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An enhanced procedure for urban mobile methane leak detection

Leaked methane from natural gas distribution pipelines is a significant human and environmental health problem in urban areas. To assess this risk, urban mobile methane leak surveys were conducted, using innovative methodology, on the streets of Hartford, Danbury, and New London, Connecticut, in Mar...

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Autores principales: Keyes, Tim, Ridge, Gale, Klein, Martha, Phillips, Nathan, Ackley, Robert, Yang, Yufeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560587/
https://www.ncbi.nlm.nih.gov/pubmed/33088932
http://dx.doi.org/10.1016/j.heliyon.2020.e04876
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author Keyes, Tim
Ridge, Gale
Klein, Martha
Phillips, Nathan
Ackley, Robert
Yang, Yufeng
author_facet Keyes, Tim
Ridge, Gale
Klein, Martha
Phillips, Nathan
Ackley, Robert
Yang, Yufeng
author_sort Keyes, Tim
collection PubMed
description Leaked methane from natural gas distribution pipelines is a significant human and environmental health problem in urban areas. To assess this risk, urban mobile methane leak surveys were conducted, using innovative methodology, on the streets of Hartford, Danbury, and New London, Connecticut, in March 2019. The Hartford survey was done to determine if results from a 2016 survey (Keyes et al., 2019) were persistent, and surveys in additional towns were done to determine if similar findings could be made using an identical approach. Results show that Hartford continues to be problematic, with approximately 3.4 leaks per road mile observed in 2016 and 4.3 leaks per mile estimated in 2019, similar to that previously found in Boston, Massachusetts (Phillips et al., 2013). A preliminary estimate of methane leaks in Hartford is 0.86 metric tonnes per day (or 313 metric tonnes per year), equivalent to 42,840 cubic feet per day of natural gas, and a daily gas consumption of approximately 214 U.S. households. Moreover, the surveys and analyses done for Danbury and New London also reveal problematic leaks, particularly for Danbury with an estimated 3.6 leaks per mile. Although road miles covered in New London were more limited, the survey revealed leak-prone areas, albeit with a range of methane readings lower than those in Hartford and Danbury. Data collection methods for all studies is first reported here and are readily transferable to similar urban settings. This work demonstrates the actionable value that can be gained from data-driven evaluations of urban pipeline performance, and if supplemented with a map of leak-prone pipe geo-location, and information on pipeline operating pressures, will provide a spatial database facilitating proactive repair and replacement of leak-prone urban pipes, a considerable improvement compared to reactive mitigation of human-reported leaks. While this work pertains to the selected urban towns in the Northeast, it exemplifies issues and opportunities nationwide in the United States.
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spelling pubmed-75605872020-10-20 An enhanced procedure for urban mobile methane leak detection Keyes, Tim Ridge, Gale Klein, Martha Phillips, Nathan Ackley, Robert Yang, Yufeng Heliyon Research Article Leaked methane from natural gas distribution pipelines is a significant human and environmental health problem in urban areas. To assess this risk, urban mobile methane leak surveys were conducted, using innovative methodology, on the streets of Hartford, Danbury, and New London, Connecticut, in March 2019. The Hartford survey was done to determine if results from a 2016 survey (Keyes et al., 2019) were persistent, and surveys in additional towns were done to determine if similar findings could be made using an identical approach. Results show that Hartford continues to be problematic, with approximately 3.4 leaks per road mile observed in 2016 and 4.3 leaks per mile estimated in 2019, similar to that previously found in Boston, Massachusetts (Phillips et al., 2013). A preliminary estimate of methane leaks in Hartford is 0.86 metric tonnes per day (or 313 metric tonnes per year), equivalent to 42,840 cubic feet per day of natural gas, and a daily gas consumption of approximately 214 U.S. households. Moreover, the surveys and analyses done for Danbury and New London also reveal problematic leaks, particularly for Danbury with an estimated 3.6 leaks per mile. Although road miles covered in New London were more limited, the survey revealed leak-prone areas, albeit with a range of methane readings lower than those in Hartford and Danbury. Data collection methods for all studies is first reported here and are readily transferable to similar urban settings. This work demonstrates the actionable value that can be gained from data-driven evaluations of urban pipeline performance, and if supplemented with a map of leak-prone pipe geo-location, and information on pipeline operating pressures, will provide a spatial database facilitating proactive repair and replacement of leak-prone urban pipes, a considerable improvement compared to reactive mitigation of human-reported leaks. While this work pertains to the selected urban towns in the Northeast, it exemplifies issues and opportunities nationwide in the United States. Elsevier 2020-10-09 /pmc/articles/PMC7560587/ /pubmed/33088932 http://dx.doi.org/10.1016/j.heliyon.2020.e04876 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Keyes, Tim
Ridge, Gale
Klein, Martha
Phillips, Nathan
Ackley, Robert
Yang, Yufeng
An enhanced procedure for urban mobile methane leak detection
title An enhanced procedure for urban mobile methane leak detection
title_full An enhanced procedure for urban mobile methane leak detection
title_fullStr An enhanced procedure for urban mobile methane leak detection
title_full_unstemmed An enhanced procedure for urban mobile methane leak detection
title_short An enhanced procedure for urban mobile methane leak detection
title_sort enhanced procedure for urban mobile methane leak detection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560587/
https://www.ncbi.nlm.nih.gov/pubmed/33088932
http://dx.doi.org/10.1016/j.heliyon.2020.e04876
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