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Harmonization Of Vocabularies For Water Data, Simon J.D. Cox, Jonathan Yu, Bruce A. Simons Aug 2014

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. …

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Decision Making System For Water Production And Treatment Process As Well As Blending Of Multiple Water Sources Gat Micro Grid, Dal-Sik Woo, Sung-Hoon Shin, Haksoo Lee, Seounghyun Kim Aug 2014

Decision Making System For Water Production And Treatment Process As Well As Blending Of Multiple Water Sources Gat Micro Grid, Dal-Sik Woo, Sung-Hoon Shin, Haksoo Lee, Seounghyun Kim

International Conference on Hydroinformatics

Usage of water is on rise worldwide as a result of population growth and urbanization. Accordingly, conflicts are created to secure the water source among nations. Water production and treatment expense also incurred too much. To solve this problem, decision making system for blending of multiple water source, water production and treatment process are needed in order to provide secured water resources, customized water quantity and quality. Multiple water sources are classified into surface water, underground water, treated waste water, rain water, seawater and Brackish Water. Each of them can be treated to meet demand of customized water quantity and …

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A Study On The Water Quality Improvement Of The Songdo Waterfront's Canal System, Dongwoo Jang, Gyewoon Choi, Sangjin Ahn Aug 2014

A Study On The Water Quality Improvement Of The Songdo Waterfront's Canal System, Dongwoo Jang, Gyewoon Choi, Sangjin Ahn

International Conference on Hydroinformatics

This study aims to investigate the flow conditions in the proposed canal system to be located in Songdo District, Incheon. Incheon Free Economic Zone (IFEZ) is concerned about the potential issues like water quality and algal problems, which will greatly affect the success of the Songdo waterfront development.Thus there is a need to ensure that natural stream flow and good water quality will maintain. In order to do this, a 3D numerical model, MIKE 3 FM was setup and used to investigate the water circulation system with respect to the operation of the four water gates present at the ends …

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Eco-Hydrological Process Simulations Within An Integrated Surface Water-Groundwater Model, Michael Brian Butts, Maria Loinaz, Roberta Serena Blasone, Peter Bauer-Gottwein, Flemming Thorbjørm Hansen, Birgitte Von Christierson, Jannick Kolbjoern Jensen, Jane Bang Poulsen Aug 2014

Eco-Hydrological Process Simulations Within An Integrated Surface Water-Groundwater Model, Michael Brian Butts, Maria Loinaz, Roberta Serena Blasone, Peter Bauer-Gottwein, Flemming Thorbjørm Hansen, Birgitte Von Christierson, Jannick Kolbjoern Jensen, Jane Bang Poulsen

International Conference on Hydroinformatics

There are several key modelling challenges in addressing the complementary requirements of the Water Framework Directive and the Groundwater Directive. The first is to consider groundwater, surface water, water quality and ecosystems as an integrated system and develop modelling tools capable of representing these interactions. For example, the restoration of wetlands often requires an understanding of the interaction of surface water and groundwater quantity and quality. Secondly while static indicator-based or statistical approaches are widely used for overall management, the actual ecosystem is highly dynamic and both the actual response to different threats and impact of measures will also be …

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Water Resources Policy Development Using Hydrologic And Systems Dynamics Modeling – A Case Study For East Africa, Lauren Gies, Buyung Agusdinata, Venkatesh Merwade Aug 2014

Water Resources Policy Development Using Hydrologic And Systems Dynamics Modeling – A Case Study For East Africa, Lauren Gies, Buyung Agusdinata, Venkatesh Merwade

International Conference on Hydroinformatics

Drought is a natural disaster that affects millions of people across the globe. Lack of rainfall reduces crop yields and livestock productivity and in turn, food availability and income. In developing countries, these effects are even more detrimental. As droughts become more frequent, adaptation is a fundamental concern for countries and their policy makers. Hydrologic and system dynamics models were developed for a region in East Africa, focused on the Horn of Africa (ie. a region bordering Kenya, Somalia, and Ethiopia), an area well-known for frequent droughts due to unpredictable rainfall and high temperatures. The models simulate the interdependencies between …

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Rediscovering Manning’S Equation Using Genetic Programming, Carlos F. Gaitan Aug 2014

