Effective Data Management Enables Intelligent Utility Management,
2014
City University of New York (CUNY)
Effective Data Management Enables Intelligent Utility Management, Gary L.S. Wong
International Conference on Hydroinformatics
Instrumentation and automation plays a vital role to managing the water industry. These systems generate vast amounts of data that must be effectively managed in order to enable intelligent decision making. Time series data management software, commonly known as data historians are used for collecting and managing real-time (time series) information. More advanced software solutions provide a data infrastructure or utility wide Operations Data Management System (ODMS) that stores, manages, calculates, displays, shares, and integrates data from multiple disparate automation and business systems that are used daily in water utilities. These ODMS solutions are proven and have the ability to …
Induction Of Governing Differential Equations From Hydrologic Time Series Data Using Genetic Programming,
2014
City University of New York (CUNY)
Induction Of Governing Differential Equations From Hydrologic Time Series Data Using Genetic Programming, Jayashree Chadalawada, Vladan Babovic
International Conference on Hydroinformatics
Induction of Governing Differential Equations from Hydrologic Time Series Data using Genetic Programming Jayashree Chadalawada and Vladan Babovic This contribution describes an evolutionary method for identifying causal model from the observed time-series data. In the present case, we use a system of ordinary differential equations (ODEs) as the causal model. Usefulness of the approach is demonstrated on real-world time series of hydrologic processes and the unknown function of governing factors are determined. To explore the evolutionary search space more effectively, the right hand sides of ODEs are inferred by genetic programming (GP). The importance of different fitness criteria, as well …
Decision-Making Frameworks For Using Sensor Data And Evolutionary Algorithms To Flush A Contaminated Water Distribution System,
2014
City University of New York (CUNY)
Decision-Making Frameworks For Using Sensor Data And Evolutionary Algorithms To Flush A Contaminated Water Distribution System, M. Ehsan Shafiee, Emily Zechman Berglund
International Conference on Hydroinformatics
In the event that a contaminant enters a water distribution system, opening hydrants to flush contaminated water can protect consumers from becoming exposed. Strategies for operating hydrants can be developed to specify the selection of hydrants and the timing of operations to maximize the amount of contaminant that is removed from the system. As an event unfolds, however, sensor data may be the only information that is available to indicate the location and timing of the contaminant source, and ultimately, hydrant strategies must be selected in a highly uncertain environment. The decision-making framework for making real-time decisions to select hydrant …
Numerical Simulation Of 3d Flow In Right-Angled Confluences With Bed Elevation Discordance In The Main River,
2014
City University of New York (CUNY)
Numerical Simulation Of 3d Flow In Right-Angled Confluences With Bed Elevation Discordance In The Main River, Dejana Đorđević
International Conference on Hydroinformatics
Two major morphological phenomena in alluvial river confluences are the development of an avalanche face or faces at the entrance of one or both converging channels to the confluence, due to deposition of coarser sediments, and deepening of the scour hole in the post-confluence channel. The development of an avalanche face creates the difference in bed elevations between incoming and outgoing channels. Laboratory experiments in movable bed models of confluences showed, and bathimetric surveys in field confluences confirmed, that avalanche faces develop in both converging channels only in alluvial river confluences with large junction angles (α ≥ 45o). The effect …
Monitoring Spatiotemporal Total Organic Carbon Concentrations In Lake Mead With Integrated Data Fusion And Mining (Idfm) Technique,
2014
City University of New York (CUNY)
Monitoring Spatiotemporal Total Organic Carbon Concentrations In Lake Mead With Integrated Data Fusion And Mining (Idfm) Technique, Sanaz Imen, Ni-Bin Chang, Y. Jeffrey Yang
International Conference on Hydroinformatics
Forest fires, soil erosion, and land use changes in Lake Mead watershed nearby Las Vegas wash are considered as sources of water quality impairment in the Lake Mead. These conditions result in higher concentration of Total Organic Carbon (TOC). TOC in contact with Chlorine which is often used for disinfection purposes of drinking water supply causes the formation of trihalomethanes (THMs). THM is one of the toxic carcinogens controlled by EPA’s Disinfection By-Product Rule. As a result of threat posed to drinking water of 25 million people downstream, recreation area, and wildlife habitat of Lake Mead, it is necessary to …
