A Sequential Pressure-Based Algorithm for Data-Driven Leakage Identification and Model-Based Localization in Water Distribution Networks-Reference-Cited by-同舟云学术

A Sequential Pressure-Based Algorithm for Data-Driven Leakage Identification and Model-Based Localization in Water Distribution Networks

Published:2022-06 Issue:6 Volume:148 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Daniel Ivo¹,Pesantez Jorge²^ORCID,Letzgus Simon³,Khaksar Fasaee Mohammad Ali⁴,Alghamdi Faisal⁵^ORCID,Berglund Emily⁶,Mahinthakumar G.⁶,Cominola Andrea⁷^ORCID

Affiliation:

1. Graduate Student, Chair of Smart Water Networks, Technische Universität Berlin, Berlin 10623, Germany; Einstein Center Digital Future, Berlin 10117, Germany.

2. Graduate Student, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27695. ORCID: .

3. Graduate Student, Machine Learning Group, Technische Universität Berlin, Berlin 10623, Germany.

4. Graduate Student, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27695.

5. Graduate Student, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27695; Graduate Assistant, Dept. of Civil and Environmental Engineering, King Abdulaziz Univ., Jeddah, Saudi Arabia. ORCID:

6. Professor, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27695.

7. Assistant Professor, Chair of Smart Water Networks, Technische Universität Berlin, Berlin 10623, Germany; Einstein Center Digital Future, Berlin 10117, Germany (corresponding author). 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

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001535

Reference48 articles.

1. A survey of methods for time series change point detection

2. Calculation Proposal for the Economic Level of Apparent Losses (ELAL) in a Water Supply System

3. Multi-tier method using infrared photography and GPR to detect and locate water leaks

4. AWWA (American Water Works Association). 2008. Vol. 36 of Water audits and loss control programs. Denver, CO: AWWA.

5. Successive Linear Approximation Methods for Leak Detection in Water Distribution Systems

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