Download or read book Stochastic modelling of water consumption process and forecasting of water demand in towns written by Zbigniew Siwoń and published by . This book was released on 1986 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stochastic Water Demand Modelling written by Mirjam Blokker and published by IWA Publishing. This book was released on 2011-09-19 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water quality processes in the drinking water distribution network are strongly influenced by the flow velocity and residence time of the water in the network. In order to understand how the water quality changes in the drinking water distribution network, a good understanding of hydraulics is required. Specifically in the periphery of the network, where customers are connected, the hydraulics can change rapidly. During the night time the water is almost stagnant and the residence time increases. In the morning, when everybody gets up and flushes the toilet and takes a shower, high flow velocities can occur. During the remainder of the day flow velocities are low. The stochastic endues model SIMDEUM was developed to simulate water use on a small time scale (1 s) and small spatial scale (per fixture). SIMDEUM enables a good model of flow velocities, residence times and the connected water quality processes in the water distribution network. Stochastic Water Demand Modelling: Hydraulics in Water Distribution Networks describes the requirements of hydraulics in water quality modelling and provides insight into the development of detailed residential and non-residential water demand models. The book illustrates the use of detailed demand models in water quality models with respect to the variation in residence times and the relation with particle accumulation and resuspension. The models are compared to measurements in several real drinking water distribution networks.
Download or read book Water Demand Forecasting written by V. Gardiner and published by CRC Press. This book was released on 1986-06-30 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an outcome of the workshop on water demand forecasting in 1985. It summarises the 'state-of-the-art' in water demand forecasting, and identifies some of its links with environmental issues. The book discusses some of the issues raised in more detail and provides case studies.
Download or read book Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization written by J.B. Marco and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.
Download or read book Spatial temporal Statistical Modeling of Treated Drinking Water Usage written by Ernesto Arandia and published by . This book was released on 2013 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: In essence, modern drinking water distribution systems (DWDSs) exist to continuously satisfy the demand of their users while complying with water quality regulations. It stands to reason that the tasks of quantifying, estimating, and forecasting water consumption are critical components of resource management, planning and operation in the urban water industry. Yet, due to the complex stochastic nature of water demands, such important tasks are typically performed in an oversimplified deterministic manner which at best produces conservative results. Of critical inter- est, therefore, is the adoption of quantitative methods and technologies for accurately estimating and forecasting water consumption. The concomitant benefits may include the reduction of energy costs, residence times, pressure, and leakage in the DWDS through the optimal operation of pumps, reservoirs, and supply.Computational models of DWDSs have widely been developed by water utilities and researchers and applied mainly in design and offline analyses. It is clear that the industry and research com- munity recognize the usefulness of hydraulic models as tools to analyze the complex interaction among the generally massive number of system's components. Significant efforts are sometimes devoted to the refinement of the models to ensure their parameters reflect reality as close as possi- ble. Curiously, however, the parameters that most greatly influence the model's behavior, i.e., the water demands, are normally overlooked. It is not uncommon to assume a single arbitrary daily pattern for the totality of the nodes in a network model. This research considers that a more valid approach is to combine a reliable hydraulic model of a DWDS with realistic stochastic models of water use developed from fine-resolution consumption data. The intent is to abandon the time-pattern paradigm and take benefit of the opportunity to ac- cess large volumes of automatic meter reading (AMR) data at the level of the individual consumer which are expected to increasingly become available in the water industry. Methodologies that may be applied in offline and online estimation of water consumption are presented. On the one hand, a stochastic model structure for synthetic generation of demands is studied which may be used in producing individual consumer as well as nodal demands in a hydraulic network model. The method comprises a parameterization that intends to represent the native characteristics of the data. On the other hand, methodologies to estimate and forecast nodal demands are proposed consistent with a real-time approach. One of the contributions of this work is the development of an AMR database which is made available to the public. The data provides access to water consumption measurements from an unprecedented number of users of different categories over an extended period of time. Data of such type is expected to increase in the near future, therefore, the database may be a useful test bed for algorithms that incorporate highly disaggregated measurements of water use in DWDSs. Another contribution is the adoption of models for synthetic generation of demands that vary peri- odically and resemble real AMR demands. In addition, this research examines different models to forecast water demand aggregated at useful scales. Finally, it applies the findings to estimate and forecast water consumption in a network zone and in real time. The method proposed is extensively assessed and compared against a conventional approach to forecast demands.
Download or read book Environmental Modelling written by Keith Beven and published by CRC Press. This book was released on 2018-09-03 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty in the predictions of science when applied to the environment is an issue of great current relevance in relation to the impacts of climate change, protecting against natural and man-made disasters, pollutant transport and sustainable resource management. However, it is often ignored both by scientists and decision makers, or interpreted as a conflict or disagreement between scientists. This is not necessarily the case, the scientists might well agree, but their predictions would still be uncertain and knowledge of that uncertainty might be important in decision making. Environmental Modelling: An Uncertain Future? introduces students, scientists and decision makers to: the different concepts and techniques of uncertainty estimation in environmental prediction the philosophical background to different concepts of uncertainty the constraint of uncertainties by the collection of observations and data assimilation in real-time forecasting techniques for decision making under uncertainty. This book will be relevant to environmental modellers, practitioners and decision makers in hydrology, hydraulics, ecology, meteorology and oceanography, geomorphology, geochemistry, soil science, pollutant transport and climate change. A companion website for the book can be found at www.uncertain-future.org.uk
Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling. Audience The book constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences.
Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objectives The current global environmental crisis has reinforced the need for developing flexible mathematical models to obtain a better understanding of environmental problems so that effective remedial action can be taken. Because natural phenomena occurring in hydrology and environmental engineering usually behave in random and probabilistic fashions, stochastic and statistical models have major roles to play in the protection and restoration of our natural environment. Consequently, the main objective of this edited volume is to present some of the most up-to-date and promising approaches to stochastic and statistical modelling, especially with respect to groundwater and surface water applications. Contents As shown in the Table of Contents, the book is subdivided into the following main parts: GENERAL ISSUES PART I PART II GROUNDWATER PART III SURFACE WATER PART IV STOCHASTIC OPTIMIZATION PART V MOMENT ANALYSIS PART VI OTHER TOPICS Part I raises some thought-provoking issues about probabilistic modelling of hydro logical and environmental systems. The first two papers in Part I are, in fact, keynote papers delivered at an international environmetrics conference held at the University of Waterloo in June, 1993, in honour of Professor T. E. Unny. In his keynote pa per, Dr. S. J. Burges of the University of Washington places into perspective the historical and future roles of stochastic modelling in hydrology and environmental engineering. Additionally, Dr. Burges stresses the need for developing a sound scien tific basis for the field of hydrology. Professor P. E.
Download or read book Water Demand Management written by David Butler and published by IWA Publishing. This book was released on 2005-12-01 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: A common characteristic of water demand in urban areas worldwide is its inexorable rise over many years; continued growth is projected over coming decades. The chief influencing factors are population growth and migration, together with changes in lifestyle, demographic structure and the possible effects of climate change (the detailed implications of climate change are not yet clear, and anyway will depend on global location, but must at least increase the uncertainty in security of supply). This is compounded by rapid development, creeping urbanization and, in some places, rising standards of living. Meeting this increasing demand from existing resources is self-evidently an uphill struggle, particularly in water stressed/scarce regions in the developed and developing world alike. There are typically two potential responses: either "supply-side" (meeting demand with new resources) or "demand-side" (managing consumptive demand itself to postpone or avoid the need to develop new resources). There is considerable pressure from the general public, regulatory agencies, and some governments to minimise the impacts of new supply projects (e.g. building new reservoirs or inter-regional transfer schemes), implying the emphasis should be shifted towards managing water demand by best utilising the water that is already available. Water Demand Management has been prepared by the academic, government and industry network WATERSAVE. The concept of the book is to assemble a comprehensive picture of demand management topics ranging from technical to social and legal aspects, through expert critical literature reviews. The depth and breadth of coverage is a unique contribution to the field and the book will be an invaluable information source for practitioners and researchers, including water utility engineers/planners, environmental regulators, equipment and service providers, and postgraduates. Contents Water consumption trends and demand forecasting techniques The technology, design and utility of rainwater catchment systems Understanding greywater treatment Water conservation products Water conservation and sewerage systems An introduction to life cycle and rebound effects in water systems Developing a strategy for managing losses in water distribution networks Demand management in developing countries Drivers and barriers for water conservation and reuse in the UK The economics of water demand management Legislation and regulation mandating and influencing the efficient use of water in England and Wales Consumer reactions to water conservation policy instruments Decision support tools for water demand management
Download or read book Water Engineering Modeling and Mathematic Tools written by Pijush Samui and published by Elsevier. This book was released on 2021-02-05 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering. Includes firsthand experience about artificial intelligence models, utilizing case studies Describes biological, physical and chemical techniques for the treatment of surface water, groundwater, sea water and rain/snow Presents the application of new instruments in water engineering
Download or read book A Multistructural Demand Model for Water Requirement Forecasting written by George William Reid and published by . This book was released on 1970 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Urban Water Planning written by and published by . This book was released on 1977 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stochastic Modeling for Water Consumption written by Tuo Shi and published by . This book was released on 2006 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Driven Modeling Using MATLAB in Water Resources and Environmental Engineering written by Shahab Araghinejad and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.
Download or read book Time Series Modelling of Water Resources and Environmental Systems written by K.W. Hipel and published by Elsevier. This book was released on 1994-04-07 with total page 1053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems. A variety of time series models are explained and illustrated, including ARMA (autoregressive-moving average), nonstationary, long memory, three families of seasonal, multiple input-single output, intervention and multivariate ARMA models. Other topics in environmetrics covered in this book include time series analysis in decision making, estimating missing observations, simulation, the Hurst phenomenon, forecasting experiments and causality. Professionals working in fields overlapping with environmetrics - such as water resources engineers, environmental scientists, hydrologists, geophysicists, geographers, earth scientists and planners - will find this book a valuable resource. Equally, environmetrics, systems scientists, economists, mechanical engineers, chemical engineers, and management scientists will find the time series methods presented in this book useful.
Download or read book Water Resource Systems Planning and Management written by Daniel P. Loucks and published by Springer. This book was released on 2017-03-02 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY-NC 4.0 license. This revised, updated textbook presents a systems approach to the planning, management, and operation of water resources infrastructure in the environment. Previously published in 2005 by UNESCO and Deltares (Delft Hydraulics at the time), this new edition, written again with contributions from Jery R. Stedinger, Jozef P. M. Dijkman, and Monique T. Villars, is aimed equally at students and professionals. It introduces readers to the concept of viewing issues involving water resources as a system of multiple interacting components and scales. It offers guidelines for initiating and carrying out water resource system planning and management projects. It introduces alternative optimization, simulation, and statistical methods useful for project identification, design, siting, operation and evaluation and for studying post-planning issues. The authors cover both basin-wide and urban water issues and present ways of identifying and evaluating alternatives for addressing multiple-purpose and multi-objective water quantity and quality management challenges. Reinforced with cases studies, exercises, and media supplements throughout, the text is ideal for upper-level undergraduate and graduate courses in water resource planning and management as well as for practicing planners and engineers in the field.
Download or read book Intelligent Soft Computing Models in Water Demand Forecasting written by Sina Shabani and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Given the increasing trend in water scarcity, which threatens a number of regions worldwide, governments and water distribution system (WDS) operators have sought accurate methods of estimating water demands. While investigators have proposed stochastic and deterministic techniques to model water demands in urban WDS, the performance of soft computing techniques [e.g., Genetic Expression Programming (GEP)] and machine learning methods [e.g., Support Vector Machines (SVM)] in this endeavour remains to be evaluated. The present study proposed a new rationale and a novel technique in forecasting water demand. Phase space reconstruction was used to feed the determinants of water demand with proper lag times, followed by development of GEP and SVM models. The relative accuracy of the three best models was evaluated on the basis of performance indices: coefficient of determination (R2), mean absolute error (MAE), root mean square of error (RMSE), and Nash-Sutcliff coefficient (E). Results showed GEP models were highly sensitive to data classification, genetic operators, and optimum lag time. The SVM model that implemented a Polynomial kernel function slightly outperformed the GEP models. This study showed how phase space reconstruction could potentially improve water demand forecasts using soft computing techniques.
