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Titlebook: Hydrological Models for Environmental Management; Mikhail V. Bolgov,Lars Gottschalk,Robert J. Moore Book 2002 Springer Science+Business Me

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书目名称Hydrological Models for Environmental Management
编辑Mikhail V. Bolgov,Lars Gottschalk,Robert J. Moore
视频video
丛书名称NATO Science Partnership Subseries: 2
图书封面Titlebook: Hydrological Models for Environmental Management;  Mikhail V. Bolgov,Lars Gottschalk,Robert J. Moore Book 2002 Springer Science+Business Me
描述This book contains a selection of papers from a NATO Advanced Research Workshop entitled "Stochastic models of hydrological processes and their applications to problems of environmental preservation" convened in Moscow over the period 23-27 November 1998. The Workshop was unique in providing the first opportunity for over a decade for countries of the Russian Federation to interact with other countries across the world to discuss hydrological science issues relevant to environmental management. The contrasting schools of thought within the Russian Federation and with other countries proved a fascinating and valuable experience for those fortunate enough to attend. The scientific content of the Workshop was motivated by a number of concerns. Water is a key natural resource whose modelling and management is made complex by its inherent spatial unevenness and time variability. Traditional methods for investigating hydrological processes in nature employ stochastic modelling and forecasting. However these are not well developed with regard to (i) representing the characteristics of hydrological regimes, and (ii) investigating the influence of water factors on processes which arise in b
出版日期Book 2002
关键词Environmental Management; Groundwater; development; digital elevation model; hydrology; hydrogeology
版次1
doihttps://doi.org/10.1007/978-94-010-0470-1
isbn_softcover978-1-4020-0911-2
isbn_ebook978-94-010-0470-1Series ISSN 1389-1839
issn_series 1389-1839
copyrightSpringer Science+Business Media Dordrecht 2002
The information of publication is updating

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On the Distribution of the Maximum of a Random Sample maximum ... Solving the second problem a threshold t, is derived that determines the upper half of the .. — distribution. An approximation of the distribution function .(.) can be facilitated if its range is restricted to .>...
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A Study of the Synchronicity of Annual Runoff Fluctuations statistical parameters of time series and their adjustment to the long-term periods, b) evaluation of the spatial correlation in data as a factor for reducing the reliability of maps and empirical dependencies; and c) estimation of the effect of runoff asynchronicity on the common operation of large hydropower and other water use systems.
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Geophysical Time Series and Climatic Changennotation of climate change was ‘control’ rather than ‘inadvertent byproduct’. Climate change was the aim, was seen as an instrument for bettering the human condition, and sometimes was exalted as the ultimate triumph of technology and the human genius.
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On the Development of the Stochastic Approach in Hydrologycessary to prove that application of statistical methods for studying natural phenomena, especially in hydrometeorology, is quite fruitful. Techniques of mathematical statistics are among the main methods in this field.
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