Effective Parameters of Hydrogeological Models (SpringerBriefs in Earth Sciences)
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Other books tell readers what to do, but sometimes fail to explain why — Brindley gives readers hands-on confidence in addition to real scientific knowledge, and insight into the principles as well as the practice. All written explanations and steps are supplemented with numerous photos, charts, tables and graphs. Concepts and practical aspects are explained thoroughly with mathematical formulae and technical schematic drawings.
Effective Parameters of Hydrogeological Models - Vikenti Gorokhovski - Google книги
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Aimed at people who enjoy books on business strategy, popular science and novel technology, Fabricated will provide readers with practical and imaginative insights to the question 'how will this technology change my life? Account Options Ingia. Chati Maarufu. Geological models used in predictive hydrogeological modeling are not exact replicas of the objects they represent: many details related to structures and properties of the objects remain unknown.
Those details may considerably affect simulation results. A provable evaluation of the uncertainty of hydrogeological and solute transport simulations are almost impossible. In this book the author describes how to obtain the best-possible results in simulations, based on the available data and predefined criteria that are turned into transforming mechanisms. The latter are mathematical expressions for evaluating model parameters supporting effective simulations.
Examples of the mechanisms as well as methods of their evaluation are provided in this book. It is also shown how these mechanisms can be used for the interpretation of hydrogeological data. The first edition of this book was published in the series Springer Briefs in Earth Sciences. Ukaguzi Sera ya Maoni.
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Oscar Castro-Orgaz. This book provides essential information on the higher mathematical level of approximation over the gradually varied flow theory, also referred to as the Boussinesq-type theory. In this context, it presents higher order flow equations, together with their applications in a broad range of pertinent engineering and environmental problems, including open channel, groundwater, and granular material flows.
Hydraulic Structures. Fair criticism and support of my friends and colleagues, B. Borevsky, M. Oyzerman, M. Rats, and V.
Transformation of Geological Objects’ Properties into Effective Model Parameters
Trofimov helped me in the development of the two-level modeling approach. I cannot but mention V. Sedletsky without whom the probability of my coming to the United States and writing this book had been extremely low. This book would be impossible without Dr. Zia Hosseinipour who found a project for me in this country and helped, as well as our dear friends Mr. Donald and Karen Goodel, to get and to settle me and my wife here.
I thank and value my American supervisors, Drs. They were kind to let me apply my strange approaches to the problems they assigned to me. I thank my sons Vikenti and Iaroslav for their support and help. And of course, this endeavor would be impossible without support, help and endurance of my beloved wife Inna. References Beck MB Water quality modeling: a review of the analysis of uncertainty.
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WRR 23 8 — Beven K Prophecy, reality and uncertainty in distributed hydrogeological modeling. Hydrol Process — Beven K On the concept of model structural error. Hydrogeol Process — Ch S, Mathur S Modeling uncertainty analysis in flow and solute transport model using adaptive neuro fuzzy inference system and particle swarm optimization. J Civil Eng 14 6 — Feyen L, Caers J Quantifying geological uncertainty for flow and transport modeling in multi-modal heterogeneous formations.
Adv Water Res — Gorokhovski VM Mathematical methods and reliability of hydrogeological and engineering geological predictions Vfntvfnbxtcrbt vtnjls b ljcnjdthyjcnm ublhjutjkjubxtcrb[ b by;tythyj-utjkjubxtcrb[ ghjuyjpjd. Science — 4 February Oreskes N The role of quantitative models in science. Environmental science and policy. Stock Environ Res Risk Assess — Zhang K, Achari G, Li H A comparison of numerical solutions of partial differential equations with probabilistic and possibilistic parameters for the quantification of uncertainy in subsurface solute transport.
No endorsement of federal government, any state and local government, any company and organization is intended or should be inferred. Contents 1 Introduction. Properties of Transforming Mechanisms. Examples of Linear Transforming Mechanisms. Examples of Nonlinear Transforming Mechanisms. Abstract Effective Parameters of Hydrogeological Models Geological models applied in predictive hydrogeological modeling are not exact replicas of the objects they represent.
Manifold of details related to structures and properties of the objects remains unknown. Those details affect the simulation results considerably, differently and unpredictably for different formulations of the simulation problem. They cause the phenomenon of problem-dependence of model identification and make the model parameters effective in calibration ineffective in predictive simulations.
Due to them the provable evaluation of uncertainty of the simulation results is impossible. However this does not preclude obtaining the best, effective, simulation results based on the available data and predefined criteria of quality of predicting. To provide such results, transforming mechanisms are introduced. They are mathematical expressions for evaluating the model parameters which are effective in predictive simulations. Examples of the mechanisms are provided as well as a method for their evaluations. Shown also how the mechanisms can be used for interpretation hydrogeological data which is possible due to the mention above phenomenon of the problem-dependence.
In his last chapter author compares the conditions under which he worked in the Soviet Union 35 years and in the United States 20 years which may be interesting for readers.
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For example, when developing a reservoir project, the developers have to evaluate possible losses of water from the reservoir, the stability of the dam, and how adjacent soils and rocks could be affected by different project decisions. Hydrogeological investigations related to the use of an aquifer for water supply should not only conclude that the usage is possible.
The developers must also have estimates on how long and with what intensity the aquifer can be exploited by a well or group of wells. The developers of a landfill project must know whether the landfill can cause contamination of the aquifer below and, if so, whether and when the contaminant plume will reach 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.
The point is that, for projects that affect the geological surroundings to be effective environmentally and economically, the responses of the surroundings to the planning impacts must be taken into consideration. To this end, the goal of applied hydrogeological investigations is to provide quantitative predictions of those responses. Moreover, to make a correct or optimal decision, decision-makers must know the errors of the quantitative predictions. The usual tool for obtaining quantitative hydrogeological predictions is mathematical modeling, i.