NPJ clean airPub Date : 2025-01-01Epub Date: 2025-03-12DOI: 10.1038/s44407-024-00001-6
Ying Chen
{"title":"Air pollution in New Delhi is more severe than observed due to hygroscopicity-induced bias in aerosol sampling.","authors":"Ying Chen","doi":"10.1038/s44407-024-00001-6","DOIUrl":"10.1038/s44407-024-00001-6","url":null,"abstract":"<p><p>New Delhi, India, is suffering from one of the worst air quality in the world, estimated to be responsible for 10,000 premature deaths per year. Although the high pollution level of fine particulate matter (PM<sub>1</sub>) in New Delhi has attracted global attention, the true level of PM<sub>1</sub> pollution could still be underestimated due to the inherent sampling bias associated with particle hygroscopic growth. This study compiles a comprehensive in-situ observation dataset from a series of recent studies in New Delhi, to quantify hygroscopicity-induced bias for the first time, and found that the more severe pollution the larger underestimation, and report the underestimate can be up to 20% (or 50 µg/m<sup>3</sup>) of PM<sub>1</sub> concentration on average in humid winter morning rush hours. This study fills in the gap of the understanding of PM<sub>1</sub> pollution in the most polluted megacity in the world, and provides a calibration approach for future studies to develop better understanding of air quality in New Delhi.</p>","PeriodicalId":520468,"journal":{"name":"NPJ clean air","volume":"1 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11917838/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143660304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NPJ clean airPub Date : 2025-01-01Epub Date: 2025-04-28DOI: 10.1038/s44407-025-00006-9
Jiemei Liu, Jørgen Brandt, Jesper H Christensen, Zhuyun Ye, Tingsen Chen, Shikui Dong, Camilla Geels, Yuan Yuan, Athanasios Nenes, Ulas Im
{"title":"The recent and future PM<sub>2.5</sub>-related health burden in China apportioned by emission source.","authors":"Jiemei Liu, Jørgen Brandt, Jesper H Christensen, Zhuyun Ye, Tingsen Chen, Shikui Dong, Camilla Geels, Yuan Yuan, Athanasios Nenes, Ulas Im","doi":"10.1038/s44407-025-00006-9","DOIUrl":"https://doi.org/10.1038/s44407-025-00006-9","url":null,"abstract":"<p><p>This study estimated PM<sub>2.5</sub> (atmospheric fine particulate matter with aerodynamic diameter ≤2.5 µg) concentrations and the health burden in mainland China from 2010 to 2049 under two scenarios: Current Legistaions and Maximum Technical Feasible Reductions. We assess premature deaths from PM<sub>2.5</sub> exposure, examining sources like coal combustion, biomass burning, industry, and tailpipe emission from on-road transport. Results show that central and eastern China account for 75% of PM<sub>2.5</sub>-related deaths, with biomass burning (40%) and industry (34%) as primary contributors. Under the Current Legistaions and Maximum Technical Feasible Reductions scenarios, PM<sub>2.5</sub>-related premature deaths are projected to decrease by 43% and 80% (linear EVA) and by 28% increase and 40% decrease (nonlinear EVA) from 2010 to 2049. Assuming a linear relationship, the Maximum Technical Feasible Reductions scenario estimates that reduced PM<sub>2.5</sub> exposure could avoid 1.55 million premature deaths annually by 2049 compared to 2010, primarily from coal combustion for heating, biomass burning, industry, and tailpipe emission from on-road transport.</p>","PeriodicalId":520468,"journal":{"name":"NPJ clean air","volume":"1 1","pages":"7"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12037407/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144038109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}