Better Understanding of the Capacity of Pressure Sensor Systems to Detect Pipe Burst within Water Distribution Networks-Reference-Cited by-同舟云学术

Better Understanding of the Capacity of Pressure Sensor Systems to Detect Pipe Burst within Water Distribution Networks

Published:2018-07 Issue:7 Volume:144 Page:04018035
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Qi Zhexian¹,Zheng Feifei²,Guo Danlu³,Maier Holger R.⁴,Zhang Tuqiao⁵,Yu Tingchao⁶,Shao Yu⁶

Affiliation:

1. Ph.D. Student, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China.

2. Professor, College of Civil Engineering and Architecture, Zhejiang Univ., 866 Yuhangtang Rd., Hangzhou 310058, China (corresponding author).

3. Research Associate, Water Research Centre, School of Civil and Environmental Engineering, Univ. of New South Wales, Sydney, NSW 2052, Australia.

4. Professor, School of Civil, Environmental and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia; Adjunct Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China.

5. Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China.

6. Associate Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China.

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.1943-5452.0000957

Reference51 articles.

1. A pressure-based method for monitoring leaks in a pipe distribution system: A Review

2. Applying Minimum Night Flow to Estimate Water Loss Using Statistical Modeling: A Case Study in Kinta Valley, Malaysia

3. Optimal Design of Sensor Placement in Water Distribution Networks

4. GPR-Based Water Leak Models in Water Distribution Systems

5. Pipe burst diagnostics using evidence theory

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