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Hydrological Models for Environmental Management

'NATO Science Partnership, Sub-Series 2'. Sprache: Englisch.
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Water is a key natural resource, the modelling and management of which is made complex by its inherent spatial unevenness and temporal variability. Stochastic modelling and forecasting cannot at present adequately represent the characteristics of hyd … weiterlesen
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Titel: Hydrological Models for Environmental Management
Autor/en: Mikhail V. Bolgov

ISBN: 1402009100
EAN: 9781402009105
'NATO Science Partnership, Sub-Series 2'.
Sprache: Englisch.
Herausgegeben von Mikhail V. Bolgov, Lars Gottschalk, Irina Krasovskaia
SPRINGER VERLAG GMBH

November 2002 - gebunden - 263 Seiten

Beschreibung

Water is a key natural resource, the modelling and management of which is made complex by its inherent spatial unevenness and temporal variability. Stochastic 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 stochastic 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.

Inhaltsverzeichnis

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. Stochastic model of the runoff fluctuations for rivers with a flood flow regime; A.V. Khristoforov, G.V. Kruglova, T.V. Samborski.
2: Stochastic 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. Stochastic models with periodic-correlation of seasonal river runoff variations; M.V. Bolgov. Identification of regional stochastic 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 stochastic reservoir; A.V. Frolov. Geophysical time series and climatic change: A sceptic's view; V. Klemes. On the development of the stochastic approach in hydrology; D.Ya. Ratkovich. Stochastic 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 stochastic 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 stochastic 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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