| publications-4151 |
article |
2013 |
Iftekhar, Sayed and Iftekhar, M. S. and Tisdell, John and Tisdell, John and Connor, Jeffery D. and Connor, Jeffery D. |
Effects of competition on environmental water buyback auctions |
Agricultural Water Management |
10.1016/j.agwat.2013.05.015 |
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| publications-4152 |
article |
2015 |
Housh, Mashor and Housh, Mashor and Ostfeld, Avi and Ostfeld, Avi |
An integrated logit model for contamination event detection in water distribution systems. |
Water Research |
10.1016/j.watres.2015.02.016 |
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| publications-4153 |
article |
2013 |
Nikolic, Vladimir M. and Nikolic, Vladimir V. and Nikolic, Vladimir V. and SimonoviΔ‡Μ, Slobodan P. and Simonovic, Slobodan P. and MiliΔ‡eviΔ‡, Dragan and Milicevic, Dragan |
Analytical Support for Integrated Water Resources Management: A New Method for Addressing Spatial and Temporal Variability |
Water Resources Management |
10.1007/s11269-012-0193-z |
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This paper discusses the development of an analytical support system for implementation of the Integrated Water Resources Management (IWRM) process. The system integrates four analytical tools: (i) geographic information system; (ii) system dynamics simulation; (iii) agent-based model; and (iv) hydrologic simulation. The choice of tools is driven by their ability to (a) respond to the main requirements of the IWRM and (b) explicitly describe system behaviour as function of time and location in space. The system dynamics simulation captures temporal dynamics in an integrated feedback model that includes sectors representing physical and socioeconomic system components. Management policies established in the participatory decision making environment are easily investigated through the simulation of system behaviour. Agent-based model is used to analyze spatial dynamics of complex physical-social-economic-biologic system. The IWRM support system is tested using data from the Upper Thames River Watershed, Ontario, Canada, in collaboration with the Upper Thames River Conservation Authority. |
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| publications-4154 |
article |
2012 |
Buse, Helen Y. and Schoen, Mary E. and Ashbolt, Nicholas J. |
Legionellae in engineered systems and use of quantitative microbial risk assessment to predict exposure. |
Water Research |
10.1016/j.watres.2011.12.022 |
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| publications-4155 |
article |
2012 |
Shen, Hailiang and McBean, Edward A. |
False Negative/Positive Issues in Contaminant Source Identification for Water-Distribution Systems |
Journal of Water Resources Planning and Management |
10.1061/(asce)wr.1943-5452.0000162 |
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AbstractA contaminant source identification (CSI) methodology for water distribution systems is intended to identify possible events (i.e.,intrusion nodes, times, duration, and mass rate). The methodology has to be both rapid and able to incorporate uncertainties when identifying possible intrusion nodes (PINs). Identification of PINs has two major issues: the false-negative rate (failure to identify the true ingress location) and the false-positive issue (falsely identifying a location that is not the true ingress location). A data-mining procedure is described and applied, which involves mining an offline-built database to select PINs that possess first-detection times within Β±m from the online sensor first-detection time, with m selected to address issues of false negatives and positives. This data-mining approach is made possible through the power of parallel computing, which demonstrates huge potential by simulating scenarios simultaneously. In the case studies, scenario simulation times are reduc... |
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| publications-4156 |
article |
2012 |
Murray, S. and Murray, Steven and Ghazali, Mirnader and Ghazali, Mirnader and McBean, Edward A. and McBean, Edward A. |
Real-Time Water Quality Monitoring: Assessment of Multisensor Data Using Bayesian Belief Networks |
Journal of Water Resources Planning and Management |
10.1061/(asce)wr.1943-5452.0000163 |
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Real-time sensing in water distribution systems provides a potentially powerful analytical tool for providing water security. Through monitoring surrogate parameters (e.g., pH, turbidity, and residual chlorine) over time, the natural variations of a distribution system’s parameters are established, allowing rapid detection of changes in water quality. However, the level of performance that water quality event detection algorithms have exhibited to date is insufficient for real-world utilization. Bayesian belief networks (BBNs) offer a formalized method of reasoning under uncertainty and are well suited to the analysis of multiple sources of information. The application of a BBN to water quality event detection is described. Surrogate parameters (pH, conductivity, and turbidity) were monitored during an experimental E. coli contamination. Difference filtration using a 60-s moving window of observations identified rapid rates of change present in the surrogate parameter signals, demonstrated as responsive t... |
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| publications-4157 |
article |
2008 |
Adachi, Takao and Adachi, Takao and Ellingwood, Bruce R. and Ellingwood, Bruce R. |
Serviceability of earthquake-damaged water systems: Effects of electrical power availability and power backup systems on system vulnerability |
Reliability Engineering & System Safety |
10.1016/j.ress.2006.10.014 |
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| publications-4158 |
article |
2014 |
Ηλιάδης, ΔημήτΟΞΉΞΏΟ‚ Ξ“. and Eliades, Demetrios G. and Lambrou, Theofanis P. and Lambrou, Theofanis P. and Panayiotou, Christos G. and Panayiotou, Christos G. and Polycarpou, Marios M. and Polycarpou, Marios M. |
Contamination Event Detection in Water Distribution Systems Using a Model-based Approach |
Procedia Engineering |
10.1016/j.proeng.2014.11.229 |
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Abstract This work describes a model-based approach for contamination event detection in water distribution systems using chlorine mea- surements. The proposed method considers the known chlorine input injection signals, and uses multiple Monte-Carlo simulations which run in parallel to the real system, in order to compute at each time step, bounds of the expected chlorine concentration at the different chlorine sensing locations. The sensor measurements are then compared with the estimated bounds and according to a certain event logic, an event alarm flag is raised when these bounds are exceeded. The methodology is applied on a realistic benchmark network, taking into account uncertainties in the hydraulic dynamics. |
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| publications-4159 |
article |
2012 |
Turner, Jonathan and Turner, Jonathan and Qiao, Jun and Qiao, Jianhong and Lawley, Mark and Lawley, Mark and Richard, Jeanβ€Philippe P. and Richard, Jean-Philippe P. and Abraham, Dulcy M. and Abraham, Dulcy M. |
Mitigating shortage and distribution costs in damaged water networks |
Socio-economic Planning Sciences |
10.1016/j.seps.2012.02.001 |
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| publications-4160 |
article |
1996 |
Kuraoka, Senro and Kuraoka, S. and Rainer, J. H. and Rainer, J. H. |
Damage to water distribution system caused by the 1995 Hyogo-ken Nanbu earthquake |
Canadian Journal of Civil Engineering |
10.1139/l96-882 |
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The Hyogo-ken Nanbu earthquake on January 17, 1995, inflicted severe damage to the water distribution system, not only disrupting daily life activities and industrial operations but also causing major problems in fighting fires which destroyed 7377 homes. Disruption of water service is largely due to abundant water main breaks rather than failures of treatment plants, pumping stations, or the reservoirs. The total number (3300) of pipe breaks of the seven cities within 40km east of the epicentre is one of the largest recorded among the strong earthquakes that occurred in the past 20 years. The major damage that led to the lack of water in Kobe City is described, and damage trends of water mains are compared with those found in past earthquakes. Important factors identified from these trends are noted for the study of estimation and mitigation methods of water main damage for the Greater Vancouver area. Key words: earthquake, Hyogo-ken Nanbu, water mains, transmission line, reservoirs, fires, restoration. |
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