Rediscovering Manning’S Equation Using Genetic Programming, Carlos F. Gaitan

International Conference on Hydroinformatics

Open-channel hydraulics’ (OCH) research traditionally links empirical formulas to observational data. One of the most common equations in OCH is Manning’s formula for open channel flow (Q) driven by gravity (also known as the Gauckler-Manning-Strickler formula). The formula relates the cross-sectional average velocity (V=Q/A), the hydraulic radius (R), and the slope of the water surface (S) with a friction coefficient n, characteristic of the channel’s surface. Here we show a practical example where Genetic Programming (GP), a technique derived from Bioinformatics, can be used to derive an empirical relationship based on different synthetic datasets of the aforementioned parameters. Specifically, we …

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Induction Of Governing Differential Equations From Hydrologic Time Series Data Using Genetic Programming, Jayashree Chadalawada, Vladan Babovic Aug 2014

Induction Of Governing Differential Equations From Hydrologic Time Series Data Using Genetic Programming, Jayashree Chadalawada, Vladan Babovic

International Conference on Hydroinformatics

Induction of Governing Differential Equations from Hydrologic Time Series Data using Genetic Programming Jayashree Chadalawada and Vladan Babovic This contribution describes an evolutionary method for identifying causal model from the observed time-series data. In the present case, we use a system of ordinary differential equations (ODEs) as the causal model. Usefulness of the approach is demonstrated on real-world time series of hydrologic processes and the unknown function of governing factors are determined. To explore the evolutionary search space more effectively, the right hand sides of ODEs are inferred by genetic programming (GP). The importance of different fitness criteria, as well …

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Smart-Onlinewdn: A Franco-German Project For The Online Security Management Of Water Distribution Networks, Thomas Bernard, Olivier A. Piller, Denis Gilbert, Mathias Braun, Christian Kühnert, Jochen W. Deuerlein, Andreas Korth, Reik Nitsche Aug 2014

Smart-Onlinewdn: A Franco-German Project For The Online Security Management Of Water Distribution Networks, Thomas Bernard, Olivier A. Piller, Denis Gilbert, Mathias Braun, Christian Kühnert, Jochen W. Deuerlein, Andreas Korth, Reik Nitsche

International Conference on Hydroinformatics

Water Distribution Networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental chemical, biological or radioactive contamination which need to be detected in due time. However, until now, no monitoring system is capable of protecting a WDN in real time. Powerful online sensor systems are currently developed and the prototypes are able to detect a small change in water quality. In the immediate future, water service utilities will install their networks with water quantity and water quality sensors. For taking appropriate decisions and countermeasures, WDN operators will need to dispose of: 1) a fast and reliable detection of …

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Dynamic Water Quality Modelling Of Tannery Effluents – Bogotá River (Colombia), Tania Fernanda Santos Santos, Luis Alejandro Camacho Aug 2014

Dynamic Water Quality Modelling Of Tannery Effluents – Bogotá River (Colombia), Tania Fernanda Santos Santos, Luis Alejandro Camacho

International Conference on Hydroinformatics

Untreated tannery discharges to rivers are still a common practice in developing countries causing severe pollution. In this paper the development and application of a dynamic water quality model to simulate the impact caused by tannery effluents with high contents of sulphides, chlorides and chromium is presented. The proposed model subroutines, designed and implemented in MATLAB/SIMULINK in this work, were coupled to an existing efficient aggregated dynamic river transport and water quality model of conventional determinands. A Chromium (Cr) transport and fate modeling subroutine was implemented to determine the speciation of Cr3 and Cr6 and the dissolved and particulate fractions …

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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 Aug 2014

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 …

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Application Of Data Mining For Reverse Osmosis Process In Seawater Desalination, Jaewuk Koo, Yonghyun Shin, Sangho Lee, Juneseok Choi Aug 2014

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 …

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A Cascade Of Models To Guide Reservoir Operations: Application On The Deadwood River System, Idaho, Usa, Andrew W. Tranmer, Daniele Tonina, Peter Goodwin, Rohan Benjankar, Matthew G. Tiedemann, Paul Woods Aug 2014

A Cascade Of Models To Guide Reservoir Operations: Application On The Deadwood River System, Idaho, Usa, Andrew W. Tranmer, Daniele Tonina, Peter Goodwin, Rohan Benjankar, Matthew G. Tiedemann, Paul Woods

International Conference on Hydroinformatics

Adaptive management strategies are increasingly being used by resource managers to optimize complex water delivery systems at the scale of entire watersheds. A variety of models have been proposed to evaluate systems in a piecemeal approach that often times operate at different spatial and temporal scales and prove difficult to integrate with associated field data. In the Deadwood River system of Central Idaho, a series of cascading models was utilized to examine potential impacts of reservoir operations on endangered resident bull trout. Results from integrating limnologic, temperature, nutrient, hyporheic, and hydraulic models show that reservoir operations must remain dynamic depending …

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Effects Of 2d And 1d Modeling On Mapping Aquatic Habitat Quality, Rohan Benjankar, Daniele Tonina, Jim Mckean Aug 2014

Effects Of 2d And 1d Modeling On Mapping Aquatic Habitat Quality, Rohan Benjankar, Daniele Tonina, Jim Mckean

International Conference on Hydroinformatics

The distribution of aquatic habitat at the organism scale, i.e. 1 by 1m or smaller is typically predicted from local physical characteristics of stream flow, bed, banks and sediment characteristics and a set of biological preference curves. The flow properties are typically predicted with numerical modeling whereas stream bed and bank characteristics defined from interpolated DEM generated by topographical surveys and field observations. Information on the effects of flow properties and streambed morphology due to numerical modeling dimensionality on aquatic habitat modeling is limited. Two-dimensional (2D) modeling is becoming the most popular method to map micro-habitat but its application is …

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Growing Conditions For Algae, Angeles Mora, Tamar Melkonian, Alejandro Calderon-Urrea Aug 2014

Growing Conditions For Algae, Angeles Mora, Tamar Melkonian, Alejandro Calderon-Urrea

STAR Program Research Presentations

With the growing demands of water in California and the increasing cost of fossil fuels to operate water-cleaning equipment, Algae was cultivated in different concentrations of Nitrogen, Phosphorus, and Potassium (NPK) during different trails to identify the best growing conditions for the removal water contaminates. Before testing algae in waste water, the Algae: Dunaliella Primolecta, Chlorella Vulgaris, and Scenedesmus Dimorphus were cultivated in four different media containing distilled water and plant vitamins. The different mediums used include: Orchid Grow More (20-20-20), Miracle Grow (30-10-10), Murashige & Skoog, and Orchid Bloom Boster (11-35-15). As a result of the investigation, the algae, …

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Light Pollution Research Through Citizen Science, John Kanemoto Aug 2014

Light Pollution Research Through Citizen Science, John Kanemoto

STAR Program Research Presentations

Light pollution (LP) can disrupt and/or degrade the health of all living things, as well as, their environments. The goal of my research at the NOAO was to check the accuracy of the citizen science LP reporting systems entitled: Globe at Night (GaN), Dark Sky Meter (DSM), and Loss of the Night (LoN). On the GaN webpage, the darkness of the night sky (DotNS) is reported by selecting a magnitude chart. Each magnitude chart has a different density/number of stars around a specific constellation. The greater number of stars implies a darker night sky. Within the DSM iPhone application, a …

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Rescuing Economics From The Discipline: The Green Learning Community, Michael Daley, Owen Grumbling, Richard B. Peterson Aug 2014

Rescuing Economics From The Discipline: The Green Learning Community, Michael Daley, Owen Grumbling, Richard B. Peterson

Business Faculty Publications

Undergraduate economics is poised for reform because of readily available data and multimedia content. However, we argue that deep reform is needed to teach complex contemporary problems. This requires including institutional and historical content and restructuring the classroom to facilitate interdisciplinary pedagogy. Using Colander’s (2006) analysis of reform as a starting point, we review the economics literature to identify alternative approaches and interdisciplinary pedagogy. The Green Learning Community is introduced as an intentional approach that links economics, humanities and environmental studies and provides first-year students adequate time to study, reflect upon, and internalize economic assumptions, models, values, and interdisciplinary insights.

