Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chris B. M. te Stroet"'
Publikováno v:
Mathematical Geology. 37:635-649
Interpolating geo-data with curvilinear structures using geostatistics is often disappointing. Channels, for example, become disconnected sets of lakes when interpolated from point data. In order to improve the interpolation of geological structures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd556d3eb66f647f0ffe034c85d253a6
https://doi.org/10.1007/s11004-005-7310-y
https://doi.org/10.1007/s11004-005-7310-y
Publikováno v:
Water Resources Research. 36:949-957
A stochastic approach is adopted for characterizing the uncertainty in time-related well capture zones in heterogeneous formations. Transmissivity is modeled as a random space function, conditioned on regular grids of evenly distributed transmissivit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8394b2db76dcb30e152668f40362f443
https://doi.org/10.1029/1999wr900359
https://doi.org/10.1029/1999wr900359
Publikováno v:
Ground Water. 37:8-17
A spatial stochastic approach was adopted to estimate the capture zones of a welifield in eastern Netherlands near the town of Wierden. The main sources of uncertainty were found to be the hydraulic conductivity of the production aquifer and the spat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffd91d9d9889c2cae2a74173860a1012
https://doi.org/10.1111/j.1745-6584.1999.tb00951.x
https://doi.org/10.1111/j.1745-6584.1999.tb00951.x
Publikováno v:
Water Resources Research. 34:2215-2223
A stochastic approach is adopted for characterizing the uncertainty in well capture zones in heterogeneous formations. Transmissivity is modeled as a random space function and a Monte Carlo approach is used to infer the probability distribution of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::405a9b92c916ef4c648c343844fcb995
https://doi.org/10.1029/98wr01552
https://doi.org/10.1029/98wr01552
Publikováno v:
Water Resources Research. 27:1987-1994
Deterministic models are widely used to describe the behavior of the hydraulic head in time and space. It would be useful to know the uncertainty of these approximations of reality, what data on groundwater head they require and whether these data ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58cd9c13bb55af9b4de6d15bb478bf0e
https://doi.org/10.1029/91wr00509
https://doi.org/10.1029/91wr00509
Publikováno v:
Water Resources Research. 27:1995-2006
Integrating Kalman filtering and a deterministic groundwater flow model not only improves and quantifies the uncertainty of numerical groundwater simulation, but also provides the dynamic relation between the variance of the estimation error and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c2b4b4314fedcb36a94d03750b44e32
https://doi.org/10.1029/91wr00510
https://doi.org/10.1029/91wr00510
Publikováno v:
Water Resources Research. 40
Groundwater inverse problems are concerned with the estimation of uncertain model parameters, such as hydraulic conductivity, from field or laboratory measurements. In practice, model and measurement errors compromise the ability of inverse procedure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d038fee8c4d7658e07389d5dcef98158
https://doi.org/10.1029/2003wr002922
https://doi.org/10.1029/2003wr002922
Publikováno v:
Water Resources Research. 39
[1] In this paper a methodology for the stochastic management of groundwater quality problems is presented. A stochastic algorithm to solve the coupled flow and mass transport inverse problem is combined with a stochastic management approach to desig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8584a4806da35d21db7f43cffe064881
https://doi.org/10.1029/2002wr001745
https://doi.org/10.1029/2002wr001745
Publikováno v:
geoENV I — Geostatistics for Environmental Applications ISBN: 9789048148615
A new inverse method for groundwater flow is presented which can optimize large scale inverse problems efficiently. All parameters, initial and boundary conditions and driving forces are allowed to vary in space, while boundary conditions and driving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcce6fe9cac13f548667f164afc12d2c
https://doi.org/10.1007/978-94-017-1675-8_2
https://doi.org/10.1007/978-94-017-1675-8_2
