Tracking Daily Concentrations of PM2.5 Chemical Composition in China since 2000
PM2.5 chemical components play significant roles in the climate, air quality, and public health, and the roles vary due to their different physicochemical properties. Obtaining accurate and timely updated information on China's PM2.5 chemical composition is the basis for research and environmen...
Gespeichert in:
| Veröffentlicht in: | Environmental science & technology Jg. 56; H. 22; S. 16517 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
15.11.2022
|
| ISSN: | 1520-5851, 1520-5851 |
| Online-Zugang: | Weitere Angaben |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | PM2.5 chemical components play significant roles in the climate, air quality, and public health, and the roles vary due to their different physicochemical properties. Obtaining accurate and timely updated information on China's PM2.5 chemical composition is the basis for research and environmental management. Here, we developed a full-coverage near-real-time PM2.5 chemical composition data set at 10 km spatial resolution since 2000, combining the Weather Research and Forecasting-Community Multiscale Air Quality modeling system, ground observations, a machine learning algorithm, and multisource-fusion PM2.5 data. PM2.5 chemical components in our data set are in good agreement with the available observations (correlation coefficients range from 0.64 to 0.75 at a monthly scale from 2000 to 2020 and from 0.67 to 0.80 at a daily scale from 2013 to 2020; most normalized mean biases within ±20%). Our data set reveals the long-term trends in PM2.5 chemical composition in China, especially the rapid decreases after 2013 for sulfate, nitrate, ammonium, organic matter, and black carbon, at the rate of -9.0, -7.2, -8.1, -8.4, and -9.2% per year, respectively. The day-to-day variability is also well captured, including evolutions in spatial distribution and shares of PM2.5 components. As part of Tracking Air Pollution in China (http://tapdata.org.cn), this daily-updated data set provides large opportunities for health and climate research as well as policy-making in China.PM2.5 chemical components play significant roles in the climate, air quality, and public health, and the roles vary due to their different physicochemical properties. Obtaining accurate and timely updated information on China's PM2.5 chemical composition is the basis for research and environmental management. Here, we developed a full-coverage near-real-time PM2.5 chemical composition data set at 10 km spatial resolution since 2000, combining the Weather Research and Forecasting-Community Multiscale Air Quality modeling system, ground observations, a machine learning algorithm, and multisource-fusion PM2.5 data. PM2.5 chemical components in our data set are in good agreement with the available observations (correlation coefficients range from 0.64 to 0.75 at a monthly scale from 2000 to 2020 and from 0.67 to 0.80 at a daily scale from 2013 to 2020; most normalized mean biases within ±20%). Our data set reveals the long-term trends in PM2.5 chemical composition in China, especially the rapid decreases after 2013 for sulfate, nitrate, ammonium, organic matter, and black carbon, at the rate of -9.0, -7.2, -8.1, -8.4, and -9.2% per year, respectively. The day-to-day variability is also well captured, including evolutions in spatial distribution and shares of PM2.5 components. As part of Tracking Air Pollution in China (http://tapdata.org.cn), this daily-updated data set provides large opportunities for health and climate research as well as policy-making in China. |
|---|---|
