Caradot N, Sampaio Ph R, Guilbert A S, Sonnenberg H, Parez V, Dimova V
Kompetenzzentrum Wasser Berlin gGmbH, Cicerostr. 24, 10709 Berlin, Germany E-mail:
Veolia Research & Innovation (VeRI), Chemin de la Digue, BP 76, 78603 Maisons-Laffitte, France.
Water Sci Technol. 2021 Feb;83(3):631-640. doi: 10.2166/wst.2020.604.
Most cities face the problem of an aging infrastructure in need of extensive and ongoing repair, renovation or replacement. Since the 1980s, CCTV has been the industry standard for sewer system inspection and the main source of information for structural performance evaluation. Due to low inspection rates and the lack of information about sewer condition, deterioration models have been developed to simulate the condition of non-inspected sewers and assess the influence of several rehabilitation scenarios. This paper presents an innovative modelling tool for long-term sewer rehabilitation planning based on the integration of a deterioration and a rehabilitation model. The tool is demonstrated in full scale using CCTV and sewer data of the city of Sofia, in Bulgaria. Results provide tangible proofs of investment needs for sewer rehabilitation and support the utility in the negotiation of budgets with the municipality. Since age is one key variable for deterioration modelling, a new method is proposed to estimate missing construction years in the utility database with a prediction error of less than 7 years.
大多数城市都面临基础设施老化的问题,需要进行大规模且持续的维修、翻新或更换。自20世纪80年代以来,闭路电视检查一直是下水道系统检测的行业标准,也是结构性能评估的主要信息来源。由于检测率低且缺乏下水道状况信息,已开发出恶化模型来模拟未检测下水道的状况,并评估几种修复方案的影响。本文提出了一种基于恶化模型和修复模型集成的创新建模工具,用于长期下水道修复规划。该工具使用保加利亚索非亚市的闭路电视和下水道数据进行了全面演示。结果提供了下水道修复投资需求的确凿证据,并支持公用事业公司与市政府进行预算谈判。由于使用年限是恶化建模的一个关键变量,本文提出了一种新方法来估计公用事业数据库中缺失的建设年份,预测误差小于7年。