Evaluation of aquifer heterogeneity effects on river flow loss using a transition probability framework

Water Resources Research

Volumn 46, Issue 1, 2010, Pages

  Engdahl, Nicholas B ^a,b   Vogler, Eric T ^a   Weissmann, Gary S ^c  

^a U S GEOLOGICAL SURVEY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF NEW MEXICO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALBUQUERQUE , NEW MEXICO; AQUIFER HETEROGENEITY; DRILL CORE; GEOSTATISTICAL; GROUNDWATER HEADS; HETEROGENEITY EFFECTS; HETEROGENEOUS MODELS; HOMOGENEOUS MODELS; RIO GRANDE; RIVER CHANNELS; RIVER FLOW; RMS ERRORS; ROOT-MEAN-SQUARE ERRORS; SCALE MODELS; SIMULATION RESULT; SURVEY DATA; TRANSITION PROBABILITIES;

AQUIFERS; CORE DRILLING; GROUNDWATER RESOURCES; HYDROGEOLOGY; INSTRUMENT SCALES; VOLCANIC ROCKS;

RIVERS;

AQUIFER; GEOSTATISTICS; HETEROGENEITY; HYDROLOGICAL MODELING; RIVER CHANNEL; RIVER FLOW; SIMULATION; STATISTICAL ANALYSIS; WETLAND;

RIO GRANDE [NORTH AMERICA];

EID: 76149107163     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009WR007903     Document Type: Article

References (22)

1. Atterberg, A. (1905), Die rationale Klassifikation der Sande und Kiese, Chem. Ztg., 29, 195-198.
2. Atterberg, A. (1912), Die Konsistenz und die Bindigheit der Boden, Int. Mitt. Bodenkunde., 2, 148-189.
3. Carsel, R. F., and R. S. Parrish (1988), Developing joint probability distributions of soil water retention characteristics, Water Resour. Res., 24, 755-769, doi:10.1029/WR024i005p00755.
4. Davis, R. O. E., and H. H. Bennett (1927), Grouping of soils on the basis of mechanical analysis, Dep. Circ. 419, U.S. Dep. of Agric., Washington, D. C.
5. Dirksen, C., and S. Matula (1994), Automated atomized water spray system for soil hydraulic conductivity measurements, Soil Sci. Soc. Am. J., 58, 319-325.
6. Hartigan, J. A., and M. A. Wong (1979), A k-means clustering algorithm, Appl. Stat., 28(1), 100-108, doi:10.2307/2346830.
7. MacQueen, J. B. (1967), Some methods for classification and analysis of multivariate observations, in Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, vol.1, pp. 281- 297, Univ. of Calif. Press, Berkeley.
8. Minasny, B., J. W. Hopmans, T. H. Harter, A. M. Tuli, S. O. Eching, and D. A. Denton (2004), Neural network prediction of soil hydraulic functions for alluvial soils using multi-step outflow data, Soil Sci. Soc. Am. J., 68, 417-429.
9. National Resources Conservation Service (NRCS) (1975), Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys, U.S. Dep. Agric. Handb., vol.436, 754 pp., U.S. Gov. Print. Off., Washington, D. C.
10. Pachepsky, Y. A., and W. J. Rawls (2004), Development of Pedotransfer Functions in Soil Hydrology, Dev. Soil Sci., vol.30, Elsevier, Amsterdam.
11. Rawls, W. J., D. L. Brakensiek, and K. E. Saxton (1982), Estimation of soil water properties, Trans. ASAE, 25(5), 1316-1320.
12. Richards, L. A. (1931), Capillary conduction of liquids through porous media, Physics, 1, 318-333, doi:10.1063/1.1745010.
13. Richards, L. A., and L. R. Weaver (1944), Moisture retention by some irrigated soils as related to soil moisture tension, J. Agric. Res., 69, 215-235.
14. Schaap, M. G., and F. J. Leij (1998), Database-related accuracy and uncertainty of pedotransfer functions, Soil Sci., 163, 765- 779, doi:10.1097/ 00010694-199810000-199900001
15. Schaap, M. G., F. J. Leij, and M. T. van Genuchten (2001), ROSETTA: A computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions, J. Hydrol., 251(3 -4), 163-176, doi:10.1016/S0022- 1694(01)00466-8. S ?
16. imu°nek, J., M. T. Van Genuchten, and M. S Ejna (2005), The HYDRUS-1D software package for simulating the movement of water, heat, and multiple solutes in variably saturated media, version 3.0, HYDRUS Software Ser. 1, Dep. of Environ. Sci., Univ. of Calif., Riverside.
17. Skaggs, T. H., L. M. Arya, P. J. Shouse, and B. P. Mohanty (2001), Estimating particle-size distribution from limited soil texture data, Soil Sci. Soc. Am. J., 65, 1038-1044.
18. Soil Survey Staff (1951), Soil Survey Manual, U.S. Dep. Agric. Handb., vol.18, 503 pp., U.S. Gov. Print. Off., Washington, D. C.
19. Twarakavi, N. K. C., M. Sakai, and J. S Simu°nek (2009), An objective study of the dynamic nature of field capacity, Water Resour. Res., 45, W10410, doi:10.1029/2009WR007944.
20. Van Genuchten, M. T. (1980), A closed-form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44(5), 892-898.
21. Wösten, J. H. M., P. A. Finke, and M. J. W. Jansen (1995), Comparison of class and continuous pedotransfer functions to generate soil hydraulic characteristics, Geoderma, 66, 227-237, doi:10.1016/0016-7061(94) 00079-P.
22. Wösten, J. H. M., Y. A. Pachepsky, and W. J. Rawls (2001), Pedotransfer functions: Bridging the gap between available basic soil data and missing soil hydraulic characteristics, J. Hydrol., 251, 123 - 150, doi:10.1016/ S0022-1694(01)00464-474