Terrain wetness indices derived from LiDAR to inform soil moisture and corrosion potential for underground infrastructure

The external corrosion of cast iron water supply pipes has been associated with the availability of free moisture at the pipe wall. This is difficult to observe or measure for extensive pipe networks such as in major cities. A proxy is soil surface moisture content. This may be estimated using terrain wetness indices with highly accurate elevation data derived from airborne Light Detection and Ranging (LiDAR). Such information was obtained for several pipelines and compared with data from 6 cm deep soil moisture Theta Probe measurements along 12 pipeline transects. Additionally, all soil moisture data (in volumetric water content, %) were combined and separated by thresholds of transect means into low (<20%), medium (20%–35%) and high (>35%). Good correlations were obtained (R values 0.49–0.93, all with p value < 0.05). Higher R values were found for wetter conditions (above ~20%). The wetness indices were also found to relate to pipe-wall maximum pitting corrosion rates (mm/yr) when soil classifications were taken into account, with separate trends for clay, silty clay, sandy clay and sand. Some outliers were detected. These were all associated with pipes for which there is evidence of poor workmanship or quality during installation. In total, 25 catchments from inner city to coastal and lakeside suburbs as well as semi-rural regions were assessed. Results show the potential for terrain indices to indicate relative soil wetness in urban areas and thus potential for pipe failure. This is the first study of its kind. This also may assist water authorities to improve life prediction, management and replacement schedules for water supply pipelines and other underground assets.