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Boulos P.F.,Innovyze
Water Resources Management | Year: 2017

Urbanization can significantly increase the load on aging, inefficient and already strained sewer infrastructure, resulting in catastrophic pipe failure, unwanted spillage, property damage, and serious threat to public health. Urbanization can also dramatically alter the natural water cycle, resulting in diminished water quality, increased frequency and severity of flooding, channel erosion and destruction of aquatic habitat. Recent advances in smart water network (SWN) modeling technology have played a crucial and growing role in addressing these challenges. SWN technology has equipped practicing engineers with a comprehensive set of analytical decision making tools designed to help them preserve structural integrity, manage and reduce the risks of sewer overflow and urban runoff, improve resiliency and keep their urban drainage networks operating well into the future. These advances propel routine conveyance system analysis from basic planning and design to two-dimensional surface/subsurface flow modeling, real-time operation and control, analytical risk-based asset integrity and condition assessment, and optimal selection and placement of green infrastructure based on cost and effectiveness. SWN is providing critically needed support to federal, state, and local agencies and watershed practitioners — not only in optimizing their integrated water management and adaptation strategies, but in ensuring sustainable drainage, addressing environmental quality restoration and protection needs in urban and developing areas, and improving communities’ resiliency. It is also within the grasp of utilities of all sizes, but they need to seize the opportunity. © 2017 Springer Science+Business Media Dordrecht

Boulos P.F.,Innovyze | Jacobsen L.B.,Las Vegas Valley Water District | Heath J.E.,Innovyze | Kamojjala S.,Las Vegas Valley Water District
Journal - American Water Works Association | Year: 2014

Water utilities worldwide face increasing challenges to preserve the hydraulic and water quality integrity of their water distribution networks. These challenges stem from burgeoning populations and migration to urban cities that continue to increase the load on aging, inefficient, and already strained infrastructures. This has created a pressing need for integrating supervisory control and acquisition systems with network simulation models for proactive management of these networks. Such an integrated platform is the basis for the real-time smart water network decision support system (SWNDSS) described here. The proposed system has the power to transform a water utility's routine network modeling functions from planning and design to full-spectrum engagement that drives more efficient operations - including managing water quality and energy, developing daily operating plans, addressing planned and emergency outages, and diagnosing and resolving field issues. Aspects of the SWNDSS ar described in a case study from the Las Vegas Valley Water District in Las Vegas, Nev. 2014 © American Water Works Association.

Huang X.,Innovyze | Niemann J.D.,Colorado State University
GSA Reviews in Engineering Geology | Year: 2014

Gullies are common features throughout the southwestern United States including Army training facilities such as the Piñon Canyon Maneuver Site. These gullies have depths up to several meters, which can restrict the mobility of troops and vehicles during training exercises. They also have the potential to grow in size, which can degrade training lands. At the upstream end, gullies usually begin with an abrupt headwall, and in the downstream direction, gullies also tend to terminate abruptly. In this paper, we hypothesize that the small extent of convective storms and significant transmission losses in channels promote the downstream disappearance of gullies. The role of these factors is tested by applying a geomorphic model in which storms occur within circular portions of the simulation domain and channel flow is lost to seepage up to a specified infiltration or seepage capacity in each grid cell. The net effect of these processes is to reduce the sediment transport capacity in the downstream direction relative to the case with an infinite storm size and no channel losses. The reduced sediment capacity alters the relationship between slope and drainage area for topographies at equilibrium. In addition, limited storm sizes can also produce disconnected areas of incision within generally depositional portions of the landscape. © 2014 The Geological Society of America. All rights reserved.

Barnett T.C.,Innovyze | Venayagamoorthy S.K.,Colorado State University
Journal - American Water Works Association | Year: 2014

Transitions in flow regimes that can occur in drinking water contact tanks may significantly affect the disinfection efficiency of the system. To demonstrate these effects, the authors investigated the internal velocity fields and flow regime of a drinking water contact tank located in Jamestown, Colo. The baffling factor (BF) of the system fluctuated annually between 0.5 and 0.6 because of a shift in flow regime caused by changes in the flow rate of the system. The authors studied the effects of the regime change from laminar to turbulent flow (or vice versa) using computational fluid dynamics (CFD) models and physical tracer studies. Several inlet modifications were then investigated using CFD to determine which alteration would be most beneficial. Key findings showed that with proper inlet modification, the BF of the system could be stabilized at 0.6 during periods of high or low flow. 2014 © American Water Works Association

Madin B.,BSE | Ausiin R.,Innovyze
BHR Group - 12th International Conference on Pressure Surges | Year: 2016

Hydraulic transient analysis and surge mitigation design was undertaken for two pipeline systems, one fully pressurized for water transfer between reservoirs and one a wastewater main with both pressurized and free surface flow. For both systems one-way surge (feed) tanks were selected as the best solution for preventing column separation at critical points in the pipeline, based primarily on locality of protection and overall cost-effectiveness. This paper reviews the design choices, tank performance and practical issues that have arisen since commissioning, with the aim of helping practising pipeline design engineers make effective and appropriate use of one-way surge tanks for surge mitigation. © BHR Group 2015.

