Numerical Modeling Of Flow And Sediment Transport Within The Lower Reaches Of The Athabasca River: A Case Study,
2014
City University of New York (CUNY)
Numerical Modeling Of Flow And Sediment Transport Within The Lower Reaches Of The Athabasca River: A Case Study, Shalini Kashyap, Ahmad Shakibaei, Ali Oveisy, Yonas Dibike, Terry Prowse, Droppo Ian
International Conference on Hydroinformatics
This study investigates flow and sediment transport patterns within the lower reaches of the Athabasca River (~250 km) in Alberta, Canada, which are characterized by complex bathymetry, regions of high tortuosity, and variable discharges and bed slopes. Sediment within this reach is primarily sand and gravel, but there is also a high percentage (>10%) of cohesive clay with unique settling properties. A combination of 1D and 2D regional numerical modeling is used here to predict hydrodynamics of the flow and transport of suspended sediment. Bathymetry measurements were obtained from a combination of high resolution 3D Geoswath and ADCP surveys, …
Statistically Downscaled North American Precipitation Using Support Vector Regression And The Big Brother Approach.,
2014
City University of New York (CUNY)
Statistically Downscaled North American Precipitation Using Support Vector Regression And The Big Brother Approach., Carlos F. Gaitan, Keith W. Dixon, Venkatramani Balaji, Renee Mcpherson
International Conference on Hydroinformatics
We implemented a hybrid downscaling model using classification and regression trees and support vector regression with evolutionary strategies to statistically downscale precipitation occurrences and amounts from 16 points across North America. All the selected points belong to different climate regions. In addition, to evaluate the downscaling model’s historical and future performances we used daily precipitation outputs (from a high resolution ~25km grid spacing global atmospheric model) as predictands, and coarsened versions of the same high-resolution outputs from the nearest nine gridpoints (interpolated to a ~100km grid), as predictors. This experimental setup, known as “Big-Brother” allows us to use the high-resolution …
Does The Risk Of Groundwater Depletion Drive Tube-Well Technology Adoption: A Case Of Pakistan,
2014
City University of New York (CUNY)
Does The Risk Of Groundwater Depletion Drive Tube-Well Technology Adoption: A Case Of Pakistan, Arif Watto, Amin Mugera
International Conference on Hydroinformatics
We employ a moment-based approach to empirically analyse farmer’s decisions about adoption of tube-well technology under depleting groundwater resources using a farm level data from 200 farming households in the Punjab province, Pakistan. The results indicate that the higher the expected profit the greater the probability of adoption. Similarly, with increasing variance the probability of adopting tube-well increases significantly indicating that farmers choose to adopt tube-well technology in order to hedge against production risks. Statistical non-significant the third moment i.e., skewness indicates that farmer generally do not consider downside yield risk when decide to adopt tube-well technology whereas highly significant …
Model Configuration And Data Management In The Short-Term Water Information Forecasting Tools,
2014
City University of New York (CUNY)
Model Configuration And Data Management In The Short-Term Water Information Forecasting Tools, Jean-Michel Perraud, James Bennett, David Robertson, Phil Ward
International Conference on Hydroinformatics
The Short-term Water Information and Forecasting Tools (SWIFT) is a suite of tools for flood and short-term streamflow forecasting, consisting of a collection of hydrologic model components and utilities. Catchments are modeled using conceptual subareas and a node-link structure for channel routing. The tools comprise modules for calibration, model state updating, output error correction, ensemble runs and data assimilation. Given the combinatorial nature of the modelling experiments and the sub-daily time steps typically used for simulations, the volume of model configurations and time series data is substantial and its management is not trivial. SWIFT is currently used mostly for research …
Bayesian Model Averaging Approach For Reducing Urban Flooding Damage Estimation Uncertainty,
2014
City University of New York (CUNY)
Bayesian Model Averaging Approach For Reducing Urban Flooding Damage Estimation Uncertainty, Vincenza Notaro, Chiara Maria Fontanazza, Gabriele Freni
International Conference on Hydroinformatics
Uncertainty analysis is useful to define the level of reliability of a modelling application, but operational methods are needed to identify the best modelling structure for a specific problem based on uncertainty reduction criteria. One interesting example is given by flood damage estimation problem where different possible modelling solution and flood damage estimation can be used depending on the case study. Past literature showed that several modelling structures may be equally reliable in terms of calibration ability but they may produce different uncertainty levels. The use of the Bayesian approach for uncertainty analysis has been stimulated by its rigorous theoretical …
Hydropower Energy Simulation Using Mike 11 Model; A Case Study In South Germany's Small Run-Of-River Hydropower Plants,
2014
City University of New York (CUNY)
Hydropower Energy Simulation Using Mike 11 Model; A Case Study In South Germany's Small Run-Of-River Hydropower Plants, Frezer Seid Awol, Tobias Drueckler, Silvia Matz
International Conference on Hydroinformatics
Renewable energy production is a basic supplement to stabilize rapidly increasing global energy demand and skyrocketing energy price as well as to balance the fluctuation of supply from non-renewable energy sources at electrical grid hubs. The European energy traders, government and private company energy providers and other stakeholders have been, since recently, a major beneficiary, customer and clients of Hydropower simulation solutions. The relationship between rainfall-runoff model outputs and energy productions of hydropower plants has not been clearly studied. In this research, association of rainfall, catchment characteristics, river network and runoff with energy production of a particular hydropower station is …
The Construction Of Monitoring And Warning System For Flash Flood Defense In China,
2014
City University of New York (CUNY)
The Construction Of Monitoring And Warning System For Flash Flood Defense In China, Xiaoyan He, Dawei Zhang, Minglei Ren, Xiaoming Jiang
International Conference on Hydroinformatics
Flash floods often occurred suddenly and they also usually induce the occurrence of landslides and debris flows. The work of flash flood defense is full of challenge because of the complex process of flash flood formation. Disasters caused by flash flood occurred frequently and have an increasing trend in China with huge casualty. Therefore the Chinese government increased more inputs on the study of flash flood defense. After some endeavors in recent years, a set of non-structural measures on flash flood defense has been established featuring Chinese characteristics. In these measures, monitoring and warning system is a core. This paper …
A Tool For Automatic Estimation Of The Stage Height For Ungauged River Sites,
2014
City University of New York (CUNY)
A Tool For Automatic Estimation Of The Stage Height For Ungauged River Sites, Hojun You, Dongsu Kim, Yongwon Seo, Il Won Seo
International Conference on Hydroinformatics
Recently, River Information Systems that integrate a variety of riverine information have been widely developed, driven by information technologies. The present study attempts to develop a software called HydroConnector that dynamically integrates river-based numerical modeling or post-processing with in situ data, based upon a data searching technique that uses a hydro web service built on top of an ODM-based database, following a CUAHSI standard. It fundamentally differs from the conventional direct access to the database for acquiring a given period of a dataset. Such a hydro web service and ODM-based database were built by utilizing existing real-time stream gaging data, …
Parameterization And Sampling Design For Water Distribution Networks Demand Calibration Using The Singular Value Decomposition: Application To A Real Network,
2014
City University of New York (CUNY)
Parameterization And Sampling Design For Water Distribution Networks Demand Calibration Using The Singular Value Decomposition: Application To A Real Network, Gerard Sanz, Ramon Perez
International Conference on Hydroinformatics
The availability of a good hydraulic model increases the reliability of the results of methodologies using it. Thus the calibration of the model is a previous step that has to be done. The most uncertain parameters of the model are demands due to their constant variability. However, calibrating these demands requires a high computational cost that can be reduced by redefining the unknown parameters from demands to demand patterns. Besides, the number and location of the used sensors is highly correlated with the definition of such patterns. This paper presents a methodology for parameterizing and selecting sensors using the information …
Publishing And Federating Global Water Data And Maps Via Web Services,
2014
City University of New York (CUNY)
Publishing And Federating Global Water Data And Maps Via Web Services, David K. Arctur, David R. Maidment
International Conference on Hydroinformatics
Finding and accessing data in most countries of the world about local, regional and national water resources (streamflow discharge, gauge depth, soil moisture, etc.) has been complicated by a number of issues, from concerns of local and national security, to lack of suitable conventions and standards for data exchange that could be reasonably implemented and enforced at the national and international levels. These issues are now starting to be addressed, thanks to recently adopted standards for hydrologic data exchange, and growing acceptance of community standards for web services to perform such data exchange. This presentation reviews recent work in this …
Model Integration To Improve An Early Warning System For The Pollution Control Of The Cauca River, Colombia,
2014
City University of New York (CUNY)
Model Integration To Improve An Early Warning System For The Pollution Control Of The Cauca River, Colombia, Carlos Martínez-Cano, Alberto Galvis, Franco Alvis, Micha Werner
International Conference on Hydroinformatics
One of the main problems in the water supply system in the city of Cali is related to the water quality of the Cauca River. An important source of pollution upstream of the intake of the Puerto Mallarino Treatment Plant (PMTP) is the south channel, part of the South Drainage System (SDS) which discharges into the Cauca River. The existing Early Warning System (EWS) prototype named EWS-Centinela aims to use the real-time data from the Milan station located in the Navarro area and data generated from the intake of PMTP. EWS-Centinela estimates the risk level of a critical pollution event …
On The Modeling And Real-Time Control Of Urban Drainage Systems: A Survey,
2014
City University of New York (CUNY)
On The Modeling And Real-Time Control Of Urban Drainage Systems: A Survey, Luis Antonio Garcia Gutierrez, Eduardo Escobar, Duvan Téllez, Julian Barreiro Gómez, Nicanor Quijano Silva, Carlos Ocampo-Martinez
International Conference on Hydroinformatics
Drainage network are complex systems composed by several processes including recollection, transport, storing, wastewater and/or rain treatment, and return of the water to a receiving environment. Urban drainage systems (UDS) involve most of these processes inside cities and can be either separate or combined systems, depending on how wastewater and rainwater are managed. The way UDS manage the wastewater is through the convenient handling of active elements such as gates (redirection and/or retention), storing tanks and pumping stations, when needed. Therefore, the modeling and control of UDS basically consists in knowing and representing the (dynamical) behavior of those elements and …
Automated Event Management And Integration Of Scada With Gis And Cmms: Project Insygnia,
2014
City University of New York (CUNY)
Automated Event Management And Integration Of Scada With Gis And Cmms: Project Insygnia, Francisco Javier Fernandez, Elias Manrique
International Conference on Hydroinformatics
Canal de Isabel II Gestión S.A. (henceforth, Canal Gestión) is a public corporation that deals with the full water cycle in the region of Madrid, Spain. It provides service to more than 6.3 million people, in an area of about 8000 sq. km. Its supply and sewage system is quite complex, and its operation requires sophisticated ITC systems. One in particular, the centralised SCADA, captures data from nearly 50000 instruments. This information generates an average of about 3000 alarms a day, which are treated in its Main Control Centre. In order to make a better management of these alarms, and …
Evaluating Climate Change Scenarios For Regional Hydrological Management In Mountainous Semi-Arid Environments,
2014
City University of New York (CUNY)
Evaluating Climate Change Scenarios For Regional Hydrological Management In Mountainous Semi-Arid Environments, Agustín Millares, Javier Herrero, Cristina Aguilar, María José Polo
International Conference on Hydroinformatics
Snow processes play a relevant role in semi-arid mountainous basins where snowmelt dynamics conditions the availability of water resources. In such environments, many rivers flow during the dry season due to the water storage in the snow cover while heavy rainfall events sporadically trigger severe flood events. These particularities confer to these areas special interest due to their high sensitivity in the hydrological response against changes in the meteorological conditions. This issue could be critical in many regions of the world linked to semi-arid mountain areas (e.g., the Atlas Mountains, Andean Cordillera,…) and presents a real challenge for future modifications …
Levels Of Data Interoperability In The Emerging North American Groundwater Data Network,
2014
City University of New York (CUNY)
Levels Of Data Interoperability In The Emerging North American Groundwater Data Network, Boyan Brodaric, Nate Booth, Eric Boisvert, Jessica Lucido
International Conference on Hydroinformatics
The Canadian Groundwater Information Network (GIN) and the US National Ground-Water Monitoring Network (NGWMN) connect data from a variety of sources including states, provinces and federal agencies. Data heterogeneity is a major challenge faced by these networks, one that must be overcome at five distinct levels: systems, syntax, structure, semantics, and pragmatics. This paper discusses approaches taken at each of the five levels to ensure interoperability between the Canadian and American networks. The result is an emerging North American Groundwater Data Network, which enables users to access data transparently and uniformly on either side of the shared border.
