{"title":"降尘颗粒物的化学元素分析和居住区污染源的识别","authors":"Hongjie Wang, Chang Song, Xiaochun Cong","doi":"10.1007/s11869-024-01534-1","DOIUrl":null,"url":null,"abstract":"<div><p>In order to clarify the impact of dust generated during production operations at a coal port on the regional atmospheric environment, the dustfall particles from October 2021 to September 2022 were sampled. The chemical fractions of dustfall particles are determined and the seasonal distribution characteristics are analyzed. The study shows that the annual average content of total carbon (TC) of the dustfall particles is 45.10%, which includes organic carbon (OC) and elemental carbon (EC), with annual average contents of 35.61% and 9.49%, respectively. And the contributions of primary organic carbon (POC) and secondary organic carbon (SOC) to OC are 41.00% and 59.00%, respectively. The generation of SOC is 3.27 t/(km<sup>2</sup>·30d), which makes up 21.42% of dustfall mass concentration. The measurements of water-soluble anions and cations reveal the annual average concentration of anions and cations is 2.88 t/(km<sup>2</sup>·30d) with a proportion of 22.97%. And the content of secondary ions (SO<sub>4</sub><sup>2−</sup>, NO<sub>3</sub><sup>−</sup> and NH<sub>4</sub><sup>+</sup>) accounts for 9.19%. The positive definite matrix factor (PMF) model shows the main sources of atmospheric particulate matter in the port are coal-combustion sources (36.47%), dust sources (12.14%), ship emissions (12.44%), industrial emissions (14.75%), marine sources and their secondary sources (8.61%) and mobile road sources (15.59%). The study enriches the basic data of air pollution for atmospheric pollution control in the port.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"17 8","pages":"1645 - 1659"},"PeriodicalIF":2.9000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chemical elemental analysis of dustfall particulate matter and identification of pollution sources at a habour area\",\"authors\":\"Hongjie Wang, Chang Song, Xiaochun Cong\",\"doi\":\"10.1007/s11869-024-01534-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In order to clarify the impact of dust generated during production operations at a coal port on the regional atmospheric environment, the dustfall particles from October 2021 to September 2022 were sampled. The chemical fractions of dustfall particles are determined and the seasonal distribution characteristics are analyzed. The study shows that the annual average content of total carbon (TC) of the dustfall particles is 45.10%, which includes organic carbon (OC) and elemental carbon (EC), with annual average contents of 35.61% and 9.49%, respectively. And the contributions of primary organic carbon (POC) and secondary organic carbon (SOC) to OC are 41.00% and 59.00%, respectively. The generation of SOC is 3.27 t/(km<sup>2</sup>·30d), which makes up 21.42% of dustfall mass concentration. The measurements of water-soluble anions and cations reveal the annual average concentration of anions and cations is 2.88 t/(km<sup>2</sup>·30d) with a proportion of 22.97%. And the content of secondary ions (SO<sub>4</sub><sup>2−</sup>, NO<sub>3</sub><sup>−</sup> and NH<sub>4</sub><sup>+</sup>) accounts for 9.19%. The positive definite matrix factor (PMF) model shows the main sources of atmospheric particulate matter in the port are coal-combustion sources (36.47%), dust sources (12.14%), ship emissions (12.44%), industrial emissions (14.75%), marine sources and their secondary sources (8.61%) and mobile road sources (15.59%). The study enriches the basic data of air pollution for atmospheric pollution control in the port.</p></div>\",\"PeriodicalId\":49109,\"journal\":{\"name\":\"Air Quality Atmosphere and Health\",\"volume\":\"17 8\",\"pages\":\"1645 - 1659\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Quality Atmosphere and Health\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11869-024-01534-1\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality Atmosphere and Health","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11869-024-01534-1","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Chemical elemental analysis of dustfall particulate matter and identification of pollution sources at a habour area
In order to clarify the impact of dust generated during production operations at a coal port on the regional atmospheric environment, the dustfall particles from October 2021 to September 2022 were sampled. The chemical fractions of dustfall particles are determined and the seasonal distribution characteristics are analyzed. The study shows that the annual average content of total carbon (TC) of the dustfall particles is 45.10%, which includes organic carbon (OC) and elemental carbon (EC), with annual average contents of 35.61% and 9.49%, respectively. And the contributions of primary organic carbon (POC) and secondary organic carbon (SOC) to OC are 41.00% and 59.00%, respectively. The generation of SOC is 3.27 t/(km2·30d), which makes up 21.42% of dustfall mass concentration. The measurements of water-soluble anions and cations reveal the annual average concentration of anions and cations is 2.88 t/(km2·30d) with a proportion of 22.97%. And the content of secondary ions (SO42−, NO3− and NH4+) accounts for 9.19%. The positive definite matrix factor (PMF) model shows the main sources of atmospheric particulate matter in the port are coal-combustion sources (36.47%), dust sources (12.14%), ship emissions (12.44%), industrial emissions (14.75%), marine sources and their secondary sources (8.61%) and mobile road sources (15.59%). The study enriches the basic data of air pollution for atmospheric pollution control in the port.
期刊介绍：
Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health.
It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes.
International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals.
Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements.
This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
