A bimodal four-parameter lognormal linear model of soil water repellency persistence
✍ Scribed by C. M. Regalado; A. Ritter
- Book ID
- 102863033
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 579 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0885-6087
- DOI
- 10.1002/hyp.7226
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✦ Synopsis
Abstract
Soil water repellency may be characterized in terms of the delayed infiltration time of a water droplet resting on the soil surface, which is, water drop penetration time (WDPT), or repellency persistence. Such repellency persistence varies nonlinearly with soil water content (θ~g~), although no models have been proposed to reproduce the variation of WDPT with θ~g~ in soils. Dynamic factor analysis (DFA) is used to identify two common patterns of unexplained variability in a scattered dataset of WDPT versus θ~g~ measurements. A four‐parameter lognormal distribution was fitted to both common patterns obtained by DFA, and these were combined additively in a weighted multiple linear bimodal model. We show how such an empirical model is capable of reproducing a large variety of WDPT versus θ~g~ curve shapes (N = 80) both within a wide range of measured WDPTs (0–17 000 s) and for samples with organic matter content ranging from 21·7 to 80·6 g (100 g)^−1^. Copyright © 2009 John Wiley & Sons, Ltd.