2019
DOI: 10.1029/2018jd030120
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Radiative Effects of Residential Sector Emissions in China: Sensitivity to Uncertainty in Black Carbon Emissions

Abstract: Residential sector emissions of aerosols, primarily from solid fuels burned for cooking and heating purposes, are high in black carbon, a component that absorbs radiation efficiently across a wideband of wavelengths. Mitigation of residential sector emissions has been suggested as a method to rapidly reduce anthropogenic global warming. This study presents model results from a regional model with coupled chemistry, aerosols, and dynamics over an East Asian domain for January 2014 to investigate the radiative e… Show more

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Cited by 7 publications
(12 citation statements)
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“…A previous study by Archer-Nicholls et al (2019), which used the Maxwell-Garnett mixing-state assumption (i.e., BC spheres are randomly distributed within the homogenous particle composed of the more-scattering aerosol components), estimated that emissions from residential coal have a positive DRE (0.79 W m -2 and ranging from 1.38 to -0.01 W m -2 over Eastern China, due changing the BC:OA ratio), which would lead to a negative DRE from removing these emissions, the opposite of what we estimate. The estimate reported by Archer-Nicholls et al (2019) is larger in magnitude, likely because they excluded residential combustion (i.e., both biomass and coal use) across all of China, rather than just in Beijing or Beijing-Tianjin-Hebei. The difference in sign could be due to differences in aerosol absorption.…”
Section: Estimated Aerosol Direct Effect Of the Residential Coal Banmentioning
confidence: 88%
See 1 more Smart Citation
“…A previous study by Archer-Nicholls et al (2019), which used the Maxwell-Garnett mixing-state assumption (i.e., BC spheres are randomly distributed within the homogenous particle composed of the more-scattering aerosol components), estimated that emissions from residential coal have a positive DRE (0.79 W m -2 and ranging from 1.38 to -0.01 W m -2 over Eastern China, due changing the BC:OA ratio), which would lead to a negative DRE from removing these emissions, the opposite of what we estimate. The estimate reported by Archer-Nicholls et al (2019) is larger in magnitude, likely because they excluded residential combustion (i.e., both biomass and coal use) across all of China, rather than just in Beijing or Beijing-Tianjin-Hebei. The difference in sign could be due to differences in aerosol absorption.…”
Section: Estimated Aerosol Direct Effect Of the Residential Coal Banmentioning
confidence: 88%
“…These studies estimate that between 20 and 65% of ambient PM2.5 in Beijing-Tianjin-Hebei comes from residential coal heating, depending on emissions and atmospheric conditions (Liu et al, 2016;Xue et al, 2016;Zhang et al, 2017;Meng et al, 2019). Archer-Nicholls et al (2016) and Archer-Nicholls et al, (2019) estimated the health and radiative effects, respectively, of all residential biomass and coal use across China. Shen et al (2019) investigated the health and climate impacts of transitions in residential energy across China between 1992 and 2012.…”
Section: Introductionmentioning
confidence: 99%
“…We performed regional model simulations with the "online coupled" air quality model Weather Research and Forecasting with Chemistry model (WRF-Chem V3.5.1; Grell et al, 2005). WRF-Chem enables more detailed investigation of aerosol-radiation interaction over specific regions at higher horizontal resolution compared with global models, and it has been broadly used for investigating aerosol radiative forcing in previous studies (e.g., Archer-Nicholls et al, 2019;Fast et al, 2006;Saide et al, 2012;Gao et al, 2018;Yao et al, 2017;Huang et al, 2015). To investigate the impact of redistribution effect on PMSD and climate effect of nitrate, the fully dynamic aerosol module MOSAIC (Zaveri et al, 2008) was utilized with eight discrete size bins (39-78, 78-156, 156-312, 312-625, 625-1250 nm, 1.25-2.5, 2.5-5, 5-10 µm; see also Fig.…”
Section: Model Descriptionmentioning
confidence: 99%
“…We performed regional model simulations with the 'online coupled' air quality model Weather Research and Forecasting/Chemistry model (WRF-Chem V3.5.1, Grell et al, 2005). WRF-Chem enables more 105 detailed investigation of aerosol-radiation interaction over specific regions at higher horizontal resolution compared with global models, and has been broadly used for investigating aerosol radiative forcing in previous studies (e.g., Archer-Nicholls et al, 2019;Fast et al, 2006;Saide et al, 2012;Gao et al, 2018;Yao et al, 2017;Huang et al, 2015). To investigate the impact of 're-distribution effect' on PMSD and climate effect of nitrate, the fully dynamic aerosol module MOSAIC (Zaveri et al, 2008) was utilized with eight 110 discrete size bins (39-78 nm, 78-156 nm, 156-312 nm, 312-625 nm, 625-1250 nm, 1.25-2.5 µm, 2.5-5 µm, 5-10 µm; see also Fig.…”
Section: Model Descriptionmentioning
confidence: 99%