DOI: 10.5194/hess-18-4053-2014
Scopus记录号: 2-s2.0-84907999778
论文题名: Predicting the soil moisture retention curve, from soil particle size distribution and bulk density data using a packing density scaling factor
作者: Meskini-Vishkaee F ; , Mohammadi M ; H ; , Vanclooster M
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 10 起始页码: 4053
结束页码: 4063
语种: 英语
Scopus关键词: Bulk density
; Packing density
; Soil moisture retentions
; bulk density
; database
; packing
; prediction
; size distribution
; soil moisture
英文摘要: A substantial number of models predicting the soil moisture characteristic curve (SMC) from particle size distribution (PSD) data underestimate the dry range of the SMC especially in soils with high clay and organic matter contents. In this study, we applied a continuous form of the PSD model to predict the SMC, and subsequently we developed a physically based scaling approach to reduce the model's bias at the dry range of the SMC. The soil particle packing density was considered as a metric of soil structure and used to define a soil particle packing scaling factor. This factor was subsequently integrated in the conceptual SMC prediction model. The model was tested on 82 soils, selected from the UNSODA database. The results show that the scaling approach properly estimates the SMC for all soil samples. In comparison to the original conceptual SMC model without scaling, the scaling approach improves the model estimations on average by 30%. Improvements were particularly significant for the fine- and medium-textured soils. Since the scaling approach is parsimonious and does not rely on additional empirical parameters, we conclude that this approach may be used for estimating SMC at the larger field scale from basic soil data. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78105
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Soil Science, Faculty of Agriculture, University of Zanjan, Zanjan, Iran; Earth and Life Institute, Environmental Sciences, Univ. Catholique de Louvain, Croix du Sud 2, Bte 2, Louvain-la-Neuve, Belgium
Recommended Citation:
Meskini-Vishkaee F,, Mohammadi M,H,et al. Predicting the soil moisture retention curve, from soil particle size distribution and bulk density data using a packing density scaling factor[J]. Hydrology and Earth System Sciences,2014-01-01,18(10)