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Self-Organizing Maps For Knowledge Discovery From Corporate Databases To Develop Risk Based Prioritization For Stagnation, Stephen Robert Mounce, Rebecca Sharpe, Vanessa Speight, Barrie Holden, Joby Boxall Aug 2014

Self-Organizing Maps For Knowledge Discovery From Corporate Databases To Develop Risk Based Prioritization For Stagnation, Stephen Robert Mounce, Rebecca Sharpe, Vanessa Speight, Barrie Holden, Joby Boxall

International Conference on Hydroinformatics

Stagnation or low turnover of water within water distribution systems may result in water quality issues, even for relatively short durations of stagnation / low turnover if other factors such as deteriorated aging pipe infrastructure are present. As leakage management strategies, including the creation of smaller pressure management zones, are implemented increasingly more dead ends are being created within networks and hence potentially there is an increasing risk to water quality due to stagnation / low turnover. This paper presents results of applying data driven tools to the large corporate databases maintained by UK water companies. These databases include multiple …

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Hydrolapse Videography: A Coupled Hydroinformatic Stack For Improved Visual Assessment Of River Dynamics, Joshua Viers, Nicholas Santos Aug 2014

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 …

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On The Importance Of Remote Sensing Data To Validate A Distributed Dynamic Vegetation Model Applied To A Semi-Arid Basin, Félix Francés, Guiomar Ruiz-Pérez, Marta Pasquato, Chiara Medici, María González-Sanchis, Tarcísio J. G. Fernandes, Antonio Molina, Antonio D. Del Campo Aug 2014

On The Importance Of Remote Sensing Data To Validate A Distributed Dynamic Vegetation Model Applied To A Semi-Arid Basin, Félix Francés, Guiomar Ruiz-Pérez, Marta Pasquato, Chiara Medici, María González-Sanchis, Tarcísio J. G. Fernandes, Antonio Molina, Antonio D. Del Campo

International Conference on Hydroinformatics

Efforts to better understand the components of catchments’ water balance have traditionally been one of the objectives of the hydrological community. Very few hydrological models incorporate vegetation development as state variable. This is beginning to change with the recognition by the hydrological community that biological processes play a key role in catchment’s water balance. In addition, some studies confirm that vegetation density controls most of hydrological processes in semi-arid regions. However, the most of the dynamic vegetation models are too complex to be coupled with hydrological models and they incorporate variables and inputs which are difficult to be estimated across …

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A New Alarm Generation Concept For Water Distribution Networks Based On Machine Learning Algorithms, Christian Kühnert, Thomas Bernard, Idel Montalvo Arango, Reik Nitsche Aug 2014

A New Alarm Generation Concept For Water Distribution Networks Based On Machine Learning Algorithms, Christian Kühnert, Thomas Bernard, Idel Montalvo Arango, Reik Nitsche

International Conference on Hydroinformatics

Water Distribution Networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental chemical, biological or radioactive contamination. A monitoring system capable of protecting a WDN against contamination events in real time is a big challenge needed to be accomplished. Powerful online sensor systems are currently developed and the prototypes are able to detect a small change in water quality. Consequently, the main objective of the project SMaRT-OnlineWDN is the development of an online security management toolkit for WDNs that is based on sensor measurements of water quality as well as water quantity. A new approach for the fast …

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Accurate Prediction Of Ecological Quality Ratio With Product Unit Neural Networks, Arie De Niet, Erwin Meijers, Sebastiaan Schep Aug 2014

Accurate Prediction Of Ecological Quality Ratio With Product Unit Neural Networks, Arie De Niet, Erwin Meijers, Sebastiaan Schep

International Conference on Hydroinformatics

This paper shows how to use product unit neural networks (punn's) to derive a data-driven model for the prediction of ecological quality in surface water. In a comparison with other approaches the punns provide by far the best prediction. Moreover they reveal the underlying relations between characteristics and ecological quality. Encouraged by the European Water Framework Directive many measures are taken by Dutch government to improve water quality en ecological quality of surface water. Although it is well known which type of measures are most effective in what cases, it is uncertain what the total effect of a measure is. …

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Assessing Rehabilitation Strategies Of Urban Drainage Systems Based On Future Scenarios Of Urbanization, Arlex Sanchez-Torres, Zoran Vojinović, Roland K. Price Aug 2014

Assessing Rehabilitation Strategies Of Urban Drainage Systems Based On Future Scenarios Of Urbanization, Arlex Sanchez-Torres, Zoran Vojinović, Roland K. Price

International Conference on Hydroinformatics

Population growth and urbanisation are creating a big need to improve the planning processes and management of urban infrastructures. Urban drainage networks are one of the vital services needed for any urban area, modelling its growth and expansion is a challenge because of the dynamics of the system. This work describes the integration of a cellular automata model, to simulate urban land use changes, with algorithms to deduct the future layout of the drainage network and with SWMM 5.0 as the hydraulic engine to assess the performance of the drainage systems in the current condition and in the future. The …

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The Benthic Geoecology Model Within The Modular System For Shelves And Coasts (Mossco), Mohammad Hassan Nasermoaddeli, Carsten Lemmen, Richard Hofmeister, Frank Koesters, Knut Klingbeil Aug 2014

The Benthic Geoecology Model Within The Modular System For Shelves And Coasts (Mossco), Mohammad Hassan Nasermoaddeli, Carsten Lemmen, Richard Hofmeister, Frank Koesters, Knut Klingbeil

International Conference on Hydroinformatics

The Modular System for Shelves and Coasts (MOSSCO) integrates physical, biological, chemical and geological models of shelves and coasts for the North Sea and Baltic Sea in an exchangeable way. The MOSSCO software forms a coupling framework for exchanging data and models, which distinguishes between physical domains (Earth System compartments such as the benthic and pelagic zone) and processes (such as benthic geochemistry, physical erosion and biological stabilization). Information exchange across physical domains with different grids and time steps are managed using the ESMF (Earth System Modelling Framework), whereas coupling of processes within individual modules is achieved using FABM (Framework …

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Stochastic Assessment Of Environmental Flows In Semiarid Environments, Cristina Aguilar, Marta Egüen, Jose María Perales, Miguel A. Losada, María José Polo Aug 2014

Stochastic Assessment Of Environmental Flows In Semiarid Environments, Cristina Aguilar, Marta Egüen, Jose María Perales, Miguel A. Losada, María José Polo

International Conference on Hydroinformatics

The regimen of environmental flows (EF) must be included as terms of environmental demand in the management of water resources. Even though there are numerous methods for the computation of EF, the criteria applied at different steps in the calculation process are quite subjective whereas the results are fixed values that must be meet by water planners. This study presents a friendly-user tool for the assessment of the probability of compliance of a certain EF scenario with the natural regimen in a semiarid area in southern Spain. 250 replications of a 25-yr period of different hydrological variables (rainfall, minimum and …

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The Potential Of Kohonen Method For Classifying Rivers Focused On Regional Environmental Flow Determination With Eloha, Federico Gonzalez Cuellar, Nelson Obregon Neira Aug 2014

The Potential Of Kohonen Method For Classifying Rivers Focused On Regional Environmental Flow Determination With Eloha, Federico Gonzalez Cuellar, Nelson Obregon Neira

International Conference on Hydroinformatics

This article highlights the potential benefits that the Kohonen method has for the classification of rivers with similar characteristics by determining regional ecological flows using the ELOHA (Ecological Limits of Hydrologic Alteration) methodology. Currently, there are many methodologies for the classification of rivers, however none of them include the characteristics found in Kohonen method such as (i) providing the number of groups that actually underlie the information presented, (ii) used to make variable importance analysis, (iii) which in any case can display two-dimensional classification process, and (iv) that regardless of the parameters used in the model the clustering structure remains. …

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Does Hyporheic Intensity Explain Spawning Site Selection?, Rohan Benjankar, Daniele Tonina, Jim Mckean, Daniel J. Isaak Aug 2014

Does Hyporheic Intensity Explain Spawning Site Selection?, Rohan Benjankar, Daniele Tonina, Jim Mckean, Daniel J. Isaak

