Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 30 of 37
Full-Text Articles in Physical Sciences and Mathematics
Optimizing Bio-Retention Locations For Stormwater Management Using Genetic Algorithm, Dieu Huong Trinh, Ting Fong May Chui
Optimizing Bio-Retention Locations For Stormwater Management Using Genetic Algorithm, Dieu Huong Trinh, Ting Fong May Chui
International Conference on Hydroinformatics
To minimize the change of hydrological regime due to urbanization, stormwater best management practices have been enforced in the past few decades in certain urban areas. One approach is to implement small-scale hydrologic controls, such as bio-retention systems, throughout a catchment. Optimization techniques have also been applied to determine the locations that give the most hydrological benefits. However, optimization tools are commonly built in together with specific hydrological models. Thus, the choices and components of hydrological models are usually restricted. Furthermore, it is redundant to build another hydrological model that has a built-in optimization tool if a hydrological model, and …
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 …
Leakage Detection And Localization Method Based On A Hybrid Inverse/Direct Modelling Approach Suitable For Handling Multiple-Leak Scenarios, Jordi Meseguer, Josep M. Mirats, Gabriela Cembrano, Vicenç Puig, Eduard Bonada
Leakage Detection And Localization Method Based On A Hybrid Inverse/Direct Modelling Approach Suitable For Handling Multiple-Leak Scenarios, Jordi Meseguer, Josep M. Mirats, Gabriela Cembrano, Vicenç Puig, Eduard Bonada
International Conference on Hydroinformatics
When an accurate hydraulic network model is available, direct modeling techniques are very straightforward and reliable for on-line leakage detection and localization applied to large class of water distribution networks. In general, this type of techniques based on analytical models can be seen as an application of the well-known fault detection and isolation theory for complex industrial systems. Nonetheless, the assumption of single leak scenarios is usually made considering a certain leak size pattern which may not hold in real applications. Upgrading a leak detection and localization method based on a direct modeling approach to handle multiple-leak scenarios can be, …
Parameter Calibration Method Based On Ga Technique For Multi-Event, Yeonjoo Kim, Eun-Sung Chung, Kwangjai Won, Byungho Kong, Kyungil Gil
Parameter Calibration Method Based On Ga Technique For Multi-Event, Yeonjoo Kim, Eun-Sung Chung, Kwangjai Won, Byungho Kong, Kyungil Gil
International Conference on Hydroinformatics
Accurate parameter estimation based catchment modeling systems requires considerable work to establish credibility. In this paper, a methodology for parameter estimation of hydrologic simulation model is proposed to simultaneously include several rainfall events using Shannon entropy. The proposed methodology uses Genetic Algorithm(GA) optimization techniques for the Storm Water Management Model (SWMM). Shannon entropy theory was applied to calculate weights according to each rainfall event in study area. A case study application was undertaken using the Milyang-dam basin, in Korea. Three events are applied to calculate Shannon entropy weights. Then, Nash-Sutcliffe Efficiency(NSE) & Root Mean Square Error(RMSE) are compared with those …
Leakage Localization In Virtual District Metered Areas With Differential Evolution, David Steffelbauer, Markus Günther, Markus Neumayer, Daniela Fuchs-Hanusch
Leakage Localization In Virtual District Metered Areas With Differential Evolution, David Steffelbauer, Markus Günther, Markus Neumayer, Daniela Fuchs-Hanusch
International Conference on Hydroinformatics
Leakages in water distribution systems (WDS) can lead to supply interruptions, contaminations and economic losses. Hence finding leaks before they cause severe problems is a crucial task for water utilities. To identify the existence of leaks, night flow measurements in district-metered areas (DMA) are common practice. Therefore, the entire system has to be subdivided in hydraulically separated partial networks. However, many utilities do not want to lose the hydraulic redundancy of their system and hence search for other solutions to identify and allocate leaks. In our research, the effects of leakages on the hydraulic behaviour of WDS are utilized to …
Inverse Modeling Of Groundwater System Using Coupled Pso-Mlpg Techniques, Swathi Boddula, Eldho T I
Inverse Modeling Of Groundwater System Using Coupled Pso-Mlpg Techniques, Swathi Boddula, Eldho T I
International Conference on Hydroinformatics
