Harmonization Of Vocabularies For Water Data,
2014
City University of New York (CUNY)
Harmonization Of Vocabularies For Water Data, Simon J.D. Cox, Jonathan Yu, Bruce A. Simons
International Conference on Hydroinformatics
Observational data encodes values of properties associated with a feature of interest, estimated by a specified procedure. For water the properties are physical parameters like level, volume, flow and pressure, and concentrations and counts of chemicals, substances and organisms. Water property vocabularies have been assembled at project, agency and jurisdictional level. Organizations such as EPA, USGS, CEH, GA and BoM maintain vocabularies for internal use, and may make them available externally as text files. BODC and MMI have harvested many water vocabularies alongside others of interest in their domain, formalized the content using SKOS, and published them through web interfaces. …
Web-Based Engine For Discovery Of Observations Using Landscape Units,
2014
City University of New York (CUNY)
Web-Based Engine For Discovery Of Observations Using Landscape Units, Haowen Xu, Abbas Ali Amir, Marian Muste
International Conference on Hydroinformatics
Investigations of natural resources processes realted to the water cycle are best studied using a commensurate landscape unit for the spatial extent of the process. Consequently, the capability to efficiently delineate the watershed extent along with the main hydrological characteristics and behavior of the river network and its drainage area is essential. The watershed search engine discussed in the present paper is designed to identify various observations acquired in the upstream drainage area of the watershed from a point specified by the user. The point can be selected on or outside the stream network using a web mapping interface. The …
River Water Quality Modelling In Developing A Catchment Water Safety Plan,
2014
City University of New York (CUNY)
River Water Quality Modelling In Developing A Catchment Water Safety Plan, Jose Vieira, Jose Pinho
International Conference on Hydroinformatics
The primary aim of a catchment water safety plan is to reduce risks within the catchment to protect the quality of drinking water sources at the point of abstraction. Even where effective arrangements for catchment management and control have been implemented, unexpected deterioration in raw water quality can pose a risk to treated drinking water quality. Thus potential sources of pollution impacting the abstraction point should be identified and monitored. An important part of any catchment management strategy includes implementation of raw water monitoring programmes, targeted at the most likely microbiological challenges to water treatment. When combined with good monitoring …
Fews-Waterways For Economically And Efficiently Navigating On Inland Waterways.,
2014
City University of New York (CUNY)
Fews-Waterways For Economically And Efficiently Navigating On Inland Waterways., Juzer F. Dhondia, Rolien Van Der Mark, Meeuwis Van Wirdum, R Smits
International Conference on Hydroinformatics
This paper describes the use of Delft-FEWS as part of a tool for navigating on Inland Waterways economically and efficiently. Delft-FEWS, as developed by Deltares, is an operational real time forecasting system which links data and models in real time. FEWS-Waterways forecasts water depth, , flow velocity, air clearance based on measured and forecasted hydrological and metrological data and current state of the waterway system. This feature of Delft-FEWS is used in an economy planner giving advice to ship masters with respect to: maximal cargo volume, minimum fuel consumption and the optimal ship speed in order to arrive in time …
A Spatial-Temporal Downscaling Approach To Construction Of Rainfall Intensity-Duration-Frequency Relations In The Context Of Climate Change,
2014
City University of New York (CUNY)
A Spatial-Temporal Downscaling Approach To Construction Of Rainfall Intensity-Duration-Frequency Relations In The Context Of Climate Change, Van-Thanh-Van Nguyen, Myeong-Ho Yeo
International Conference on Hydroinformatics
This paper proposes a spatial-temporal downscaling approach to construction of the intensity-duration-frequency (IDF) relations at a local site in the context of climate change and variability. More specifically, the proposed approach is based on a combination of a spatial downscaling method to link large-scale climate variables given by General Circulation Model (GCM) simulations with daily extreme precipitations at a site and a temporal downscaling procedure to describe the relationships between daily and sub-daily extreme precipitations based on the scaling General Extreme Value (GEV) distribution. The feasibility and accuracy of the suggested method were assessed using rainfall data available at eight …
Application Of 1d And 2d Numerical Models For Assessing And Visualizing Effectiveness Of Natural Flood Management (Nfm) Measures,
2014
City University of New York (CUNY)
Application Of 1d And 2d Numerical Models For Assessing And Visualizing Effectiveness Of Natural Flood Management (Nfm) Measures, Sohan Ghimire, Mark Wilkinson, Gillian Donaldson-Selby
