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Full-Text Articles in Physical Sciences and Mathematics
Meta-Heuristic Versus Gradient-Type Methods For Real Time Demand Calibration In Water Distribution System, Arango Idel Montalvo, Jochen W. Deuerlein, Olivier A. Piller, Christian Kühnert, Mathias Braun
Meta-Heuristic Versus Gradient-Type Methods For Real Time Demand Calibration In Water Distribution System, Arango Idel Montalvo, Jochen W. Deuerlein, Olivier A. Piller, Christian Kühnert, Mathias Braun
International Conference on Hydroinformatics
Water distribution system modeling in real time involves many challenges for water utilities. Calibration of models to match measurements coming from a water network with calculation resulting from models is a necessary step to make models reliable. There are many variables involved in the analysis of a water distribution system and each of them contains a determined level of uncertainties. Nevertheless, in a real time scenario it is significant the impact that water demands at nodes could have compared with other variables. Demands, in contrast to pipe roughness for example, are much more sensitive to changes in time. A better …
Flood Risk From Extreme Events In Mexico, Adrián Pedrozo-Acuña, Pamela Iskra Mejía-Estrada, Juan Pablo Rodríguez-Rincón, Ramón Domínguez Mora, Fernando Jorge González-Villareal
Flood Risk From Extreme Events In Mexico, Adrián Pedrozo-Acuña, Pamela Iskra Mejía-Estrada, Juan Pablo Rodríguez-Rincón, Ramón Domínguez Mora, Fernando Jorge González-Villareal
International Conference on Hydroinformatics
Flooding is the most common and damaging natural hazard faced by civilization, and flooding threats are likely to increase given current climate change predictions that suggest more intense hurricanes and precipitation. The latter has been recently experienced in the Mexican state of Guerrero, during the severe flood of September 2013. During this event, the heavy rainfall registered in 2 days (~700 mm) produced extreme river discharges that produced significant fluvial impacts and flooding in large areas of the city of Acapulco, causing severe damages and social disruption. In order to study the causes of this disaster, an integrated methodology to …
Catchment-Scale Water Quality Monitoring, Control And Management Framework Using Collaborative Wireless Sensor Networks, Huma Zia, Nick Harris, Geoff Merrett
Catchment-Scale Water Quality Monitoring, Control And Management Framework Using Collaborative Wireless Sensor Networks, Huma Zia, Nick Harris, Geoff Merrett
International Conference on Hydroinformatics
Improving water quality is a global concern, with agricultural practices being the major contributors to reduced water quality. The reuse of nutrient-rich drainage water can be a valuable strategy to maximise water resources and gain economic-environmental benefits. Transmitting event information across a catchment, as the event occurs upstream, allows prediction of the outflow dynamics of the expected discharges downstream. Here, we propose a framework architecture which utilises increasingly common local farm-scale networks and other water-quality monitoring networks across a catchment, adding provision for collaborative information sharing. The key part is that individual networks learn their environment, predicting the impact of …
A Web Based Water Resources Analysis Portal For Occoquan Watershed, Saurav Kumar, Adil Godrej, Thomas Grizzard, Harold Post, Justin Bartlett
A Web Based Water Resources Analysis Portal For Occoquan Watershed, Saurav Kumar, Adil Godrej, Thomas Grizzard, Harold Post, Justin Bartlett
International Conference on Hydroinformatics
In most of the developed world, water resources data, including both water quality and quantity, has been collected for decades. Such datasets are often used to calibrate water resources models that in turn are capable of producing large amounts of data useful for activities such as forecasting and risk analysis. Like many other domains (e.g., finance, marketing, etc.), significant education, extension, and policy making benefits may be had by building data analytics tools to derive knowledge from these datasets. The knowledge thus available may be turned into intelligence by policy makers and may also be used to enhance environmental education …
Thermoclinic Assessment Of A Preliminary Circulation Model For Lake George In The Jefferson Project, Emanuele Ragnoli, Fearghal O Donncha, Jeffrey W. Short, Imad A. Hannoun, Sandra A. Nierzwicki-Bauer, Lloyd A. Treinish, Anthony P. Priano, Charles W. Boylen
Thermoclinic Assessment Of A Preliminary Circulation Model For Lake George In The Jefferson Project, Emanuele Ragnoli, Fearghal O Donncha, Jeffrey W. Short, Imad A. Hannoun, Sandra A. Nierzwicki-Bauer, Lloyd A. Treinish, Anthony P. Priano, Charles W. Boylen
