nach oben

Erschienen in:

2014 | OriginalPaper | Buchkapitel

3. Geostatistical Approach

verfasst von : Vikenti Gorokhovski

Erschienen in: Effective Parameters of Hydrogeological Models

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The situation with the deterministic approach to predictive simulations is transparent. It can provide evaluations of the uncertainty of the simulation results in some typical circumstances for which the engineering experience does exist. Those evaluations are of the statistical nature. They are based on observed successes and failures of the decisions made based on results of the corresponding simulations. However, if such experience does not exist, the engineering approach fails to provide the provable estimates for the uncertainty of the simulation results. The situation seems more complicated with the geostatistical approach.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Engineering Approach

Nächstes Kapitel Model Identification

Bear J (1972) Dynamics of fluid in porous media. Elsevier, New York, p 764

Beven K (1989) Changing ideas in hydrology—the case of physically-based models. J Hydrol 105:157–172 (Amsterdam)CrossRef

Beven K (2005) On the concept of model structural error. Water Sci Technol 52(6):167–175

Beven K, Freer J (2001) Equifinality, data assimilation, and uncertainty estimation in mechanistic modeling of complex environmental systems using the GLUE methodology. J Hydrol 249:11–29CrossRef

Bolotin VV (1969) Statistical methods in structural mechanics. Holden-Day, San-Francisco, p 240

Bondarik GK (1974) Fundamentals of the theory of variability of Geological Engineering properties of rocks (Ocнoвы Teopии Измeнчивocти Инжeнepнo-Гeoлoгичecкиx Cвoйcтв Гopныx Пopoд). Nedra, Moscow, in Russian, p 272

Borevsky BV, Samsonov BG, Yazvin LS (1973) Methodology of evaluating parameters of aquifers by pumping tests (Meтoдикa Oпpeдeлeния Пapaмeтepoв Boдoнocныx Гopизoнтoв пo Дaнным Oткaчeк). Nedra, Moscow, p 304 (in Russian)

Brown GO, Hsieh HT, Lucero DA (2000) Evaluation of laboratory dolomite core sample size using representative elementary volume concepts. WWR 36(5):1199–1207

Cooley RL (2004) A Theory for modeling ground-water flow in heterogeneous media. US Geological survey professional paper, Reston, 1679, p 220

Dagan G (1986) Statistical theory laboratory to formation, and formation to regional scale. WRR 22(9):109S–134S

Fisher RA (1935) The design of experiments. Oliver & Boyd, Edinburgh

Gentle JE (1985) Monte Carlo methods. In: Kots S, Johnson NL (eds) Encyclopedia of statistical sciences, vol 5. Wiley, New York, pp 612–617

Gnedenko BV (1963) The theory of probability. Chelsea, New York, p 471

Gomez-Hernandez JJ, Gorelick SM (1989) Effective groundwater model parameter values: influence of spatial variability of hydraulic conductivity, leakance, and recharge. WRR 25(3):405–419CrossRef

Gorokhovski VM (1977) Mathematical methods and reliability of hydrogeological and engineering geological predictions (Maтeмaтичecкиe мeтoды и дocтoвepнocть гидpoгeoлoгичecкиx и инжeнepнo-гeoлoгичecкиx пpoгнoзoв). Nedra, Moscow, p 77 (in Russian)

Gorokhovski VM (1996) Problem-Dependence of ground-water model identifications: Significance, extent, treatment, Ground Water, 34(3):461–469

Graham W, McLaughlin D (1989) Stochastic analysis of nonstationary subsurface solute transport. 1. Unconditional moments. WWR 25(2):215–232

Hornung U (1990) Parameter identification. In: Proceedings of the international symposium on water quality modeling of agricultural non-point sources, part 2, U.S. Department of agriculture, agriculture research service, ARS-81, 19–23 June 1988, pp 755–764

Isaaks EH, Srivastava RM (1989) An introduction to applied geostatistics. Oxford University Press, New York, 561p