International Conference on Hydroinformatics
Natural Flood Management (NFM) techniques that include alteration, restoration or use of landscape features, have emerged as a novel way of reducing flood risk in Scotland. NFM aims to reduce the peak flood downstreamincreasing the time available to prepare for flood. Water storage ponds are very effective for this purpose. The aim of the paper is to present findings of a modelling approach to floodinundation and risk assessment, and its application for assessing the effectiveness of wetland storage ponds as NFM measures. The study was undertaken in a rural catchment (Tarland Burn, area ~74 km2) located in Aberdeenshire, north-east Scotland. …
Applicability Of A Flood Forecasting Method Utilizing Global Satellite Information To An Insufficiently-Gauged River Basin: A Case Of A River Basin In The Philippines,
2014
City University of New York (CUNY)
Applicability Of A Flood Forecasting Method Utilizing Global Satellite Information To An Insufficiently-Gauged River Basin: A Case Of A River Basin In The Philippines, Mamoru Miyamoto, Makoto Ono, Toshio Okazumi, Seishi Nabesaka, Yoichi Iwami
International Conference on Hydroinformatics
Currently, basin-wide flood monitoring and warning systems are being implemented sequentially in river basins of the Philippines, which suffer from severe floods. The Cagayan River basin is among them draining the area of 27,280km2, where five rainfall and water level gauges are installed for the purpose of flood monitoring and warning. Despite the installed monitoring system, an operational flood forecasting model based on physical processes has not been performed for this basin. IFAS, a distributed hydrological model developed by ICHARM, was applied to the Cagayan River basin as a flood forecasting model. One of its notable functions is the capability …
Short-Term Reservoir Optimization By Stochastic Optimization To Mitigate Downstream Flood Risks,
2014
City University of New York (CUNY)
Short-Term Reservoir Optimization By Stochastic Optimization To Mitigate Downstream Flood Risks, Dirk Schwanenberg, Fernando Mainardo Fan, Steffi Naumann, Julio Kuwajima, Rodolfo Alvarado Montero, Alberto Assis Dos Reis
International Conference on Hydroinformatics
An important objective of the operation of multi-purpose reservoirs is the mitigation of flood risks in downstream river reaches. Under the assumptions of reservoirs with finite storage volumes, a key factor for its effective use during flood events is the proper timing of detention measures under consideration of forecast uncertainty. Operational flow forecasting systems support this task by providing deterministic or probabilistic inflow forecasts and decision support components to assess optimum release strategies. We focus on the decision support component and propose a deterministic optimization and its extension to an adaptive multi-stage stochastic optimization. These techniques are used to compute …
Integration Of Multi-Objective Genetic Algorithm And Support Vector Machine For Hourly Typhoon Rainfall Forecasting,
2014
City University of New York (CUNY)
Integration Of Multi-Objective Genetic Algorithm And Support Vector Machine For Hourly Typhoon Rainfall Forecasting, Bing-Chen Jhong, Gwo-Fong Lin
International Conference on Hydroinformatics
During typhoon periods, accurate hourly rainfall forecasts are extremely important. A new typhoon rainfall forecasting model that integrates multi-objective genetic algorithm (MOGA) with support vector machines (SVM) is presented in this paper. Apart from the rainfall data, the meteorological variables are also considered. An application to high- and low-altitude meteorological stations has shown that the proposed model yields the best performance as compared to other models. Results indicate that meteorological variables are helpful. The proposed model significantly improves hourly typhoon rainfall forecasting, especially for the long lead time forecasting. Moreover, the optimal combination of inputs is determined by the proposed …
Automatic Frequency-Based Flood Forecast From Numerical Weather Prediction Using A Service-Oriented Architecture,
2014
City University of New York (CUNY)
Automatic Frequency-Based Flood Forecast From Numerical Weather Prediction Using A Service-Oriented Architecture, Ang Zhang, Tiejian Li, Haiyun Shi, Wang Fu, Jiaye Li
International Conference on Hydroinformatics
Destructive floods occurred more frequently in mountainous regions in China in recent years. However, the meteorological and hydrological station network in such regions is usually poor, and no long-series observations are available. Therefore, it is difficult to determine the hydrological parameters for flood discharge and stage forecast. This paper aims to propose an automatic frequency-based flood forecast framework from numerical weather prediction (NWP) using a Service Oriented Architecture (SOA). The proposed framework has 4 main steps. First, historical flood discharge is simulated by using a distributed hydrological model and satellite-derived rainfall dataset (e.g., the CMORPH and the TRMM), and the …