International Conference on Hydroinformatics
The Jefferson Project is a collaboration between the Rensselaer Polytechnic Institute, IBM, and the FUND for Lake George aimed at understanding and managing complex factors (road salt, storm water runoff, invasive species) threatening Lake George, New York. Lake George is located about 80 km north of Albany in upstate New York and is known internationally for its water clarity. Understanding the hydrodynamics of the lake is fundamental for creation and maintenance of a research and monitoring program for the early detection of and response to adverse environmental and biological change. In this work a 3D circulation model of the lake …
Variational Data Assimilation With Telemac. Proof Of Concept For Model State Correction On The Berre Lagoon 3d-Model, Sophie Ricci, Andrea Piacentini, Anthony Weaver, Riadh Ata, Nicole Goutal
Variational Data Assimilation With Telemac. Proof Of Concept For Model State Correction On The Berre Lagoon 3d-Model, Sophie Ricci, Andrea Piacentini, Anthony Weaver, Riadh Ata, Nicole Goutal
International Conference on Hydroinformatics
TELEMAC is a component of the open-source integrated suite of solvers TELEMAC-MASCARET for use in the field of free-surface flow that solves the Reynolds Averaged Navier-Stokes equations. Generally speaking, uncertainties in the model formulation itself due to simplified physics and also in the input fields to the model such as the boundary conditions, initial conditions and hydraulic parameters translate into errors in the simulated hydraulic variables. In spite of significant advances in numerical schemes, description of geographical data (topography, bathymetry) and environmental conditions (hydrologycal and meteorological fields), the representation of the true state of a system as well as its …
Gap Filling Based On A Quantile Perturbation Factor Technique, Diego E. Mora, Guido Wyseure, Patrick Willems
Gap Filling Based On A Quantile Perturbation Factor Technique, Diego E. Mora, Guido Wyseure, Patrick Willems
International Conference on Hydroinformatics
The presence of hydro-meteorological series gaps is a common problem in hydrological and water engineering applications. This is also the case for the Ecuadorian hydrological data-series, showing many gaps of short term duration. This study focuses on the Paute River Basin, in the Southern Ecuadorian Andes. It is one of the most monitored basins in Ecuador, with 25 rainfall observed sites during the period 1963 - 1990. These series suffer of about 20% of missing data. Two techniques were evaluated comparing their efficiency in the filling of missing gaps. The first one is a traditional one based on multiple linear …
Parameterization Of Turbulence Models Using 3dvar Data Assimilation, Agnieszka Indiana Olbert, Stephen Nash, Emanuele Ragnoli, Michael Hartnett
Parameterization Of Turbulence Models Using 3dvar Data Assimilation, Agnieszka Indiana Olbert, Stephen Nash, Emanuele Ragnoli, Michael Hartnett
International Conference on Hydroinformatics
In this research the 3DVAR data assimilation scheme is implemented in the numerical model DIVAST in order to optimize the performance of the numerical model by selecting an appropriate turbulence scheme and tuning its parameters. Two turbulence closure schemes: the Prandtl mixing length model and the two-equation k-ε model were incorporated into DIVAST and examined with respect to their universality of application, complexity of solutions, computational efficiency and numerical stability. A square harbour with one symmetrical entrance subject to tide-induced flows was selected to investigate the structure of turbulent flows. The experimental part of the research was conducted in a …
Moving Horizon Estimation To Assimilate Snow And Soil Moisture Data Into The Hbv Hydrological Model, Rodolfo Alvarado Montero, Dirk Schwanenberg, Peter Krahe, Aynur Şensoy
Moving Horizon Estimation To Assimilate Snow And Soil Moisture Data Into The Hbv Hydrological Model, Rodolfo Alvarado Montero, Dirk Schwanenberg, Peter Krahe, Aynur Şensoy
International Conference on Hydroinformatics
We present a variational data assimilation approach based on a Moving Horizon Estimation (MHE) applied to the HBV hydrological model. This framework enables the modification of the model inputs precipitation and temperature as well as the model states soil moisture, upper zone storage and lower zone storage. It considers data products for snow cover, snow water equivalent and soil moisture and observed streamflow. The performance of the framework is evaluated for three test sites: i) the data–dense catchment of the upper Main River (2419 km2), Germany, for which the HBV model already produces excellent results, ii) a comparable upstream catchment …
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
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, Giovanna Darvini
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 …
Soft Sensing The Potential Amount Of Calcium Carbonate Precipitate In Drinking Water Distribution Infrastructure And Warm Water Household Appliances, Dirk Vries, Joost Van Summeren, Benjamin Van Den Akker, Alex Van Der Helm, Ignaz Worm, Peter Van Thienen
Soft Sensing The Potential Amount Of Calcium Carbonate Precipitate In Drinking Water Distribution Infrastructure And Warm Water Household Appliances, Dirk Vries, Joost Van Summeren, Benjamin Van Den Akker, Alex Van Der Helm, Ignaz Worm, Peter Van Thienen
International Conference on Hydroinformatics
A soft sensor is developed to predict the potential amount of precipitation of calcium carbonate (CCPP) in warm water household devices and scaling or corrosive behavior in water distribution networks. With the aid of a water supply network model, it is shown that the soft sensor is able to predict CCPP levels at pre-specified downstream nodes using only measurements at a limited set of upstream nodes. Furthermore, the soft sensor consists of a data assimilation algorithm to provide for best estimates of the CCPP and confidence intervals.
Remote Sensing Data Assimilation In Water Quality Numerical Model Of Eagle Creek Reservoir Using Ensemble Kalman Filter Method, Amir Javaheri, Meghna Babbar-Sebens
Remote Sensing Data Assimilation In Water Quality Numerical Model Of Eagle Creek Reservoir Using Ensemble Kalman Filter Method, Amir Javaheri, Meghna Babbar-Sebens
International Conference on Hydroinformatics
Numerical models are used as effective tools for simulating complex processes in aquatic systems, such as hydrodynamic and water quality processes. The accuracy of the model is reliant on the multiple model parameters and variables which need to be calibrated and regularly updated to reproduce changing conditions accurately. Different sources of observations such as remote sensing data or in-situ monitoring technologies can improve the model accuracy by providing benefits of individual monitoring technology within the model updating process. Remote sensing technology can provide the spatially dense surface temperature of water body, while in-situ technology is able to prepare more frequent …
Hydroterre Strahler Network Service For Any Level 12 Huc Catchment In The Usa., Lorne Leonard, Chris Duffy
Hydroterre Strahler Network Service For Any Level 12 Huc Catchment In The Usa., Lorne Leonard, Chris Duffy
International Conference on Hydroinformatics
My talk will discuss two related topics to HydroTerre (http://www.hydroterre.psu.edu), a prototype infrastructure that provides researchers, educators, and resource managers with seamless access to geospatial/geotemporal data for supporting physics-based numerical models. The first topic describes the prototype, defining the supporting Essential Terrestrial Variables (ETV’s) and the infrastructure to support models and data anywhere in the continental USA (CONUS). I will address how we are overcoming important problems of accessibility to high-resolution geospatial data sets from multiple sources, scalability of geospatial data in support of distributed models and data-intensive computation for multi-scale, multi-state simulations. The second topic will describe a derived …
Comparison Of Statistical Failure Models To Support Sewer System Operation, Maria Torres, Juan Pablo Rodriguez, Joao P. Leitao
Comparison Of Statistical Failure Models To Support Sewer System Operation, Maria Torres, Juan Pablo Rodriguez, Joao P. Leitao
International Conference on Hydroinformatics
Currently, achieving appropriate operative performance of water infrastructure has become a high priority in urbanized areas. Particularly, providing reliable sewerage service is central for human well-being and its development (Kleidorfer, et al. 2013). Having that wastewater system management is an increasingly complex task due to a number of hardly predictable factors (e.g. deterioration of system components and climate variability), recent research efforts have been focusing on developing methods to identify optimum proactive rehabilitation and maintenance strategies, some of which are based on the identification of the sewerage structures in most need of attention. To meet such a goal, different forecast …
Assimilation Of Heterogeneous Uncertain Data, Having Different Observational Errors, In Hydrological Models, Maurizio Mazzoleni, Leonardo Alfonso, Dimitri P. Solomatine
Assimilation Of Heterogeneous Uncertain Data, Having Different Observational Errors, In Hydrological Models, Maurizio Mazzoleni, Leonardo Alfonso, Dimitri P. Solomatine