Development Of An Information Mapping Framework To Couple Surface Flow And Subsurface Hydraulic Models,
2014
City University of New York (CUNY)
Development Of An Information Mapping Framework To Couple Surface Flow And Subsurface Hydraulic Models, Kashif Shaad, Paolo Burlando
International Conference on Hydroinformatics
Here we present the outline of an information mapping framework that allows coupling of existing surface and subsurface hydraulic modelling domains and can provide an alternate to specialized fully integrated coupled modelling codes. The flexibility of the framework intends to allow selecting solvers with assumptions and representations in-line with the requirements of the area being modelled as well as reusing the expertise that has gone into building the decoupled models as part of the respective surface flow or groundwater study. We focus on 2d representation of surface hydraulics and 3d representation of subsurface flow to form the basis of the …
Evaluating Remediation Potential Of A Salinized Heterogeneous Aquifer System Using Three-Dimensional, Density-Dependent Groundwater Modeling,
2014
City University of New York (CUNY)
Evaluating Remediation Potential Of A Salinized Heterogeneous Aquifer System Using Three-Dimensional, Density-Dependent Groundwater Modeling, Marc Walther, Lars Bilke, Jens-Olaf Delfs, Thomas Graf, Jens Grundmann, Rudolf Liedl, Olaf Kolditz
International Conference on Hydroinformatics
In arid regions, groundwater is the most reliable source for freshwater. Thus, ensuring an aquifer’s long-term stability is one of the fundamental tasks for nowadays groundwater management. Especially in agriculturally used coastal regions, where water consumption exceeds annual recharge, water table drawdown and subsequent saline intrusion are problems that need to be addressed. Wihin the context of the government-funded research project „International Water ResearchAlliance Saxony“, groundwater quality for near-coastal, agriculturally used areas was investigated under the influence of marine saltwater intrusion. In the study region’s near-coastal areas, agricultural development increased tremendously during recent decades, while a steady lowering of the …
On The Influence Of Error Model In The Good Performance Of The Hydrological Model For The Right Reasons.,
2014
City University of New York (CUNY)
On The Influence Of Error Model In The Good Performance Of The Hydrological Model For The Right Reasons., Félix Francés, Mario R. Hernández
International Conference on Hydroinformatics
Hydrological models provide extrapolations or predictions, which are not lacking of uncertainty, which reduces the confidence in their results. One phase of the hydrological implementation process, which significantly contributes to that uncertainty, is the calibration phase in which values of the unknown model parameters are tuned by optimizing an objective function. Traditionally, the most commonly used fitting criterion,has been the simple least squares (SLS), regardless of the SLS criterion involves assumptions about the probability distribution of the errors. Failure of these assumptions introduces noise into the estimation of the parameters, which leads to the phenomenon called model divergence, where the …
Smart-Onlinewdn: A Franco-German Project For The Online Security Management Of Water Distribution Networks,
2014
City University of New York (CUNY)
Smart-Onlinewdn: A Franco-German Project For The Online Security Management Of Water Distribution Networks, Thomas Bernard, Olivier A. Piller, Denis Gilbert, Mathias Braun, Christian Kühnert, Jochen W. Deuerlein, Andreas Korth, Reik Nitsche
International Conference on Hydroinformatics
Water Distribution Networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental chemical, biological or radioactive contamination which need to be detected in due time. However, until now, no monitoring system is capable of protecting a WDN in real time. Powerful online sensor systems are currently developed and the prototypes are able to detect a small change in water quality. In the immediate future, water service utilities will install their networks with water quantity and water quality sensors. For taking appropriate decisions and countermeasures, WDN operators will need to dispose of: 1) a fast and reliable detection of …
A Wireless Mesh Sensor Network Framework For River Flood Detection And Emergency Communications In Case Of Disaster,
2014
City University of New York (CUNY)
A Wireless Mesh Sensor Network Framework For River Flood Detection And Emergency Communications In Case Of Disaster, Mynor Vinicio Anthone Andrade, Satoru Oishi
International Conference on Hydroinformatics
