On The Added Value Of Radar Data In Hydrological Modelling And Flood Forecasting,
2014
City University of New York (CUNY)
On The Added Value Of Radar Data In Hydrological Modelling And Flood Forecasting, Niels Van Steenbergen, Patrick Willems
International Conference on Hydroinformatics
Good quality rainfall data are essential in hydrological modelling and flood forecasting. Classically, rain gauge data are being used as rainfall input for hydrological modelling, but they only provide point information. Because rainfall can be highly variable in space, radar images can provide important additional spatial information, but the quantitative rainfall data quality of these images is often limited. Merging techniques between rain gauge and radar data can provide a solution to this problem. In this research, a simple kriging merging technique, making use of two C-band radars, is tested for the Demer catchment in Belgium. Three periods with different …
Analysis Of Combined Effects Of Input Uncertainty And Parameter Uncertainty In Hydrological Modelling,
2014
City University of New York (CUNY)
Analysis Of Combined Effects Of Input Uncertainty And Parameter Uncertainty In Hydrological Modelling, Qiang Dai, Dawei Han, Miguel A. Rico-Ramirez
International Conference on Hydroinformatics
Uncertainty of a hydrological model mainly stems from a lack of understanding and knowledge about the real hydrological process. Input uncertainty and parameter uncertainty are considered to be the two major uncertainty sources of hydrological model. Until now, enormous studies have aimed at calibrating model parameters and estimating model uncertainty. However, these studies mainly ascribe the model output uncertainty to the unknown non-physical parameters. In fact, rainfall, especially of weather radar rainfall, is widely recognized as a main error source. There are seldom studies that aim to explicitly describe model input and parameter uncertainty simultaneously. For this reason, in this …
Combined Vertical And Lateral Channel Evolution Numerical Modeling,
2014
City University of New York (CUNY)
Combined Vertical And Lateral Channel Evolution Numerical Modeling, Yong G. Lai, Kuowei Wu
International Conference on Hydroinformatics
Vertical stream bed erosion has been studied routinely and its modeling is getting widespread acceptance. The same cannot be said with lateral stream bank erosion since its measurement or numerical modeling is very challenging. Bank erosion, however, can be important to channel morphology. It may contribute significantly to the overall sediment budget of a stream, is a leading cause of channel migration, and is the cause of major channel maintenance. However, combined vertical and lateral channel evolution is seldom addressed. In this study, a new geofluival numerical model is developed to simulate combined vertical and lateral channel evolution. Vertical erosion …
A Management Indicator Program For Water Operating Agencies,
2014
City University of New York (CUNY)
A Management Indicator Program For Water Operating Agencies, Martha Patricia Hansen Rodríguez, Víctor Hugo Alcocer Yamanaka, Yenni Laurel Varela
International Conference on Hydroinformatics
The management indicator program for operating agencies (PIGOO, for its initials in Spanish) specifies a set of 28 management indicators that help to measure the operational aspects, financial aspects and efficiencies of potable water supply systems. Ideally, the performance indicators of an operating agency should be linked to an objective or strategy established by that same agency. The performance indicators are calculated based on annual data, variables such as the volume of water produced, the number of employees, total income and expenditures, rate of leaks and claims. The Mexican Institute of Water Technology has conducted PIGOO since 2005. From 2005 …
A Services' Frameworks And Support Services For Environmental Information Communities,
2014
City University of New York (CUNY)
A Services' Frameworks And Support Services For Environmental Information Communities, Nicholas J. Car, Matthew Paul Stenson, Simon J. D. Cox, Robert A. Atkinson, Peter Fitch
International Conference on Hydroinformatics
For environmental datasets to be used effectively via the Internet, they must present standardized data and metadata services and link the two. The Open Geospatial Consortium's (OGC) web services (WFS, WMS, CSW etc.), have seen widespread use over many years however few organizations have deployed information architectures based solely on OGC standards for all their datasets. Collections of organizations within a thematically-based community certainly cannot realistically be expected to do so. To enable service use flexibility we present a services framework - a Data Brokering Layer (DBL). A DBL presents access to data and metadata services for datasets, and links …
Improved Sea Level Anomaly Prediction Through Genetic Programming In Singapore Regional Waters,
2014
