The problem of assessing the validity and value of prognostic survival models presented in the literature for a particular population for which some data has been collected is discussed. Methods are sketched to perform validation through 'calibration', that is by embedding the literature model in a
Calibration and validation of a general infiltration model
โ Scribed by Surendra Kumar Mishra; Shashi Ranjan Kumar; Vijay P. Singh
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 518 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0885-6087
No coin nor oath required. For personal study only.
โฆ Synopsis
A general inยฎltration model proposed by Singh and Yu (1990) was calibrated and validated using a split sampling approach for 191 sets of inยฎltration data observed in the states of Minnesota and Georgia in the USA. Of the ยฎve model parameters, f c (the ยฎnal inยฎltration rate), S o (the available storage space) and exponent `n' were found to be more predictable than the other two parameters: m (exponent) and a ( proportionality factor). A critical examination of the general model revealed that it is related to the Soil Conservation Service (1956) curve number (SCS-CN) method and its parameter S o is equivalent to the potential maximum retention of the SCS-CN method and is, in turn, found to be a function of soil sorptivity and hydraulic conductivity. The general model was found to describe inยฎltration rate with time varying curve number.
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