This study proposes an alternative network relatively simple and inexpensive that can be used for maintaining communications capabilities during major natural disasters and other emergency situations by introducing a system that utilizes Short Message Service(SMS) over Wireless Mesh Sensor Networks(WMSNs). To create this WMSN we propose a system using the water level sensors widely used in rivers throughout the world. Nowadays, most of the communication systems and their applications require a network infrastructure like cellular network or the Internet for communications between users. This communication links can become unavailable during a major disaster due to damaged infrastructure and power outages. …
Portable Gpu-Based Artificial Neural Networks For Data-Driven Modeling,
2014
City University of New York (CUNY)
Portable Gpu-Based Artificial Neural Networks For Data-Driven Modeling, Zheng Yi Wu
International Conference on Hydroinformatics
Artificial neural network (ANN) is widely applied as data-driven modeling tool in hydroinformatics due to its broad applicability of handing implicit and nonlinear relationships between the input and output data. To obtain a reliable ANN model, training ANN using the data is essential, but the training is usually taking many hours for large data set and/or for large systems with many variants. This may not be a concern when ANN is trained for offline applications, but it is of great importance when ANN is trained or retrained for real-time and near real-time applications, which are becoming an increasingly interested research …
Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin,
2014
City University of New York (CUNY)
Data Driving Better Decisions In The Great Lakes-St. Lawrence River Basin, Michael Piskur, Becky Pearson
International Conference on Hydroinformatics
The Great Lakes-St. Lawrence River Basin contains approximately twenty percent of the world’s surface freshwater. The five Great Lakes (Superior, Michigan, Huron, Erie, and Ontario) provide drinking water for 24 million people and support industry, agriculture, and a world-class fishery and ecosystem. The region includes parts of two nations, eight U.S. States and two Canadian Provinces, many Tribes and First Nations, thousands of municipalities and local governments, and a range of stakeholders. These various governments and partners work across borders to manage and protect the region’s water resources and share data and information through a legal and political framework that …
Predicting The Impact Of Climate Change On Pipe Failure In Drinking Water Distribution Systems.,
2014
City University of New York (CUNY)
Predicting The Impact Of Climate Change On Pipe Failure In Drinking Water Distribution Systems., Bas Wols, Peter Van Thienen
International Conference on Hydroinformatics
Underground water infrastructure is designed to withstand a variability of forces during its lifetime before failure occurs. As a result of variations in loads on and deterioration of the pipe, early failures may occur. Climate change may accelerate or decelerate these processes. A statistical analysis is therefore performed to study correlations between weather parameters and pipe failure rates in the drinking water distribution systems (DWDS) of the Netherlands. The strongest correlations were found between pipe failure rates and temperature. Failure rates in asbestos cement (AC) and small diameter steel pipes increase during warm periods, which often also show higher water …
A New Methodology For The Design Of Residential Water Distribution Networks And Its Population Range Of Application.,
2014
City University of New York (CUNY)
A New Methodology For The Design Of Residential Water Distribution Networks And Its Population Range Of Application., Daniel Vallejo, Juan Guillermo Saldarriaga, Diego Alejandro Páez, Santiago Serrano
International Conference on Hydroinformatics
For the design of a Water Distribution Systems (WDS) or for Residential Water Networks (RWN) different assumptions have to be made. This implies that the design methodologies for each of the two kinds of networks differ between them and so it is important to define a population value that limits the applicability of each method. This paper will present a new methodology for the RWN’s design process as well as the calculation the population limit. For designing the RWN demands’ predictions have to be made. The new methodology uses the concept of Poisson Rectangular Pulses (PRP) for modeling the water …
2-D And 3-D Numerical Modeling Of Dam Break Waves Over Moveable Beds,
2014
City University of New York (CUNY)
2-D And 3-D Numerical Modeling Of Dam Break Waves Over Moveable Beds, Kamal El Kadi Abderrezzak, Riadh Ata, Pablo Tassi, Dongchen Wang, Jean-Michel Hervouet, Andres Die Moran
International Conference on Hydroinformatics
Dam-break waves over movable beds are multi-physical processes that involve rapidly varying flows, intense sediment transport and significant alteration in bed morphology. In turn, this change in morphology may strongly affect the maximum water levels and arrival time of the wave front, which are the main characteristics to consider for use in risk assessment. In this paper, we report numerical simulations of dam-break waves induced sediment transport using the open source Telemac-Mascaret modeling system (www.opentelemac.org). The 3D hydrodynamic model, TELEMAC-3D, and the 2D depth-averaged hydrodynamic model, TELEMAC-2D, are used. Both models are internally coupled with the sediment transport module SISYPHE. …
