Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Zheng, Huang | - |
dc.contributor.author | Kong, Shaofei | - |
dc.contributor.author | Seo, Jihoon | - |
dc.contributor.author | Yan, Yingying | - |
dc.contributor.author | Cheng, Yi | - |
dc.contributor.author | Yao, Liquan | - |
dc.contributor.author | Wang, Yanxin | - |
dc.contributor.author | Zhao, Tianliang | - |
dc.contributor.author | Harrison, Roy M. | - |
dc.date.accessioned | 2024-02-07T05:11:31Z | - |
dc.date.available | 2024-02-07T05:11:31Z | - |
dc.date.created | 2024-02-07 | - |
dc.date.issued | 2024-01 | - |
dc.identifier.issn | 0160-4120 | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/148522 | - |
dc.description.abstract | Due to the implementation of air pollution control measures in China, air quality has significantly improved, although there are still additional issues to be addressed. This study used the long-term trends of air pollutants to discuss the achievements and challenges in further improving air quality in China. The Kolmogorov-Zurbenko (KZ) filter and multiple-linear regression (MLR) were used to quantify the meteorology-related and emission-related trends of air pollutants from 2014 to 2022 in China. The KZ filter analysis showed that PM2.5 decreased by 7.36 +/- 2.92% yr(-1), while daily maximum 8-h ozone (MDA8 O-3) showed an increasing trend with 3.71 +/- 2.89% yr(-1) in China. The decrease in PM2.5 and increase in MDA8 O-3 were primarily attributed to changes in emission, with the relative contribution of 85.8% and 86.0%, respectively. Meteorology variations, including increased ambient temperature, boundary layer height, and reduced relative humidity, also contributed to the reduction of PM2.5 and the enhancement of MDA8 O-3. The emission-related trends of PM2.5 and MDA8 O-3 exhibited continuous decrease and increase, respectively, from 2014 to 2022, while the variation rates slowed during 2018-2020 compared to that during 2014-2017, highlighting the challenges in further improving air quality, particularly in simultaneously reducing PM2.5 and O-3. This study recommends reducing NH3 emissions from the agriculture sector in rural areas and transport emissions in urban areas to further decrease PM2.5 levels. Addressing O-3 pollution requires the reduction of O-3 precursor gases based on site-specific atmospheric chemistry considerations. | - |
dc.language | English | - |
dc.publisher | Elsevier Ltd. | - |
dc.title | Achievements and challenges in improving air quality in China: Analysis of the long-term trends from 2014 to 2022 | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.envint.2023.108361 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | Environment International, v.183 | - |
dc.citation.title | Environment International | - |
dc.citation.volume | 183 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.wosid | 001141178400001 | - |
dc.identifier.scopusid | 2-s2.0-85182210208 | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | CONTROL ACTION PLAN | - |
dc.subject.keywordPlus | ANTHROPOGENIC EMISSIONS | - |
dc.subject.keywordPlus | BLACK CARBON | - |
dc.subject.keywordPlus | METEOROLOGICAL NORMALIZATION | - |
dc.subject.keywordPlus | INTERANNUAL VARIATIONS | - |
dc.subject.keywordPlus | POLLUTION PREVENTION | - |
dc.subject.keywordPlus | OZONE SENSITIVITY | - |
dc.subject.keywordPlus | AMMONIA EMISSIONS | - |
dc.subject.keywordPlus | PM2.5 POLLUTION | - |
dc.subject.keywordPlus | CLIMATE-CHANGE | - |
dc.subject.keywordAuthor | Air pollution | - |
dc.subject.keywordAuthor | PM2.5 reduction | - |
dc.subject.keywordAuthor | O-3 pollution | - |
dc.subject.keywordAuthor | Kolmogorov-Zurbenko filter | - |
dc.subject.keywordAuthor | Emission and meteorology impact | - |
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