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

Title: LiDAR derived terrain wetness indices to infer soil moisture above underground pipelines
Creator: Bretreger, David; Yeo, In-Young; Melchers, Robert
Relation: International Journal on Smart Sensing and Intelligent Systems Vol. 13, Issue 1, p. 1-7
Publisher Link: http://dx.doi.org/10.21307/ijssis-2020-005
Publisher: Exeley
Resource Type: journal article
Date: 2020
Description: 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.
Subject: pipe corrosion; pipe breaks; topographic wetness index; SAGA wetness index; infrastructure assessment
Identifier: http://hdl.handle.net/1959.13/1438990
Identifier: uon:40789
Identifier: ISSN:1178-5608
Language: eng
Reviewed