3.8 Article

LiDAR derived terrain wetness dices to infer soil moisture above underground pipelines

出版社

INT JOURNAL SMART SENSING & INTELLIGENT SYSTEMS
DOI: 10.21307/ijssis-2020-005

关键词

Pipe corrosion; Pipe breaks; Topographic wetness index; SAGA wetness index; Infrastructure assessment

资金

  1. Sydney Water Corporation through the NSW Smart Sensing Network's Critical Underground Pipe Sensing project
  2. Hunter Water Corporation through the NSW Smart Sensing Network's Critical Underground Pipe Sensing project

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Corrosion of external cast-iron pipe surfaces, a major contributor to pipe failure, has been attributed to the free water in the soil surrounding the pipe. Because observation at pipe depth is difficult, a potential proxy is the soil surface moisture. Herein highly accurate elevation data derived from airborne light detection and ranging is used to model the distribution of soil water in urban catchments containing pipe infrastructure. The results are compared with local soil moisture Theta Probe measurements along the pipe. The results show potential to identify wetter spots above underground infrastructure, which may inform its corrosion potential, without digging up the asset.

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