Articles | Volume 3, issue 1
https://doi.org/10.5194/dwes-3-71-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/dwes-3-71-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
18 May 2010
I-WARP: Individual Water mAin Renewal Planner
Y. Kleiner
National Research Council Canada, Ottawa, Ontario, Canada
B. Rajani
National Research Council Canada, Ottawa, Ontario, Canada
Viewed
Total article views: 3,257 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 13 Jan 2010)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,478 | 1,575 | 204 | 3,257 | 190 | 126 |
- HTML: 1,478
- PDF: 1,575
- XML: 204
- Total: 3,257
- BibTeX: 190
- EndNote: 126
Total article views: 2,335 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 18 May 2010)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,138 | 1,038 | 159 | 2,335 | 161 | 117 |
- HTML: 1,138
- PDF: 1,038
- XML: 159
- Total: 2,335
- BibTeX: 161
- EndNote: 117
Total article views: 922 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 13 Jan 2010)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 340 | 537 | 45 | 922 | 29 | 9 |
- HTML: 340
- PDF: 537
- XML: 45
- Total: 922
- BibTeX: 29
- EndNote: 9
Cited
34 citations as recorded by crossref.
- A two-time-scale point process model of water main breaks for infrastructure asset management P. Lin & X. Yuan 10.1016/j.watres.2018.11.066
- Comparative Study of Three Stochastic Models for Prediction of Pipe Failures in Water Supply Systems A. Martins et al. 10.1061/(ASCE)IS.1943-555X.0000154
- Conceptual Water Main Failure Risk: Self-Excitation, Pipe Age, and Statistical Modeling Performance C. Hammond et al. 10.1061/JWRMD5.WRENG-6432
- An Approach to Predict the Failure of Water Mains Under Climatic Variations Z. Almheiri et al. 10.1007/s40891-020-00237-8
- Integrated approach for pipe failure prediction and condition scoring in water infrastructure systems T. Rifaai et al. 10.1016/j.ress.2021.108271
- Predicting the Timing of Water Main Failure Using Artificial Neural Networks R. Harvey et al. 10.1061/(ASCE)WR.1943-5452.0000354
- Review of statistical water main break prediction models M. Nishiyama & Y. Filion 10.1139/cjce-2012-0424
- An Optimal Maintenance and Replacement Strategy for Deteriorating Water Mains P. Lin et al. 10.3390/w14132097
- A novel ‘pressure index’ for predicting number of pipe bursts in water distribution system S. Akbarkhiavi & M. Imteaz 10.1680/jwama.20.00076
- An evolution of statistical pipe failure models for drinking water networks: a targeted review N. Barton et al. 10.2166/ws.2022.019
- Scheduling Renewal of Water Pipes While Considering Adjacency of Infrastructure Works and Economies of Scale A. Nafi & Y. Kleiner 10.1061/(ASCE)WR.1943-5452.0000062
- Analysis of risk management methods used in trenchless renewal decision making G. Vladeanu & J. Matthews 10.1016/j.tust.2017.11.025
- Extending the Yule process to model recurrent pipe failures in water supply networks Y. Le Gat 10.1080/1573062X.2013.783088
- Prioritizing Water Mains for Inspection and Maintenance Considering System Reliability and Risk H. Phan et al. 10.1061/(ASCE)PS.1949-1204.0000324
- Extension of pipe failure models to consider the absence of data from replaced pipes A. Scheidegger et al. 10.1016/j.watres.2013.04.017
- Performance Estimation of a Remote Field Eddy Current Method for the Inspection of Water Distribution Pipes S. Duchesne et al. 10.1061/(ASCE)WR.1943-5452.0000136
- Minimising the total cost of renewal and risk of water infrastructure assets by grouping renewal interventions M. Rokstad & R. Ugarelli 10.1016/j.ress.2015.05.014
- Probability of network disconnection of water distribution system for maintenance prioritization H. Phan et al. 10.2166/aqua.2018.097
