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Fine particulate matter (PM) exposure is a leading mortality risk factor in India and the surrounding region of South Asia. This study evaluates the contribution of emission sectors and fuels to PM mass for 29 states in India and 6 surrounding countries (Pakistan, Bangladesh, Nepal, Bhutan, Sri Lanka, and Myanmar) by combining source-specific emission estimates, stretched grid simulations from a chemical transport model, high resolution hybrid PM, and disease-specific mortality estimates. We find that 1.02 (95% Confidence Interval (CI): 0.78-1.26) million deaths in South Asia attributable to ambient PM in 2019 were primarily from three leading sectors: residential combustion (28%), industry (15%), and power generation (12%). Solid biofuel is the leading combustible fuel contributing to the PM-attributable mortality (31%), followed by coal (17%), and oil and gas (14%). State-level analyses reveal higher residential combustion contributions (35%-39%) in states (Delhi, Uttar-Pradesh, Haryana) with high ambient PM (>95 μg/m). The combined mortality burden associated with residential combustion (ambient) and household air pollution (HAP) in India is 0.72 million (95% CI:0.54-0.89) (68% attributable to HAP, 32% attributable to residential combustion). Our results illustrate the potential to reduce PM mass and improve population health by reducing emissions from traditional energy sources across multiple sectors in South Asia.
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http://dx.doi.org/10.1021/acs.est.2c07641 | DOI Listing |
J Hazard Mater
September 2025
Faculty of Environmental and Symbiotic Sciences, Prefectural University of Kumamoto, Kumamoto 862-8502, Japan. Electronic address:
Particulate matter emitted from heavy industries is a major source of atmospheric metals in the North China Plain (NCP). In this study, submicron particles (0.1-1.
View Article and Find Full Text PDFJ Air Waste Manag Assoc
September 2025
Interdisciplinary Science Department, Brookhaven National Laboratory, Upton, NY, USA.
Emission factor data for existing heating appliances are being used to estimate achievable emission reductions with emerging heating technologies. However, the emission factors currently being used for modeling were developed prior to low-sulfur fuel standards and rely on a small number of studies, mostly focusing on steady-state operation. In this work, detailed emission measurements of typical heating equipment fired with natural gas and No.
View Article and Find Full Text PDFSensors (Basel)
August 2025
College of Chemistry, Liaoning University, Shenyang 110036, China.
Catalytic combustion gas sensors are critical for safety and environmental monitoring, yet face persistent challenges in sensitivity and detection limits amid expanding market demands. This study innovatively employs attapulgite as a support material functionalized with noble metal catalyst Pd to fabricate a low-cost, high-sensitivity sensor. Characterization (SEM/EDS) confirms a unique Pd/attapulgite core-shell structure with engineered Pd gradient distribution (7.
View Article and Find Full Text PDFSci Data
August 2025
Laboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
The residential sector in China is a major contributor to light-absorbing carbonaceous aerosols, including black carbon and brown carbon, which have significant impacts on climate change. This study developed a province-level inventory of optical emissions of carbonaceous aerosols from the residential sector in China from 1960 to 2019. The inventory was based on activity data from the PKU-GEMS database and absorption emission factors derived from laboratory-based combustion experiments, which reduced uncertainties associated with traditional mass-based methods relying on mass absorption efficiency.
View Article and Find Full Text PDFJ Environ Sci (China)
December 2025
Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India. Electronic address:
This study presents an emission inventory for 2022, focusing on assessing the emissions of PM, PM, NO, SO, CO, and VOC from India's road transport, residential, and thermal power sectors. Road transport emissions were estimated using a vehicle kilometer traveled methodology derived from a survey of 200,000 vehicles. A regression analysis was conducted to assess residential fuel usage, considering recent changes in consumption patterns and updated data on cleaner fuels.
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