The effective management of groundwater systems relies on the adequate knowledge of its hydro-geological parameters. In large aquifer systems, it is often computationally expensive to estimate the spatially distributed aquifer parameters. Inverse modeling of these parameters are usually required in simulation of flow and contaminant transport in the problem domain for its meaningful system prediction. In the present study, a new approach for inverse modeling is adopted based on Meshless Local Petrov Galerkin (MLPG) flow simulation model which is coupled with Particle Swarm Optimization (PSO) model. MLPG is one of the meshless techniques, which are recently developed to solve many …
A Novel Nested Dynamic Programming (Ndp) Algorithm For Multipurpose Reservoir Optimization, Blagoj Delipetrev, Andreja Jonoski, Dimitri P. Solomatine
A Novel Nested Dynamic Programming (Ndp) Algorithm For Multipurpose Reservoir Optimization, Blagoj Delipetrev, Andreja Jonoski, Dimitri P. Solomatine
International Conference on Hydroinformatics
We present a novel nDP (nested dynamic programming) algorithm for multipurpose reservoir optimization. The nDP algorithm is built from two algorithms: 1) dynamic programming (DP) and 2) nested optimal water allocation algorithm implemented with Simplex and quadratic Knapsack. The main objective function is to minimize the sum of weighted square deviations of each objective over the whole time horizon. Each objective is described with its water demand or target and its weights at each time step. The nDP algorithm begins with the DP optimization algorithm that at each DP transition executes the nested optimal water allocation algorithm. The optimal water …
Optimal Rehabilitation Strategy In Water Distribution Systems Considering Reduction In Greenhouse Gas Emissions, Farshid Rahmani, Abdollah Ardeshir, Kourosh Behzadian, Fatemeh Jalilsani
Optimal Rehabilitation Strategy In Water Distribution Systems Considering Reduction In Greenhouse Gas Emissions, Farshid Rahmani, Abdollah Ardeshir, Kourosh Behzadian, Fatemeh Jalilsani
International Conference on Hydroinformatics
Most of water distribution systems (WDS) need rehabilitation due to aging infrastructure leading to decreasing capacity, increasing leakage and consequently low performance of the WDS. However an appropriate strategy including location and time of pipeline rehabilitation in a WDS with respect to a limited budget is the main challenge which has been addressed frequently by researchers and practitioners. On the other hand, selection of appropriate rehabilitation technique and material types is another main issue which has yet to address properly. The latter can affect the environmental impacts of a rehabilitation strategy meeting the challenges of global warming mitigation and consequent …
Integration Of Multi-Objective Genetic Algorithm And Support Vector Machine For Hourly Typhoon Rainfall Forecasting, Bing-Chen Jhong, Gwo-Fong Lin
Integration Of Multi-Objective Genetic Algorithm And Support Vector Machine For Hourly Typhoon Rainfall Forecasting, Bing-Chen Jhong, Gwo-Fong Lin
International Conference on Hydroinformatics
During typhoon periods, accurate hourly rainfall forecasts are extremely important. A new typhoon rainfall forecasting model that integrates multi-objective genetic algorithm (MOGA) with support vector machines (SVM) is presented in this paper. Apart from the rainfall data, the meteorological variables are also considered. An application to high- and low-altitude meteorological stations has shown that the proposed model yields the best performance as compared to other models. Results indicate that meteorological variables are helpful. The proposed model significantly improves hourly typhoon rainfall forecasting, especially for the long lead time forecasting. Moreover, the optimal combination of inputs is determined by the proposed …
Practical-Oriented Pressure Sensor Placement For Model-Based Leakage Location In Water Distribution Networks, Eduard Bonada, Jordi Meseguer, Josep M. Mirats
Practical-Oriented Pressure Sensor Placement For Model-Based Leakage Location In Water Distribution Networks, Eduard Bonada, Jordi Meseguer, Josep M. Mirats
International Conference on Hydroinformatics
In order to bring remarkable benefits to operation and management of water networks, the analysis of sensed data can be used to locate water leaks using of a model-based methodology. However, the number of sensors installed is usually limited because of budget constraints and hence a strategy for optimizing their number and placement is required. This optimization is tightly coupled to the performance of the real-time model-based leakage diagnosis operation and hence the former should consider the requirements of the latter: (1) high distinguishability among all potential leaks to be detected; and (2) strong robustness in front of model-reality mismatches …
Optimizing Operating Rules Of Multiple Source Water Supply Systems In Terms Of System Reliability And Resulting Operating Costs: Survey Of Simulation-Optimization Modeling Approaches Based On General Purpose Tools, Jordi Meseguer, Gabriela Cembrano, Josep M. Mirats, Eduard Bonada
Optimizing Operating Rules Of Multiple Source Water Supply Systems In Terms Of System Reliability And Resulting Operating Costs: Survey Of Simulation-Optimization Modeling Approaches Based On General Purpose Tools, Jordi Meseguer, Gabriela Cembrano, Josep M. Mirats, Eduard Bonada
International Conference on Hydroinformatics
Management of a water supply system from the point of view of the conjunctive use of water sources is a very complex problem whose solution is not just obtained using analytical models but also through a negotiation process among stakeholders and in which Public Bodies have a main role. For these reasons, this problem has been addressed using conservative approaches based on simulation models or simulation – linear optimization models parameterized using few parameters. These approaches have certain strengths but also certain drawbacks or constraints. In general these conservative approaches are already covered by existing generalized modelling tools (i.e. Aquator, …
Calibration Strategies Designed For Long Term Sediment Transport Modelling, Robert Klar, Stefan Achleitner, Stefan Jocham, Markus Aufleger
Calibration Strategies Designed For Long Term Sediment Transport Modelling, Robert Klar, Stefan Achleitner, Stefan Jocham, Markus Aufleger
International Conference on Hydroinformatics
The presented work deals with the calibration of a 2D numerical model for the simulation of long term bed load transport. A settled basin along an alpine stream was used as a case study. The focus is to parameterise the used multi fractional transport model such that a dynamically balanced behavior regarding erosion and deposition is reached. The used 2D hydrodynamic model utilizes a multi-fraction multi-layer approach to simulate morphological changes and bed load transport. The mass balancing is performed between three layers: a top mixing layer, an intermediate subsurface layer and a bottom layer. Using this approach bears computational …
On The Structure Of The Objective Function For A Pressure Sensor Placement Optimizing Methodology Based On Genetic Algorithms Applied To Model-Based Leakage Localization In Distribution Water Networks, Eduard Bonada, Jordi Meseguer, Josep M. Mirats-Tur
On The Structure Of The Objective Function For A Pressure Sensor Placement Optimizing Methodology Based On Genetic Algorithms Applied To Model-Based Leakage Localization In Distribution Water Networks, Eduard Bonada, Jordi Meseguer, Josep M. Mirats-Tur
International Conference on Hydroinformatics
Real-time monitoring of distribution water networks relies on the deployment of sensors and the availability of their measurements in order to predict the system state and assess its performance. A meaningful application of this methodology is the detection and localization of leaks using model-based approaches. Since the number of sensors is limited because of budget constraints, it is important to place these devices in locations where the effectiveness of the leakage diagnosis is maximized. Finding the best sensor distribution is a global optimization problem defined by an objective function that might depend on different factors. Therefore, deriving the correct structure …
Bayesian Parameter Estimation Of Modified Bartlett-Lewis Rectangular Pulse (Mblrp) Poisson Cluster Model, Hyun-Han Kwon, Jang-Kyung Kim
Bayesian Parameter Estimation Of Modified Bartlett-Lewis Rectangular Pulse (Mblrp) Poisson Cluster Model, Hyun-Han Kwon, Jang-Kyung Kim
International Conference on Hydroinformatics
Stochastic rainfall generators or stochastic simulation have been widely employed to generate synthetic rainfall sequences which can be used in hydrologic models as inputs. The calibration of Poisson cluster stochastic rainfall generator (e.g. Modified Bartlett-Lewis Rectangular Pulse, MBLRP) is seriously affected by local minima that is usually estimated from the local optimization algorithm. In this regard, global optimization techniques such as particle swarm optimization and shuffled complex evolution algorithm have been proposed to better estimate the parameters. Although the global search algorithm is designed to avoid the local minima, reliable parameter estimation of MBLRP model is not always feasible especially …
Evaluating North Sea Water Level Monitoring Network Considering Uncertain Information Theory Quantities, Leonardo Alfonso, Elena Ridolfi, Sandra Gaytan, Francesco Napolitano, Fabio Russo
Evaluating North Sea Water Level Monitoring Network Considering Uncertain Information Theory Quantities, Leonardo Alfonso, Elena Ridolfi, Sandra Gaytan, Francesco Napolitano, Fabio Russo
International Conference on Hydroinformatics
Information-theory provides, among others, conceptual methods to quantify the amount of information contained in a random variable, as well as methods to quantify the amount of information contained and shared among two or more variables. Although these concepts have been successfully applied in Hydrology and other fields, the valuation of these quantities is sensible to different parameters used to estimate the probabilities that underline the entropy concept. Typical examples are the bin size of histograms used to compute probabilities and the Kendall correlation coefficient used to estimate copula entropy. The selection of these parameters has subsequent effects on other Information …
Optimal Tank Design And Operation Strategy To Enhance Water Quality In Distribution Systems, Alemtsehay G. Seyoum, Tiku T. Tanyimboh, Calvin Siew
Optimal Tank Design And Operation Strategy To Enhance Water Quality In Distribution Systems, Alemtsehay G. Seyoum, Tiku T. Tanyimboh, Calvin Siew
International Conference on Hydroinformatics
Water storage tanks are key components of water distribution networks (WDNs) and are primarily designed and operated to meet demand variations and pressure needs. However, the common practice in the design of WDNs is to incorporate large storage tanks that may possibly create long residence time. Long residence time is a major contributing factor for loss of disinfectant, increased formation of disinfection by products and microbial regrowth. Also, poor choice in tank geometry, location and operation can play a role in deterioration of water quality. Most of the previous approaches on optimisation of WDNs design and operation do not take …
Assessment Of Blackbox Optimization Methods For Efficient Calibration Of Computationally Intensive Hydrological Models, Pierre-Luc Huot, Annie Poulin, Stéphane Alarie
Assessment Of Blackbox Optimization Methods For Efficient Calibration Of Computationally Intensive Hydrological Models, Pierre-Luc Huot, Annie Poulin, Stéphane Alarie
International Conference on Hydroinformatics
Many studies have shown the effectiveness of blackbox optimization algorithms for the calibration of lumped conceptual hydrological models. Among these algorithms, the « Shuffled Complex Evolution method developed at the University of Arizona » (SCE-UA) is a very popular one. However, when it comes to calibrating distributed and/or physically-based models, computational efficiency becomes an issue. A single simulation with this type of model may take several minutes and the optimization process may require more than thousands of simulations. To alleviate this problem, two recently developed optimization methods, « Dynamically Dimensioned Search » (DDS) and « Nonsmooth Optimization by Mesh Adaptive …
An Optimization Model For Prioritizing Sewerage Maintenance Scheduling, Juan David Torres Turriago, Juan Pablo Rodriguez, Juan David Palacio
An Optimization Model For Prioritizing Sewerage Maintenance Scheduling, Juan David Torres Turriago, Juan Pablo Rodriguez, Juan David Palacio
International Conference on Hydroinformatics
Water utility companies, responsible for providing water supply and sewerage services to the urban population, are constantly seeking to improve their service.In the case of sewer systems, effective scheduling of preventive maintenance of urban water infrastructure has been identified as an important activity in order to reduce costs and protect the integrity of citizens and the surrounding, both built and natural, environments. Consequently, with particular focus on Bogotá (Colombia), we developed an optimization model that generates a preventive maintenance plan on a set of zones withinthe city. These zones have in common a high failure probability over a defined time …
An Artificial Neural Network-Based Rainfall Runoff Model For Improved Drainage Network Modelling, David Walker, Edward C. Keedwell, Dragan A. Savić, Richard Kellagher
An Artificial Neural Network-Based Rainfall Runoff Model For Improved Drainage Network Modelling, David Walker, Edward C. Keedwell, Dragan A. Savić, Richard Kellagher
International Conference on Hydroinformatics
Modelling rainfall-runoff processes enables hydrologists to plan their response to flooding events. Urban drainage catchment modelling requires rainfall-runoff models as a prerequisite. In the UK, one of the main software tools used for drainage modelling is InfoWorks CS, based on relatively simple methods which are relatively robust in predicting runoff. This paper presents an alternative approach to modelling runoff that will allow for the complex inter-relation of runoff that occurs from impermeable areas, permeable areas, local surface storage and variation in rainfall induced infiltration. Apart from the uncertainties associated with the measurement of connected surfaces to the drainage system, the …
A Simulation-Optimization Model For Optimal Estimation Of The Locations And Chlorine Injection Rates Of The Booster Stations In Water Distribution Networks, Serife Gokce, Tamer Ayvaz
A Simulation-Optimization Model For Optimal Estimation Of The Locations And Chlorine Injection Rates Of The Booster Stations In Water Distribution Networks, Serife Gokce, Tamer Ayvaz
International Conference on Hydroinformatics
The main objective of this study is to present a simulation-optimization model to determine the locations and disinfectant injection dosages of the booster stations for maintaining the disinfectant residual limits in drinking water distribution networks. The proposed model accomplishes this task by utilizing the global exploration feature of the Differential Evolution (DE) optimization algorithm. The objective of the DE based optimization model is to maximize an aggregated objective function value which includes two conflicting objectives. While the first objective aims to maximize the percentage of water within the specified residual limits, the second one deals with the minimization of the …
Evaluation Of Retrofitting Options In Urban Drainage Systems Based On Flexibility: A Case Study For Nhieu Loc - Thi Nghe Basin In Ho Chi Minh City, Mohanasundar Radhakrishnan, Chau Nguyen Xuan Quang, Assela Pathirana, Ho Long Phi, Richard M. Ashley
Evaluation Of Retrofitting Options In Urban Drainage Systems Based On Flexibility: A Case Study For Nhieu Loc - Thi Nghe Basin In Ho Chi Minh City, Mohanasundar Radhakrishnan, Chau Nguyen Xuan Quang, Assela Pathirana, Ho Long Phi, Richard M. Ashley
International Conference on Hydroinformatics
Inherent uncertainties are the primary constraints and concerns for any robust urban flood management programme. Selection of better retrofitting options to tackle uncertainties involves the process of evaluating the technical and financial feasibility of a wide range of options. In this paper, we present a case study of a catchment in Ho Chi Minh City, Vietnam, where we apply evolutionary methods to search for optimal retrofitting opportunities to cope with uncertainties. Flexible options such as detention storage at nodes and provision of sustainable drainage systems have been identified. The optimal storage volumes for detention storage at the nodes and optimal …
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 …
Practical Application Of Pressure-Dependent Epanet Extension, Alemtsehay G. Seyoum, Tiku T. Tanyimboh
Practical Application Of Pressure-Dependent Epanet Extension, Alemtsehay G. Seyoum, Tiku T. Tanyimboh
International Conference on Hydroinformatics
Hydraulic models have been widely used in the design and operation of water distribution system (WDSs). The models enable planning for possible changes in the system under a wide range of conditions. Under abnormal operating condition, for instance, WDSs become pressure deficient and unable to satisfy demand fully. In such circumstances, pressure dependent models are suitable to quantify the shortfall in flow and pressure accurately for crucial decision-making. Most recently, a pressure dependent extension of the renowned EPANET hydraulic simulator was developed to enable modelling of pressure deficient networks. The model has an integrated pressure dependent demand (i.e. nodal flow) …
Genetic Programming For Cellular Automata Urban Inundation Modelling, Mike J. Gibson, Edward C. Keedwell, Dragan A. Savić
Genetic Programming For Cellular Automata Urban Inundation Modelling, Mike J. Gibson, Edward C. Keedwell, Dragan A. Savić
International Conference on Hydroinformatics
Recent advances in Cellular Automata (CA) represent a new, computationally efficient method of simulating flooding in urban areas. A number of recent publications in this field have shown that CAs can be much more computationally efficient than methods than using standard shallow water equations (Saint Venant/Navier-Stokes equations). CAs operate using local state-transition rules that determine the progression of the flow from one cell in the grid to another cell, in many publications the Manning’s Formula is used as a simplified local state transition rule. Through the distributed interactions of the CA, computationally simplified urban flooding can be processed, although these …
Rainfall Interpolation Models Obtained By Means Of Evolutionary Computing, Maritza L. Arganis, Margarita Preciado, Katya Rodriguez, Alfredo Ocon, Ramón Domínguez Mora
Rainfall Interpolation Models Obtained By Means Of Evolutionary Computing, Maritza L. Arganis, Margarita Preciado, Katya Rodriguez, Alfredo Ocon, Ramón Domínguez Mora
International Conference on Hydroinformatics
Complete missing records is a matter of great importance in hydrology problems. In this work we applied genetic algorithms and genetic programming models for precipitation in Cutzamala River Basin, Mexico, such models depend on the geographical coordinates and altitude of climatologic stations currently in operation. The obtained models were applied to interpolate 24 hours rainfalls for three analyzed storms. The Genetic programming model outperformed the genetic algorithm in the estimation of precipitation 24 hours estimated on a site, with respect to the measured data.
Improved Sea Level Anomaly Prediction Through Genetic Programming In Singapore Regional Waters, Alamsyah Kurniawan, Seng Keat Ooi, Vladan Babovic
Improved Sea Level Anomaly Prediction Through Genetic Programming In Singapore Regional Waters, Alamsyah Kurniawan, Seng Keat Ooi, Vladan Babovic
International Conference on Hydroinformatics
With the recent advances in measurement and information technology, there is an abundance of data available for analysis and modelling of hydrodynamic systems. With increasing spatial and temporal data coverage, better quality and reliability of data modelling and data driven techniques are becoming more favorable and acceptable to the hydrodynamic community. The data model integration tools and techniques are being applied in variety of hydroinformatics applications ranging from simple data mining for pattern discovery to data driven models and numerical model error correction. The present study explores the possibility of employing “genetic programming” (GP) as an offline data driven modelling …
Comparison Of Various Phased Approaches For The Constrained Minimum-Cost Design Of Water Distribution Networks, Enrico Creaco, Marco Franchini, Tom Walski
Comparison Of Various Phased Approaches For The Constrained Minimum-Cost Design Of Water Distribution Networks, Enrico Creaco, Marco Franchini, Tom Walski
International Conference on Hydroinformatics
This work is aimed at analyzing and comparing three different phased approaches for constrained minimum-cost design of water distribution networks: the single-step design with demand feedback, the multi-step design without demand feedback and the multi-step design with demand feedback. The difference between the single-step design and the multi-step design lies in the fact that whereas the former entails optimizing a single construction step at a time, i.e. the current construction phase, the latter is based on the phasing of construction and then is aimed at optimizing the current construction phase and all the subsequent phases, included inside a certain temporal …
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 …
A Hybrid Piecewise-Linear/Newton Approach To Solve Multi-Period Production And Distribution Planning Problems In Large Water Supply Networks, Derek Verleye, El-Houssaine Aghezzaf
A Hybrid Piecewise-Linear/Newton Approach To Solve Multi-Period Production And Distribution Planning Problems In Large Water Supply Networks, Derek Verleye, El-Houssaine Aghezzaf
International Conference on Hydroinformatics
Efficient production and distribution planning of water is a challenging problem that many drinking water companies face. The development of effective tools to optimally supply this vital resource is therefore essential. Nowadays, many drinking water companies rely on simulation software packages (EPANET, InfoWorks) for the daily operation of their network. This software allows the user to make accurate and thus reliable simulations of the network for a chosen configuration. However, the user-defined scenario’s do not consider the lowest operating costs. Very often the pumps are working at a suboptimal point in their system curve and water production centers are not …
Sustainable Urban Water Management: A Simulation Optimization Approach, Saeed Nazari, S. Jamshid Mousavi, Kourosh Behzadian, Zoran Kapelan
Sustainable Urban Water Management: A Simulation Optimization Approach, Saeed Nazari, S. Jamshid Mousavi, Kourosh Behzadian, Zoran Kapelan
International Conference on Hydroinformatics
Sustainable water supply for an urban water system (UWS) is a challenge especially when the system is subject to both climate change and increasing water demand. This paper presents a simulation-optimization approach for determining an optimal strategy for long term operation of UWSs. The simulation module is the conceptual WaterMet2 model which can quantify and evaluate the values of some pre-defined performance indicators through simulating the UWS operation. The optimization module is the genetic algorithm (GA) minimizing water abstraction from groundwater wells and total costs while maximizing the system reliability. The decision variables are the amounts of water allocated to …