000 | 03238nam a22005175i 4500 | ||
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001 | 978-3-030-15081-5 | ||
003 | DE-He213 | ||
005 | 20200812132341.0 | ||
007 | cr nn 008mamaa | ||
008 | 190531s2019 gw | s |||| 0|eng d | ||
020 |
_a9783030150815 _9978-3-030-15081-5 |
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024 | 7 |
_a10.1007/978-3-030-15081-5 _2doi |
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040 | _cCUS | ||
050 | 4 | _aQA273.A1-274.9 | |
050 | 4 | _aQA274-274.9 | |
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_aPBT _2bicssc |
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_aPBT _2thema |
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_aPBWL _2thema |
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082 | 0 | 4 |
_a519.2 _223 |
100 | 1 |
_aSuciu, Nicolae. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aDiffusion in Random Fields _h[electronic resource] : _bApplications to Transport in Groundwater / _cby Nicolae Suciu. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Birkhäuser, _c2019. |
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300 |
_aXIV, 262 p. 111 illus., 96 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aGeosystems Mathematics, _x2510-1544 |
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505 | 0 | _aIntroduction -- Preliminaries -- Stochastic simulations of diffusion processes -- Diffusion in random velocity fields -- Monte Carlo GRW simulations of passive transport in groundwater -- Probability and filtered density function approaches -- Model, scale, and measurement. | |
520 | _aThis book presents, in an accessible and self-consistent way, the theory of diffusion in random velocity fields, together with robust numerical simulation approaches. The focus is on transport processes in natural porous media, with applications to contaminant transport in groundwater. Starting from basic information on stochastic processes, more challenging issues are subsequently addressed, such as the correlation structure of the diffusion process in random fields, the relation between memory effects and ergodic properties, derivation and parameterizations of evolution equations for probability densities, and the relation between measurements and spatio-temporal upscaling. Written for readers with a background in applied mathematics, engineering, physics or geophysics, the book offers an essential basis for further research in the stochastic modeling of groundwater systems. | ||
650 | 0 | _aProbabilities. | |
650 | 0 | _aNumerical analysis. | |
650 | 0 | _aGeophysics. | |
650 | 1 | 4 |
_aProbability Theory and Stochastic Processes. _0https://scigraph.springernature.com/ontologies/product-market-codes/M27004 |
650 | 2 | 4 |
_aNumerical Analysis. _0https://scigraph.springernature.com/ontologies/product-market-codes/M14050 |
650 | 2 | 4 |
_aGeophysics/Geodesy. _0https://scigraph.springernature.com/ontologies/product-market-codes/G18009 |
650 | 2 | 4 |
_aGeophysics and Environmental Physics. _0https://scigraph.springernature.com/ontologies/product-market-codes/P32000 |
830 | 0 |
_aGeosystems Mathematics, _x2510-1544 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-15081-5 |
912 | _aZDB-2-SMA | ||
912 | _aZDB-2-SXMS | ||
942 | _cEBK | ||
999 |
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