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Titlebook: Effective Parameters of Hydrogeological Models; Vikenti Gorokhovski Book 20121st edition The Author(s) 2012 Effective parameters.Hydrogeol

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发表于 2025-3-21 18:47:18 | 显示全部楼层 |阅读模式
书目名称Effective Parameters of Hydrogeological Models
编辑Vikenti Gorokhovski
视频video
概述Numerous step-by-step tutorials help the reader to learn quickly.A special chapter on next generation.Flash introduces the reader to future applications.Includes ten tips on how to protect flash sites
丛书名称SpringerBriefs in Earth Sciences
图书封面Titlebook: Effective Parameters of Hydrogeological Models;  Vikenti Gorokhovski Book 20121st edition The Author(s) 2012 Effective parameters.Hydrogeol
描述Models of geological objects are tools for interpolation and extrapolation of available data in space and time continuously. Real structures of the objects are unknown, and their models and simulated results carry uncertainty which cannot be evaluated in a provable way. The real issue is obtaining effective predictions in a reasonably defined sense. This requires a knowledge of mechanisms that convert actual geological properties into effective model parameters. These mechanisms are introduced in the book. They reveal that effective parameters are not statistics but characteristics optimizing the system made up by geological surroundings, their models, predictive problem formulations, including mathematical models of the simulated processes, boundary conditions, monitoring networks, criteria of efficiency and even by time. Examples of evaluating and applying transformation for assigning effective parameters and solving inverse problems are presented.
出版日期Book 20121st edition
关键词Effective parameters; Hydrogeological model; Inverse problems; Transforming mechanisms; Underground flow
版次1
doihttps://doi.org/10.1007/978-3-642-23722-5
isbn_ebook978-3-642-23722-5Series ISSN 2191-5369 Series E-ISSN 2191-5377
issn_series 2191-5369
copyrightThe Author(s) 2012
The information of publication is updating

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Introduction,water supply wells and the concentration of the pollutant at the wells. The developers of an irrigation project need to know to what extent and how fast the water table rise should be expected, what consequences are possible, how to deal with them effectively, etc.
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https://doi.org/10.1007/978-3-476-05646-7ediction produced by the model with what actually occurred, only based on post audit, and that accurate results in the process of model calibration do not warrant that the model will predict accurately.
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,Ein Jahrhundert französischer Einfluss,ed successes and failures of decisions made based on results of the corresponding simulations. However, if such experience does not exist, the engineering approach fails to provide provable estimates for the uncertainty of the simulation results. The situation seems more complicated with the geostatistical approach.
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Book 20121st editionjects are unknown, and their models and simulated results carry uncertainty which cannot be evaluated in a provable way. The real issue is obtaining effective predictions in a reasonably defined sense. This requires a knowledge of mechanisms that convert actual geological properties into effective m
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Engineering Approach,ediction produced by the model with what actually occurred, only based on post audit, and that accurate results in the process of model calibration do not warrant that the model will predict accurately.
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