Wastewater Pipe Condition Rating Model Using Multicriteria Decision Analysis-Reference-Cited by-同舟云学术

Wastewater Pipe Condition Rating Model Using Multicriteria Decision Analysis

Published:2019-12 Issue:12 Volume:145 Page:04019058
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Vladeanu Greta¹^ORCID,Matthews John²^ORCID

Affiliation:

1. Engineering Analyst, Xylem/Pure Technologies, 8920 State Route 108, Suite D, Columbia, MD 21045 (corresponding author). ORCID: .

2. Director, Trenchless Technology Center, 599 Dan Reneau Dr., Engineering Annex RM 203, Ruston, LA 71270. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001134

Reference63 articles.

1. Optimization modeling for sewer network management;Abraham D. M.;J. Constr. Eng. Manage.,1998

2. Condition grading for dysfunction indicators in sewer asset management

3. New Approach for Critical Pipe Prioritization in Wastewater Asset Management Planning

4. Altuzarra A. J. M. Moreno Jiménez and M. Salvador. 2005. “Searching for consensus in AHP-group decision making: A Bayesian perspective.” In Proc. CODAWORK ‘05. Girona Spain: Universitat de Girona.

5. An investigation of the factors influencing sewer structural deterioration

Cited by 19 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

1. Global perspectives on groundwater infiltration to sewer networks: A threat to urban sustainability;Water Research;2024-09

2. Comparison of Four Sewer Condition Assessment Protocols Based on Field Data;Water;2023-10-29

3. Wastewater pipe defect rating model for pipe maintenance using natural language processing;Frontiers in Water;2023-08-17

4. Leveraging Machine Learning for Pipeline Condition Assessment;Journal of Pipeline Systems Engineering and Practice;2023-08

5. Predicting sewer structural condition using hybrid machine learning algorithms;Urban Water Journal;2023-05-30