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Author: K.W. Hipel Publisher: Elsevier ISBN: 0080870368 Category : Technology & Engineering Languages : en Pages : 1053
Book Description
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.
Author: K.W. Hipel Publisher: Elsevier ISBN: 0080870368 Category : Technology & Engineering Languages : en Pages : 1053
Book Description
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.
Author: Keith W. Hipel Publisher: Springer Science & Business Media ISBN: 9401730830 Category : Science Languages : en Pages : 469
Book Description
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.
Author: Shahab Araghinejad Publisher: Springer Science & Business Media ISBN: 9400775067 Category : Science Languages : en Pages : 292
Book Description
“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.
Author: D.R. Helsel Publisher: Elsevier ISBN: 9780080875088 Category : Mathematics Languages : en Pages : 546
Book Description
Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.
Author: J.B. Marco Publisher: Springer Science & Business Media ISBN: 9401116970 Category : Science Languages : en Pages : 470
Book Description
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.
Author: Keith W. Hipel Publisher: Springer ISBN: 3319142151 Category : Science Languages : en Pages : 291
Book Description
The latest developments regarding the theory and practice of effectively resolving conflict in water resources and environmental management are presented in this book by respected experts from around the globe. Water conflicts are particularly complex and challenging to solve because water and environmental issues span both the societal realm, in which people and organizations interact, and the physical world which sustains all human activities. For instance, when large-scale water diversions take place across political jurisdictions, conflicts may ensue among stakeholders within and across regions, while the water transfers may cause severe damage to sensitive ecological systems. Therefore, to arrive at realistic and fair resolutions, one must take into account not only the economics and politics of the situation but also the water quantity and quality changes that may occur within the altered hydrological system as well as the ecosystems contained therein. When the effects of climate change and the closely connected activities of energy production and usage are also considered, the complexity of the problem becomes even greater and messier. Accordingly, one must adopt an integrative and adaptive approach to water and environmental governance that specifically recognizes the conflicting value systems of stakeholders, including nature and future generations even though they are not present at the bargaining table. The 16 chapters in this leading-edge book are written by authors who presented their original research at the International Conference on Water Resources and Environment Research (ICWRER) 2013, which was held in Koblenz, Germany, from June 3rd to 7th, 2013, and subsequently submitted expanded versions of their research for review and publication in this timely book. The rich range of contributions are put into perspective in the first chapter and then categorized into four main interconnected parts: Part I: Management and EvaluationPart II: Global, Trans-boundary and International Dimensions Part III: Consensus-building, Bargaining and Negotiation Part IV: Ecological and Socio-economic Impacts
Author: Ian Simmers Publisher: Taylor & Francis ISBN: 113529108X Category : Science Languages : en Pages : 353
Book Description
In order to provide water security in the twenty-first century, there is universal agreement that a continuation of current policies and extrapolation of trends is not an option. Also clear is that from both water supply and development perspectives, the world's arid and semi-arid regions are those currently and potentially experiencing the highest
Author: Maheswaran Rathinasamy Publisher: Springer ISBN: 9811320381 Category : Science Languages : en Pages : 206
Book Description
The second volume of this book is a compilation of the high-quality papers from the International Conference on Emerging Trends in Water Resources and Environmental Engineering (ETWREE 2017). Written by researchers and academicians from prestigious institutes across India, the contributions present various scenarios and discuss the challenges of climate change and its impact on the environment, water resources and industrial and socio-economic developments. The book is a valuable resource for scientists, faculties, policymakers, and stakeholders working in the field of climate and environment management to address the current global environmental challenges.
Author: Wai Keung Li Publisher: Springer ISBN: 1493965689 Category : Business & Economics Languages : en Pages : 293
Book Description
This volume reviews and summarizes some of A. I. McLeod's significant contributions to time series analysis. It also contains original contributions to the field and to related areas by participants of the festschrift held in June 2014 and friends of Dr. McLeod. Covering a diverse range of state-of-the-art topics, this volume well balances applied and theoretical research across fourteen contributions by experts in the field. It will be of interest to researchers and practitioners in time series, econometricians, and graduate students in time series or econometrics, as well as environmental statisticians, data scientists, statisticians interested in graphical models, and researchers in quantitative risk management.
Author: K.W. Hipel
Author: K.W. Hipel
Author: Keith W. Hipel
Author: Keith W. Hipel
Author: Shahab Araghinejad
Author: D.R. Helsel
Author: J.B. Marco
Author: Keith W. Hipel
Author: Ian Simmers
Author: Maheswaran Rathinasamy
Author: Wai Keung Li