| AbstractList | PM2.5 chemical components play significant roles in the climate, air quality, and public health, and the roles vary due to their different physicochemical properties. Obtaining accurate and timely updated information on China's PM2.5 chemical composition is the basis for research and environmental management. Here, we developed a full-coverage near-real-time PM2.5 chemical composition data set at 10 km spatial resolution since 2000, combining the Weather Research and Forecasting-Community Multiscale Air Quality modeling system, ground observations, a machine learning algorithm, and multisource-fusion PM2.5 data. PM2.5 chemical components in our data set are in good agreement with the available observations (correlation coefficients range from 0.64 to 0.75 at a monthly scale from 2000 to 2020 and from 0.67 to 0.80 at a daily scale from 2013 to 2020; most normalized mean biases within ±20%). Our data set reveals the long-term trends in PM2.5 chemical composition in China, especially the rapid decreases after 2013 for sulfate, nitrate, ammonium, organic matter, and black carbon, at the rate of -9.0, -7.2, -8.1, -8.4, and -9.2% per year, respectively. The day-to-day variability is also well captured, including evolutions in spatial distribution and shares of PM2.5 components. As part of Tracking Air Pollution in China (http://tapdata.org.cn), this daily-updated data set provides large opportunities for health and climate research as well as policy-making in China.PM2.5 chemical components play significant roles in the climate, air quality, and public health, and the roles vary due to their different physicochemical properties. Obtaining accurate and timely updated information on China's PM2.5 chemical composition is the basis for research and environmental management. Here, we developed a full-coverage near-real-time PM2.5 chemical composition data set at 10 km spatial resolution since 2000, combining the Weather Research and Forecasting-Community Multiscale Air Quality modeling system, ground observations, a machine learning algorithm, and multisource-fusion PM2.5 data. PM2.5 chemical components in our data set are in good agreement with the available observations (correlation coefficients range from 0.64 to 0.75 at a monthly scale from 2000 to 2020 and from 0.67 to 0.80 at a daily scale from 2013 to 2020; most normalized mean biases within ±20%). Our data set reveals the long-term trends in PM2.5 chemical composition in China, especially the rapid decreases after 2013 for sulfate, nitrate, ammonium, organic matter, and black carbon, at the rate of -9.0, -7.2, -8.1, -8.4, and -9.2% per year, respectively. The day-to-day variability is also well captured, including evolutions in spatial distribution and shares of PM2.5 components. As part of Tracking Air Pollution in China (http://tapdata.org.cn), this daily-updated data set provides large opportunities for health and climate research as well as policy-making in China. |
| Author | Xiao, Qingyang Liu, Xiaodong Geng, Guannan Zhang, Qiang Zheng, Yixuan Cheng, Jing Liu, Shigan |
| Author_xml | – sequence: 1 givenname: Shigan surname: Liu fullname: Liu, Shigan – sequence: 2 givenname: Guannan surname: Geng fullname: Geng, Guannan – sequence: 3 givenname: Qingyang surname: Xiao fullname: Xiao, Qingyang – sequence: 4 givenname: Yixuan surname: Zheng fullname: Zheng, Yixuan – sequence: 5 givenname: Xiaodong surname: Liu fullname: Liu, Xiaodong – sequence: 6 givenname: Jing surname: Cheng fullname: Cheng, Jing – sequence: 7 givenname: Qiang surname: Zhang fullname: Zhang, Qiang |