City University of New York (CUNY)
Improved Sea Level Anomaly Prediction Through Genetic Programming In Singapore Regional Waters, Alamsyah Kurniawan, Seng Keat Ooi, Vladan Babovic
International Conference on Hydroinformatics
With the recent advances in measurement and information technology, there is an abundance of data available for analysis and modelling of hydrodynamic systems. With increasing spatial and temporal data coverage, better quality and reliability of data modelling and data driven techniques are becoming more favorable and acceptable to the hydrodynamic community. The data model integration tools and techniques are being applied in variety of hydroinformatics applications ranging from simple data mining for pattern discovery to data driven models and numerical model error correction. The present study explores the possibility of employing “genetic programming” (GP) as an offline data driven modelling …
Uncertainty Characterization Of A Conceptual Rainfall-Runoff Model By Using Grey Numbers,
2014
City University of New York (CUNY)
Uncertainty Characterization Of A Conceptual Rainfall-Runoff Model By Using Grey Numbers, Stefano Alvisi, Anna Bernini, Marco Franchini
International Conference on Hydroinformatics
A procedure for characterizing global uncertainty of a rainfall-runoff simulation model based on using grey numbers is presented. By using the grey numbers technique the uncertainty is characterized by an interval; once the parameters of the rainfall-runoff model have been properly defined as grey numbers, by using the grey mathematics and functions it is possible to obtain simulated discharges in the form of grey numbers whose envelope defines a band which represents the vagueness/uncertainty associated with the simulated variable. The grey numbers representing the model parameters are estimated in such a way that the band obtained from the envelope of …
A Hybrid Piecewise-Linear/Newton Approach To Solve Multi-Period Production And Distribution Planning Problems In Large Water Supply Networks,
2014
City University of New York (CUNY)
A Hybrid Piecewise-Linear/Newton Approach To Solve Multi-Period Production And Distribution Planning Problems In Large Water Supply Networks, Derek Verleye, El-Houssaine Aghezzaf
International Conference on Hydroinformatics
Efficient production and distribution planning of water is a challenging problem that many drinking water companies face. The development of effective tools to optimally supply this vital resource is therefore essential. Nowadays, many drinking water companies rely on simulation software packages (EPANET, InfoWorks) for the daily operation of their network. This software allows the user to make accurate and thus reliable simulations of the network for a chosen configuration. However, the user-defined scenario’s do not consider the lowest operating costs. Very often the pumps are working at a suboptimal point in their system curve and water production centers are not …
A Diagnostic Assessment Of Evolutionary Multiobjective Optimization For Water Resources Systems,
2014
City University of New York (CUNY)
A Diagnostic Assessment Of Evolutionary Multiobjective Optimization For Water Resources Systems, Patrick M. Reed
International Conference on Hydroinformatics
This study contributes a rigorous diagnostic assessment of state-of-the-art multiobjective evolutionary algorithms (MOEAs) and highlights key advances that the water resources field can exploit to better discover the critical tradeoffs constraining our systems. This study provides the most comprehensive diagnostic assessment of MOEAs for water resources to date, exploiting more than 100,000 MOEA runs and trillions of design evaluations. The diagnostic assessment measures the effectiveness, efficiency, reliability, and controllability of ten benchmark MOEAs for a representative suite of water resources applications addressing rainfall-runoff calibration, long-term groundwater monitoring (LTM), and risk-based water supply portfolio planning. The suite of problems encompasses a …
A Provenance Methodology And Architecture For Scientific Projects Containing Automated And Manual Processes,
2014
City University of New York (CUNY)
A Provenance Methodology And Architecture For Scientific Projects Containing Automated And Manual Processes, Nicholas J. Car, Matthew Paul Stenson, Michael Hartcher
International Conference on Hydroinformatics
The management of provenance metadata is a pressing issue for high profile, complex, science projects needing to trace their data products’ lineage in order to withstand scrutiny. To represent, capture, transfer, store and deliver provenance data from a project’s processes, specialized metadata, new IT system components and the human and automated procedures are necessary. The collection of metadata, components and procedures can be termed a provenance methodolo-gy and architecture. Through our involvement with several large Australian science projects ([4], [5], [6], [7], [11]), we have developed a methodology that provides: Use Case assessments of project clients’ requirements for provenance; team …
Decision Tree Classification Model In Water Supply Network,
2014
City University of New York (CUNY)
Decision Tree Classification Model In Water Supply Network, Sun Jilong, Wang Ronghe, Ping Junhui, Cai Liang, Xiao Chaohong
International Conference on Hydroinformatics
With the service life of water supply network (WSN) growth, the growing phenomenon of aging pipe network has become exceedingly serious. As urban water supply network is hidden underground asset, it is difficult for monitoring staff to make a direct classification towards the faults of pipe network by means of the modern detecting technology. In this paper, based on the basic property data (e.g. diameter, material, pressure, distance to pump, distance to tank, load, etc.) of water supply network, decision tree algorithm (C4.5) has been carried out to classify the specific situation of water supply pipeline. Part of the historical …
Real-Time Runoff Prediction Based On Data Assimilation And Model Bias Reduction,
2014
City University of New York (CUNY)
Real-Time Runoff Prediction Based On Data Assimilation And Model Bias Reduction, Nemanja Branisavljevic, Christopher Hutton, Zoran Kapelan, Lydia Vamvakeridou-Lyroudia, Dragan A. Savić
International Conference on Hydroinformatics
The conceptual nature of rain-runoff models causes a significant drawback in the form of model bias. In certain types of applications, like real-time prediction, the model bias is directly mapped to the prediction result. The methodologies that are developed to improve real-time prediction, like data assimilation or real-time model calibration are taking the advantage of the information in the form of measured real-time data, but does not face the problem of model inaccuracy. In this paper the method based on data assimilation that is capable of detecting and reducing model bias (hence leading to more accurate real-time predictions) is proposed. …
Developing An Integrated Modelling System For Blue-Green Solutions,
2014
City University of New York (CUNY)
Developing An Integrated Modelling System For Blue-Green Solutions, Christos Makropoulos, Evangelos Rozos, Cedo Maksimovic
International Conference on Hydroinformatics
Blue-green interventions represent the next level of integration for sustainable cities: that of an integrated urban water and urban green design, operation and management. The key concept is that a more holistic approach would present a win-win scenario, in which urban green would be utilized as infrastructure for water services (e.g. mitigating urban floods) while urban water infrastructure would be used as a source of irrigation for urban green, increasing their performance in a range of services including amenities, reducing heat island effects and increasing ecosystem services. However, this focus on integration brings into sharp relief another need: that of …
Precipitation Forecasting With Wavelet-Based Empirical Orthogonal Function And Artificial Neural Network (Weof-Ann) Model,
2014
City University of New York (CUNY)
Precipitation Forecasting With Wavelet-Based Empirical Orthogonal Function And Artificial Neural Network (Weof-Ann) Model, Sanaz Imen, Ni-Bin Chang, Y. Jeffrey Yang
International Conference on Hydroinformatics
Western drought began since 2000 caused sharp decrease by about 100 feet in the largest reservoir of North America, Lake Mead due to the precipitation pattern shift in the upstream lower Virgin River Basin. Oceans play an important role on earth’s climate via oceanic-atmospheric interactions known as climate teleconnections, which deeply affect the terrestrial precipitation patterns. This issue signifies the necessity of developing a modern hydroinformatics tool - precipitation forecasting model - to account for teleconnection signals from climate change and mitigate drought hazards impact on lake water, quantitatively and qualitatively, which cannot be achieved by using traditional Global Circulation …
Computationally Efficient Lumped Floodplain Modelling Using Data-Driven Methods,
2014
City University of New York (CUNY)
Computationally Efficient Lumped Floodplain Modelling Using Data-Driven Methods, Vincent Wolfs, Patrick Willems
International Conference on Hydroinformatics
Modelling floodplains adequately is crucial for numerous water management applications. Many of these applications require a large number of simulations or long term analyses, such as optimization problems at catchment scale, uncertainty analyses or real time control of hydraulic structures to prevent flooding. Therefore, models with a limited calculation time are necessary. Various computationally efficient models exist that describe the flow in rivers, but the modelling of floodplains is often overlooked. This study focuses on the computationally efficient lumped modelling of floodplains. Two different data-driven modelling approaches are proposed that predict the inundation level in the floodplain and the flow …
