| Literature DB >> 28326761 |
Joseph C von Fischer1, Daniel Cooley2, Sam Chamberlain1, Adam Gaylord1, Claire J Griebenow1, Steven P Hamburg3, Jessica Salo4, Russ Schumacher5, David Theobald6, Jay Ham7.
Abstract
Information about the location and magnitudes of natural gas (NG) leaks from urban distribution pipelines is important for minimizing greenhouse gas emissions and optimizing investment in pipeline management. To enable rapid collection of such data, we developed a relatively simple method using high-precision methane analyzers in Google Street View cars. Our data indicate that this automated leak survey system can document patterns in leak location and magnitude within and among cities, even without wind data. We found that urban areas with prevalent corrosion-prone distribution lines (Boston, MA, Staten Island, NY, and Syracuse, NY), leaked approximately 25-fold more methane than cities with more modern pipeline materials (Burlington, VT, and Indianapolis, IN). Although this mobile monitoring method produces conservative estimates of leak rates and leak counts, it can still help prioritize both leak repairs and replacement of leak-prone sections of distribution lines, thus minimizing methane emissions over short and long terms.Entities:
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Year: 2017 PMID: 28326761 DOI: 10.1021/acs.est.6b06095
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028