Kendall MG (1959) Hiawatha designs an experiment. Am Stat 13:23–24

Kitandis PK (1997) Introduction to geostatistics: applications in hydrogeology. Cambridge University Press, Cambridge, 249 ppCrossRef

Kolomensky NV, Komarov IS (1964) Geological engineering (Инжeнepнaя Гeoлoгия). Vyshaja Shkola, Moscow, p 489, (in Russian) Morton A (1993)

McLaughlin D, Townley LR (1996) A reassessment of the groundwater inverse problem. WWR 32(5):1131–1161

Moore C, Doherty J (2006) The cost of uniqueness in groundwater model calibration. Adv Water Resour 29(4):605–623CrossRef

Morton A (1993) Mathematical models: questions of trustworthiness. Br. J Phil Sci 44:659–674CrossRef

Neuman SP, Orr S (1993) Prediction of steady state flow in nonuniform geologic media by conditional moments: exact nonlocal formalism, effective conductivities, and weak approximation. WWR 29(2):341–364

NRC (1990) National resource council, groundwater models: scientific and regulatory applications. National Academy Press, Washington, DC, p 320

Rats MV (1968) Heterogeneity of rocks and their physical properties (Heoднopoднocть Гopныx Пopoд и Иx Физичecкиe Cвoйcтвa). Nauka, Moscow, p 108 (in Russian)

Review (1990) Review of geostatistics in geohydrology I: basic Concepts. ASCE task committee on geostatistical techniques in hydrogeology. J Hydraulic Eng 116(5):612–632

Rozovsky LB,. Zelenin IP (1975) Geological-engineering predictions and modeling (Poзoвcкий Л.Б. и Зeлeнин И.П, Инжeнepнo-Гeoлoгичecкиe Пpoгнoзы и Moдeлиpoвaниe, Oдeccкий Гocyдapcтвeнный Унивepcитeт, Oдecca) (in Russian)

Shvidler MI (1963), Фильтpaциoнныe Teчeния в Heoднopoдныx Cpeдax, Гocтexиздaт Гocyдaтcтвeннoe Издaтeльcтвo Hayчнoй и Texничecкoй Литepaтypы пo Heфти и Mинepaльнoй Toпливнoй Пpoмышлeннocти, Mocквa, 110 c. (in Russian)

Shvidler MI (1964) Filtration flows in heterogeneous media (a statistical approach). Consultants Bureau Enterprises, Inc., New York, USA, 104 p. (Translation from Russian, see Shvidler, 1963)

van Genuchten MT, Gorelick SM, Yeh WW-G (1990) Application of parameter estimation technique to solute transport studies. In: Proceedings of the international symposium on water quality modeling of agricultural non-point sources, part 2. US Department of agriculture, agriculture research service, ARS-81, 19–23 June 1988, pp 731–753

Yeh WW-G (1986) Review of parameter identification procedures in ground water hydrology: the inverse problem. WWR 22(2):95–108

Yeh WW-G, Yoon YS (1981) Aquifer parameter identification with optimum dimension in parameterization. WRR 17(3):664–672CrossRef

Yule GU, Kendall MG (1950) An introduction to the theory of statistics, 14h edn. Hafner, New York, 701p

Zimmermann DA, de Marsily G, Gotway CA, Marrietta MG, Axness CL, Beauheim RL, Bras RL, Carrera J, Dagan G, Davies PB, Gallegos DP, Gally A, Gomez-Hernandez J, Grindrod P, Gutjahr AL, Kitanidis PK, Lavenue AM, McLaughlin D, Neuman SP, RamaRao BS, Ravenne C, Rubin Y (1998) A comparison of seven geostatistically based inverse approaches to estimate transmissivity for modeling adjective transport by groundwater flow. WRR 34(6):1373–1413CrossRef

Titel: Geostatistical Approach
verfasst von: Vikenti Gorokhovski
Verlag: Springer International Publishing
Buch: Effective Parameters of Hydrogeological Models
Print ISBN: 978-3-319-03568-0

Electronic ISBN: 978-3-319-03569-7

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-03569-7_3