- Analysis and Modeling of Pressure Pipe Failures in Auckland, New Zealand L. Lopez et al. 10.1061/JWRMD5.WRENG-6242
- Review on Statistical Based Methods of Measuring the Water Pipes Reliability A. Bubtiena et al. 10.4028/www.scientific.net/AMR.230-232.1327
- Comparison of Pipeline Failure Prediction Models for Water Distribution Networks with Uncertain and Limited Data L. Jenkins et al. 10.1061/(ASCE)PS.1949-1204.0000181
- Comparison of Statistical Deterioration Models for Water Distribution Networks H. Osman & K. Bainbridge 10.1061/(ASCE)CF.1943-5509.0000157
- Analysis of Wastewater and Water System Renewal Decision-Making Tools and Approaches J. Matthews et al. 10.1061/(ASCE)PS.1949-1204.0000114
- A review of climatic impacts on water main deterioration T. Ahmad et al. 10.1016/j.uclim.2023.101552
- Modeling the Frequency of Water Main Breaks in Water Distribution Systems: Random-Parameters Negative-Binomial Approach H. Zamenian et al. 10.1061/(ASCE)IS.1943-555X.0000336
- Research on pipe burst in water distribution systems: knowledge structure and emerging trends C. Wang et al. 10.2166/aqua.2022.150
- Efficacy of Tree-Based Models for Pipe Failure Prediction and Condition Assessment: A Comprehensive Review M. Latifi et al. 10.1061/JWRMD5.WRENG-6334
- A comparison between multivariate adaptive regression splines and regressive convolution neural network with support vector regression for pipe burst rate prediction on limited dataset A. Ravanbakhsh et al. 10.1080/1573062X.2022.2105238
- Bayesian Belief Networks for predicting drinking water distribution system pipe breaks R. Francis et al. 10.1016/j.ress.2014.04.024
- A comprehensive criteria-based multi-attribute decision-making model for rehabilitation of water distribution systems S. Salehi et al. 10.1080/15732479.2017.1359633
- Statistical failure models for water distribution pipes – A review from a unified perspective A. Scheidegger et al. 10.1016/j.watres.2015.06.027
- Comparison of Statistical Models for Predicting Pipe Failures: Illustrative Example with the City of Calgary Water Main Failure E. Kimutai et al. 10.1061/(ASCE)PS.1949-1204.0000196
- Predicting water main failures using Bayesian model averaging and survival modelling approach G. Kabir et al. 10.1016/j.ress.2015.06.011
- Predicting water main failures: A Bayesian model updating approach G. Kabir et al. 10.1016/j.knosys.2016.07.024
31 citations as recorded by crossref.
- A two-time-scale point process model of water main breaks for infrastructure asset management P. Lin & X. Yuan 10.1016/j.watres.2018.11.066
- Comparative Study of Three Stochastic Models for Prediction of Pipe Failures in Water Supply Systems A. Martins et al. 10.1061/(ASCE)IS.1943-555X.0000154
- Conceptual Water Main Failure Risk: Self-Excitation, Pipe Age, and Statistical Modeling Performance C. Hammond et al. 10.1061/JWRMD5.WRENG-6432
- An Approach to Predict the Failure of Water Mains Under Climatic Variations Z. Almheiri et al. 10.1007/s40891-020-00237-8
- Integrated approach for pipe failure prediction and condition scoring in water infrastructure systems T. Rifaai et al. 10.1016/j.ress.2021.108271
- Predicting the Timing of Water Main Failure Using Artificial Neural Networks R. Harvey et al. 10.1061/(ASCE)WR.1943-5452.0000354
- Review of statistical water main break prediction models M. Nishiyama & Y. Filion 10.1139/cjce-2012-0424
- An Optimal Maintenance and Replacement Strategy for Deteriorating Water Mains P. Lin et al. 10.3390/w14132097
- A novel ‘pressure index’ for predicting number of pipe bursts in water distribution system S. Akbarkhiavi & M. Imteaz 10.1680/jwama.20.00076
- An evolution of statistical pipe failure models for drinking water networks: a targeted review N. Barton et al. 10.2166/ws.2022.019
