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Full-Text Articles in Physical Sciences and Mathematics

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 Aug 2014

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, Francisco Javier Fernandez, Elias Manrique Aug 2014

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 …


Modularity Index For The Segmentation Of Water Distribution Networks, Orazio Giustolisi, Luca Ridolfi Aug 2014

Modularity Index For The Segmentation Of Water Distribution Networks, Orazio Giustolisi, Luca Ridolfi

International Conference on Hydroinformatics

The search for suitable segmentations is a challenging issue for analysis, planning and management of water distribution networks (WDNs). In fact complex and large size hydraulic systems require the division into modules in order to simplify the analysis and the management tasks. In complex network theory, modularity index was proposed as a measure of the strength of the network division into communities. Nevertheless, modularity index needs to be revised considering the specificity of the hydraulic systems. Accordingly, the classic modularity index is firstly presented and, then, tailored and modified for WDNs. Furthermore, a multi-objective strategy for optimal segmentation is presented. …


Comparison Of 2d Numerical Schemes For Modelling Supercritical And Transcritical Flows Along Urban Floodplains, Yared Abayneh Abebe, Solomon D. Seyoum, Zoran Vojinović, Roland K. Price Aug 2014

Comparison Of 2d Numerical Schemes For Modelling Supercritical And Transcritical Flows Along Urban Floodplains, Yared Abayneh Abebe, Solomon D. Seyoum, Zoran Vojinović, Roland K. Price

International Conference on Hydroinformatics

Urban floodplains usually have irregular geometry due to different obstacles, urban infrastructures and slope conditions. This may change the flow regime from subcritical to supercritical flow conditions, and vice versa. Implementation of the full momentum equation in 2D shallow water equations (SWEs) is not trivial in mixed flow conditions as subcritical and supercritical flows require different boundary conditions and hence different solution algorithms. Some models ignore the convective acceleration term (CAT) to simplify implementation of the momentum equation for mixed flow conditions. This work tried to investigate the effect of neglecting CATs by testing two 2D models which implement - …


Next Generation Hydro Software, Gennadii Donchyts, Fedor Baart, Arthur Van Dam, Erik De Goede, Joost Icke, Hans Van Putten Aug 2014

Next Generation Hydro Software, Gennadii Donchyts, Fedor Baart, Arthur Van Dam, Erik De Goede, Joost Icke, Hans Van Putten

International Conference on Hydroinformatics

A few years ago Deltares started a large multidisciplinary project named Next Generation Hydro Software. The main focus of the project is to improve, harmonize and integrate existing hydro software that has been developed throughout the years. Important technological innovations include development of the new computational core D-Flow Flexible Mesh, as well as the user-friendly, open modelling environment Delta Shell. The project involves more than 40 scientists and software engineers. The new integrated system will allow both water managers and modellers to do their work better and faster. The unique characteristic of the project is that it focuses on the …


Evaluating Climate Change Scenarios For Regional Hydrological Management In Mountainous Semi-Arid Environments, Agustín Millares, Javier Herrero, Cristina Aguilar, María José Polo Aug 2014

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 …


Probabilistic Integrated Urban Inundation Modeling Using Sequential Data Assimilation, Seong Jin Noh, Seungsoo Lee, Hyunjun Kim Aug 2014

Probabilistic Integrated Urban Inundation Modeling Using Sequential Data Assimilation, Seong Jin Noh, Seungsoo Lee, Hyunjun Kim

International Conference on Hydroinformatics

Urban inundation due to climate change and heavy rainfall is one of the most common natural disasters worldwide. However, it is still insufficient to obtain accurate urban inundation predictions due to various uncertainties coming from input forcing data, model parameters, and observations. Despite of numerous sophisticated data assimilation algorithms proposed to increase the certainty of predictions, there have been few attempts to combine data assimilation with integrated inundation models due to expensive computations and computational instability such as breach of conservation and momentum equations in the updating procedure. In this study, we propose a probabilistic integrated urban inundation modeling scheme …


Levels Of Data Interoperability In The Emerging North American Groundwater Data Network, Boyan Brodaric, Nate Booth, Eric Boisvert, Jessica Lucido Aug 2014

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.


Toward A Foundational Hydro Ontology For Water Data Interoperability, Boyan Brodaric, Torsten Hahmann Aug 2014

Toward A Foundational Hydro Ontology For Water Data Interoperability, Boyan Brodaric, Torsten Hahmann

International Conference on Hydroinformatics

Hydro ontologies are digital artifacts that contain representations of hydrological entities. They are being constructed to advance interoperability within and between various water data networks. Increased growth of such networks, however, is prompting integration of a greater variety of data, which requires a more general and principled approach to hydro ontology. One such approach is the development of a canonical reference ontology. This paper describes recent progress on the development of such an ontology for both the surface and subsurface hydro domains. Identified is a container schema that anchors the ontology, and also described is an initial representation of the …


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 Aug 2014

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 …


Forecasting Techniques Applied To Water Quality Time Series In View Of Data Quality Assessment, Janelcy Alferes, John Copp, Peter A. Vanrolleghem Aug 2014

Forecasting Techniques Applied To Water Quality Time Series In View Of Data Quality Assessment, Janelcy Alferes, John Copp, Peter A. Vanrolleghem

International Conference on Hydroinformatics

The main advantage of continuous water quality measurement systems is the ability to capture dynamics in water and wastewater systems, which allows for the identification of critical events, the evaluation of impacts on receiving water bodies, the identification of cause and effect relationships and the ability to discern trends. However, the challenge associated with automatic monitoring systems is the collection of data with sufficient quality for the intended application. That is, useful monitoring is dependent on cautious data quality assessment. With particular attention to its practical implementation, this paper presents a method for data quality assessment that attempts to extract …


Comparison Of Ensemble Kalman Filtering And Particle Filtering On Short-Term Streamflow Forecasting Using A Distributed Hydrologic Model, Seong Jin Noh Aug 2014

Comparison Of Ensemble Kalman Filtering And Particle Filtering On Short-Term Streamflow Forecasting Using A Distributed Hydrologic Model, Seong Jin Noh

International Conference on Hydroinformatics

Floods are the most common and widespread disasters in the world and are responsible for a greater number of damaging events than any other type of natural event. However, due to various uncertainties that originate from simulation models, observations, and forcing data, it is still insufficient to obtain accurate flood forecasting results with the required lead times. Recently, ensemble forecasting techniques based on data assimilation (DA) have become increasingly popular, due to their potential ability to explicitly handle the various sources of uncertainty in operational hydrological models. Difficulty lies in DA for flood forecasting because nonlinearity increases sharply during flood …


Decision Support For Flood Control Operation Of A Multi-Purpose Reservoir Considering Operational One-Week Ensemble Forecast Of Precipitation, Yuya Nishioka, Daisuke Nohara, Tomoharu Hori, Yoshinobu Sato Aug 2014

Decision Support For Flood Control Operation Of A Multi-Purpose Reservoir Considering Operational One-Week Ensemble Forecast Of Precipitation, Yuya Nishioka, Daisuke Nohara, Tomoharu Hori, Yoshinobu Sato

International Conference on Hydroinformatics

atoMulti-purpose reservoirs, which are operated for both of flood control and water use purposes, play an important role in water resources management. Consideration of operational hydrological predictions can potentially provide an improvement in operations of a multi-purpose reservoir by allowing adaptive operation according to the predicted future condition of the reservoir and the target river basin. In this paper, a decision support tool for flood control operation of a multi-purpose reservoir considering middle-range operational ensemble prediction is proposed. One-week Ensemble Forecast of precipitation, which is provided by Japan Meteorological Agency with 51 ensemble members for the coming eight days, is …


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 Aug 2014

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, Ismail Haltaş, Ibrahim Demir Aug 2014

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 …


Detecting Pipe Bursts In Water Distribution Networks Using Epr Modeling Paradigm, Luigi Berardi, Daniele Laucelli, Orazio Giustolisi, Dragan A. Savić Aug 2014

Detecting Pipe Bursts In Water Distribution Networks Using Epr Modeling Paradigm, Luigi Berardi, Daniele Laucelli, Orazio Giustolisi, Dragan A. Savić

International Conference on Hydroinformatics

Sustainable management of water distribution networks requires the timely detection of water leakages from pipelines. This will reduce wastage of resource, decrease cost of treatment and pumping, cut third party damage and reduce green house gas emissions. Some recently developed methodologies permit real time detection of pipe burst events by analyzing signals from pressure and flow meters located in District Metered Areas. These procedures are conceptually based on: (i) data preparation (e.g. de-noising; reconstruction); (ii) predictions based on data-driven models; (iii) identification of anomalies in flow/pressure and raising alerts based on a mismatch between model predictions and signals from meters. …


Priming The Pump: Exploring The Impact Of Smart Water Pumps On Communities In South Africa And Malawi, Where Water Access Is Problematic., Nathan John Cooper Aug 2014

Priming The Pump: Exploring The Impact Of Smart Water Pumps On Communities In South Africa And Malawi, Where Water Access Is Problematic., Nathan John Cooper

