지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 944 - 958 (15page)
이용수
초록· 키워드
오류제보하기
Soil hydraulic properties such as hydraulic conductivity or water retention which are costly to measure can be indirectly generated by soil pedotransfer function (PTF) using easily obtainable soil data. The field soil structure description which is routinely recorded could also be used in PTF as an input to reduce the uncertainty. The purposes of this study were to use qualitative morphological soil structure descriptions and soil structural index into PTF and to evaluate their contribution in the prediction of soil hydraulic properties. We transformed categorical morphological descriptions of soil structure into quantitative values using categorical principal component analysis (CATPCA). This approach was tested with a large data set from the US National Pedon Characterization database with the aid of a categorical regression tree analysis. Six different PTFs were used to predict the saturated hydraulic conductivity and those results were averaged to quantify the uncertainty. Quantified morphological description was successively used in multiple linear regression approach to predict the averaged ensemble saturated conductivity. The selected stepwise regression model with only the transformed morphological variables and structural index as predictors predicted the Ksat with r<sup>2</sup> = 0.48 (p = 0.018), indicating the feasibility of CATPCA approach. In a regression tree analysis, soil structure index and soil texture turned out to be important factors in the prediction of the hydraulic properties. Among structural descriptions size class turned out to be an important grouping parameter in the regression tree. Bulk density, clay content, W33 and structural index explained clusters selected by a two step clustering technique, implying the morphologically described soil structural features are closely related to soil physical as well as hydraulic properties. Although this study provided relatively new method which related soil structure description to soil structure index, the same approach should be tested using a datasets containing the actual measurement of hydraulic properties. More insight on the predictive power of soil structure index to estimate hydraulic properties would be achieved by considering measured the saturated hydraulic conductivity and the soil water retention.
목차
Introduction
Materials and Methods
Results and Discussion
Conclusions
References
참고문헌 (40)
참고문헌 신청
Bouma, J / 1997 / Water movement through pedal soils. I. Saturated flow / Soil Sci. Soc. Am. J 41:413~418
Brakensiek, D.L. / 1984 / Modifying SCS hydrologic soil groups and curve numbers for rangeland soils
Calero, J. / 2008 / Transformation of categorical field soil morphological properties into numerical properties for the study of chronosequences / Geoderma 145:278~287
Chan, T.P. / 2004 / Estimating soil water retention curve from particle-size distribution data based on polydisperse sphere systems / Vadose Zone J 3(4):1443~1454
El-Baz / 2004 / Efficiency of composite sampling for estimating a lognormal distribution / Environ.Ecol.Stat 11:283~294
Brakensiek, D.L. / 1984 / Modifying SCS hydrologic soil groups and curve numbers for rangeland soils
Calero, J. / 2008 / Transformation of categorical field soil morphological properties into numerical properties for the study of chronosequences / Geoderma 145:278~287
Chan, T.P. / 2004 / Estimating soil water retention curve from particle-size distribution data based on polydisperse sphere systems / Vadose Zone J 3(4):1443~1454
El-Baz / 2004 / Efficiency of composite sampling for estimating a lognormal distribution / Environ.Ecol.Stat 11:283~294
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UCI(KEPA) : I410-ECN-0101-2014-521-000825546