Accuracy of visual inspection of flood defences. Issue 8 (3rd August 2023)

• Record Type: Journal Article
• Authors: Klerk, W. J.; Kanning, W.; Kok, M.; Bronsveld, J.; Wolfert, A. R. M.
• Is Part Of: Structure and infrastructure engineering. Volume 19:Issue 8(2023)
• Page Start: 1076
• Page End: 1090
• Publication Date: 2023-08-03
• Subjects: Visual inspection -- flood risk management -- flood defence -- Probability of Detection -- maintenance; Structural analysis (Engineering) -- Periodicals; Structural engineering -- Periodicals; Buildings -- Performance -- Periodicals; 620.005
• DOI: 10.1080/15732479.2021.2001543
• Languages: English
• ISSNs: 1573-2479

Abstract

Abstract: Prioritisation of flood defence maintenance is typically based on visual inspection. However, literature shows that the Probability of Detection (PoD) of visual inspection can vary significantly. Here we investigate the PoD for visual inspections of flood defence structures, the consistency of damage classification, and the influence of different variables on the PoD, such as past experience. Four flood defence sections were inspected by 22 different inspectors for a variety of damage types, such as animal burrowing and damage to block revetments. It is found that the PoD varies significantly both per damage type and inspector. Additionally, the estimated severity of damages varies significantly in comparison to the reference situation: over half of the registered damages is assigned a different severity compared to the reference, which potentially leads to incorrect maintenance measures. A likely explanation for the variation in results is the complexity of inspection guidelines and task definitions. Therefore it is advised to simplify inspection guidelines and use more focussed inspections for the most important types of damage. This likely leads to both a reduction of the number of false negatives associated with an increase in flood risk, and better risk-based asset management and maintenance prioritisation in general.