International Conference on Hydroinformatics

A significant factor contributing to insufficient and unpredictable access to water in Africa is the high percentage of broken water pumps. Previous studies have reported that between 20% and 50% of all hand-operated pumps installed in Africa are out of use. Monitoring and maintenance of pumps is often ineffective, due in part to the high costs of routine site visits, and the limited resources of NGOs and developing states. The emergence of new telemetry technology that can remotely monitor water pumps constitutes a novel, cost-efficient alternative to undertaking pre-emptory site visits. In particular, ‘SALT technology’ (sustainable, alternative, low-cost telemetry) has …


A High Precision Test Method And The Related Equipment For Smart Water Meters, Youn-Sik Hong, Chul-Ho Lee Aug 2014

A High Precision Test Method And The Related Equipment For Smart Water Meters, Youn-Sik Hong, Chul-Ho Lee

International Conference on Hydroinformatics

We are now developing a smart water meter dedicated to smart water grid systems. The primary goal of our reseach is to make the smart water meters with higher precision compared with typical water meters. For instance, the range of the allowable measurement errors for the flow rate in the lower zone of the second level precision water meter is set to +-5% by the Korea Standard. However, with ours the range is decreased to +- 3% for the same condition. Therefore it is necessary to build a high precision test method and the related equipment for evaluating the performance …


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 Aug 2014

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 …


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 …


Improving Exploration And Exploitation Capability Of Harmony Search Algorithm, Joong Hoon Kim, Do Guen Yoo, Ho Min Lee, Sung Soo Im Aug 2014

Improving Exploration And Exploitation Capability Of Harmony Search Algorithm, Joong Hoon Kim, Do Guen Yoo, Ho Min Lee, Sung Soo Im

International Conference on Hydroinformatics

Harmony Search (HS) is a meta-heuristic algorithm which was first introduced in 2001 and it became a widely used optimization algorithm in various areas in engineering application as well as in water resources planning and management. However, as most meta-heuristic algorithms are, the HS shows a good performance in global search but not as good in local search. This study aims the improvement of both exploration and exploitation capability of the algorithm. The mission has been carried out by changing algorithm operators or parameters in the search process. Several types of Improved Harmony Search (IHS) have been successfully developed resulting …


Application Of Water Cycle Algorithm For Optimal Cost Design Of Water Distribution Systems, Ali Sadollah, Do Guen Yoo, Jafar Yazdi, Joong Hoon Kim, Younghwan Choi Aug 2014

Application Of Water Cycle Algorithm For Optimal Cost Design Of Water Distribution Systems, Ali Sadollah, Do Guen Yoo, Jafar Yazdi, Joong Hoon Kim, Younghwan Choi

International Conference on Hydroinformatics

Water distribution system (WDS) design is considered as a class of large combinatorial non-linear optimization problems having complex implicit constraints such as conservation of mass and energy equations. Due to the complexity and large feasible solution, traditional optimization techniques are not capable to tackle these kinds of problems. Recently, applications of metaheuristic algorithms, due to their efficiencies and performances, are increased dramatically. In this paper, water cycle algorithm (WCA), a recently developed population-based algorithm, coupled with hydraulic simulator, EPANET, are applied for finding the optimal cost design of WDS. The performance of the WCA is shown using well-known Balerma benchmark …


Development Of A Model-Based Decision Support System For Water Treatment In Smart Micro Water Grid, Hyeongrak Cho, Jungwoo Jung, Sangho Lee, Soo Kwen Chae Aug 2014

Development Of A Model-Based Decision Support System For Water Treatment In Smart Micro Water Grid, Hyeongrak Cho, Jungwoo Jung, Sangho Lee, Soo Kwen Chae

International Conference on Hydroinformatics

Micro water grid (MWG) is an emerging concept for decentralized water management system for residential, industrial, commercial, and institutional buildings. MWG achieves specific local goals, such as reliability, diversification of water sources, and cost reduction. Unlike micro electricity grid, MWG has not been well-established, leading to a problem of initial design and operation. Thus, a MWG system requires a “smart” infrastructure that allows autonomous control and regulation. In this study, a decision support system (DSS) was designed to select optimum combinations of water treatment unit processes in MWG. To begin, key questions on water treatment in MWG systems were identified. …


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 …


An Evolutionary Polynomial Regression (Epr) Model For Prediction Of H2s Induced Corrosion In Concrete Sewer Pipes, Anna Romanova, Asaad Faramarzi, Mojtaba Mahmoodian, M. Amir Alani Aug 2014

An Evolutionary Polynomial Regression (Epr) Model For Prediction Of H2s Induced Corrosion In Concrete Sewer Pipes, Anna Romanova, Asaad Faramarzi, Mojtaba Mahmoodian, M. Amir Alani

