Quantifying Hierarchical Indicators of Water Distribution Network Structure and Identifying Their Relationships with Surrogate Indicators of Hydraulic Performance-Reference-Cited by-同舟云学术

Quantifying Hierarchical Indicators of Water Distribution Network Structure and Identifying Their Relationships with Surrogate Indicators of Hydraulic Performance

Published:2021-04 Issue:4 Volume:147 Page:04021008
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Abdel-Mottaleb Noha¹,Zhang Qiong²

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of South Florida, 4202 E. Fowler Ave., ENB 118, Tampa, FL 33620.

2. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of South Florida, 4202 E. Fowler Ave., ENB 118, Tampa, FL 33620 (corresponding author).

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.1943-5452.0001345

Reference73 articles.

1. An Exact Multiobjective Optimization Approach for Evaluating Water Distribution Infrastructure Criticality and Geospatial Interdependence

2. Abdel-Mottaleb N. and T. Walski. 2020. “Identifying vulnerable and critical water distribution segments.” In Proc. World Environmental and Water Resources Congress 2020: Hydraulics Waterways and Water Distribution Systems Analysis. Reston VA: ASCE. https://doi.org/10.1061/9780784482971.032.

3. Abdel-Mottaleb N. and Q. Zhang. 2019. “Logical architecture of water distribution networks.” In Proc. World Environmental and Water Resources Congress 2019: Hydraulics Waterways and Water Distribution Systems Analysis 506–519. Reston VA: ASCE. https://doi.org/10.1061/9780784482353.048.

4. Abdel-Mottaleb N. and Q. Zhang. 2020. “Where are the loops?” In Proc. World Environmental and Water Resources Congress 2020: Hydraulics Waterways and Water Distribution Systems Analysis 421–428. Reston VA: ASCE. https://doi.org/10.1061/9780784482971.041.

5. Graph-Theoretic Surrogate Measure to Analyze Reliability of Water Distribution System Using Bayesian Belief Network–Based Data Fusion Technique

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