International Conference on Hydroinformatics
Accurate real-time forecasting of river water level is an important issue that has to be addressed in order to prevent and mitigate water-related risk. To this end, data assimilation methods have been used to improve the forecasts ability of water model merging observations coming from stations and model simulations. As a consequence of the increasing availability of dynamic and cheap sensors, having variable life-span, space and temporal coverage, the citizens are becoming an active part in information capturing, evaluation and communication. On the other hand, it is difficult to assess the uncertain related to the observation coming from such sensors. …
Estimation Of Offtake Discharge And Cross-Device Parameters Using Data Assimilation For The Automatic Control Of An Irrigation Canal, Pierre-Olivier Malaterre, David Dorchies, Jean-Pierre Baume
Estimation Of Offtake Discharge And Cross-Device Parameters Using Data Assimilation For The Automatic Control Of An Irrigation Canal, Pierre-Olivier Malaterre, David Dorchies, Jean-Pierre Baume
International Conference on Hydroinformatics
The automatic control of open surface hydraulic systems such as Rivers (with dams and/or hydropower plants) or irrigation canals (with gated cross-devices) almost always use hydraulic models. These models can be used in different manners, either just to test and validate controllers prior to implementation, to tune the controller parameters off-line, or used on-line in real-time. The control algorithm calculates the control action variables u, using measured variables z obtained from the real system, in order to achieve some objectives for some controlled variables y. These models have always limited precision due to unknown or wrong: parameters, input variables and …
Hydraulic Modelling And Calibration Of The Upper Silesian Waterworks In Poland, Patryk Wójtowicz, Andrzej Pawlak, Jan Studziński
Hydraulic Modelling And Calibration Of The Upper Silesian Waterworks In Poland, Patryk Wójtowicz, Andrzej Pawlak, Jan Studziński
International Conference on Hydroinformatics
Our paper presents the preliminary results of hydraulic modelling and calibration of a complex water transfer and distribution system of Upper Silesian Waterworks PLC (USW). A new approach to quasi real-time model calibration and validation in connection with an integrated ICT system will be presented. The USW is the biggest water company in Poland and one of the biggest in Europe delivering water to over 3 million customers in Silesian Metropolis, on the area covering about 4.3 thousand square kilometres, with the main water network which is over 880 km long. This water distribution system incorporates central and western sub-regions …
Hydrological Ensemble Forecasting And Data Assimilation With An Integrated Hydrological Modelling System, Henrik Madsen, Diana Lucatero, Marc Ridler, Donghua Zhang, Jens Christian Refsgaard, Karsten Høgh Jensen
Hydrological Ensemble Forecasting And Data Assimilation With An Integrated Hydrological Modelling System, Henrik Madsen, Diana Lucatero, Marc Ridler, Donghua Zhang, Jens Christian Refsgaard, Karsten Høgh Jensen
International Conference on Hydroinformatics
Hydrological forecasting is an important instrument for more effective water management, such as warning and protection against water-related hazards, real-time operation of water infrastructure, improved water allocation, and environmental monitoring. Recent advances within radar rainfall estimation and nowcasting, ensemble-based numerical weather prediction (NWP), in-situ and satellite monitoring, and hydrological data assimilation are opening up new opportunities in real-time hydrological forecasting. NWP ensemble products can be used as input to hydrological forecast models to produce probabilistic forecasts and estimation of forecast uncertainty of the hydrological variables of interest. In this regard, key scientific challenges are understanding, quantification, and propagation of the …
Developing A Hydrologic Information System: Towards Promoting Sustainable Standardization, Abbas Fayad, Ibrahim Alameddine, Majdi Abou Najm, Mutasem El-Fadel
Developing A Hydrologic Information System: Towards Promoting Sustainable Standardization, Abbas Fayad, Ibrahim Alameddine, Majdi Abou Najm, Mutasem El-Fadel
International Conference on Hydroinformatics
Water quantity and quality monitoring plays a key role towards the development of a sustainable water sector. The required infrastructure needed to monitor and manage surface and groundwater systems are often lacking particularly in developing countries. When available, water quantity and quality data are invariably fragmented, intermittent, not shared, with deficient metadata, and stored in formats that hinder establishing seamless coupling with hydrological models. Most data are saved locally with little attention placed on defining and maintaining metadata on the collection protocols, geographic referencing, measurement accuracy, resolution, detection limits, and data censorship. These limitations present serious challenges in reaching sound …
An Architectural Overview Of Hydroshare, A Next-Generation Hydrologic Information System, Jefferson Heard, David G. Tarboton, Ray Idaszak, Jeffery S. Horsburgh, Dan Ames, Alex Bedig, Anthony M. Castronova, Alva Couch
An Architectural Overview Of Hydroshare, A Next-Generation Hydrologic Information System, Jefferson Heard, David G. Tarboton, Ray Idaszak, Jeffery S. Horsburgh, Dan Ames, Alex Bedig, Anthony M. Castronova, Alva Couch
International Conference on Hydroinformatics
HydroShare is an online, open-source, collaborative system being developed for sharing hydrologic data and models as part of the NSF’s Software Infrastructure for Sustained Innovation (SI2) program. The goal of HydroShare is to enable scientists to easily discover and access hydrologic data and models, retrieve them to their desktop, or perform analyses in a distributed computing environment that may include grid, cloud, or high performance computing. Scientists may also publish outcomes (data, results or models) into HydroShare, using the system as a collaboration platform for sharing data, models, and analyses. HydroShare involves a large distributed software development effort requiring collaboration …
Newly Automated System For Integrated Assessment Of The Conditions Of Underwater Gas Pipelines, Oleg Ilinich, Vadim Pryahin
Newly Automated System For Integrated Assessment Of The Conditions Of Underwater Gas Pipelines, Oleg Ilinich, Vadim Pryahin
International Conference on Hydroinformatics
An underwater gas pipeline is the portion of the pipeline that crosses a river beneath its bottom. Underwater gas pipelines are subject to increasing dangers as time goes by. An accident at an underwater gas pipeline can lead to technological and environmental disaster on the scale of an entire region. Therefore, timely troubleshooting of all underwater gas pipelines in order to prevent any potential accidents will remain a pressing task for the industry. The most important aspect of resolving this challenge is the quality of the automated system in question. Now the industry doesn't have any automated system that fully …
Development Of A Repository For Hydrologic Model Uncertainty Data, Elius Etienne, Michael Piasecki
Development Of A Repository For Hydrologic Model Uncertainty Data, Elius Etienne, Michael Piasecki
International Conference on Hydroinformatics
Hydrologic processes are complex and when modeling them using a deterministic or stochastic approach one invariably introduces errors because of simplifications and assumptions made. However, not all assumptions and simplifications in the approach chosen produce the amount of errors; in fact the impact of deviations from the truth on a final output set of variables varies greatly. In addition, not every catchment behaves alike adding another layer of complexity to the modeling effort. Hence, every approach exhibits a degree of uncertainty in their results. While this uncertainty can be examined systematically in this technical note we focus on the development …
Development Of River Recreation Index Model Reflecting Fuzziness In Water Quality Data, Il Won Seo, Soo-Yeon Choi
Development Of River Recreation Index Model Reflecting Fuzziness In Water Quality Data, Il Won Seo, Soo-Yeon Choi
International Conference on Hydroinformatics
Recreational activities in rivers are gaining popularities in Korea due to increase of household income and rehabilitation of riverside. As a lot of people enjoy recreation in water, proper information on the water quality of rivers should be provided to the public in order to secure the safety of publics. In this research, a River Recreation Index (RRI) model was developed based on fuzzy set theory. RRI is the integrated index of important water quality parameters related to recreational activities in rivers and expressed as point from 0 to 100. The fuzzy synthetic evaluation approach was used to reflect the …
Comparative Study On Water Resources Assessment Between Kenya And England, Hesbon Otieno, Dawei Han
Comparative Study On Water Resources Assessment Between Kenya And England, Hesbon Otieno, Dawei Han
International Conference on Hydroinformatics
Water resources systems are important for various uses such as agriculture, water supply, energy, transportation, recreation, ecosystems, among others. Design of water resources systems is of increasing importance due to the ever increasing demand for efficient water management. This study explores water resources assessment in two different regions with contrasting climate, socio-economic development level and data availability. The Thames catchment in England is in the temperate zone, which is data rich and is at a high socioeconomic development level; while, The Tana catchment in Kenya is in the tropics, which is data poor and at a low socioeconomic development level. …
Comparison Of Three Methods For Spatial Distribution Of Error-Correction Algorithms, Xuan Wang, Vladan Babovic
Comparison Of Three Methods For Spatial Distribution Of Error-Correction Algorithms, Xuan Wang, Vladan Babovic
International Conference on Hydroinformatics
Data assimilation is a useful tool to correct the discrepancies of numerical model results by extracting reliable information from observed data. One of popular data assimilation techniques is the spatial distribution based on error-correction, since it can address the challenge when number of monitoring stations is limited. Current research only focuses on the estimation of spatial distribution pattern, or the improvement of the competence of different spatial distribution methods, but lacks the comparison either in their characteristics or in the performances. In this study, we compared three different approaches, Kriging, Artificial Neural Network (ANN) and inter-model correlation inspired by Kalman …
Benefits Of A Surveillance And Response System (Srs) Dashboard - The Philadelphia Water Department Experience, Yakir Hasit, John Vogtman
Benefits Of A Surveillance And Response System (Srs) Dashboard - The Philadelphia Water Department Experience, Yakir Hasit, John Vogtman
International Conference on Hydroinformatics
The Philadelphia Water Department (PWD) developed a comprehensive Surveillance and Response System (SRS) (formerly Contamination Warning System) for its drinking water system under a Water Security initiative grant from the U.S. Environmental Protection Agency. A full-scale SRS is comprised of four monitoring/surveillance components – online water quality monitoring (OWQM), enhanced security monitoring, consumer complaint surveillance, and public health surveillance, and two response components – consequence management and sampling and analysis. The integration of multiple information streams is a core element of an SRS. Taken separately, each surveillance component provides its own set of event triggers that have value for event …
Alternative Strategies For Optimal Water Quality Sensor Placement In Drinking Water Distribution Networks, Peter Van Thienen
Alternative Strategies For Optimal Water Quality Sensor Placement In Drinking Water Distribution Networks, Peter Van Thienen
International Conference on Hydroinformatics
The most commonly applied strategies for optimal water quality sensor placement in drinking water distribution systems are aimed at contamination early warning systems. These strategies aim to minimize the number of people affected in case of a deliberate contamination of drinking water in the distribution system, and provide a valuable tool. A number of factors which are usually not taken into account, including the response strategy to the identification of a contamination event, the fallibility of sensors and changes in network configuration (valve manipulation) and operation, may affect the results of these strategies. Since the quickness and effectiveness of a …
Hydrolapse Videography: A Coupled Hydroinformatic Stack For Improved Visual Assessment Of River Dynamics, Joshua Viers, Nicholas Santos
Hydrolapse Videography: A Coupled Hydroinformatic Stack For Improved Visual Assessment Of River Dynamics, Joshua Viers, Nicholas Santos
International Conference on Hydroinformatics
A central problem for managers of river ecosystems is understanding hydrodynamics in an intelligible fashion for effective decision-making. Too often decisions are based on some combination of incomplete hydrologic time series, poorly parameterized models, photographic snapshots of the place in question, and human imagination. Because river ecosystems are dynamic, with ever changing physical dimensions, inferences are made to make up for unknowns, which remain knowledge gaps. This is particularly true in the pursuit of ecogeomorphology, which seeks to understand the interplay between physical processes and ecological responses in river systems over time. Increasing deployment of affordable sensors, however, is beginning …
On The Influence Of Error Model In The Good Performance Of The Hydrological Model For The Right Reasons., Félix Francés, Mario R. Hernández
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 …