International Conference on Hydroinformatics

The sulphuric acid is a known growing threat to concrete sewer pipes. Acid production is dictated by rapid urbanisation, increased use of hot water and discharge of toxic metals and sulphate containing detergents into the wastewater. Concrete sewer pipe corrosion due to sulphuric attack is known to be the main contributory factor of pipe degradation. Very little tools are available to accurately predict the corrosion rate and most importantly the remaining safe life of the asset. This paper proposes a new robust model to predict the sewer pipe corrosion rate due to sulphuric acid. The model makes use of a …


Multifactorial Linear Regression Method For Prediction Of Mountain Rivers Flow, Arestak Sarukhanyan, Levon Vardanyan, Levon Azizyan, Yelizaveta Yeroyan Aug 2014

Multifactorial Linear Regression Method For Prediction Of Mountain Rivers Flow, Arestak Sarukhanyan, Levon Vardanyan, Levon Azizyan, Yelizaveta Yeroyan

International Conference on Hydroinformatics

Long-term river flow forecasting methoods are used for the theoretical basis for the development of river basin water balance equation : the basins with high marks nascent river basin water balance should be organized according to higher zones . Spring flood water balance equation is used for the calculation of the measure or impossibillness to get through , so they are replaced by the flow and the approximate korelyatsion connections between the key factors , including the multifactorial flow prediction recommend using multifactorial linear regression method , which is believed to be the predicted size ( prediktant ) and the …


Context-Aware Self-Organized Resource Allocation In Intelligent Water Informatics, Kyung Sup Kwak, Qinghai Yang Aug 2014

Context-Aware Self-Organized Resource Allocation In Intelligent Water Informatics, Kyung Sup Kwak, Qinghai Yang

International Conference on Hydroinformatics

An increasing attention of intelligent water informatics has been registered in the recent years, specifically for monitoring water distribution systems. With a combination of smart sensor network technologies and water resource management systems, the intelligent water management system will be provided more easily to acquire the context information of water distribution systems, which aids to supply on a real-time monitoring/response/distribution framework through exchanging resource information in real time. In addition, endowing smart water grids with self-organizing capabilities is instrumental in helping operators cope with smart operations and maintenance. In this paper, we investigate the water resource allocation for heterogeneous smart …


In-Situ Algae Control Using Water-Lifting Aerators In A Eutrophicated Source Water Reservoir, Xin Sun, Xue Wang, Tinglin Huang, Haibing Cong Aug 2014

In-Situ Algae Control Using Water-Lifting Aerators In A Eutrophicated Source Water Reservoir, Xin Sun, Xue Wang, Tinglin Huang, Haibing Cong

International Conference on Hydroinformatics

Algal pollution is a common water quality problem in many source water reservoirs worldwide and directly threatens the safety of drinking water. Water-lifting aeration has been recently developed to improve the source water quality and to control the excessive algae growth by transporting algae from the surface water to the bottom water of the reservoir. Taking the Shibianyu Reservoir supplying 20% source water to Xi’an, China, as a study case, the effect of in-situ algae control using water-lifting aerators was numerically investigated with Fluent. Two submerged water-lifting aerators with different circulation flow rates were installed with different local water depths …


Propagation Characteristics Of Density Currents And Implications To Pollutant Transport In A Stratified Reservoir, Xin Sun, Yan Xu, Tinglin Huang, Xiao Tang Aug 2014

Propagation Characteristics Of Density Currents And Implications To Pollutant Transport In A Stratified Reservoir, Xin Sun, Yan Xu, Tinglin Huang, Xiao Tang

International Conference on Hydroinformatics

With global warming, the frequency and intensity of extreme rainfall events were predicted to change more dramatically in the near future while the amount of total precipitation will change slightly. Large volume of turbid inflow will enter the source water reservoir after a heavy rainfall, and evolve in various types of density currents depending on the density difference between the inflow and background water. Density currents play an important role in the thermal structure and pollutant transport in the reservoir. Understanding the behaviors of density current is fundamental to study the changes of source water quality during the flooding season. …


Decision Support Systems And Promoting Socially Just Environmental Management, Te Kipa Kepa Brian Morgan, Tumanako Ngawhika F`Aui Aug 2014

Decision Support Systems And Promoting Socially Just Environmental Management, Te Kipa Kepa Brian Morgan, Tumanako Ngawhika F`Aui

International Conference on Hydroinformatics

The Mauri Model DMF is unique in its approach to the management of water resources as the framework offers a transparent and inclusive approach to considering the environmental, economic, social and cultural aspects of the decisions being contemplated. The Mauri Model DMF is unique because it is capable of including multiple-worldviews and adopts mauri (intrinsic value or well-being) in the place of the more common monetised assessments of pseudo sustainability using Cost Benefit Analysis. The Mauri Model DMF uses a two stage process that first identifies participants’ worldviews and inherent bias regarding water resource management, and then facilitates transparent assessment …