Hydrological Models for Environmental Management / Edition 1

Hydrological Models for Environmental Management / Edition 1

by Mikhail V. Bolgov
     
 

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ISBN-10: 1402009119

ISBN-13: 9781402009112

Pub. Date: 11/30/2002

Publisher: Springer Netherlands

Water is a key natural resource, the modelling and management of which is made complex by its inherent spatial unevenness and temporal variability. Shastic modelling and forecasting cannot at present adequately represent the characteristics of hydrological regimes, nor analyze the influence of water on processes that arise in biological systems and those involving

Overview

Water is a key natural resource, the modelling and management of which is made complex by its inherent spatial unevenness and temporal variability. Shastic modelling and forecasting cannot at present adequately represent the characteristics of hydrological regimes, nor analyze the influence of water on processes that arise in biological systems and those involving hydrological, geophysical and other processes. This book presents discussions of new shastic modelling approaches against the requirement of sustainable development in an environment that is changing due to human influence. A major challenge is to consider the effects of a changing climate and ecological impacts when developing modelling and risk assessment procedures in support of river basin management.

Product Details

ISBN-13:
9781402009112
Publisher:
Springer Netherlands
Publication date:
11/30/2002
Series:
Nato Science Partnership Subseries: 2 (closed), #79
Edition description:
Softcover reprint of the original 1st ed. 2002
Pages:
263
Product dimensions:
6.30(w) x 9.45(h) x 0.38(d)

Table of Contents

Preface. Acknowledgements.
1: Hydrometeorological extremes. Bayesian analysis of a simultaneous change in both the mean and the variance; L. Perreault, E. Parent, B. Bobee. On the distribution of the maximum of a random sample; V.F. Pisarenko. Shastic model of the runoff fluctuations for rivers with a flood flow regime; A.V. Khristoforov, G.V. Kruglova, T.V. Samborski.
2: Shastic models of long-term and seasonal variation in water balance. A study of the synchronicity of annual runoff fluctuations; V.M. Evstigneev, T.A. Akimenko. Shastic models with periodic-correlation of seasonal river runoff variations; M.V. Bolgov. Identification of regional shastic models from short time-series; M.I. Fortus, M.V. Bolgov. A method for simulation of periodic hydrological time series using wavelet transform; G. Feng. The Caspian Sea as a shastic reservoir; A.V. Frolov. Geophysical time series and climatic change: A sceptic's view; V. Klemes. On the development of the shastic approach in hydrology; D.Ya. Ratkovich. Shastic models of the long-term river runoff fluctuations with application water in construction and management; A.V. Rozhdestvensky.
3: River and sediment dynamics. Statistical model of river-bed stream: parameters of turbulence, energy characteristics; V.K. Debolksy, E.N. Dolgopolova.
4: Water resource system management. Management of water resources systems under non-stationary conditions; I.L. Khranovich, A.L. Velikanov. Interactive river-aquifer simulation and shastic analyses for predicting and evaluating the ecologic impacts of alternative land and water management policies; D.P. Loucks. A decision-making support system for selecting water protection and reservoir control measures; V.G.Priazhinskaya, L.K. Levit-Gourevich, D.M. Yaroshevskii. Control of regimes of water resource systems with shastic indeterminacy of the hydrometeorological data; A.M. Reznikovsky, M.I. Rubinshtein.
5: Risk assessment. Risk mapping of groundwater contamination; W.K. Wong, I. Krasovskaia, L. Gottschalk, A. Bárdossy. Economic risk of flooding: a case study for the Glomma River, Norway; L. Gottschalk, I. Krasovskaia, N.R. Sælthun.

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