Literature DB >> 33449138

Translating a Global Emission-Reduction Framework for Subnational Climate Action: A Case Study from the State of Georgia.

Marilyn A Brown1, Blair Beasley2, Fikret Atalay3, Kim M Cobb4, Puneet Dwiveldi5, Jeffrey Hubbs3, David M Iwaniek6, Sudhagar Mani7, Daniel Matisoff3, Jaqueline E Mohan8, Jeffrey Mullen9, Michael Oxman10, Daniel Rochberg2, Michael Rodgers11, Marshall Shepherd12, Richard Simmons13, Laura Taylor14, L Beril Toktay10.   

Abstract

Subnational entities are recognizing the need to systematically examine options for reducing their carbon footprints. However, few robust and comprehensive analyses are available that lay out how US states and regions can most effectively contribute. This paper describes an approach developed for Georgia-a state in the southeastern United States called "Drawdown Georgia", our research involves (1) understanding Georgia's baseline carbon footprint and trends, (2) identifying the universe of Georgia-specific carbon-reduction solutions that could be impactful by 2030, (3) estimating the greenhouse gas reduction potential of these high-impact 2030 solutions for Georgia, and (4) estimating associated costs and benefits while also considering how the solutions might impact societal priorities, such as economic development opportunities, public health, environmental benefits, and equity. We began by examining the global solutions identified by Project Drawdown. The resulting 20 high-impact 2030 solutions provide a strategy for reducing Georgia's carbon footprint in the next decade using market-ready technologies and practices and including negative emission solutions. This paper describes our systematic and replicable process and ends with a discussion of its strengths, weaknesses, and planned future research.

Entities:  

Keywords:  Carbon footprint; Carbon neutrality; Climate roadmap; Equity

Year:  2021        PMID: 33449138      PMCID: PMC7809095          DOI: 10.1007/s00267-020-01406-1

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  1 in total

1.  Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China.

Authors:  Zhipeng Zhang; Shuxiang Zhang
Journal:  J Healthc Eng       Date:  2021-08-13       Impact factor: 2.682

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.