Equally likely inverse solutions to a groundwater flow problem including pattern information from remote sensing images

Water Resources Research

Volumn 44, Issue 1, 2008, Pages

  Hendricks Franssen, H J ^a   Brunner, P ^a,b   Makobo, P ^c   Kinzelbach, W ^a  

^a ETH ZURICH   (Switzerland)

^b FLINDERS UNIVERSITY   (Australia)

^c Department of Water Affairs ^*  (Botswana)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FLOW PATTERNS; MATHEMATICAL MODELS; MEASUREMENT THEORY; REMOTE SENSING;

COLOCATED COSIMULATION ALGORITHM; COSIMULATION ALGORITHM; TRANSMISSIVITY REALIZATIONS;

GROUNDWATER FLOW;

ALGORITHMS; FLOW PATTERNS; GROUNDWATER FLOW; MATHEMATICAL MODELS; MEASUREMENT THEORY; REMOTE SENSING;

ALGORITHM; DIGITAL ELEVATION MODEL; FLOW MODELING; GROUNDWATER FLOW; HYDROLOGICAL MODELING; METEOSAT; NOAA SATELLITE; RECHARGE; REMOTE SENSING; SATELLITE IMAGERY;

AFRICA; BOTSWANA; SOUTHERN AFRICA; SUB-SAHARAN AFRICA;

EID: 39749132818     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007WR006097     Document Type: Article

References (25)

1. Alcolea, A., J. Carrera, and A. Medina (2006), Pilot points method incorporating prior information for solving the groundwater flow inverse problem, Adv. Water Resour., 29, 1678-1689.
2. Almeida, A. S., and P. Frykman (1994), Geostatistical modeling of chalk properties in the Dan Field, Danish North Sea, in Stochastic Modeling and Geostatistics, Comput. Appl. Geol. Ser., vol. 3, edited by J. M. Yarus, and R. L. Chambers, Am. Assoc. of Pet. Geol., Tulsa, Okla.
3. Becker, M. W. (2006), Potential for satellite remote sensing of ground water, Ground Water, 44(2), 306-318.
4. Boni, G., D. Entekhabi, and F. Castelli (2001), Land data assimilation with satellite measurements for the estimation of surface energy balance components and surface control on evaporation, Water Resour. Res., 37(6), 1713-1722.
5. Brunner, P., P. Bauer, M. Eugster, and W. Kinzelbach (2004), Using remote sensing to regionalize local precipitation recharge rates obtained from the chloride method, J. Hydrol., 294, 241-250.
6. Brunner, P., H. J. Hendricks Franssen, L. Kgotlhang, P. Bauer-Gottwein, and W. Kinzelbach (2007), How can remote sensing contribute in groundwater modelling?, Hydrogeol. J., 15(1), 5-18.
7. Capilla, J., J. Rodrigo, and J. J. Gómez-Hernández (1999), Simulation of non-Gaussian transmissivity fields honoring piezometric data and integrating soft and secondary information, Math. Geol., 31(7), 907-927.
8. Crow, W. T., and E. F. Wood (2003), The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using ensemble Kaiman filtering: A case study based on ESTAR measurements during SGP97, Adv. Water Resour., 26, 137-149.
9. Dunne, S., and D. Entekhabi (2005), An ensemble-based reanalysis approach to land data assimilation, Water Resour. Res., 41, W02013, doi:10.1029/2004WR003449.
10. Gómez-Hernández, J. J., and A. G. Journel (1993), Joint sequential simulation of multi-Gaussian fields, in Geostatistics Tróia'92, volume 1, edited by A. Soares, pp. 85-94, Springer, New York.
11. Gómez-Hernández, J. J., A. Sahuquillo, and J. E. Capilla (1997), Stochastic simulation of transmissivity fields conditional to both transmissivity and piezometric data: 1. Theory, J. Hydrol., 203(1), 162-174.
12. Hendricks Franssen, H. J. (2001), Inverse stochastic modelling of groundwater flow and mass transport, Ph.D. thesis. Tech. Univ. of Valencia, Valencia, Spain.
13. Hendricks Franssen, H. J., F. Stauffer, and W. Kinzelbach (2004), Joint estimation of transmissivities and recharges - Application: Stochastic characterization of well capture zones, J. Hydrol., 294(1-3), 87-102.
14. Herman, A. V., B. Kumar, P. A. Arkin, and J. V. Kousky (1997), Objectively determined 10-day African rainfall estimates created for famine early warning systems, Int. J. Remote Sens., 18(10), 2147-2159.
15. Kowalsky, M. B., S. Finsterle, and Y. Rubin (2004), Estimating flow parameter distributions using ground-penetrating radar and hydrological measurements during transient flow in the vadose zone, Adv. Water Resour., 27, 583-599.
16. LaVenue, A. M., B. S. RamaRao, G. de Marsily, and M. G. Marietta (1995), Pilot point methodology for automated calibration of an ensemble of conditionally simulated transmissivity fields: 2. Application, Water Resour. Res., 31(3), 495-516.
17. Leduc, C., J. Bromley, and P. Schroeter (1997), Water table fluctuations and recharge in semi-arid climate: Some results of the HAPEX-Sahel hydrodynamic survey (Niger), J. Hydrol., 189(1-4), 123-138.
18. Lemer, D. N., A. S. Issar, and I. Simmers (1990), Groundwater Recharge, Int. Contrib. Hydrogeol., vol. 8, Heinz Heise, Hanover, Germany.
19. Margulis, S., D. McLaughlin, D. Entekhabi, and S. Dunne (2002), Land data assimilation and estimation of soil moisture using measurements from the South Great Plains 1997 Field Experiment, Water Resour. Res., 38(12), 1299, doi:10.1029/2001WR001114.
20. Oliver, D. S., L. B. Cunha, and A. C. Reynolds (1997), Markov Chain Monte Carlo methods for conditioning a permeability field to pressure data, Math. Geol., 29(1), 61-91.
21. Reichle, R. H., D. Entekhabi, and D. B. McLaughlin (2001), Downscaling of radio brightness measurements for soil moisture estimation: A four-dimensional variational data assimilation approach, Water Resour. Res., 37, 2353-2364.
22. Roerink, G. J., Z. Su, and M. Menenti (2000), S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance, Phys. Chem. Earth, Part B, 25(2), 147-157.
23. Scanlon, B. R., K. E. Keese, A. L. Flint, L. E. Flint, C. B. Gaye, W. M. Edmunds, and I. Simmers (2006), Global synthesis of groundwater recharge in semiarid and arid regions, Hydrol. Processes, 20(15), 3335-3370.
24. Seong, K., and Y. Rubin (1999), Field investigation of the Waste Isolatian Pilot Plant (WIPP) site (New Mexico) using a nonstationary stochaslic model with a trending hydraulic conductivity field, Water Resour. Res., 35(4), 1011-1018.
25. Stauffer, F., A. Guadagnini, A. Butler, H. J. Hendricks Franssen, N. van der Wiel, M. Bakr, M. Riva, and L. Guadagnini (2005), Delineation of source protection zones using statistical methods, Water Resour. Manage., 19, 163-185.