Articles | Volume 18, issue 20
https://doi.org/10.5194/acp-18-15219-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-15219-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Oct 2018
Research article |
| 23 Oct 2018
| 23 Oct 2018
Source contributions and potential reductions to health effects of particulate matter in India
Hao Guo
Department of Civil and Environmental Engineering, Louisiana State
University, Baton Rouge, LA 70803, USA
Sri Harsha Kota
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Jiangsu Engineering Technology Research Center of
Environmental Cleaning Materials, Nanjing University of Information Science
& Technology, Nanjing 210044, China
Department of Civil Engineering, Indian Institute of Technology Delhi,
110016, India
Department of Civil Engineering, Indian Institute of Technology
Guwahati, 781039, India
Kaiyu Chen
Department of Civil and Environmental Engineering, Louisiana State
University, Baton Rouge, LA 70803, USA
Shovan Kumar Sahu
Department of Civil Engineering, Indian Institute of Technology
Guwahati, 781039, India
Jianlin Hu
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and
Pollution Control, Jiangsu Engineering Technology Research Center of
Environmental Cleaning Materials, Nanjing University of Information Science
& Technology, Nanjing 210044, China
Qi Ying
Zachry Department of Civil Engineering, Texas A&M University,
College Station, TX 77843, USA
Yuan Wang
Division of Geological and Planetary Sciences, California Institute of
Technology, Pasadena, CA 91106, USA
Department of Civil and Environmental Engineering, Louisiana State
University, Baton Rouge, LA 70803, USA
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- Utilizing LSTM models to predict PM2.5 levels during critical episodes in Delhi, the world's most polluted capital city S. Bedi et al. 10.1016/j.uclim.2024.101835
- Four year long simulation of carbonaceous aerosols in India: Seasonality, sources and associated health effects S. Sharma et al. 10.1016/j.envres.2022.113676
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- Application of machine learning (individual vs stacking) models on MERRA-2 data to predict surface PM2.5 concentrations over India A. Dhandapani et al. 10.1016/j.chemosphere.2023.139966
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- A complete transition to clean household energy can save one–quarter of the healthy life lost to particulate matter pollution exposure in India L. Conibear et al. 10.1088/1748-9326/ab8e8a
- Source Contributions to Fine Particulate Matter and Attributable Mortality in India and the Surrounding Region D. Chatterjee et al. 10.1021/acs.est.2c07641
- Understanding population exposure to size-segregated aerosol and associated trace elements during residential cooking in northeastern India: Implications for disease burden and health risk B. Sharma et al. 10.1016/j.scitotenv.2023.162539
- Decision Support System version 1.0 (DSS v1.0) for air quality management in Delhi, India G. Govardhan et al. 10.5194/gmd-17-2617-2024
1 citations as recorded by crossref.
Latest update: 30 Dec 2024
Short summary
A total of 1.04 million premature mortalities and up to 2 years of life lost (YLL) per person were estimated in India in 2015 due to PM2.5. Premature mortality due to cerebrovascular disease (CEVD) was the highest (0.44 million), followed by ischaemic heart disease (IHD, 0.40 million). The residential sector was the largest contributor, followed by industry, agriculture and energy. Reducing PM2.5 concentrations would lead to a significant reduction in premature mortality and YLL.
A total of 1.04 million premature mortalities and up to 2 years of life lost (YLL) per person...
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