- Scheduling Renewal of Water Pipes While Considering Adjacency of Infrastructure Works and Economies of Scale A. Nafi & Y. Kleiner 10.1061/(ASCE)WR.1943-5452.0000062
- Analysis of risk management methods used in trenchless renewal decision making G. Vladeanu & J. Matthews 10.1016/j.tust.2017.11.025
- Extending the Yule process to model recurrent pipe failures in water supply networks Y. Le Gat 10.1080/1573062X.2013.783088
- Prioritizing Water Mains for Inspection and Maintenance Considering System Reliability and Risk H. Phan et al. 10.1061/(ASCE)PS.1949-1204.0000324
- Extension of pipe failure models to consider the absence of data from replaced pipes A. Scheidegger et al. 10.1016/j.watres.2013.04.017
- Performance Estimation of a Remote Field Eddy Current Method for the Inspection of Water Distribution Pipes S. Duchesne et al. 10.1061/(ASCE)WR.1943-5452.0000136
- Minimising the total cost of renewal and risk of water infrastructure assets by grouping renewal interventions M. Rokstad & R. Ugarelli 10.1016/j.ress.2015.05.014
- Probability of network disconnection of water distribution system for maintenance prioritization H. Phan et al. 10.2166/aqua.2018.097
- Analysis and Modeling of Pressure Pipe Failures in Auckland, New Zealand L. Lopez et al. 10.1061/JWRMD5.WRENG-6242
- Review on Statistical Based Methods of Measuring the Water Pipes Reliability A. Bubtiena et al. 10.4028/www.scientific.net/AMR.230-232.1327
- Comparison of Pipeline Failure Prediction Models for Water Distribution Networks with Uncertain and Limited Data L. Jenkins et al. 10.1061/(ASCE)PS.1949-1204.0000181
- Comparison of Statistical Deterioration Models for Water Distribution Networks H. Osman & K. Bainbridge 10.1061/(ASCE)CF.1943-5509.0000157
- Analysis of Wastewater and Water System Renewal Decision-Making Tools and Approaches J. Matthews et al. 10.1061/(ASCE)PS.1949-1204.0000114
- A review of climatic impacts on water main deterioration T. Ahmad et al. 10.1016/j.uclim.2023.101552
- Modeling the Frequency of Water Main Breaks in Water Distribution Systems: Random-Parameters Negative-Binomial Approach H. Zamenian et al. 10.1061/(ASCE)IS.1943-555X.0000336
- Research on pipe burst in water distribution systems: knowledge structure and emerging trends C. Wang et al. 10.2166/aqua.2022.150
- Efficacy of Tree-Based Models for Pipe Failure Prediction and Condition Assessment: A Comprehensive Review M. Latifi et al. 10.1061/JWRMD5.WRENG-6334
- A comparison between multivariate adaptive regression splines and regressive convolution neural network with support vector regression for pipe burst rate prediction on limited dataset A. Ravanbakhsh et al. 10.1080/1573062X.2022.2105238
- Bayesian Belief Networks for predicting drinking water distribution system pipe breaks R. Francis et al. 10.1016/j.ress.2014.04.024
- A comprehensive criteria-based multi-attribute decision-making model for rehabilitation of water distribution systems S. Salehi et al. 10.1080/15732479.2017.1359633
- Statistical failure models for water distribution pipes – A review from a unified perspective A. Scheidegger et al. 10.1016/j.watres.2015.06.027
3 citations as recorded by crossref.
- Comparison of Statistical Models for Predicting Pipe Failures: Illustrative Example with the City of Calgary Water Main Failure E. Kimutai et al. 10.1061/(ASCE)PS.1949-1204.0000196
- Predicting water main failures using Bayesian model averaging and survival modelling approach G. Kabir et al. 10.1016/j.ress.2015.06.011
- Predicting water main failures: A Bayesian model updating approach G. Kabir et al. 10.1016/j.knosys.2016.07.024
Saved (final revised paper)
Latest update: 05 Nov 2024
Special Issue