The results showed that eBC and its sources exhibited higher concentrations in eastern and northern China compared to western and southern China. Seasonal variations of eBC and eBCsf generally showed lower values during summer and higher values during winter at most stations. Long-Term trends indicated that eBC and eBClf decreased most rapidly at urban stations, while eBCsf declined faster at rural stations. Comparisons of eBC concentrations and trends between this study and global observations revealed higher eBC levels but lower reduction rates in China. These long-Term observations showed that the model simulations performed well in simulating spatial distribution but poorly in capturing inter-Annual variations. The weather-normalized eBC concentrations showed potential for adjusting emission estimates. The normalized results also suggested that emission control was the dominant driver of the BC reduction. This decrease was primarily driven by reductions from solid fuel combustion at rural and background stations. This study provides insights for reducing uncertainties in black carbon emission inventories and improving model performance in simulating surface concentrations.This research has been supported by the National Natural Science Foundation of China (grant nos. 42307147, 42307151, and 41830965), the Ministry of Science and Technology of the People's Republic of China (grant no. 2016YFA0602002), and the European Commission, EU Horizon 2020 Framework Programme (grant no. 101036245).Peer reviewedEuropean Geosciences UnionEuropean Commission0000-0002-3707-26010000-0001-7948-48340000-0002-2684-5226Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/408366https://api.elsevier.com/content/abstract/scopus_id/105022710917reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/101036245Atmospheric Chemistry and Physicshttps://doi.org/10.5194/acp-25-16363-2025Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4083662026-05-22T06:33:51Z
dc.title.none.fl_str_mv Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observations
title Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observations
spellingShingle Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observations
Zheng, Huang
Black carbon aerosols
Aerosols
Public health
Pollution
http://metadata.un.org/sdg/3
http://metadata.un.org/sdg/9
http://metadata.un.org/sdg/11
http://metadata.un.org/sdg/13
Ensure healthy lives and promote well-being for all at all ages
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Make cities and human settlements inclusive, safe, resilient and sustainable
Take urgent action to combat climate change and its impacts
title_short Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observations
title_full Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observations
title_fullStr Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observations
title_full_unstemmed Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observations
title_sort Black carbon aerosols in China: Spatial-Temporal variations and lessons from long-Term atmospheric observations
dc.creator.none.fl_str_mv Zheng, Huang
Kong, Shaofei
Ding, Deping
Savadkoohi, Marjan
Song, Congbo
Zheng, Mingming
Harrison, Roy M.
author Zheng, Huang
author_facet Zheng, Huang
Kong, Shaofei
Ding, Deping
Savadkoohi, Marjan
Song, Congbo
Zheng, Mingming
Harrison, Roy M.
author_role author
author2 Kong, Shaofei
Ding, Deping
Savadkoohi, Marjan
Song, Congbo
Zheng, Mingming
Harrison, Roy M.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv European Commission
0000-0002-3707-2601
0000-0001-7948-4834
0000-0002-2684-5226
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Black carbon aerosols
Aerosols
Public health
Pollution
http://metadata.un.org/sdg/3
http://metadata.un.org/sdg/9
http://metadata.un.org/sdg/11
http://metadata.un.org/sdg/13
Ensure healthy lives and promote well-being for all at all ages
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Make cities and human settlements inclusive, safe, resilient and sustainable
Take urgent action to combat climate change and its impacts
topic Black carbon aerosols
Aerosols
Public health
Pollution
http://metadata.un.org/sdg/3
http://metadata.un.org/sdg/9
http://metadata.un.org/sdg/11
http://metadata.un.org/sdg/13
Ensure healthy lives and promote well-being for all at all ages
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Make cities and human settlements inclusive, safe, resilient and sustainable
Take urgent action to combat climate change and its impacts
description Black carbon (BC) significantly influences climate, air quality, and public health, and long-Term observations are essential for understanding its adverse effects. While previous studies have primarily focused on spatiotemporal variations, deeper insights from such datasets remain uncovered. Using 13 years (2008-2020) of continuous measurements of equivalent black carbon (eBC) in China, this study reported the spatial-Temporal variations of eBC and its sources, including solid fuel (eBCsf) and liquid fuel combustion (eBClf). The results showed that eBC and its sources exhibited higher concentrations in eastern and northern China compared to western and southern China. Seasonal variations of eBC and eBCsf generally showed lower values during summer and higher values during winter at most stations. Long-Term trends indicated that eBC and eBClf decreased most rapidly at urban stations, while eBCsf declined faster at rural stations. Comparisons of eBC concentrations and trends between this study and global observations revealed higher eBC levels but lower reduction rates in China. These long-Term observations showed that the model simulations performed well in simulating spatial distribution but poorly in capturing inter-Annual variations. The weather-normalized eBC concentrations showed potential for adjusting emission estimates. The normalized results also suggested that emission control was the dominant driver of the BC reduction. This decrease was primarily driven by reductions from solid fuel combustion at rural and background stations. This study provides insights for reducing uncertainties in black carbon emission inventories and improving model performance in simulating surface concentrations.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/408366
https://api.elsevier.com/content/abstract/scopus_id/105022710917
url http://hdl.handle.net/10261/408366
https://api.elsevier.com/content/abstract/scopus_id/105022710917
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/101036245
Atmospheric Chemistry and Physics
https://doi.org/10.5194/acp-25-16363-2025
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv European Geosciences Union
publisher.none.fl_str_mv European Geosciences Union
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
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