Using deterioration modelling to simulate sewer rehabilitation strategy with low data availability

Author:

Caradot N.1,Sampaio Ph. R.2,Guilbert A. S.2,Sonnenberg H.1,Parez V.3,Dimova V.4

Affiliation:

1. Kompetenzzentrum Wasser Berlin gGmbH, Cicerostr. 24, 10709 Berlin, Germany

2. Veolia Research & Innovation (VeRI), Chemin de la Digue, BP 76, 78603 Maisons-Laffitte, France

3. Veolia, Business Support and Performance Department, 30 rue Madeleine Vionnet, 93300 Aubervilliers, France

4. Sofiyska Voda, Mladost 4, Business Park Sofia, Sgrada 2A, 1766 Sofia, Bulgaria

Abstract

Abstract 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.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

Reference42 articles.

1. Sewer asset management: impact of sample size and its characteristics on the calibration outcomes of a decision-making multivariate model;Urban Water Journal,2016

2. Thermo-cyclic degradation evaluation of sewer CIPP resin by ASTM standard tests and Raman spectroscopy;Materials Performance and Characterization,2017

3. A retrospective evaluation of the performance of liner systems used to rehabilitate municipal gravity sewers;Tunnelling and Underground Space Technology,2015

4. Allouche E. Shaurav A. Sterling R. Condit W. Matthews J. Selvakumar A. 2014 National Database Structure for Life Cycle Performance Assessment of Water and Wastewater Rehabilitation Technologies (Restrospective Evaluation). US Environmental Protection Agency, EPA/600/R-14/251, Washington, DC.

5. An introduction to kernel and nearest-neighbor nonparametric regression;The American Statistician,1992

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3