Boulos P.F.,Innovyze Inc. | Barnett T.C.,Innovyze | Dickinson R.E.,Innovyze
Journal - American Water Works Association | Year: 2015

Smart-water-network (SWN) modeling technology plays a crucial and growing role in resolving challenges of diminished water quality, increased frequency and severity of flooding, channel erosion, and destruction of aquatic habitat. It provides watershed managers with a comprehensive set of analytical and decision-making tools designed to help manage and reduce the risks of urban runoff . Such advances have transformed routine watershed runoff computation and network routing from basic planning and design to two-dimensional surface flow models that support optimal selection and placement of BMP/LIDs based on cost and effectiveness. SWN models are seamlessly integrated into geographic information systems to support development of watershed simulation networks, two-dimensional surface-mesh generation, and spatial placement and site suitability of BMP/LID options, as well as to provide geoprocessing functions and visualization facilities for display and manipulation of data and results. SWN models represent the most effective and viable means for simulating runoff quantity and qual?ity conditions from a single storm event or from long-term, continuous storm events in urban areas.

Madin B.,GHD | Austin R.,Innovyze
BHR Group - 11th International Conferences on Pressure Surges | Year: 2012

Field test validation of pressure transient models is often confined to crude comparison of peak pressures, providing only a weak test of model performance and tending to foster use of the model as a 'black box' for predicting such pressures. Conversely, detailed comparison of model results with the dynamic behaviour observed during field tests can be of great value in improving both the model and the engineer's understanding of the system. This is illustrated by a case study of the correction and validation of a pressure transient model of a water transfer system located in Northern Queensland, Australia. ©BHR Group2012 Pressure Surges 11.

Filion Y.,Queen's University | Jung B.S.,Innovyze
Urban Water Management: Challenges and Oppurtunities - 11th International Conference on Computing and Control for the Water Industry, CCWI 2011 | Year: 2011

Water distribution systems (WDSs) are designed and operated to consistently and economically deliver water from source to consumer in sufficient quantity, of acceptable quality, and at appropriate pressure. One important source of uncertainty in network design is in the estimation of needed fire flow. The paper offers a critical assessment and comparison of two previously developed risk-based methods that characterize uncertainty in fire flow and fire risk in the optimization of branched and looped water distribution networks. The first approach combines an analytical probabilistic model of fire risk with a non-dominated multi-objective genetic algorithm to size pipe diameters in branched water distribution networks. The second approach combines a quasi-analytical integration-based method to estimates fire damages with a Particle Swarm Optimization algorithm. The paper discusses the advantages and disadvantages and limitations and assumptions of each approach. Both approaches are demonstrated by way of case studies on branched and looped water networks.

Boulos P.F.,Innovyze | Szana K.,Innovyze | Givler S.,5605 63rd Street
World Environmental and Water Resources Congress 2013: Showcasing the Future - Proceedings of the 2013 Congress | Year: 2013

The real-time information revolution and the availability of detailed all-pipe GIS-centric network models present new opportunities to improve water distribution system operations and management and address security challenges. This paper describes the development of a Smart Water Network (SWN) decision support tool that integrates GIS, SCADA, demand forecasting, operations optimization, predictive analytics, and real-time network modeling in the control room. SWN simulates flows, pressures, and water quality conditions in real time, providing an accurate representation of actual system performance. It enables operators to evaluate problem-solving approaches, control their systems during critical failures, detect network anomalies, establish a baseline to assess their systems' operational efficiency, produce optimized pumping schedules, conserve water, and reduce wear on the infrastructure. SWN moves a water utility's routine modeling applications from planning and design to emergency and maintenance response, leakage detection and main burst prediction, and optimized energy costs. It can also assist water utilities in the decision-making processes for network asset inventory, rehabilitation requirements, and financial planning. The range of applications of SWN is discussed, and a case study for the City of Boulder, Colorado is presented. © 2013 American Society of Civil Engineers.

Jung B.S.,Innovyze
Journal - American Water Works Association | Year: 2011

A water distribution system (WDS) is designed and operated to consistently deliver water from source to consumer in sufficient quantity, of acceptable quality, at appropriate pressure, and as economically as possible. Transient events in a WDS are inevitable and usually occur because of actions at pump stations and control valves. Because all pipeline systems eventually leak and hydraulic transients occur continuously in WDSs, it is not surprising that low-pressure transient events offer considerable potential to draw untreated and possibly hazardous water into the piping system. The first objective is formulated as a least-cost optimization problem with pipe diameters as the decision variable. The second objective is to minimize the likelihood of damaging transient events. In this study, the authors use a new surge damage measure called the surge damage potential factor (SDPF). For any transient event, the SDPF is defined as the integration of the transient pressures that are lower than the minimum required level or higher than the maximum allowable transient pressure level.

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