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An open source algorithm to detect natural gas leaks from mobile methane survey data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/env.2519openalex-snapshot
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Personal exposure to particulate air pollution in transport microenvironments
inferredcites →https://doi.org/10.1016/j.envpol.2016.01.094openalex-snapshot
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Methane Leaks from Natural Gas Systems Follow Extreme Distributions
inferredcites →https://doi.org/10.1021/acs.est.6b06095openalex-snapshot
Rapid, Vehicle-Based Identification of Location and Magnitude of Urban Natural Gas Pipeline Leaks
inferredcites →https://doi.org/10.1021/acs.est.7b00891openalex-snapshot
High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data
inferredcites →https://doi.org/10.1021/acs.est.8b03135openalex-snapshot
Vehicle-Based Methane Surveys for Finding Natural Gas Leaks and Estimating Their Size: Validation and Uncertainty
inferredcites →https://doi.org/10.3390/e17063656openalex-snapshot
A Robust Bayesian Approach to an Optimal Replacement Policy for Gas Pipelines
inferredcites →https://doi.org/10.3390/s16071072openalex-snapshot
An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Policy Instrument Options for Addressing Methane Emissions from the Oil and Gas Sector
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Environmental Injustices of Leaks from Urban Natural Gas Distribution Systems: Patterns among and within 13 U.S. Metro Areas
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Ground-Based Mobile Measurements to Track Urban Methane Emissions from Natural Gas in 12 Cities across Eight Countries
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Low Methane Emissions from the Natural Gas Distribution System Indicated by Mobile Measurements in a Chinese Megacity Hangzhou
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Authors response to Referee Comment 2 on acp-2022-710
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