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<p>Urban areas are experiencing the expansion of distribution pipeline networks due to the transition from coal to natural gas for reducing carbon emissions. However, methane leaks from these pipelines are offsetting environmental benefits and raising safety concerns. Here, to address these issues, we propose integrating vehicle-based detection systems with sniffer canines to improve the efficiency of methane leak detection and localization in urban distribution networks. A practical methane emission measurement campaign covering approximately 4,000 km of natural gas distribution pipelines across 20 Chinese cities revealed that sniffer canines accurately pinpointed 432 natural gas release sources within the 220 leak areas identified by detection vehicles. Our findings indicate notable variations in spatial gas leak density and leak-prone components across different cities, with underground steel pipelines and aboveground risers being particularly prone to leaks. This study offers a promising solution for enhancing urban infrastructure management, thereby improving public safety and environmental protection.</p>

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Vehicle–canine collaboration for urban pipeline methane leak detection

  • 期刊论文

  • 发表日期：

    2025年1月3日

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  • Hongfang Lu,
  • Dongmin Xi,
  • Yaqin Xiang,
  • Zhenhao Su,
  • Y. Frank Cheng

摘要

Urban areas are experiencing the expansion of distribution pipeline networks due to the transition from coal to natural gas for reducing carbon emissions. However, methane leaks from these pipelines are offsetting environmental benefits and raising safety concerns. Here, to address these issues, we propose integrating vehicle-based detection systems with sniffer canines to improve the efficiency of methane leak detection and localization in urban distribution networks. A practical methane emission measurement campaign covering approximately 4,000 km of natural gas distribution pipelines across 20 Chinese cities revealed that sniffer canines accurately pinpointed 432 natural gas release sources within the 220 leak areas identified by detection vehicles. Our findings indicate notable variations in spatial gas leak density and leak-prone components across different cities, with underground steel pipelines and aboveground risers being particularly prone to leaks. This study offers a promising solution for enhancing urban infrastructure management, thereby improving public safety and environmental protection.