Model Predictive Control Combined With Genetic Algorithms For A River System,
2014
City University of New York (CUNY)
Model Predictive Control Combined With Genetic Algorithms For A River System, Po-Kuan Chiang, Patrick Willems
International Conference on Hydroinformatics
Flood is one of the natural disasters. It frequently causes costly economic losses and numbers of lives come to harm. Due to these severe injuries, how to perform an effective flood control is always a huge challenge for governments and water authorities. In order to establish successful flood control strategies to prevent or alleviate flood damages, besides implementing operating rules (regulations) established by water authorities for the hydraulic structures, applying real time optimization-based control strategies is a supplementary tool for water managers to make decisions. It is expected that the importance of such real time control strategies will become more …
Dynamic Water Quality Modelling Of Tannery Effluents – Bogotá River (Colombia),
2014
City University of New York (CUNY)
Dynamic Water Quality Modelling Of Tannery Effluents – Bogotá River (Colombia), Tania Fernanda Santos Santos, Luis Alejandro Camacho
International Conference on Hydroinformatics
Untreated tannery discharges to rivers are still a common practice in developing countries causing severe pollution. In this paper the development and application of a dynamic water quality model to simulate the impact caused by tannery effluents with high contents of sulphides, chlorides and chromium is presented. The proposed model subroutines, designed and implemented in MATLAB/SIMULINK in this work, were coupled to an existing efficient aggregated dynamic river transport and water quality model of conventional determinands. A Chromium (Cr) transport and fate modeling subroutine was implemented to determine the speciation of Cr3 and Cr6 and the dissolved and particulate fractions …
Modeling The Effects Sea Level Rise On Flooding In The Lower Niger River,
2014
City University of New York (CUNY)
Modeling The Effects Sea Level Rise On Flooding In The Lower Niger River, Zahrah Naankwat Musa, Ioana Popescu, Arthur E. Mynett
International Conference on Hydroinformatics
The Niger River bifurcates into the Nun and Forcados rivers as it flows through the Niger delta, with the Forcados River taking 46% of the discharge and the Nun River taking 54%. Within the last fifteen years the Niger delta coastal zone has experienced peak floods between September and October due to intense rains from upstream. Many studies including the United Nations Framework on Convention on Climate Change (UNFCCC) indicate that the Niger delta region could be inundated with water due to the effects of climate change. According to local experts, the Niger delta is subsiding at over 25mm/annum; a …
Prediction Of Scour Depth Around Bridge Piers Using Adaptive Neuro-Fuzzy Inference Systems (Anfis),
2014
City University of New York (CUNY)
Prediction Of Scour Depth Around Bridge Piers Using Adaptive Neuro-Fuzzy Inference Systems (Anfis), Manousos Valyrakis, Hanqing Zhang
International Conference on Hydroinformatics
Earth's surface is continuously shaped due to the action of geophysical flows. Erosion due to the flow of water in river systems has been identified as a key problem in preserving ecological health but also a threat to our built environment and critical infrastructure, worldwide. As an example, it has been estimated that a major reason for bridge failure is due to scour. Even though the flow past bridge piers has been investigated both experimentally and numerically, and the mechanisms of scouring are relatively understood, there still lacks a tool that can offer fast and reliable predictions. Most of the …
Regional Versus Physically-Based Methods For Flood Inundation Modelling In Data Scarce Areas: An Application To The Blue Nile,
2014
City University of New York (CUNY)
Regional Versus Physically-Based Methods For Flood Inundation Modelling In Data Scarce Areas: An Application To The Blue Nile, Kun Yan, Florian Pappenberger, Yakob M. Umer, Dimitri P. Solomatine, Giuliano Di Baldassarre
International Conference on Hydroinformatics
One of the main obstacles in mapping flood hazard in data scarce areas is the difficulty in estimating the design flood, i.e. river discharge corresponding to a given return period. This exercise can be carried out using regionalization techniques, which are based on flood data of regions with similar hydro-climatic conditions, or employing physically based model cascades. In this context, we compared the flood extents maps derived for a river reach of the Blue Nile following two alternative methods: i) regional envelope curve (REC), whereby design floods (e.g. 1-in-20 and 1-in-100 year flood peaks) are derived from African envelope curves …