Optimal Placement Of Metering Devices For Multiple Purposes,
2014
City University of New York (CUNY)
Optimal Placement Of Metering Devices For Multiple Purposes, Ramon Perez, Gerard Sanz, Josep Cuguero, Miquel Angel Cuguero
International Conference on Hydroinformatics
Monitoring devices installed in a huge system like a water network imply a high cost. This cost includes installation and maintenance. Thus the placement of these devices must be optimal. The optimal sensor placement is an issue that comes up in many innovation projects in water networks. The use of models even if the final application does not use them may be crucial in such process. Nevertheless the optimality of the placement may depend highly on the final use of these sensors. In general a better placement may imply a more specific use of the information. This work studies the …
Lessons Learned In Solving The Contaminant Source Identification In An Online Context,
2014
City University of New York (CUNY)
Lessons Learned In Solving The Contaminant Source Identification In An Online Context, Hervé Ung, Olivier A. Piller, Deuerlein Jochen, Denis Gilbert, Montalvo Idel
International Conference on Hydroinformatics
Protection of Water Distribution Networks (WDNs) against contamination events has a paramount importance. Either deliberate or accidental contamination of these infrastructures has strong negative consequences from both social and economical point of view. The project SMaRT-OnlineWDN aimed to develop methods and software solutions 1) to detect contamination from non-specific sensors, 2) to maintain an online water quantity and water quality model that is reliable and 3) to use the past model predictions to backtrack the potential sources of contaminations. For source identification, is more reliable velocities from an historical data base a substantial advantage compared to offline velocity predictions? The …
Towards A Decision Support System For Consequence Analysis Of Flooding On Critical Infrastructure,
2014
City University of New York (CUNY)
Towards A Decision Support System For Consequence Analysis Of Flooding On Critical Infrastructure, Andreas Burzel, Micheline Hounjet, Bernhard P.J. Becker, Antonio Di Pietro, Maurizio Pollino, Vittorio Rosato, Alberto Tofani
International Conference on Hydroinformatics
The flooding of the rivers Danube and Elbe caused: dozens of deaths; damaged bridges, streets, dams, railway lines and houses; outages of electrical power, drinking water supply, fixed and mobile telecommunication, water level gauges and purification plants; and crop shortfall. The analysis of the events and emergency response actions exposed flaws in preparedness and the understanding of emergency responders of the need to protect critical infrastructure. For instance, water level gauges failed, flood models for extreme amounts of water were flawed, emergency call numbers became unreachable and first responders could not communicate. As a consequence, protection and evacuation measures could …
Numerical Modeling Of The Fecal Bacteria Transport Processes In Sediment-Laden Flow,
2014
City University of New York (CUNY)
Numerical Modeling Of The Fecal Bacteria Transport Processes In Sediment-Laden Flow, Guoxian Huang, Roger Falconer, Binliang Lin
International Conference on Hydroinformatics
Many experiments, field measurements and few numerical tests shows the transport and fate of Faecal Bacteria have a tight relationship of the sediment transport including the absorbing, releasing and changing the radiation of sunshine especially in the fine cohesive particles and etc. The nonuniform distribution of 2-D and 3-D structures of hydrodynamic, salinity and suspended sediment (SS) in the riverine and estuary may make the solution of Faecal Bacteria to become more complex. With related measured data, the different coupling models based on modified EFDC 2D model are built to solve the dynamic processes of Faecal Bacteria and decouple the …
Water Supply Operating Rules In Parallel Dams By Means Of Genetic Algorithms,
2014
City University of New York (CUNY)
Water Supply Operating Rules In Parallel Dams By Means Of Genetic Algorithms, Rosalva Mendoza-Ramírez, Maritza L. Arganis, Ramón Domínguez Mora, Gerardo Acuna
International Conference on Hydroinformatics
Cutzamala system is the most important hydraulic work that the Mexico State had provided to Mexico’s center region; its objective is the water supply with at least 16 m3/s to the country’s capital, since 1974. The system consist of Tuxpan and El Bosque dams, both located in Michoacán State, and Ixtapan del Oro, Villa Victoria, Valle de Bravo, Chilesdo and Colorines dams located in Mexico State; each one belong to Cutzamala River Basin. At the Institute of Engineering of the National Autonomous University of Mexico studies have been done since the mid-90s of last century in order to obtain optimal …
