A soil water repellency empirical model

Vadose Zone Journal

Volumn 8, Issue 1, 2009, Pages 136-141

  Regalado, Carlos M ^a   Ritier, Axel ^a  

^a INSTITUTO CANARIO DE INVESTIGACIONES AGRARIAS   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; DATA SET; EMPIRICAL ANALYSIS; ETHANOL; FACTOR ANALYSIS; NUMERICAL MODEL; ORGANIC MATTER; SOIL WATER; WATER CONTENT;

EID: 62149123685     PISSN: None     EISSN: 15391663     Source Type: Journal    
DOI: 10.2136/vzj2008.0097     Document Type: Article

References (33)

1. Akaike, H. 1974. A new look at the statistical model identification. IEEE Trans. Automat. Control 19:716-723.
2. Bachmann, J., M. Deurer, and G. Arye. 2007. Modeling water movement in heterogeneous water-repellent soil: 1. Development of a contact angle-dependent water-retention model. Vadose Zone J. 6:436-445.
3. de Jonge, L.W., O.H. Jacobsen, and P. Moldrup. 1999. Soil water repellency: Effects of water content, temperature, and particle size. Soil Sci. Soc. Am. J. 63:437-442.
4. de Jonge, L.W., P. Moldrup, and O.H. Jacobsen. 2007. Soil-water content dependency of water repellency in soils: Effect of crop type, soil management, and physical-chemical parameters. Soil Sci. 172:577-588.
5. Dempster, A.P., N.M. Laird, and D.B. Rubin. 1977. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B 39:1-38.
6. Doerr, S.H., L.W. Dekker, C.J. Ritsema, R.A. Shakesby, and R. Bryant. 2002. Water repellency of soils: The influence of ambient relative humidity. Soil Sci. Soc. Am. J. 66:401-405.
7. Doerr, S.H., and A.D. Thomas. 2000. The role of soil moisture in controlling water repellency: New evidence from forest soils in Portugal. J. Hydrol. 231-232:134-147.
8. Geweke, J.F. 1977. The dynamic factor analysis of economic time series models. p. 365-382. In D.J. Aigner and A.S. Goldberger (ed.) Latent variables in socio-economic models. North-Holland, Amsterdam.
9. Goebel, M.-O., J. Bachmann, S.K. Woche, W.R. Fischer, and R. Horton. 2004. Water potential and aggregate size effects on contact angle and surface energy. Soil Sci. Soc. Am. J. 68:383-393.
10. Harvey, A.C. 1989. Forecasting, structural time series models and the Kalman filter. Cambridge Univ. Press, New York.
11. Kawamoto, K., P. Moldrup, T. Komatsu, L.W. de Jonge, and M. Oda. 2007. Water repellency of aggregate-size fractions of a volcanic ash soil. Soil Sci. Soc. Am. J. 71:1658-1666.
12. King, P.M. 1981. Comparison of methods for measuring severity of water repellence of sandy soils and assessment of some factors that affect its measurement. Aust. J. Soil Res. 19:275-285.
13. Lütkepohl, H. 1991. Introduction to multiple time series analysis. Springer-Verlag, Berlin.
14. Miller, E.E., and R.D. Miller. 1956. Physical theory of capillary flow phenomena. J. Appl. Phys. 27:324-332.
15. Muñoz-Carpena, R., A. Ritter, and Y.C. Li. 2005. Dynamic factor analysis of groundwater quality trends in an agricultural area adjacent to Everglades National Park. J. Contam. Hydrol. 80:49-70.
16. Nash, J.E., and J.V. Sutcliffe. 1970. River flow forecasting through conceptual models. Part 1. A discussion of principles. J. Hydrol. 10:282-290.
17. Pachepsky, Ya., J.W. Crawford, and W.J. Rawls (ed.). 2000. Fractals in soil science. Dev. Soil Sci. 27. Elsevier Science, Amsterdam.
18. Pachepsky, Ya., D.E. Radcliffe, and H.M. Selim (ed.). 2003. Scaling methods in soil physics. CRC Press, Boca Raton, FL.
19. Regalado, C.M. 2005. On the distribution of scaling hydraulic parameters in a spatially anisotropic banana field. J. Hydrol. 307:112-125.
20. Regalado, C.M., and A. Ritter. 2005. Characterizing water dependent soil repellency with minimal parameter requirement. Soil Sci. Soc. Am. J. 69:1955-1966.
21. Ritter, A., and R. Muñoz-Carpena. 2006. Dynamic factor modeling of ground and surface water levels in an agricultural area adjacent to Everglades National Park. J. Hydrol. 317:340-354.
22. Ritter, A., R. Muñoz-Carpena, D.D. Bosch, B. Schaffer, and T.L. Potter. 2007. Agricultural land use and hydrology affect variability of shallow groundwater nitrate concentration in South Florida. Hydrol. Processes 21:2464-2473.
23. Roberts, F.J., and B.A. Carbon. 1971. Water repellence in sandy soils of southwestern Australia: II. Some chemical characteristics of the hydrophobic skins. Aust. J. Soil Res. 10:35-42.
24. Roy, J.L., and W.B. McGill. 2002. Assessing soil water repellency using the molarity of ethanol droplet (MED) test. Soil Sci. 167:83-97.
25. Russo, D., and E. Bresler. 1980. Scaling soil hydraulic properties of a heterogeneous field. Soil Sci. Soc. Am. J. 44:681-684.
26. Shumway, R.H., and D.S. Stoffer. 1982. An approach to time series smoothing and forecasting using the EM algorithm. J. Time Ser. Anal. 3:253-264.
27. Wallis, M.G., D.J. Horne, and K.W. McAuliffe. 1990. A study of water repellency and its amelioration in a yellow brown sand: 1. Severity of water repellency and the effects of wetting and abrasion. N.Z. J. Agric. Res. 3:139-144.
28. Warrick, A.W. 1990. Application of scaling to the characterization of spatial variability in soils. p. 39-51. In D. Hillel and D.E. Elrick (ed.) Scaling in soil physics: Principles and applications. SSSA Spec. Publ. 25. SSSA, Madison, WI.
29. Warrick, A.W., G.J. Mullen, and D.R. Nielsen. 1977. Scaling field-measured soil hydraulic properties using a similar media concept. Water Resour. Res. 13:355-362.
30. Wu, L.S.-Y., J.S. Pai, and J.R.M. Hosking. 1996. An algorithm for estimating parameters of state-space models. Stat. Prob. Lett. 28:99-106.
31. Zuur, A.F., R.J. Fryer, I.T. Jolliffe, R. Dekker, and J.J. Beukema. 2003. Estimating common trends in multivariate time series using dynamic factor analysis. Environmetrics 14:665-685.
32. Zuur, A.F., E.N. Ieno, and G.M. Smith. 2007. Analysing ecological data. Springer-Verlag, Berlin.
33. Zuur, A.F., and G.J. Pierce. 2004. Common trends in Northeast Atlantic squid time series. J. Sea Res. 52:57-72.