Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics-Reference-Cited by-同舟云学术

Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics

Published:2021-07 Issue:7 Volume:147 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Taha Ahmad F.¹^ORCID,Wang Shen²^ORCID,Guo Yi³^ORCID,Summers Tyler H.⁴,Gatsis Nikolaos⁵,Giacomoni Marcio H.⁶^ORCID,Abokifa Ahmed A.⁷^ORCID

Affiliation:

1. Assistant Professor, Dept. of Electrical and Computer Engineering, Univ. of Texas at San Antonio, San Antonio, TX 78249 (corresponding author). ORCID: .

2. Research Assistant, Dept. of Electrical and Computer Engineering, Univ. of Texas at San Antonio, San Antonio, TX 78249. ORCID:

3. Research Assistant, Dept. of Mechanical Engineering, Univ. of Texas at Dallas, Dallas, TX 75080. ORCID:

4. Assistant Professor, Dept. of Mechanical Engineering, Univ. of Texas at Dallas, Dallas, TX 75080.

5. Associate Professor, Dept. of Electrical and Computer Engineering, Univ. of Texas at San Antonio, San Antonio, TX 78249.

6. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Texas at San Antonio, San Antonio, TX 78249. ORCID:

7. Assistant Professor, Dept. of Civil, Materials, and Environmental Engineering, Univ. of Illinois at Chicago, Chicago, IL 60607. 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.1943-5452.0001374

Reference50 articles.

1. Multi-objective Coverage-based ACO Model for Quality Monitoring in Large Water Networks

2. Optimizing water quality monitoring stations using genetic algorithms;Al-Zahrani M. A.;Arabian J. Sci. Eng.,2003

3. Optimal Design of Sensor Placement in Water Distribution Networks

4. Eulerian–Lagrangian Method for Constituent Transport in Water Distribution Networks

5. Reducing Impacts of Contamination in Water Distribution Networks: A Combined Strategy Based on Network Partitioning and Installation of Water Quality Sensors

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