Short-Term Optimization Of A Canal Network For Navigation And Water Management,
2014
City University of New York (CUNY)
Short-Term Optimization Of A Canal Network For Navigation And Water Management, Arnejan Van Loenen, Min Xu, Robin Engel
International Conference on Hydroinformatics
We present the design, implementation and operational use of a short-term optimization approach for the operational water management of the Twentekanalen canal system for navigation and water resources management. The system was originally designed for navigation and its construction had been completed in 1938. In the past decades, it also became increasingly important for the regional water management. In summer periods, the system provides the region with fresh water and helps to drain the area otherwise. The short-term optimization is implemented in the Operational Monitoring System for the National Regulated Water Systems for advising the operating staff on the operation …
Prediction Of Hydrological Models’ Uncertainty By A Committee Of Machine Learning-Models,
2014
City University of New York (CUNY)
Prediction Of Hydrological Models’ Uncertainty By A Committee Of Machine Learning-Models, Nagendra Kayastha, Dimitri P. Solomatine, Durga Lal Shrestha
International Conference on Hydroinformatics
This study presents an approach to combine uncertainties of the hydrological model outputs predicted from a number of machine learning models. The machine learning based uncertainty prediction approach is very useful for estimation of hydrological models' uncertainty in particular hydro-metrological situation in real-time application [1]. In this approach the hydrological model realizations from Monte Carlo simulations are used to build different machine learning uncertainty models to predict uncertainty (quantiles of pdf) of the a deterministic output from hydrological model . Uncertainty models are trained using antecedent precipitation and streamflows as inputs. The trained models are then employed to predict the …
Snowmelt Modelling Of Dhauliganga River Using Snowmelt Runoff Model,
2014
City University of New York (CUNY)
Snowmelt Modelling Of Dhauliganga River Using Snowmelt Runoff Model, Dhyan Singh Arya, Amar Kant Gautam, Asmita Ramkrishna Murumkar
International Conference on Hydroinformatics
Snowmelt modeling was attempted in this study using Snowmelt Runoff Model to simulate streamflow in Tamak Lata Catchment located in the Indian Himalayas. The daily snow cover data was generated using the depletion curves prepared using snow cover information obtained from MODIS remote sensing images during May 2009 to August 2012. Discharge, temperature and rainfall data observed at Tamak Lata during May 2009 to August 2012 were used for calibration and validation of the model. The characteristics of snow cover in the basin shows that the accumulation of snow at higher altitude starts from the second week of October and …
The Contribution Of Fine Scale Atmospheric Numerical Models In Improving The Quality Of Hydraulic Modelling Outputs,
2014
City University of New York (CUNY)
The Contribution Of Fine Scale Atmospheric Numerical Models In Improving The Quality Of Hydraulic Modelling Outputs, Rabia Merrouchi, Dalila Loudyi, Mohamed Chagdali
International Conference on Hydroinformatics
The atmospheric numerical models have known great advances with the ongoing development of numerical weather prediction and computing resources. The spatial and temporal resolution of the global atmospheric models has improved and therefore, the accuracy and reliability of their results have substantially increased. Emphasis was made on the improvement of models dynamics and physical aspects, but also on data assimilation and input data diversification using new numerical schemes and new physical parameterizations that better assess the small-scale weather phenomena. However, these models were not able to overcome their physical limitations and therefore, some small-scale processes are far from being thoroughly …
Application Of Numerical Modelling For Conceptualizing Abstraction Rate Control In A Well Field Under Complex Boundary Conditions,
2014
City University of New York (CUNY)
Application Of Numerical Modelling For Conceptualizing Abstraction Rate Control In A Well Field Under Complex Boundary Conditions, Sebastian Handl, Ernest Mayr, Tobias Gauster, Reinhard Perfler
International Conference on Hydroinformatics
This paper aims at presenting a concept for regulating water abstraction from a well field which ensures an efficient exploration of river filtrate while complying with defined minimum residence time of inflowing water. Being located on an island between a river and an attendant channel, the investigated well field consists of eight radial collector wells aligned parallel to the river flow direction. The water-level in the river is kept comparatively constant due to a downstream hydropower plant. In the channel, the water level is controlled by two weirs. Following a defined hydrograph with an amplitude of about one meter, the …
