scholarly journals Effective drinking water collaborations are not accidental: Interagency relationships in the international water utility sector

2014 ◽  
Vol 470-471 ◽  
pp. 934-944 ◽  
Author(s):  
D.I. Jalba ◽  
N.J. Cromar ◽  
S.J.T. Pollard ◽  
J.W. Charrois ◽  
R. Bradshaw ◽  
...  
2006 ◽  
Vol 1 (2) ◽  
Author(s):  
B.H. MacGillivray ◽  
P.D. Hamilton ◽  
S.E. Hrudey ◽  
L. Reekie ◽  
S.J.T Pollard

Risk analysis in the water utility sector is fast becoming explicit. Here, we describe application of a capability model to benchmark the risk analysis maturity of a sub-sample of eight water utilities from the USA, the UK and Australia. Our analysis codifies risk analysis practice and offers practical guidance as to how utilities may more effectively employ their portfolio of risk analysis techniques for optimal, credible, and defensible decision making.


Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 49
Author(s):  
Madeline A. Grupper ◽  
Madeline E. Schreiber ◽  
Michael G. Sorice

Provision of safe drinking water by water utilities is challenged by disturbances to water quality that have become increasingly frequent due to global changes and anthropogenic impacts. Many water utilities are turning to adaptable and flexible strategies to allow for resilient management of drinking water supplies. The success of resilience-based management depends on, and is enabled by, positive relationships with the public. To understand how relationships between managers and communities spill over to in-home drinking water behavior, we examined the role of trust, risk perceptions, salience of drinking water, and water quality evaluations in the choice of in-home drinking water sources for a population in Roanoke Virginia. Using survey data, our study characterized patterns of in-home drinking water behavior and explored related perceptions to determine if residents’ perceptions of their water and the municipal water utility could be intuited from this behavior. We characterized drinking water behavior using a hierarchical cluster analysis and highlighted the importance of studying a range of drinking water patterns. Through analyses of variance, we found that people who drink more tap water have higher trust in their water managers, evaluate water quality more favorably, have lower risk perceptions, and pay less attention to changes in their tap water. Utility managers may gauge information about aspects of their relationships with communities by examining drinking water behavior, which can be used to inform their future interactions with the public, with the goal of increasing resilience and adaptability to external water supply threats.


2017 ◽  
Vol 18 (5) ◽  
pp. 1739-1746
Author(s):  
D. L. Gallagher ◽  
K. Phetxumphou ◽  
A. M. Dietrich

Abstract Chemical spills polluting drinking water are often mixtures with each chemical having unique characteristics for partitioning, toxicity, and odour leading to significant differences in human risk exposures. A 2014 chemical spill of crude (4-methylcyclohexyl)methanol (MCHM) resulted in a $126 million USD fine to the water utility. The spill consisted of at least ten chemicals including 34% cis- and 60% trans-4-MCHM and 0.7% cis- and 0.3% trans-methyl-4-methylcyclohexanecarboxylate (MMCHC). While a very minor component, trans-MMCHC contributed substantially to odour because of its high Henry's Law Constant, 2.23 × 10−2 at 40 °C showering, and low odour threshold concentration (OTC), 0.02 ppb-v, air. Using USEPA risk assessment parameters in a 15-minute shower model with influent concentration of 42 ppb-aq cis- and trans-4-MMCHC, representative of initial spill concentrations in the distribution system, adult ingestion and inhalation for trans-MMCHC were almost equal, 4.00 × 10−4 and 4.26 × 10−4 mg/kg/d, respectively. For children, inhalation doses exceeded ingestion dose: 1.72 × 10−3 mg/kg/d versus 0.93 × 10−3 mg/kg/day trans-MMCHC. This exposure assessment with varying OTC for crude MCHM chemicals reinforces considering chemical, physical, and biological properties of all chemicals in the spill. Consumers aware of their exposure to chemicals in drinking water lost consumer confidence; the water utility was required to compensate individuals and businesses for financial losses.


