A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Using the Community Multiscale Air Quality (CMAQ) model to estimate public health impacts of PM2.5 from individual power plants
https://orcid.org/0000-0001-7270-892X
https://orcid.org/0000-0002-1116-4006
Abstract We estimated PM2.5-related public health impacts/ton emitted of primary PM2.5, SO2, and NOx for a set of power plants in the Mid-Atlantic and Lower Great Lakes regions of the United States, selected to include varying emission profiles and broad geographic representation. We then developed a regression model explaining variability in impacts per ton emitted using the population distributions around each plant. We linked outputs from the Community Multiscale Air Quality (CMAQ) model v 4.7.1 with census data and concentration–response functions for PM2.5-related mortality, and monetized health estimates using the value-of-statistical-life. The median impacts for the final set of plants were $130,000/ton for primary PM2.5 (range: $22,000–230,000), $28,000/ton for SO2 (range: $19,000–33,000), and $16,000/ton for NOx (range: $7100–26,000). Impacts of NOx were a median of 34% (range: 20%–75%) from ammonium nitrate and 66% (range: 25%–79%) from ammonium sulfate. The latter pathway is likely from NOx enhancing atmospheric oxidative capacity and amplifying sulfate formation, and is often excluded. Our regression models explained most of the variation in impact/ton estimates using basic population covariates, and can aid in estimating impacts averted from interventions such as pollution controls, alternative energy installations, or demand-side management.
Graphical abstract Display Omitted
Highlights Used CMAQ to estimate health impacts for primary PM2.5, NOx, and SO2 emissions Monetized health impacts and normalized to per-ton emitted Predicted health impacts/ton emitted as function of population distribution NOx impacts are much higher than many previous models predict. Model can be used to quickly estimate health impacts of emission sources.
Using the Community Multiscale Air Quality (CMAQ) model to estimate public health impacts of PM2.5 from individual power plants
https://orcid.org/0000-0001-7270-892X
https://orcid.org/0000-0002-1116-4006
Abstract We estimated PM2.5-related public health impacts/ton emitted of primary PM2.5, SO2, and NOx for a set of power plants in the Mid-Atlantic and Lower Great Lakes regions of the United States, selected to include varying emission profiles and broad geographic representation. We then developed a regression model explaining variability in impacts per ton emitted using the population distributions around each plant. We linked outputs from the Community Multiscale Air Quality (CMAQ) model v 4.7.1 with census data and concentration–response functions for PM2.5-related mortality, and monetized health estimates using the value-of-statistical-life. The median impacts for the final set of plants were $130,000/ton for primary PM2.5 (range: $22,000–230,000), $28,000/ton for SO2 (range: $19,000–33,000), and $16,000/ton for NOx (range: $7100–26,000). Impacts of NOx were a median of 34% (range: 20%–75%) from ammonium nitrate and 66% (range: 25%–79%) from ammonium sulfate. The latter pathway is likely from NOx enhancing atmospheric oxidative capacity and amplifying sulfate formation, and is often excluded. Our regression models explained most of the variation in impact/ton estimates using basic population covariates, and can aid in estimating impacts averted from interventions such as pollution controls, alternative energy installations, or demand-side management.
Graphical abstract Display Omitted
Highlights Used CMAQ to estimate health impacts for primary PM2.5, NOx, and SO2 emissions Monetized health impacts and normalized to per-ton emitted Predicted health impacts/ton emitted as function of population distribution NOx impacts are much higher than many previous models predict. Model can be used to quickly estimate health impacts of emission sources.
Using the Community Multiscale Air Quality (CMAQ) model to estimate public health impacts of PM2.5 from individual power plants
https://orcid.org/0000-0001-7270-892X
https://orcid.org/0000-0002-1116-4006
Abstract We estimated PM2.5-related public health impacts/ton emitted of primary PM2.5, SO2, and NOx for a set of power plants in the Mid-Atlantic and Lower Great Lakes regions of the United States, selected to include varying emission profiles and broad geographic representation. We then developed a regression model explaining variability in impacts per ton emitted using the population distributions around each plant. We linked outputs from the Community Multiscale Air Quality (CMAQ) model v 4.7.1 with census data and concentration–response functions for PM2.5-related mortality, and monetized health estimates using the value-of-statistical-life. The median impacts for the final set of plants were $130,000/ton for primary PM2.5 (range: $22,000–230,000), $28,000/ton for SO2 (range: $19,000–33,000), and $16,000/ton for NOx (range: $7100–26,000). Impacts of NOx were a median of 34% (range: 20%–75%) from ammonium nitrate and 66% (range: 25%–79%) from ammonium sulfate. The latter pathway is likely from NOx enhancing atmospheric oxidative capacity and amplifying sulfate formation, and is often excluded. Our regression models explained most of the variation in impact/ton estimates using basic population covariates, and can aid in estimating impacts averted from interventions such as pollution controls, alternative energy installations, or demand-side management.
Graphical abstract Display Omitted
Highlights Used CMAQ to estimate health impacts for primary PM2.5, NOx, and SO2 emissions Monetized health impacts and normalized to per-ton emitted Predicted health impacts/ton emitted as function of population distribution NOx impacts are much higher than many previous models predict. Model can be used to quickly estimate health impacts of emission sources.
Using the Community Multiscale Air Quality (CMAQ) model to estimate public health impacts of PM2.5 from individual power plants
Buonocore, Jonathan J. (author) / Dong, Xinyi (author) / Spengler, John D. (author) / Fu, Joshua S. (author) / Levy, Jonathan I. (author)
Environmental International ; 68 ; 200-208
2014-03-30
9 pages
Article (Journal)
Electronic Resource
English
CMAQ model , Community Multiscale Air Quality model , PM<inf>2.5</inf> , particulate matter 2.5 (airborne particulate with aerodynamic equivalent diameter<hsp></hsp>≤<hsp></hsp>2.5<hsp></hsp>μm) , SO<inf>2</inf> , sulfur dioxide , NO<inf>x</inf> , nitrogen oxides , VSL , value of statistical life , eGRID , Emissions and Generation Resource Integrated Database , NEI , National Emissions Inventory , U.S. EPA , U.S. Environmental Protection Agency , RSM , Response Surface Model , CMAQ , Air quality , Impacts of electrical generation , Atmospheric modeling