2022
DOI: 10.1021/acs.est.1c05897
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Impact of Circular, Waste-Heat Reuse Pathways on PM2.5-Air Quality, CO2 Emissions, and Human Health in India: Comparison with Material Exchange Potential

Abstract: India is home to 1.3 billion people who are exposed to some of the highest levels of ambient air pollution in the world. In addition, India is one of the fastest-growing carbon-emitting countries. Here, we assess how two strategies to reuse waste-heat from coal-fired power plants and other large sources would impact PM 2.5 -air quality, human health, and CO 2 emissions in 2015 and a future year, 2050, using varying levels of policy adoption (current regulations, pr… Show more

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Cited by 3 publications
(2 citation statements)
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“…In addition, residential biomass burning for cooking and heating has exacerbated PM 2.5 exposure disparities in non-lockdown times throughout India [31,34]-with most of the burden on women and rural populations that use biomass as cooking fuel. Surprisingly, during the COVID-19 lockdown when families of similar strata were confined to presumably similar indoor environments, exposure disparities persisted, both in terms of actual PM 2.5 exposures as well as increases from baseline exposures.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, residential biomass burning for cooking and heating has exacerbated PM 2.5 exposure disparities in non-lockdown times throughout India [31,34]-with most of the burden on women and rural populations that use biomass as cooking fuel. Surprisingly, during the COVID-19 lockdown when families of similar strata were confined to presumably similar indoor environments, exposure disparities persisted, both in terms of actual PM 2.5 exposures as well as increases from baseline exposures.…”
Section: Discussionmentioning
confidence: 99%
“…5 exposure studies [29,30]) that incorporates uncertainties/distributions from both microenvironment PM 2.5 concentrations and the 24 h recall surveys to estimate average PM 2.5 exposures and 95% distributions for each Indian state's subpopulation groups (e.g. urban/rural, gender, and age; see SI section 1 for a detailed example of this framework for rural Uttar Pradesh women aged [30][31][32][33][34][35]. The PM 2.5 exposure approach outlined here assumes all urban or rural populations in a state have the same ambient exposure distribution for all outdoor activities, respectively, which has inherent misclassification errors, particularly considering the wide range of PM 2.5 concentrations observed in Indian cities at such fine scales [31].…”
Section: Estimating Baseline Pm 25 Exposures For Each Indian State's ...mentioning
confidence: 99%