Numerical Study To Enhance Stability Condition Within The River Mouth; Case Study: Rosetta Promontory, Egypt,
2014
City University of New York (CUNY)
Numerical Study To Enhance Stability Condition Within The River Mouth; Case Study: Rosetta Promontory, Egypt, Ali Masria, Abdelazim Negm, Moheb Iskander, Oliver Saavedra
International Conference on Hydroinformatics
Estuaries play an important role in exchanging water and providing a navigational pathway for ships. These zones are very sensitive and vulnerable to any interventions in coastal dynamics. Almost major of these inlets experience coastal problems such as severe erosion, and accretion. Rosetta promontory is an example of this environment. It suffers from many coastal problems as erosion problem along the coastline and siltation problem inside the inlet. It is due to lack of water and sediment resources as a side effect of constructing the Aswan High dam. The shoaling of the inlet leads to hindering the navigation process of …
An Ensemble Approach For Typhoon Runoff Simulation With Perturbed Rainfall Forecasts In Taiwan,
2014
City University of New York (CUNY)
An Ensemble Approach For Typhoon Runoff Simulation With Perturbed Rainfall Forecasts In Taiwan, Lan Yu, Lloyd Hock Chye Chua, Dong-Sin Shih
International Conference on Hydroinformatics
Under the background of demand for accurate and reliable flood forecasting, various methodologies are used to model floods. However, not all the phases of the hydrograph can be predicted by any models, even though the global optimum may be reached. In order to exploit the distinct information provided by different models, an ensemble approach is proposed to improve the forecasting accuracy and reliability. The ensemble precipitation estimates from a Weather Research Forecasting (WRF) model were used to as inputs to model the rainfall-runoff process in Taiwan. A Dynamic Evolving Neural-Fuzzy Inference System was applied to combining the predictions of the …
Data Assimilation And Multidimensional Model Coupling On The Adour Catchment, South-West Of France,
2014
City University of New York (CUNY)
Data Assimilation And Multidimensional Model Coupling On The Adour Catchment, South-West Of France, Sébastien Barthélémy, Sophie Ricci, Nicole Goutal, Etienne Le Pape, Olivier Thual
International Conference on Hydroinformatics
This study focuses on the hydrodynamic modelling of the tidally influenced “Adour maritime” catchment located in South-West of France. The local SPC is in charge of operational flood-forecasting and for that purpose, the 1D hydraulic software MASCARET developed at EDF is used. Due to various sources of uncertainties on the hydraulic parameters and hydrological forcing, the free-run is imperfect and should be corrected for improved forecast of extreme events. An Ensemble Kalman Filter algorithm was implemented on top of the hydraulic model using the OpenPalm coupler to assimilate hourly water level in-situ data from observing stations. The water-level and discharge …
Experimental Design For Model Discrimination And Precise Parameter Estimation In Wds Analysis,
2014
City University of New York (CUNY)
Experimental Design For Model Discrimination And Precise Parameter Estimation In Wds Analysis, Giovanna Darvini
International Conference on Hydroinformatics
In water distribution system (WDS) analysis, the initial stages of model assembling, which involve collecting basic WDS data (network topology, asset data, etc.), demand allocation and validation or correction of gross input data errors, are important precursors for calibration of the network. During these first steps one must define which model of the network is the most suitable one for a particular application, as the final results and conclusions usually depend on the model used to perform the simulations and provide the interpretation of the analyzed problem. Sometimes, it is not possible to make a proper choice based solely on …
Performance Evaluation Of Smos Soil Moisture Retrieval Parameters For Hydrological Application,
2014
City University of New York (CUNY)
Performance Evaluation Of Smos Soil Moisture Retrieval Parameters For Hydrological Application, Prashant K. Srivastava, Dawei Han, Miguel A. Rico-Ramirez, Peggy O'Neil, Tanvir Islam, Manika Gupta
International Conference on Hydroinformatics
Microwave remote sensing has high potential for soil moisture retrieval. However, the efficient retrieval of soil moisture depends on optimally choosing the soil moisture retrieval parameters. In this study first the initial evaluation of SMOS L2 product is performed and then four approaches regarding soil moisture retrieval from SMOS brightness temperature are reported. The radiative transfer equation based tau-omega rationale is used in this study for the soil moisture retrievals. The single channel algorithms (SCA) using H polarisation is implemented with modifications, which includes the effective temperatures simulated from ECMWF (downscaled using WRF-NOAH Land Surface Model (LSM)) and MODIS. The …
