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  • © 1994

Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Time Series Analysis in Hydrology and Environmental Engineering

Part of the book series: Water Science and Technology Library (WSTL, volume 10/3)

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Table of contents (33 chapters)

  1. Front Matter

    Pages i-xix
  2. Climatic Change

    1. Front Matter

      Pages 1-1
    2. Knowledge Based Classification of Circulation Patterns for Stochastic Precipitation Modeling

      • A. Bárdossy, H. Muster, L. Duckstein, I. Bogardi
      Pages 19-32
    3. A Nonparametric Renewal Model for Modeling Daily Precipitation

      • Balaji Rajagopalan, Upmanu Lall, David G. Tarboton
      Pages 47-59
  3. Forecasting

    1. Front Matter

      Pages 61-61
    2. Evaluation of Streamflow Forecasting Models

      • Tao Tao, William C. Lennox
      Pages 77-85
    3. Seeking User Input in Inflow Forecasting

      • T. Tao, I. Corbu, R. Penn, F. Benzaquen, L. Lai
      Pages 99-103
    4. Linear Procedures for Time Series Analysis in Hydrology

      • P. R. H. Sales, B. de B. Pereira, A. M. Vieira
      Pages 105-117
  4. Neural Networks

    1. Front Matter

      Pages 203-203

About this book

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.

Editors and Affiliations

  • Departments of Systems Design Engineering and Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada

    Keith W. Hipel

  • Department of Statistical and Actuarial Sciences, The University of Western Ontario, London, Canada

    A. Ian McLeod

  • Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada

    A. Ian McLeod

  • Department of Civil Engineering, Lakehead University, Thunder Bay, Canada

    U. S. Panu

  • Department of Civil Engineering, Louisiana State University, Baton Rouge, USA

    Vijay P. Singh

Bibliographic Information

Buy it now

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access