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 51
Full-Text Articles in Physical Sciences and Mathematics
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, …
Support Of Teaching And Research In Hydroinformatics With R, Milan Cisty
Support Of Teaching And Research In Hydroinformatics With R, Milan Cisty
International Conference on Hydroinformatics
R is a free software programming language and environment for statistical computing and graphics. Polls and surveys show that R's popularity has increased substantially in recent years. The objective of this paper is to review features that make R a powerful environment for pre-processing and analyzing data from hydrology and water resources management, and for various other tasks such as hydrological processes modeling, time series analysis, trend analysis, GIS analysis of the watershed, geostatistics, extreme value analysis and various other tasks. This review paper will deal with the possibilities of applying the R programming language in water resources and hydrologic …
A New Methodology For Deriving Regional Time Of Concentration Equations Using Gis And Genetic Programming, Soroosh Sharifi, Mahdi Razaz
A New Methodology For Deriving Regional Time Of Concentration Equations Using Gis And Genetic Programming, Soroosh Sharifi, Mahdi Razaz
International Conference on Hydroinformatics
Time of concentration (ToC) is the most frequently utilized time-scale parameter in hydrology which must be estimated accurately to ensure correct simulation of many different hydrological processes. Hydrologists have developed many empirical and semi-empirical methods for estimating ToC which are regional, watershed, and site-specific. Modellers are often confused by the number of ToC estimation methods and formulas and often select an equation without evaluating its correctness which leads to inaccurate simulation results. The importance of deriving and using regional ToC equations has been highlighted in many studies. In this paper, a methodology is proposed for deriving ToC equation(s) for watersheds …
Catchment-Scale Water Quality Monitoring, Control And Management Framework Using Collaborative Wireless Sensor Networks, Huma Zia, Nick Harris, Geoff Merrett
Catchment-Scale Water Quality Monitoring, Control And Management Framework Using Collaborative Wireless Sensor Networks, Huma Zia, Nick Harris, Geoff Merrett
International Conference on Hydroinformatics
Improving water quality is a global concern, with agricultural practices being the major contributors to reduced water quality. The reuse of nutrient-rich drainage water can be a valuable strategy to maximise water resources and gain economic-environmental benefits. Transmitting event information across a catchment, as the event occurs upstream, allows prediction of the outflow dynamics of the expected discharges downstream. Here, we propose a framework architecture which utilises increasingly common local farm-scale networks and other water-quality monitoring networks across a catchment, adding provision for collaborative information sharing. The key part is that individual networks learn their environment, predicting the impact of …
Comparison Of Interpolation Technique For Rain Gauge Data Through The Distributed Rainfall-Runoff Model, Byung-Jin So, Ji-Young Yoo, Hyun-Han Kwon
Comparison Of Interpolation Technique For Rain Gauge Data Through The Distributed Rainfall-Runoff Model, Byung-Jin So, Ji-Young Yoo, Hyun-Han Kwon
International Conference on Hydroinformatics
Precipitation estimated from different measuring techniques such as rain gauge, radar and satellite have some similarities, but there are also differences among them. For example, techniques based on radar and satellite data underestimate rainfall than those using rain gauge data. In addition, many different interpolation techniques have been used to measure spatial pattern of precipitation but it is still difficult to have an accurate pattern by any one of them. The differences between the rainfall estimates from different techniques vary seasonally as well as regionally so that the radar or satellites are not directly applied into hydrologic analysis. In this …
Optimized Use Of Water From Multiple Sources In Micro Water Grid Systems: A Modeling Approach, Hyeongrak Cho, Jungwoo Jung, Sangho Lee, Soo Kwen Chae
Optimized Use Of Water From Multiple Sources In Micro Water Grid Systems: A Modeling Approach, Hyeongrak Cho, Jungwoo Jung, Sangho Lee, Soo Kwen Chae
International Conference on Hydroinformatics
Micro water grid (MWG) is a novel approach to allow high reliability, diversification of water sources, low energy consumption, and cost reduction. Although it is not well-defined, it has potential for efficient management of urban water. MWG is suitable for use in small-scale buildings and towns, which have various uses of water produced from multiple source waters. Accordingly, design of MWG is challenging without proper tools to predict its performance. This research focused on the development and application of a model for optimized use of water from multiple sources in MWG systems. The model was comprised of two modules including …
Parameterization Of Turbulence Models Using 3dvar Data Assimilation, Agnieszka Indiana Olbert, Stephen Nash, Emanuele Ragnoli, Michael Hartnett
Parameterization Of Turbulence Models Using 3dvar Data Assimilation, Agnieszka Indiana Olbert, Stephen Nash, Emanuele Ragnoli, Michael Hartnett
International Conference on Hydroinformatics
In this research the 3DVAR data assimilation scheme is implemented in the numerical model DIVAST in order to optimize the performance of the numerical model by selecting an appropriate turbulence scheme and tuning its parameters. Two turbulence closure schemes: the Prandtl mixing length model and the two-equation k-ε model were incorporated into DIVAST and examined with respect to their universality of application, complexity of solutions, computational efficiency and numerical stability. A square harbour with one symmetrical entrance subject to tide-induced flows was selected to investigate the structure of turbulent flows. The experimental part of the research was conducted in a …
Automatic Frequency-Based Flood Forecast From Numerical Weather Prediction Using A Service-Oriented Architecture, Ang Zhang, Tiejian Li, Haiyun Shi, Wang Fu, Jiaye Li
Automatic Frequency-Based Flood Forecast From Numerical Weather Prediction Using A Service-Oriented Architecture, Ang Zhang, Tiejian Li, Haiyun Shi, Wang Fu, Jiaye Li
International Conference on Hydroinformatics
Destructive floods occurred more frequently in mountainous regions in China in recent years. However, the meteorological and hydrological station network in such regions is usually poor, and no long-series observations are available. Therefore, it is difficult to determine the hydrological parameters for flood discharge and stage forecast. This paper aims to propose an automatic frequency-based flood forecast framework from numerical weather prediction (NWP) using a Service Oriented Architecture (SOA). The proposed framework has 4 main steps. First, historical flood discharge is simulated by using a distributed hydrological model and satellite-derived rainfall dataset (e.g., the CMORPH and the TRMM), and the …
Prediction Of Hydrological Models’ Uncertainty By A Committee Of Machine Learning-Models, Nagendra Kayastha, Dimitri P. Solomatine, Durga Lal Shrestha
Prediction Of Hydrological Models’ Uncertainty By A Committee Of Machine Learning-Models, Nagendra Kayastha, Dimitri P. Solomatine, Durga Lal Shrestha
International Conference on Hydroinformatics
This study presents an approach to combine uncertainties of the hydrological model outputs predicted from a number of machine learning models. The machine learning based uncertainty prediction approach is very useful for estimation of hydrological models' uncertainty in particular hydro-metrological situation in real-time application [1]. In this approach the hydrological model realizations from Monte Carlo simulations are used to build different machine learning uncertainty models to predict uncertainty (quantiles of pdf) of the a deterministic output from hydrological model . Uncertainty models are trained using antecedent precipitation and streamflows as inputs. The trained models are then employed to predict the …
Prediction And Dissemination Of Bathing Water Quality In England And Wales – A Pilot Study, Juzer F. Dhondia, Deborah Tyrrell, Daniel Twigt, Ian Dunhill
Prediction And Dissemination Of Bathing Water Quality In England And Wales – A Pilot Study, Juzer F. Dhondia, Deborah Tyrrell, Daniel Twigt, Ian Dunhill
International Conference on Hydroinformatics
Water quality at some bathing waters can be adversely affected by heavy rainfall resulting in water running off the land, picking up faecal contaminants from the catchment and discharging this to bathing waters. The Environment Agency of England and Wales analyzed the relationship between water quality and rainfall at each bathing site. This relationship between rainfall and water quality depends on the intensity and duration of the rainfall and considering each bathing sites individual characteristics such as tidal flows, wind, run-off from surrounding catchment. This paper describes a Pilot study for setting up an operational bathing water quality prediction system …
Hydroterre Strahler Network Service For Any Level 12 Huc Catchment In The Usa., Lorne Leonard, Chris Duffy
Hydroterre Strahler Network Service For Any Level 12 Huc Catchment In The Usa., Lorne Leonard, Chris Duffy
International Conference on Hydroinformatics
My talk will discuss two related topics to HydroTerre (http://www.hydroterre.psu.edu), a prototype infrastructure that provides researchers, educators, and resource managers with seamless access to geospatial/geotemporal data for supporting physics-based numerical models. The first topic describes the prototype, defining the supporting Essential Terrestrial Variables (ETV’s) and the infrastructure to support models and data anywhere in the continental USA (CONUS). I will address how we are overcoming important problems of accessibility to high-resolution geospatial data sets from multiple sources, scalability of geospatial data in support of distributed models and data-intensive computation for multi-scale, multi-state simulations. The second topic will describe a derived …
Comparison Of Statistical Failure Models To Support Sewer System Operation, Maria Torres, Juan Pablo Rodriguez, Joao P. Leitao
Comparison Of Statistical Failure Models To Support Sewer System Operation, Maria Torres, Juan Pablo Rodriguez, Joao P. Leitao
International Conference on Hydroinformatics
Currently, achieving appropriate operative performance of water infrastructure has become a high priority in urbanized areas. Particularly, providing reliable sewerage service is central for human well-being and its development (Kleidorfer, et al. 2013). Having that wastewater system management is an increasingly complex task due to a number of hardly predictable factors (e.g. deterioration of system components and climate variability), recent research efforts have been focusing on developing methods to identify optimum proactive rehabilitation and maintenance strategies, some of which are based on the identification of the sewerage structures in most need of attention. To meet such a goal, different forecast …
Vulnerability Assessment Of Water Distribution Systems Using Directed And Undirected Graph Theory, Kegong Diao, Raziyeh Farmani, Guangtao Fu, David Butler
Vulnerability Assessment Of Water Distribution Systems Using Directed And Undirected Graph Theory, Kegong Diao, Raziyeh Farmani, Guangtao Fu, David Butler
International Conference on Hydroinformatics
Vulnerability assessment is a promising approach to identifying critical components of complex systems. In such systems, critical components could be crucial links and strategic locations for management and control. Managing those components better could, in turn, improve or reinforce a system’s resilience to shock events. However, fully comprehensive vulnerability assessments cannot be guaranteed as enumerating all possible shock events in complex systems is computationally intensive and almost infeasible. Consequently, the important role of some components might be neglected. This paper explores the feasibility of using a dual approach vulnerability assessment for water distribution systems (WDSs). Specifically, complex network analysis (e.g. …
Meteomap: Generation Of Meteorological Variables For Distributed Physically-Based Hydrological Modeling, Cristina Aguilar, Javier Herrero, Agustín Millares, Miguel A. Losada, María José Polo
Meteomap: Generation Of Meteorological Variables For Distributed Physically-Based Hydrological Modeling, Cristina Aguilar, Javier Herrero, Agustín Millares, Miguel A. Losada, María José Polo
International Conference on Hydroinformatics
Distributed energy and water balance models require time-series surfaces of the meteorological variables involved in hydrological processes. Most of the hydrological GIS-based models apply simple interpolation techniques to extrapolate the point scale values registered at weather stations at a watershed scale. In mountainous areas, where the monitoring network ineffectively covers the complex terrain heterogeneity, simple geostatistical methods for spatial interpolation are not always representative enough, and algorithms that explicitly or implicitly account for the features creating strong local gradients in the meteorological variables must be applied. Originally developed as a meteorological pre-processing tool for a complete hydrological model (WiMMed), MeteoMap …
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 …
Hydrodynamic And Water Quality Surrogate Modeling For Reservoir Operation, Juan Aguilar, Schalk-Jan Van Andel, Micha Werner, Dimitri P. Solomatine
Hydrodynamic And Water Quality Surrogate Modeling For Reservoir Operation, Juan Aguilar, Schalk-Jan Van Andel, Micha Werner, Dimitri P. Solomatine
International Conference on Hydroinformatics
A methodology is developed for reservoir release decisions considering forecasted downstream dissolved oxygen local conditions. River water quality management using reservoirs focuses mainly on how to develop a release schedule that may improve downstream conditions based on the seasonal change of the water quality within the reservoir. This improvement, however does not take into account the downstream local water quality state, which in certain cases might be more important, as the pollutant load downstream could be diluted with the upstream available volume released from the reservoir. Field sampling collected data suggest that the dissolved oxygen concentration decay produced by polluted …
Development And Testing Of Data Driven Nowcasting Models Of Beach Water Quality, Jainy Mavani, Lianghao Chen, Darko Joksimovic, Songnian Li
Development And Testing Of Data Driven Nowcasting Models Of Beach Water Quality, Jainy Mavani, Lianghao Chen, Darko Joksimovic, Songnian Li
International Conference on Hydroinformatics
Beach water issues are gaining worldwide attention due to their impact on health and other environmental problems. The Ontario beaches require beach managers to issue swimming advisories when water quality standards are exceeded since users of recreational waters may be exposed to elevated pathogen levels through various point and non-point sources. Typical daily notifications rely on microbial analysis of indicator organisms (e.g. Escherichia coli), which require 18-24 hours to provide an adequate response. This research evaluated the use of Artificial Neural Networks (ANNs) and Evolutionary Polynomial Regression (EPR) for real time prediction of E.coli in the beach waters of Toronto …
Rediscovering Manning’S Equation Using Genetic Programming, Carlos F. Gaitan
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 …
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 …
Would Bangkok Be More Vulnerable To The Anticipated Changing Climate?, Thannob Aribarg, Minh Tue Vu, Siriporn Supratid, Seree Supratid, Shie-Yui Liong
Would Bangkok Be More Vulnerable To The Anticipated Changing Climate?, Thannob Aribarg, Minh Tue Vu, Siriporn Supratid, Seree Supratid, Shie-Yui Liong
International Conference on Hydroinformatics
The severe flooding in Thailand in 2011 was triggered by the tropical storm Nock-ten at end of July along the Mekong and Chao Phraya river basin. There are 4 additional storms that caused medium to heavy rainfall from June to October in the north and north-east of Thailand. Due to limited capacity of the Chao Phraya river and also Pasak river, several overbank flows occurred and also dikes along the river were broken causing excessive flow to many communities beside the river and downstream. The consequence was a total of 815 deaths with 13.6 million people affected and over 20,000 …
Considering The Effect Of Uncertainty And Variability In The Synthetic Generation Of Influent Wastewater Time Series, Mansour Talebizadehsardari, Evangelia Belia, Peter A. Vanrolleghem
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 …
Differential Evolution Algorithm (De) To Estimate The Coefficients Of Uniformity Of Water Distribution In Sprinkler Irrigation, Ramin Mansouri, Hasan Torabi
Differential Evolution Algorithm (De) To Estimate The Coefficients Of Uniformity Of Water Distribution In Sprinkler Irrigation, Ramin Mansouri, Hasan Torabi
International Conference on Hydroinformatics
Iran, has caused most of the water used and as much as possible to avoid losses. One of the important parameters in agriculture is water distribution uniformity coefficient (CU) in sprinkler irrigation. CU amount of water sprinkler operating depends on different pressure heads (P), riser height (RH), distance between sprinklers on lateral pipes (Sl) and the distance between lateral pipes (Sm). The best combination of the above parameters for maximum CU, is still unknown for applicators. In this research, CU quantities of zb model sprinkler (made in Iran) were measured at Hashemabad cotton research station of Gorgan under 3 different …
Searching For Empirical Evidence Of Complex Hydrological Behavior In Urbanizing Basins, Tijana Jovanovic, Ridwan Siddique, Alfonso Mejia
Searching For Empirical Evidence Of Complex Hydrological Behavior In Urbanizing Basins, Tijana Jovanovic, Ridwan Siddique, Alfonso Mejia
International Conference on Hydroinformatics
Urban living accounts for approximately 50% of the worldwide population and this percentage will continue to rise in the decades to come. Urbanizing landscapes and their associated processes represent key aspects of coupled natural and human systems. Additionally, they can influence and cause impacts on regional broad-scale basin hydrology, stream and riparian ecosystems, and water quality. For this research, it is hypothesized that streamflow and water quality time series data for urbanizing basins may exhibit signs of complexity such as long range correlations, state transitions, and chaotic dynamics. To explore this hypothesis, we will use tools from statistical physics and …
Development Of River Recreation Index Model Reflecting Fuzziness In Water Quality Data, Il Won Seo, Soo-Yeon Choi
Development Of River Recreation Index Model Reflecting Fuzziness In Water Quality Data, Il Won Seo, Soo-Yeon Choi
International Conference on Hydroinformatics
Recreational activities in rivers are gaining popularities in Korea due to increase of household income and rehabilitation of riverside. As a lot of people enjoy recreation in water, proper information on the water quality of rivers should be provided to the public in order to secure the safety of publics. In this research, a River Recreation Index (RRI) model was developed based on fuzzy set theory. RRI is the integrated index of important water quality parameters related to recreational activities in rivers and expressed as point from 0 to 100. The fuzzy synthetic evaluation approach was used to reflect the …
Decision Tree Analysis Of Processes Generating Water-Related Building Damage: A Case Study In Rotterdam, The Netherlands, Matthieu Spekkers, Francois Clemens, Marie-Claire Ten Veldhuis
Decision Tree Analysis Of Processes Generating Water-Related Building Damage: A Case Study In Rotterdam, The Netherlands, Matthieu Spekkers, Francois Clemens, Marie-Claire Ten Veldhuis
International Conference on Hydroinformatics
The objective of this study was to identify the main failure mechanisms behind water-related building damage and to investigate to what extent these processes are related to characteristics of buildings and rainfall events. Results are based on the mining of property level insurance damage data, for a case study in Rotterdam, the Netherlands. This study has found that most frequent causes of water-related damage relate to roof leakages (28%), bursts of household water supply pipes (19%) and blocked household wastewater systems (18%). Cases of sewer flooding or depression filling were less present (2.4% and 0.6%), but showed stronger correlations with …
Weather Generator Tool For The Assessment Of Water Resource Planning In Mediterranean Watersheds, María José Polo, Marta Egüen, Sergio Nieto, Javier Herrero, Asunción Baquerizo, Miguel A. Losada
Weather Generator Tool For The Assessment Of Water Resource Planning In Mediterranean Watersheds, María José Polo, Marta Egüen, Sergio Nieto, Javier Herrero, Asunción Baquerizo, Miguel A. Losada
International Conference on Hydroinformatics
Water resource planning requires the forecasting of precipitation at different time scales that are dependent on the planning horizon for decision making. In Mediterranean areas, the uncertainty associated to precipitation occurrence and amount is very much linked to alternate sequences of highly variable dry and wet pluriannual cycles, and the torrential character of some of the rainfall events within the wet season. Moreover, most of the precipitation is associated to cyclonic fronts passing over the region, and their interaction with the regional and local topography. This work presents a Weather Generator (WG) tool to simulate annual sequences of rainfall events …
Numerical Study On Climate Variation And Population Growth Impacts On An Australian Subtropical Water Supply Reservoir, Edoardo Bertone, Rodney Stewart, Hong Zhang, Kelvin O'Halloran
Numerical Study On Climate Variation And Population Growth Impacts On An Australian Subtropical Water Supply Reservoir, Edoardo Bertone, Rodney Stewart, Hong Zhang, Kelvin O'Halloran
International Conference on Hydroinformatics
Proactively managing high manganese (Mn) concentrations in drinking water supply reservoirs can be problematic for treatment plant operators. Typically, Mn monitoring is conducted manually and costly on a regular basis (e.g. weekly) throughout the entire year through water samplings and laboratory analysis. However, in the major water supply reservoir of the sub-tropical Gold Coast City region in Australia (i.e. Hinze Dam), a vertical profiling system (VPS) was installed and enabled a real-time data acquisition of many physical parameters of water. But these VPS parameters are not able to directly collect and analyse Mn concentrations. In the present study, a Decision …
An Optimization And Decision Support Tool For Long-Term Strategies In The Transformation Of Urban Water Infrastructure, Theo G. Schmitt, Silja Worreschk, Inka Kaufmann Alves, Frank Herold, Clemens Thielen
An Optimization And Decision Support Tool For Long-Term Strategies In The Transformation Of Urban Water Infrastructure, Theo G. Schmitt, Silja Worreschk, Inka Kaufmann Alves, Frank Herold, Clemens Thielen
International Conference on Hydroinformatics
Predicted climatic, demographic and socio-economic developments cause major adaptions of urban water infrastructures. The central water supply and wastewater systems in Europe do not meet the increased requirements of resource efficiency and sustainability anymore. Especially in rural areas predicted demographic change and the particular differentiated settlement structure affect the functionality of present water infrastructures. These new challenges require extensive and flexible adaptions or even a long-term and dynamic system change of urban infrastructures. These long-term transformations of infrastructure systems require the design of innovative strategies. In the project presented, environmental engineers together with city planners, mathematicians and computer scientists develop …
Analyzing And Modelling Sewage Discharge Process Of Typical Area Using Time Series Analysis Method, Sisi Zhou, Pengfei Du, Yong Pang, Shuyi Li
Analyzing And Modelling Sewage Discharge Process Of Typical Area Using Time Series Analysis Method, Sisi Zhou, Pengfei Du, Yong Pang, Shuyi Li
International Conference on Hydroinformatics
This study is conducted to develop a mathematical model for typical sewage discharge area like residential area, commercial district and institutional area. An approach of time series analysis is applied to build the model involving model selection, parameter estimation, simulation and prediction. The description of sewage discharge process is divided into two parts: Periodic change and stationary random process. Periodic change process is simulated by harmonic analysis which composites a number of trigonometric function together. Stationary random process is described using Stationary time series including six steps: stationary test of the series; calculation of autocorrelation function and partial autocorrelation function …
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
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 …