{"title":"印度污染最严重地区九个地点长达三年的PM2.5/PM10比率","authors":"Lakshya Sethi, Lovleen Gupta, Anoushka Raj","doi":"10.1007/s41810-023-00189-2","DOIUrl":null,"url":null,"abstract":"<div><p>PM<sub>2.5</sub>/PM<sub>10</sub> ratio is essential for understanding particulate pollution’s severity and adverse effects on human beings as it reveals how long the particle will stay in the atmosphere and where it will deposit in the human respiratory tract. The present study focuses on the spatio-temporal variability of the PM<sub>2.5</sub>/PM<sub>10</sub> ratio from nine sites (six in Delhi, one each in Amritsar, Varanasi and Kolkata) in the Indo-Gangetic Plain (IGP) during the last 3 years (2019–2021) before, during, and after the COVID-19 pandemic-induced lockdown in India. Robust statistics such as median and percentiles have been employed to avoid bias due to non-normal distributions. Considerable spatial and temporal variability was seen throughout the 3 years. Amritsar and one site in Delhi exhibited the least temporal variability in PM<sub>2.5</sub>/PM<sub>10</sub> (~ 10%) annually. However, the highest average variation over the 3 years was ~ 28%, noticed for one site in Delhi. The PM<sub>2.5</sub>/PM<sub>10</sub> ratio was high (~ 0.6 ± 0.1) during the post-monsoon (Oct–Dec) and winter (Jan–Feb) seasons. The PM<sub>2.5</sub>/PM<sub>10</sub> ratio was low (~ 0.4 ± 0.1) in the monsoon season (June–Sep.) and pre-monsoon season (Mar–May). Conditional Bivariate Probability Function (CBPF) and Cluster Analysis using Hysplit data were done to assess the local and long-range source of pollutants arriving at a receptor location. The impact of wind speed and relative humidity on the PM<sub>2.5</sub>/PM<sub>10</sub> ratio was also analysed. The results of this study would help establish an intricate policy framework for cities in the IGP.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s41810-023-00189-2.pdf","citationCount":"0","resultStr":"{\"title\":\"Three-Year-Long PM2.5/PM10 Ratio at Nine Sites in the Most Polluted Region in India\",\"authors\":\"Lakshya Sethi, Lovleen Gupta, Anoushka Raj\",\"doi\":\"10.1007/s41810-023-00189-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>PM<sub>2.5</sub>/PM<sub>10</sub> ratio is essential for understanding particulate pollution’s severity and adverse effects on human beings as it reveals how long the particle will stay in the atmosphere and where it will deposit in the human respiratory tract. The present study focuses on the spatio-temporal variability of the PM<sub>2.5</sub>/PM<sub>10</sub> ratio from nine sites (six in Delhi, one each in Amritsar, Varanasi and Kolkata) in the Indo-Gangetic Plain (IGP) during the last 3 years (2019–2021) before, during, and after the COVID-19 pandemic-induced lockdown in India. Robust statistics such as median and percentiles have been employed to avoid bias due to non-normal distributions. Considerable spatial and temporal variability was seen throughout the 3 years. Amritsar and one site in Delhi exhibited the least temporal variability in PM<sub>2.5</sub>/PM<sub>10</sub> (~ 10%) annually. However, the highest average variation over the 3 years was ~ 28%, noticed for one site in Delhi. The PM<sub>2.5</sub>/PM<sub>10</sub> ratio was high (~ 0.6 ± 0.1) during the post-monsoon (Oct–Dec) and winter (Jan–Feb) seasons. The PM<sub>2.5</sub>/PM<sub>10</sub> ratio was low (~ 0.4 ± 0.1) in the monsoon season (June–Sep.) and pre-monsoon season (Mar–May). Conditional Bivariate Probability Function (CBPF) and Cluster Analysis using Hysplit data were done to assess the local and long-range source of pollutants arriving at a receptor location. The impact of wind speed and relative humidity on the PM<sub>2.5</sub>/PM<sub>10</sub> ratio was also analysed. The results of this study would help establish an intricate policy framework for cities in the IGP.</p></div>\",\"PeriodicalId\":36991,\"journal\":{\"name\":\"Aerosol Science and Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s41810-023-00189-2.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aerosol Science and Engineering\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s41810-023-00189-2\",\"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/s41810-023-00189-2","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}
Three-Year-Long PM2.5/PM10 Ratio at Nine Sites in the Most Polluted Region in India
PM2.5/PM10 ratio is essential for understanding particulate pollution’s severity and adverse effects on human beings as it reveals how long the particle will stay in the atmosphere and where it will deposit in the human respiratory tract. The present study focuses on the spatio-temporal variability of the PM2.5/PM10 ratio from nine sites (six in Delhi, one each in Amritsar, Varanasi and Kolkata) in the Indo-Gangetic Plain (IGP) during the last 3 years (2019–2021) before, during, and after the COVID-19 pandemic-induced lockdown in India. Robust statistics such as median and percentiles have been employed to avoid bias due to non-normal distributions. Considerable spatial and temporal variability was seen throughout the 3 years. Amritsar and one site in Delhi exhibited the least temporal variability in PM2.5/PM10 (~ 10%) annually. However, the highest average variation over the 3 years was ~ 28%, noticed for one site in Delhi. The PM2.5/PM10 ratio was high (~ 0.6 ± 0.1) during the post-monsoon (Oct–Dec) and winter (Jan–Feb) seasons. The PM2.5/PM10 ratio was low (~ 0.4 ± 0.1) in the monsoon season (June–Sep.) and pre-monsoon season (Mar–May). Conditional Bivariate Probability Function (CBPF) and Cluster Analysis using Hysplit data were done to assess the local and long-range source of pollutants arriving at a receptor location. The impact of wind speed and relative humidity on the PM2.5/PM10 ratio was also analysed. The results of this study would help establish an intricate policy framework for cities in the IGP.
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.