Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article 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 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.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10661-017-5989-0DOI Listing

Publication Analysis

Top Keywords

residual chlorine
24
risk-based framework
8
chlorine large
8
large water
8
water distribution
8
distribution systems
8
water mains
8
booster stations
8
optimize residual
8
chlorine
7

Similar Publications

Access to safely managed drinking water is critical for preventing the spread of cholera. In October 2017, a cholera outbreak was declared in Lusaka, Zambia. As a part of response efforts, emergency water tanks were installed across Lusaka to supply treated water to community members.

View Article and Find Full Text PDF

Multiscale mechanistic study of ammonia-driven chlorine speciation and control of bacteria and fungal spores in mixed chlorine/chloramines systems.

Water Res

August 2025

Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China; Shaanxi Provincial Field Scientific Observation and Research Station of Water Quality in Qinling Mountains, Xi'an University of Architecture and Technology, Xi'an 710055, China

Ensuring microbiological safety in long-distance water distribution systems requires disinfectants that rapidly inactivate microbes, maintain residual stability, and minimize by-product formation. This study investigates how ammonia addition reshapes chlorine speciation and modulates disinfection performance within mixed chlorine/chloramines systems. Four conditions were quantitatively evaluated: four chlorine-based oxidants, varying Cl/N ratios, mixed chlorine/chloramines systems, and dynamically ammonia-regulated systems.

View Article and Find Full Text PDF

In this study, the water quality index (WQI) was calculated using multivariate statistics, incorporating physical, chemical, and microbiological analysis of water samples taken from water supply networks in the western district of Tehran from 2021 to 2024. The principal drinking water parameters such as pH, total hardness, turbidity, lead (Pb), chloride (Cl), fluoride (F), total dissolved solids (TDS), sulfate (SO), nitrate (NO), nitrite (NO), calcium (Ca), magnesium (Mg), arsenic (As), mercury (Hg), cadmium (Cd), fecal coliform and total residual chlorine (Ch) were selected according to Iranian national water standards. The WQI index was predicted using various machine learning algorithms, including multiple linear regression (MLR), support vector machine (SVM) regression, extreme gradient boosting (XGBoost), Random Forest (RF) regression, multilayer perceptron (MLP), and Kolmogorov-Arnold networks (KAN).

View Article and Find Full Text PDF

Comparative study of residual chlorine, temperature and pH effect on swimming pools contamination by some pathogenic bacteria: Study of a case in Algeria.

J Water Health

August 2025

Biotechnology, Environment and Health Research Laboratory (BEHL), Faculty of Nature and Life Sciences, Department of Biology, Saad Dahlab University - Blida 1, Blida, Algeria E-mail:

Despite the various methods used to disinfect swimming pool water, contamination by human health pathogens remains a serious problem. This study aims to compare the physicochemical parameters (residual chlorine level, temperature, and pH) during swimming with the significant contamination of swimming pool water in Blida city, Algeria, by five pathogenic bacteria harmful to human health: , , , and species. The comparison of pathogenic bacteria averages (colony-forming units (CFU)/100 mL) in the analyzed pool waters with residual chlorine levels (0- < 1 mg/mL) showed that , , and had significant differences ( ≤ 0.

View Article and Find Full Text PDF

Introduction: Waterborne diseases are leading concerns in emergencies. Humanitarian guidelines stipulate universal water chlorination targets, but these fail to reliably protect water as postdistribution chlorine decay can leave water vulnerable to pathogenic recontamination. The Safe Water Optimization Tool (SWOT) models chlorine decay to generate context-specific chlorination targets that ensure water remains protected up to point-of-consumption.

View Article and Find Full Text PDF