Logistic pipe failure prediction models for an urban water distribution network in the developing world: a case study of Kampala water, Uganda

被引:1
|
作者
Auma, Rose [1 ]
Musaazi, Isaac G. [2 ]
Tumutungire, Martin D. [1 ]
Sempewo, Jotham Ivan [1 ]
机构
[1] Makerere Univ, Coll Engn Design Art & Technol, Sch Engn, Dept Civil & Environm Engn, POB 7062, Kampala, Uganda
[2] Howard Univ, Coll Engn & Architecture, Dept Civil & Environm Engn, Washington, DC 20059 USA
关键词
failure frequency; logistic regression; model; prediction; water distribution; water mains replacement;
D O I
10.2166/wpt.2022.159
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Being one of the most important assets of a water utility, urban water distribution pipe systems account highest of the total expenditure involved in water supply systems. However, maintaining water system performance can be challenging due to deterioration. Deterioration, an ongoing process as the system ages is influenced by a number of factors majorly physical, operational, and environmental factors, and is the main cause of pipe failures. Pipe failure has economic, social, and environmental impacts thus increasing operational and maintenance costs. Therefore, the need for proactive approaches for management to ensure the systems operate satisfactorily, and function efficiently and continuously at low costs is highly recommended.
引用
收藏
页码:264 / 273
页数:10
相关论文
共 50 条
  • [1] Comparative performance of regression and the Markov based approach in the prediction of the future condition of a water distribution pipe network amidst data scarce situations: a case study of Kampala water, Uganda
    Sempewo, Jotham Ivan
    Kyokaali, Lydia
    [J]. WATER PRACTICE AND TECHNOLOGY, 2019, 14 (04): : 946 - 958
  • [2] Investigating water meter performance in developing countries: A case study of Kampala, Uganda
    Mutikanga, Harrison E.
    Sharma, Saroj K.
    Vairavamoorthy, Kalanithy
    [J]. WATER SA, 2011, 37 (04) : 567 - 574
  • [3] Prediction Of the Future Condition Of A Water Distribution Network Using A Markov Based Approach: A Case study of Kampala Water
    Sempewo, Jotham Ivan
    Kyokaali, Lydia
    [J]. 12TH INTERNATIONAL CONFERENCE ON HYDROINFORMATICS (HIC 2016) - SMART WATER FOR THE FUTURE, 2016, 154 : 374 - 383
  • [4] Prediction of pipe failure in water distribution system
    Wang, Yi
    Tian, Yi-Mei
    Shan, Jin-Lin
    Zhang, Xin-Bo
    Pei, Liang
    [J]. Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2010, 43 (09): : 840 - 843
  • [5] A study on pipe failure analysis in water distribution systems using logistic regression
    Karadirek, Ethem
    Kaya-Basar, Ebru
    Akdeniz, Tugba
    [J]. WATER SUPPLY, 2024, 24 (01) : 176 - 186
  • [6] Water quality in a pipe distribution network: a case study of a communal water distribution network in Ibadan, Nigeria
    Awopetu, M. S.
    Coker, A. O.
    Aribisala, J. O.
    Awopetu, S. O.
    [J]. WATER RESOURCES MANAGEMENT VII, 2013, 171 : 175 - 186
  • [7] Statistical approach to developing screening models for pipe failure events in water network systems
    Kim, Bumjo
    Ki, Seo Jin
    Jeon, Dong Jin
    Kim, Joon Ha
    [J]. DESALINATION AND WATER TREATMENT, 2018, 120 : 190 - 197
  • [8] Evaluation of data driven models for pipe burst prediction in urban water distribution systems
    Alizadeh, Z.
    Yazdi, J.
    Mohammadiun, S.
    Hewage, K.
    Sadiq, R.
    [J]. URBAN WATER JOURNAL, 2019, 16 (02) : 136 - 145
  • [9] Prediction of pipe failure rate in Tehran water distribution networks by applying regression models
    Motiee, Homayoun
    Ghasemnejad, Sonya
    [J]. WATER SUPPLY, 2019, 19 (03) : 695 - 702
  • [10] Pipe Failure Prediction in the Water Distribution System Using a Deep Graph Convolutional Network and Temporal Failure Series
    Xu, Yanran
    He, Zhen
    [J]. ACS ES&T ENGINEERING, 2024, 4 (09): : 2252 - 2262