International Conference on Hydroinformatics

Pool, riffle and runs are streambed features and important habitats for aquatic species. It is well-known that salmonid species utilize these streambed features as spawning site. Pools are characterized by deep water depth, low velocity and gentle water surface slope, whereas riffles are characterized by shallow depth, high velocity and steep slope. Past studies have used hydrodynamic model simulated hydraulic characteristics such as depth, velocity and shear stress to delineate these features. However, the magnitude of these hydraulic characteristics may vary significantly with the discharge and longitudinal slope of the stream. Additionally, these indexes still do not entirely explain the …

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Considering The Effect Of Uncertainty And Variability In The Synthetic Generation Of Influent Wastewater Time Series, Mansour Talebizadehsardari, Evangelia Belia, Peter A. Vanrolleghem Aug 2014

Considering The Effect Of Uncertainty And Variability In The Synthetic Generation Of Influent Wastewater Time Series, Mansour Talebizadehsardari, Evangelia Belia, Peter A. Vanrolleghem

International Conference on Hydroinformatics

The availability of influent wastewater time series is crucial for assessing the performance of a wastewater treatment plant (WWTP) under dynamic flow and loading conditions. Given the difficulty of collecting sufficient data, synthetic generation may be the only option. Usually, the main constituents of the influent time series (e.g. flow, COD, TSS, TKN) show periodic, auto-correlation, and cross-correlation structures in time. Therefore researchers have used statistical models (e.g. auto-regressive time series models) for random generation of the influent time series. However, these regular patterns in time could be significantly distorted during rain events (wet weather flow (WWF) conditions) in which …

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Response Of River Hydrological And Habitat Features To Water Supplement By Upstream Dam In Lijiang River, China, Ruonan Li, Qiuwen Chen, Duan Chen, Rui Han Aug 2014

Response Of River Hydrological And Habitat Features To Water Supplement By Upstream Dam In Lijiang River, China, Ruonan Li, Qiuwen Chen, Duan Chen, Rui Han

International Conference on Hydroinformatics

River development has impact on river hydrology instantly, and then produces far-reaching influence on river ecology gradually. Research on hydrological and ecological response to river environmental variation has caught much attention for river sustainable exploitation. This research, takingLijiangRiveras a case, developed a river habitat model integrated with water environmental model, which used to analyze the relations of hydrological and habitat features to flow regime variation due to upstream reservoir operation. This paper analyzed the hydraulic and water quality variation under two different flow schemes, and assessed habitat evolution before and after implementation of water supplement project. Finally, the optimum objective …

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Extending Occoquan Reservoir Water Quality Model For Stakeholder Involvement, Saurav Kumar, Adil Godrej, Thomas Grizzard Aug 2014

Extending Occoquan Reservoir Water Quality Model For Stakeholder Involvement, Saurav Kumar, Adil Godrej, Thomas Grizzard

International Conference on Hydroinformatics

There has been a paradigm change in water resource management as control of major point sources has improved, and recognition has grown of the importance of diffused pollution. Newer approaches, exemplified by watershed-scale management, emphasize stakeholder involvement to achieve better decision making through negotiation and compromise; and ultimately, better acceptance of final management solutions. Stakeholder participatory involvement in using complex water quality models to understand management scenarios and their impacts is, however, limited. Advanced receiving waterbody and watershed WQ models are complicated and require significant technical expertise in their understanding and use, which is a deterrent to non-expert stakeholder involvement. …

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Predicting Iron And Manganese Accumulation Potential In Water Distribution Networks Using Artificial Neural Network, Prasad Devi Tumula, Ebenezer Danso-Amoako Aug 2014

Predicting Iron And Manganese Accumulation Potential In Water Distribution Networks Using Artificial Neural Network, Prasad Devi Tumula, Ebenezer Danso-Amoako

International Conference on Hydroinformatics

In April 2010 the Water Services Regulation Authority in England and Wales, OFWAT, introduced the Service Incentive Mechanism (SIM) which rates water companies on their performance based on customer satisfaction and either reward or penalise them. In view of this, it has become extremely important for water companies to lower customer complaints due to drinking water discolouration; which is approximately 34% of all customer complaints. Presently, most water companies identify high discolouration risk regions in water distribution networks (WDNs) by selecting areas in the network with high Iron (Fe) and Manganese (Mn) concentrations from their random sampling. With about 315,000 …

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