| BookMark | eNpNTz1PwzAQtVCRaIGZ1SNLwvkc52NE4VMqKkOZq-v1AobULnU68O8JgoHpPb0v6c3UJMQgSl0YyA2guSJOuaQhR4bSGThSU-MQMlc7M_nHT9QspXcAQAv1VC2We-IPH171Dfn-S7cxsIRhT4OPIenY6ecnzJ1u32TrmfoxsN3F5H9s7cOo-0A6-bGlcVw9U8cd9UnO__BUvdzdLtuHbL64f2yv5xnZohgyLgXXVMHGYckEtkJrGYhAAJuOGsFKmnpdN7zBkgBBUMgVdt2w6ZgFT9Xl7-5uHz8P4-_V1ieWvqcg8ZBWWFlTYFmNv78BwkhT_A |
| ContentType | Journal Article |
| DBID | 7X8 |
| DOI | 10.1021/acs.est.2c06510 |
| DatabaseName | MEDLINE - Academic |
| DatabaseTitle | MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | no_fulltext_linktorsrc |
| Discipline | Engineering Environmental Sciences |
| EISSN | 1520-5851 |
| GroupedDBID | --- -DZ -~X ..I .DC .K2 3R3 4.4 4R4 53G 55A 5GY 5VS 6TJ 7X8 7~N 85S AABXI AAHBH ABBLG ABJNI ABLBI ABMVS ABOGM ABPPZ ABQRX ABUCX ACGFS ACGOD ACIWK ACJ ACPRK ACS ADHLV ADUKH AEESW AENEX AFEFF AFRAH AGXLV AHGAQ ALMA_UNASSIGNED_HOLDINGS AQSVZ BAANH BKOMP CS3 CUPRZ EBS ED~ F5P GGK GNL IH9 JG~ LG6 MS~ MW2 PQQKQ ROL RXW TN5 TWZ U5U UHB UI2 UKR UPT VF5 VG9 W1F WH7 XSW XZL YZZ ZCA |
| ID | FETCH-LOGICAL-a344t-c6e2ba70d526ca037233c0aa0e029fa9e27e98b89cd26a020e2ea543b9c1fcce2 |
| IEDL.DBID | 7X8 |
| ISICitedReferencesCount | 209 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000879409900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1520-5851 |
| IngestDate | Thu Jul 10 22:06:44 EDT 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 22 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-a344t-c6e2ba70d526ca037233c0aa0e029fa9e27e98b89cd26a020e2ea543b9c1fcce2 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/9670839 |
| PQID | 2731426715 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_2731426715 |
| PublicationCentury | 2000 |
| PublicationDate | 20221115 |
| PublicationDateYYYYMMDD | 2022-11-15 |
| PublicationDate_xml | – month: 11 year: 2022 text: 20221115 day: 15 |
| PublicationDecade | 2020 |
| PublicationTitle | Environmental science & technology |
| PublicationYear | 2022 |
| SSID | ssj0002308 |
| Score | 2.7046661 |
| Snippet | PM2.5 chemical components play significant roles in the climate, air quality, and public health, and the roles vary due to their different physicochemical... |
| SourceID | proquest |
| SourceType | Aggregation Database |
| StartPage | 16517 |
| Title | Tracking Daily Concentrations of PM2.5 Chemical Composition in China since 2000 |
| URI | https://www.proquest.com/docview/2731426715 |
| Volume | 56 |
| WOSCitedRecordID | wos000879409900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LSwMxEA5qPejBR7X4JoLX1Dz3cRKpLR609qDSW5nNzkJBdtWtgv_eZE2t4EXwPkuWZDIzmcf3EXIW6djkmQImEDjTWiGDxEjGtQAj0R15Q9P5eBMPh8l4nI5Cwq0ObZVzm9gY6ryyPkd-7tyscN4kFubi-YV51ihfXQ0UGsukpYRKPHVDPF6ghbvwuhmFM-6J5Mtf39A-4hxs3fVLSOt8sOC_LHHjXgab__2xLbIRAkt6-aUJ22QJyzZZ_wE32Cad_mKqzYmGa13vkDvnsazPmdMrmD590J6fZSwDoG5Nq4KObmXX0Dm6APVWJHR70WlJGxJuWk_dV9QP5eySh0H_vnfNAtMCA6X1jNkIZQYxz42MLHAVS6UsB-DIZVpAijLGNMmS1OYyAhdhokQwWmWpFYW1KDtkpaxK3CM0SvLCY85gjlo7mTR3jxIrwekKGlvofXI638aJ02RfnoASq7d6stjIgz_IHJI16ScRfEeeOSKtwt1WPCar9n02rV9PGkX4BKvWvPs |
| linkProvider | ProQuest |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Tracking+Daily+Concentrations+of+PM2.5+Chemical+Composition+in+China+since+2000&rft.jtitle=Environmental+science+%26+technology&rft.au=Liu%2C+Shigan&rft.au=Geng%2C+Guannan&rft.au=Xiao%2C+Qingyang&rft.au=Zheng%2C+Yixuan&rft.date=2022-11-15&rft.issn=1520-5851&rft.eissn=1520-5851&rft.volume=56&rft.issue=22&rft.spage=16517&rft_id=info:doi/10.1021%2Facs.est.2c06510&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1520-5851&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1520-5851&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1520-5851&client=summon |