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Risk-based framework for optimizing residual chlorine in large water distribution systems

Overview of attention for article published in Environmental Monitoring and Assessment, June 2017
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Title
Risk-based framework for optimizing residual chlorine in large water distribution systems
Published in
Environmental Monitoring and Assessment, June 2017
DOI 10.1007/s10661-017-5989-0
Pubmed ID
Authors

Muhammad Nadeem Sharif, Ashraf Farahat, Husnain Haider, Muhammad A. Al-Zahrani, Manuel J. Rodriguez, Rehan Sadiq

Abstract

Managing residual chlorine in large water distribution systems (WDS) to minimize human health risk is a daunting task. In this research, a novel risk-based framework is developed and implemented in a distribution network spanning over 64 km(2) for supplying water to the city of Al-Khobar (Saudi Arabia) through 473-km-long water mains. The framework integrates the planning of linear assets (i.e., pipes) and placement of booster stations to optimize residual chlorine in the WDS. Failure mode and effect analysis are integrated with the fuzzy set theory to perform risk analysis. A vulnerability regarding the probability of failure of pipes is estimated from historical records of water main breaks. The consequence regarding residual chlorine availability has been associated with the exposed population depending on the land use characteristics (i.e., defined through zoning). EPANET simulations have been conducted to predict residual chlorine at each node of the network. A water quality index is used to assess the effectiveness of chlorine practice. Scenario analysis is also performed to evaluate the impact of changing locations and number of booster stations, and rehabilitation and/or replacement of vulnerable water mains. The results revealed that the proposed methodology could facilitate the utility managers to optimize residual chlorine effectively in large WDS.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 30%
Student > Bachelor 5 11%
Researcher 4 9%
Student > Ph. D. Student 3 7%
Lecturer 2 4%
Other 3 7%
Unknown 15 33%
Readers by discipline Count As %
Engineering 19 41%
Environmental Science 4 9%
Business, Management and Accounting 2 4%
Computer Science 2 4%
Medicine and Dentistry 2 4%
Other 2 4%
Unknown 15 33%