Water Policy ◽  
2012 ◽  
Vol 15 (2) ◽  
pp. 325-333 ◽  
Author(s):  
Sanford V. Berg

Six recent publications by the International Water Association underscore the growing importance of quantitative studies of water utilities for identifying (1) performance patterns, (2) trends in key indicators and (3) best practice. Since each author takes a different approach to the problem of performance measurement and incentives for improvement, the books provide different perspectives on the decision-relevance of empirical analysis and cases for managers and policymakers. Key lessons from the volumes include the use of benchmarking as a tool for establishing better internal incentives, the importance of data collection and auditing and the role of transparency in helping stakeholders become more informed about utility operations. Analysts need to help stakeholders understand sector complexities, where hydrology, topology, historical developments outside current management's control, population income levels and the amount of skilled labor differ widely across and even within nations. The six books taken together underscore the value of quantifying relative performance and improving our awareness of production processes and the institutional arrangements that support strong water sector performance.


2018 ◽  
Author(s):  
Karel van Laarhoven ◽  
Ina Vertommen ◽  
Peter van Thienen

Abstract. Genetic algorithms can be a powerful tool for the automated design of optimal drinking water distribution networks. Fast convergence of such algorithms is a crucial factor for successful practical implementation at the drinking water utility level. In this technical note, we therefore investigate the performance of a suite of genetic variators that was tailored to the optimisation of a least-cost network design. Different combinations of the variators are tested in terms of convergence rate and the robustness of the results during optimisation of the real world drinking water distribution network of Sittard, the Netherlands. The variator configurations that reproducibly reach the furthest convergence after 105 function evaluations are reported. In the future these may aid in dealing with the computational challenges of optimizing real world networks.


2012 ◽  
Vol 12 (5) ◽  
pp. 580-587 ◽  
Author(s):  
Stephen Mounce ◽  
John Machell ◽  
Joby Boxall

Safe, clean drinking water is a foundation of society and water quality monitoring can contribute to ensuring this. A case study application of the CANARY software to historic data from a UK drinking water distribution system is described. Sensitivity studies explored appropriate choice of algorithmic parameter settings for a baseline site, performance was evaluated with artificial events and the system then transferred to all sites. Results are presented for analysis of nine water quality sensors measuring six parameters and deployed in three connected district meter areas (DMAs), fed from a single water source (service reservoir), for a 1 year period and evaluated using comprehensive water utility records with 86% of event clusters successfully correlated to causes (spatially limited to DMA level). False negatives, defined by temporal clusters of water quality complaints in the pilot area not corresponding to detections, were only approximately 25%. It was demonstrated that the software could be configured and applied retrospectively (with potential for future near real time application) to detect various water quality event types (with a wider remit than contamination alone) for further interpretation.


2013 ◽  
Vol 13 (6) ◽  
pp. 1569-1575 ◽  
Author(s):  
Jan Cromphout ◽  
Stefanie Goethals ◽  
Liesbeth Verdickt

De Watergroep, a Flemish drinking water utility, aims to optimize the ozonation process at the Kluizen surface waterworks in order to obtain sufficient inactivation of pathogenic micro-organisms while minimizing the formation of bromate. In literature, the inactivation of micro-organisms is described as a first order process in ozone exposure (ozone concentration multiplied by exposure time or CT value). In the full-scale plant, the ozone exposure was determined at different temperatures and ozone doses, and an empirical relation between ozone exposure, ozone dose and temperature was derived. Based on the results, the optimum ozone dose required to obtain a Log 2 removal of viruses and a Log 1 removal of Giardia was determined as a function of temperature. Bromate formation was found to be dependent on the ozone dose rather than on the CT value. Therefore, an empirical relation between bromate formation, ozone dose and temperature was established. Bromate formation was found to be far below the legal standard of 10 μg/L when the optimum ozone dose, required to achieve the disinfection goals for viruses and Giardia, is applied.


2005 ◽  
Vol 52 (8) ◽  
pp. 191-197 ◽  
Author(s):  
C.M. Ferguson ◽  
B. Croke ◽  
N.J. Ashbolt ◽  
D.A. Deere

This paper describes the development and testing of a mathematical model as a tool to quantify pathogen loads in Sydney's drinking water catchments. It has been used to identify, quantify and prioritise sources of Cryptosporidium, Giardia and E. coli in the Wingecarribee catchment. The pathogen model promotes understanding of the relative significance of different sources of pathogen risks as well as their fate and transport as they move through the subcatchments. This pathogen model not only enables water utility managers to identify those catchment segments that may contribute the highest load of pathogens, but also where management options will be most effective.


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