Flood Alert System For Early Warning In Mountainous Coastal Watersheds: Coupling Data-Driven And Physically Based Hydrological Models,
2014
City University of New York (CUNY)
Flood Alert System For Early Warning In Mountainous Coastal Watersheds: Coupling Data-Driven And Physically Based Hydrological Models, Javier Herrero, Zacarías Gulliver, María José Polo
International Conference on Hydroinformatics
Early warning systems are an essential tool for preventing flood risks and managing alert situations from real time data-driven outputs. In Mediterranean coastal regions, the response time is usually a constraint for decision-making since many watersheds have travel times of just a few hours from head sources to the floodplain in the valleys. In such situations, the anticipation of the alert situation in terms of probability occurrence is a key fact for managing alert conditions and mitigate flood consequences. Coupling data-driven forecasting with hydrological models may constitute a robust tool for alert assessment, provided that sound calibrations are available. This …
High-Resolution Flash Flood Forecasting For Large Urban Areas – Sensitivity To Scale Of Precipitation Input And Model Resolution,
2014
City University of New York (CUNY)
High-Resolution Flash Flood Forecasting For Large Urban Areas – Sensitivity To Scale Of Precipitation Input And Model Resolution, Dong-Jun Seo, Arezoo Rafieei Nasab, Behzad Nazari, Amir Norouzi, Thomas Mathew, Haonan Chen, V. Chandrasekar, Piraporn Jangyodsuk
International Conference on Hydroinformatics
Urban flash flooding is a serious problem in large, highly populated areas such as the Dallas-Fort Worth Metroplex (DFW). Being able to monitor and predict flash flooding at a high spatiotemporal resolution is critical to mitigating its threat and cost-effective emergency management. In general, the higher the resolution of the model and the precipitation input is, the better the spatiotemporal specificity of the model output is. Due to the errors in the precipitation input, model parameters and model itself, however, there are practical limits to the resolution of modeling. In this work, we assess the dependence of accuracy in streamflow …
Toward A Flood Information System (Tabi̇s) For Turkey,
2014
City University of New York (CUNY)
Toward A Flood Information System (Tabi̇s) For Turkey, Ismail Haltaş, Ibrahim Demir
International Conference on Hydroinformatics
Flooding is a serious natural disaster in Turkey similar to rest of the world causing significant economical damage and loss of lives every year. Unlike many other natural hazards floods can be predicted ahead of time. Developing real-time flood event prediction models and early warning systems helps minimizing the economical damage and risk of loss of lives. Also hydrologic and hydraulic modeling of the probable floods and developing flood hazard maps allows to proper planning of flood prevention and protection measures. Both the real-time flood event prediction models and hydrologic-hydraulic modeling of flood involve huge amount of data from several …
A Two Phase Numerical Model For The Water Injection Dredging (Wid) Technology: An Unified Formulation For Continuum Mechanic,
2014
City University of New York (CUNY)
A Two Phase Numerical Model For The Water Injection Dredging (Wid) Technology: An Unified Formulation For Continuum Mechanic, Dan Nguyen, Miguel Uh Zapata, Georges Gauthier, Philippe Gondret, Damien Pham Van Bang
International Conference on Hydroinformatics
Accurate simulation of the sediment processes at the vicinity of the sediment bed/water interface is still very difficult because of the multi-physic character of the problem. A soil is a continuum and porous media having solid properties such as elasticity and plasticity. It is usually considered as impermeable boundary which could evolve through erosion and deposition fluxes. Flow characteristics close to the liquid-bed interface are poorly described by soil mechanics and rheological characteristics of the soil are usually neglected by fluid mechanics. In order to account for the flow domain as a whole, extending from the substratum up to the …
Application Of Data Mining For Reverse Osmosis Process In Seawater Desalination,
2014
City University of New York (CUNY)
Application Of Data Mining For Reverse Osmosis Process In Seawater Desalination, Jaewuk Koo, Yonghyun Shin, Sangho Lee, Juneseok Choi
International Conference on Hydroinformatics
Reverse osmosis (RO) membrane process has been considered a promising technology for water treatment and desalination. However, it is difficult to predict the performance of pilot- or full-scale RO systems because numerous factors are involved in RO performance, including variations in feed water (quantity, quality, temperature, etc), membrane fouling, and time-dependent changes (deteriorations). Accordingly, this study intended to develop a practical approach for the analysis of operation data in pilot-scale reverse osmosis (RO) processes. Novel techniques such as artificial neural network (ANN) and genetic programming (GP) technique were applied to correlate key operating parameters and RO permeability statistically. The ANN …
