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Jinhyok Heo

Biographic Data

ID7996796
NAMEJinhyok Heo
GIVEN NAMESJinhyok
FAMILY NAMEHeo
SIGNATUREHEO J
AFFILIATIONSCarnegie Mellon University
ORCID0000-0003-0348-4111
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2019
H-INDEX0
  • An inter-comparison of the social costs of air quality from reduced-complexity models

    Open Access•E A Gilmore, Jinhyok Heo et al.•ARTICLE•Environmental Research Letters•2019

    Reliable estimates of externality costs—such as the costs arising from premature mortality due to exposure to fine particulate matter (PM 2.5 )—are critical for policy analysis. To facilitate broader analysis, several datasets of the social costs of air quality have been produced by a set of reduced-complexity models (RCMs). It is much easier to use the tabulated marginal costs derived from RCMs than it is to run ‘state-of-the-science’ chemical t…

  • Climate and health benefits of increasing renewable energy deployment in the United States

    Open Access•Jonathan J Buonocore, Ethan Hughes et al.•ARTICLE•Environmental Research Letters•2019

    The type, size, and location of renewable energy (RE) deployment dramatically affects benefits to climate and health. Here, we develop a ten-region model to assess the magnitude of health and climate benefits across the US We then use this model to assess the benefits of deploying varying capacities of wind, utility-scale solar photovoltaics (PV), and rooftop solar PV in different regions in the US—a total of 284 different scenarios. Total benefi…

No prominent works on this page.

  • An inter-comparison of the social costs of air quality from reduced-complexity models

    Open Access•E A Gilmore, Jinhyok Heo et al.•ARTICLE•Environmental Research Letters•2019

    Reliable estimates of externality costs—such as the costs arising from premature mortality due to exposure to fine particulate matter (PM 2.5 )—are critical for policy analysis. To facilitate broader analysis, several datasets of the social costs of air quality have been produced by a set of reduced-complexity models (RCMs). It is much easier to use the tabulated marginal costs derived from RCMs than it is to run ‘state-of-the-science’ chemical t…

  • Climate and health benefits of increasing renewable energy deployment in the United States

    Open Access•Jonathan J Buonocore, Ethan Hughes et al.•ARTICLE•Environmental Research Letters•2019

    The type, size, and location of renewable energy (RE) deployment dramatically affects benefits to climate and health. Here, we develop a ten-region model to assess the magnitude of health and climate benefits across the US We then use this model to assess the benefits of deploying varying capacities of wind, utility-scale solar photovoltaics (PV), and rooftop solar PV in different regions in the US—a total of 284 different scenarios. Total benefi…

Air Quality and Health Impacts (2 works) · Economics (2 works) · Environmental Science (2 works) · Air pollution (1 works) · Air quality index (1 works) · Atmospheric sciences (1 works) · Chemistry (1 works) · Climate change (1 works) · Climate Change and Health Impacts (1 works) · Climate Change Policy and Economics (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae