Last edited by Maubar
Tuesday, May 5, 2020 | History

5 edition of Time series modelling of water resources and environmental systems found in the catalog.

Time series modelling of water resources and environmental systems

by Keith W. Hipel

  • 43 Want to read
  • 20 Currently reading

Published by Elsevier in Amsterdam, New York .
Written in English

    Subjects:
  • Environmental sciences -- Mathematical models.,
  • Hydrology -- Mathematical models.,
  • Time-series analysis.

  • Edition Notes

    Includes bibliographical references and indexes.

    StatementKeith W. Hipel, A. Ian McLeod.
    SeriesDevelopments in water science ;, 45
    ContributionsMcLeod, A. Ian.
    Classifications
    LC ClassificationsGE40 .H57 1994
    The Physical Object
    Paginationxxxvii, 1013 p. :
    Number of Pages1013
    ID Numbers
    Open LibraryOL1089934M
    ISBN 100444892702
    LC Control Number94014048

      The MODFLOW One-Water Hydrologic Flow Model (MF-OWHM; Boyce and others, ; Hanson and others, ) is a MODFLOW based integrated hydrologic model designed for the analysis of conjunctive-use management. The term “integrated” refers to the tight coupling of groundwater flow, surface-water flow, landscape processes, aquifer compaction . The stochastic modelling of water demand requires knowledge of the statistical features of the demand time series at different spatial and temporal scales. With this aim, this paper presents a stochastic description of demand and discusses in which measure its statistical properties depend on the level of spatial and temporal by: 3.

    Sustainable Water Resources Management presents the most current thinking on the environmental, social, and political dimensions of sustainably managing the water supply at local, regional, or basin levels. The twin challenges of ensuring an adequate water supply and the optimal allocation for different uses are compounded by changes in climate. The distribution of reclaimed water using dual water distribution systems, one for potable water and the other for nonpotable water, is a widely accepted practice. Some drivers for the increasing use of reclaimed water include diminishing supplies of high-quality water resources, escalating costs for developing new sources or for treating.

    Environmental modelling and prediction / Gongbing Peng, Lance M. Leslie, Yaping Shao (eds.) Introduction to applied mathematics for environmental science / by David F. Parkhurst; Time series modelling of water resources and environmental systems / Keith W. Hipel, A. Ian McLeod. Water resource systems planning and management issues are rarely simple. Demands for reliable supplies of clean water to satisfy the energy, food, and industrial demands of an increasing population and to maintain viable natural ecosystems are growing. This is happening at the same time changes in our climate are increasing the risks of having to deal with too little or Cited by:


Share this book
You might also like
Handbook of gas laser experiments

Handbook of gas laser experiments

book of Dumfriesshire

book of Dumfriesshire

Public Telecommunications Act of 1981

Public Telecommunications Act of 1981

The tiger in the tiger pit.

The tiger in the tiger pit.

relay readers.

relay readers.

Discourses on all the principal branches of natural religion and social virtue. By James Foster, ...

Discourses on all the principal branches of natural religion and social virtue. By James Foster, ...

Mother Love Forgive or Forget

Mother Love Forgive or Forget

Inside Constantinople

Inside Constantinople

Holy Roman Republic

Holy Roman Republic

Homeopathic Prescribing

Homeopathic Prescribing

Time series modelling of water resources and environmental systems by Keith W. Hipel Download PDF EPUB FB2

Search in this book series. Time Series Modelling of Water Resources and Environmental Systems. Edited by Keith W. Hipel, A. Ian McLeod. Vol Pages iii-xxxvii, () Download full volume. Previous volume. Next volume. This book is now out-of-print and the copyright has reverted to the authors.

We give our permission to use this material freely for teaching provided that the following citation is included: "Time Series Modelling of Water Resources and Environmental Systems" by Keith W. Hipel and A. Ian McLeod. PREFACE. 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.

Exploratory Data Analysis and Intervention Modelling in Confirmatory Data Analysis. Nonparametric Tests for Trend Detection. Regression Analysis and Trend Assessment.

(source: Nielsen Book Data) Summary This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems. Time Series Modelling of Water Resources and Environmental Systems 08 Jul - Hipel K.W.

& McLeod A.I., Document Actions. Article citations. More>> Hipel, K.W. and McLeod, A.I. () Time Series Modelling of Water Resources and Environmental Systems. Electronic Reprint of Our Book Originally Published in. Time Series Modelling of Water Resources and Environmental Systems.

Book Published Amsterdam ; New York: Elsevier, Language English Series Developments in Water Science ISBN (alk. paper) Time series modelling of water resources and environmental systems / c| Keith W. Hipel, A. Ian McLeod. Time series modelling of water resources and environmental systems.

Amsterdam ; New York: Elsevier, (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Keith W Hipel; A Ian McLeod. Hipel, K. (Editor), "Multiple Objective Decision Making in Water Resources", Set of refereed papers published as AWRA Monograph No.

18 by the American Water Resources Association and also published in the February Issue of Water Resources Bulletin (now called Journal of the American Water Resources Association), Vol. 28,   Book Review: Time series modelling of water resources and environmental systems.

by K.W. Hipel and A.I. McLeod. Elsevier, Amsterdam,hardcover, XXXVII + Cited by: 2. Time Series Modelling of Water Resources and Environmental Systems | Hipel, Keith W.; McLeod, A.

Ian. | download | B–OK. Download books for free. Find books. Series Developments in water science ; 45 Notes Includes bibliographical references and indexes. Subject headings Environmental sciences--Mathematical models. Hydrology--Mathematical models. Time-series analysis. Other subjects Natural.

Electronic reprint of our book orginally published in Hipel, K.W. and McLeod, A.I., (). Time Series Modelling of Water Resources and Environmental Systems — European Environment Agency.

Hipel, K.W. (Editor), "Time Series Analysis in Water Resources", set of refereed papers published as AWRA Monograph Series No. 4 by the American Water Resources Association and also published in the August and October issues of Water Resources Bulletin, Vol.

21, Environmental and Hydrological Systems Modelling provides the tools needed by presenting different approaches to modelling the water environment over a range of spatial and temporal scales. Their applications are shown with a series of.

Environmental and Hydrological Systems Modelling provides the tools for students and professionals embarking on a modelling project.

The book presents different approaches to modelling the water environment over a range of spatial and temporal scales. Applications are shown with a series of case studies, taken mainly from the Asia-Pacific Region.

Environmental modeling deals with representation of processes that occur in the real world in space and time. The processes that transform the environment through time are mostly described by dynamic models based on differential equations.

The spatial interactions and topological rules are mostly managed by geographic information systems (GIS). Environmental and Hydrological Systems Modelling provides the tools needed by presenting different approaches to modelling the water environment over a range of spatial and temporal scales.

Their applications are shown with a series of case studies, taken mainly from the Asia-Pacific by:   In this study, a general framework integrating a data-driven estimation model with sequential probability updating is suggested for detecting quality faults in water distribution systems from multivariate water quality time series.

The method utilizes artificial neural networks (ANNs) for studying the interplay between multivariate water quality parameters and detecting Cited by: Water resources systems analysis.

Lewis Publishers. Mohammad Karamouz, Ferenc Szidarovszky, Banafsheh Zahraie. Year: Time Series Modelling of Water Resources and Environmental Systems. Elsevier Science Pub Co. Hipel, Keith W., McLeod, A. Ian. Year: A search query can be a title of the book, a name of the author, ISBN or anything else.

Time series methods take into account possible internal structure in the data Time series data often arise when monitoring industrial processes or tracking corporate business metrics. The essential difference between modeling data via time series methods or using the process monitoring methods discussed earlier in this chapter is the following.Developing time series of flow at a suitable timestep using rainfall runoff models or mass balance methods to inform water resources, water quality and catchment flow studies.

Validation and verification of flow estimates using hydrometric and catchment information to give confidence that you are using the best information for your investigation.Design of the Performance Evaluation Library for Speech Recognition Systems Based on SystemC. Chapter 9 Simulating with Nonseasonal Models.

Time Series Modelling of Water Resources and Environmental Systems, () An Expanded Set of Correlation Tests for Linear Congruential Random Number Generators. Combinatorics Cited by: