Please use this identifier to cite or link to this item:
https://idr.l1.nitk.ac.in/jspui/handle/123456789/11308
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nandagiri, Lakshman | - |
dc.contributor.author | Prasad, R. | - |
dc.date.accessioned | 2020-03-31T08:31:05Z | - |
dc.date.available | 2020-03-31T08:31:05Z | - |
dc.date.issued | 1996 | - |
dc.identifier.citation | Journal of Hydrology, 1996, Vol.179, 43922, pp.197-205 | en_US |
dc.identifier.uri | https://idr.nitk.ac.in/jspui/handle/123456789/11308 | - |
dc.description.abstract | Predictions of two popular closed-form models for unsaturated hydraulic conductivity (K) are compared with in situ measurements made in a sandy loam field soil. Whereas the Van Genuchten model estimates were very close to field measured values, the Brooks-Corey model predictions were higher by about one order of magnitude in the wetter range. Estimation of parameters of the Van Genuchten soil moisture characteristic (SMC) equation, however, involves the use of non-linear regression techniques. The Brooks-Corey SMC equation has the advantage of being amenable to application of linear regression techniques for estimation of its parameters from retention data. A conversion technique, whereby known Brooks-Corey model parameters may be converted into Van Genuchten model parameters, is formulated. The proposed conversion algorithm may be used to obtain the parameters of the preferred Van Genuchten model from in situ retention data, without the use of non-linear regression techniques. | en_US |
dc.title | Field evaluation of unsaturated hydraulic conductivity models and parameter estimation from retention data | en_US |
dc.type | Article | en_US |
Appears in Collections: | 1. Journal Articles |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.