{"title":"使用 PMF 受体建模法对印度工业区西部地区的 PM10 化学特征和来源分配进行分析。","authors":"Seema Nihalani, Namrata Jariwala, Anjali Khambete","doi":"10.1007/s41810-024-00240-w","DOIUrl":null,"url":null,"abstract":"<div><p>Particulate matter (PM) air pollution is one of India’s biggest issues due to the country’s rapid growth as a result of expanding urbanisation, growing industrialisation, and other related human activities. This means that the PM pollution levels that the Indian population is exposed to are among the highest in the world, increasing the risk of respiratory ailments, hospital admissions, and early deaths. Most of the research on PM conducted in India focused on large cities such as Delhi, Hyderabad, Mumbai, Bangalore, Kolkata, Chennai, etc. A comprehensive literature review reveals that there are relatively few studies on PM in and around western Indian industrial areas, especially in Gujarat’s Vapi and Ankleshwar. Therefore, in the current study, a comprehensive investigation of the chemical composition of PM containing Elemental Carbon-Organic carbon (EC-OC), Water soluble ions (WSIs), and marker elements is performed for the industrial area of Ankleshwar followed by a source apportionment study using Positive Matrix Factorization (PMF) receptor model. For each of the six locations, twenty samples were taken in February 2020. The PM<sub>10</sub> mass for the study area is found to be in the range of 100.98 to 225.47 µg/m<sup>3</sup>, which is higher than the National Ambient Air quality norm of 100 µg/m<sup>3</sup> for 24 h. The contribution of EC & OC is between 44 and 48%, WSI’s is 21–26%, and elements are found to be between 29 and 31%. Source apportionment study performed by the PMF receptor model exhibited the influence from various sources as 27.73% from crustal or soil dust, 22.94% from fossil fuel combustion, 17.94% from vehicular emissions, 13.97% from secondary aerosols, 9.10% from biomass burning, and 8.32% from industrial emissions. This investigation shall further help to devise pollution abetment strategies and improve the ambient air quality for the study area. The source that is responsible for higher PM<sub>10</sub> or PM<sub>2.5</sub> concentrations shall be given higher priority while devising control strategies for air pollution control.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"9 1","pages":"13 - 29"},"PeriodicalIF":1.6000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chemical Characteristics and Source Apportionment of PM10 Using PMF Receptor Modelling Approach for Western Parts of Indian Industrial Area.\",\"authors\":\"Seema Nihalani, Namrata Jariwala, Anjali Khambete\",\"doi\":\"10.1007/s41810-024-00240-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Particulate matter (PM) air pollution is one of India’s biggest issues due to the country’s rapid growth as a result of expanding urbanisation, growing industrialisation, and other related human activities. This means that the PM pollution levels that the Indian population is exposed to are among the highest in the world, increasing the risk of respiratory ailments, hospital admissions, and early deaths. Most of the research on PM conducted in India focused on large cities such as Delhi, Hyderabad, Mumbai, Bangalore, Kolkata, Chennai, etc. A comprehensive literature review reveals that there are relatively few studies on PM in and around western Indian industrial areas, especially in Gujarat’s Vapi and Ankleshwar. Therefore, in the current study, a comprehensive investigation of the chemical composition of PM containing Elemental Carbon-Organic carbon (EC-OC), Water soluble ions (WSIs), and marker elements is performed for the industrial area of Ankleshwar followed by a source apportionment study using Positive Matrix Factorization (PMF) receptor model. For each of the six locations, twenty samples were taken in February 2020. The PM<sub>10</sub> mass for the study area is found to be in the range of 100.98 to 225.47 µg/m<sup>3</sup>, which is higher than the National Ambient Air quality norm of 100 µg/m<sup>3</sup> for 24 h. The contribution of EC & OC is between 44 and 48%, WSI’s is 21–26%, and elements are found to be between 29 and 31%. Source apportionment study performed by the PMF receptor model exhibited the influence from various sources as 27.73% from crustal or soil dust, 22.94% from fossil fuel combustion, 17.94% from vehicular emissions, 13.97% from secondary aerosols, 9.10% from biomass burning, and 8.32% from industrial emissions. This investigation shall further help to devise pollution abetment strategies and improve the ambient air quality for the study area. The source that is responsible for higher PM<sub>10</sub> or PM<sub>2.5</sub> concentrations shall be given higher priority while devising control strategies for air pollution control.</p></div>\",\"PeriodicalId\":36991,\"journal\":{\"name\":\"Aerosol Science and Engineering\",\"volume\":\"9 1\",\"pages\":\"13 - 29\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aerosol Science and Engineering\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s41810-024-00240-w\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerosol Science and Engineering","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s41810-024-00240-w","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Chemical Characteristics and Source Apportionment of PM10 Using PMF Receptor Modelling Approach for Western Parts of Indian Industrial Area.
Particulate matter (PM) air pollution is one of India’s biggest issues due to the country’s rapid growth as a result of expanding urbanisation, growing industrialisation, and other related human activities. This means that the PM pollution levels that the Indian population is exposed to are among the highest in the world, increasing the risk of respiratory ailments, hospital admissions, and early deaths. Most of the research on PM conducted in India focused on large cities such as Delhi, Hyderabad, Mumbai, Bangalore, Kolkata, Chennai, etc. A comprehensive literature review reveals that there are relatively few studies on PM in and around western Indian industrial areas, especially in Gujarat’s Vapi and Ankleshwar. Therefore, in the current study, a comprehensive investigation of the chemical composition of PM containing Elemental Carbon-Organic carbon (EC-OC), Water soluble ions (WSIs), and marker elements is performed for the industrial area of Ankleshwar followed by a source apportionment study using Positive Matrix Factorization (PMF) receptor model. For each of the six locations, twenty samples were taken in February 2020. The PM10 mass for the study area is found to be in the range of 100.98 to 225.47 µg/m3, which is higher than the National Ambient Air quality norm of 100 µg/m3 for 24 h. The contribution of EC & OC is between 44 and 48%, WSI’s is 21–26%, and elements are found to be between 29 and 31%. Source apportionment study performed by the PMF receptor model exhibited the influence from various sources as 27.73% from crustal or soil dust, 22.94% from fossil fuel combustion, 17.94% from vehicular emissions, 13.97% from secondary aerosols, 9.10% from biomass burning, and 8.32% from industrial emissions. This investigation shall further help to devise pollution abetment strategies and improve the ambient air quality for the study area. The source that is responsible for higher PM10 or PM2.5 concentrations shall be given higher priority while devising control strategies for air pollution control.
期刊介绍：
ASE is an international journal that publishes high-quality papers, communications, and discussion that advance aerosol science and engineering. Acceptable article forms include original research papers, review articles, letters, commentaries, news and views, research highlights, editorials, correspondence, and new-direction columns. ASE emphasizes the application of aerosol technology to both environmental and technical issues, and it provides a platform not only for basic research but also for industrial interests. We encourage scientists and researchers to submit papers that will advance our knowledge of aerosols and highlight new approaches for aerosol studies and new technologies for pollution control. ASE promotes cutting-edge studies of aerosol science and state-of-art instrumentation, but it is not limited to academic topics and instead aims to bridge the gap between basic science and industrial applications. ASE accepts papers covering a broad range of aerosol-related topics, including aerosol physical and chemical properties, composition, formation, transport and deposition, numerical simulation of air pollution incidents, chemical processes in the atmosphere, aerosol control technologies and industrial applications. In addition, ASE welcomes papers involving new and advanced methods and technologies that focus on aerosol pollution, sampling and analysis, including the invention and development of instrumentation, nanoparticle formation, nano technology, indoor and outdoor air quality monitoring, air pollution control, and air pollution remediation and feasibility assessments.
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