Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/34642
標題: 不同土壤質地Arya and Paris模式參數之推估
Estimation the parameter in Arya and Paris model for different soil texture
作者: Lin, Chia-Yen
林佳燕
關鍵字: PTFs
土壤轉換函數
Arya and Paris Model
moisture retention curve
particle size distribution
Arya and Paris模式
水分特性曲線
粒徑分佈
出版社: 水土保持學系所
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(1980), A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J.44:892-898. 27.Vaz, C. M. P., M. D. F. Iossi, J. D. M. Naime, A. Macedo, J. M. Reichert, D. J. Reinert, and M. Cooper (2005), Validation of the Arya and Paris water retention model for Brazilian soils. Soil Sci. Soc. Am. J. 69:577-583. 28.Wu, L., J.A. Vomocil, and S.W. Childs (1990), Pore size, particle size, aggregate size, and water retention. Soil Sci. Soc. Am. J. 54:952–956. 29.Wösten, J. H. M., Y. A. Pachepsky, and W. J. Rawls (2001), Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics. Journal of Hydrology 251:123-150. 30.Zhuang, J., Y. Jin, and T. Miyazaki. 2001. Estimating water retention characteristic from soil particle-size distribution using a non-similar media concept. Soil Sci. 166:308–321.
摘要: 現今有學者提出以間接的方法,來模擬並推估土壤的水分特性,這些方法一般統稱為「土壤轉換函數(PTFs)」。本研究所使用的Arya and Paris Model即是 PTFs的其中一種模式。此模式主要是以土壤的粒徑分佈、總體密度及顆粒密度,三者來推估土壤水分特性,並且為一般預測土壤水分特性方法中較被接受的模式,因此選擇此模式作為研究的方法。 針對Arya and Paris模式使用上所需之土壤粒徑分佈資料來作試驗,經由模式之計算,即可推估出土壤水分含量及張力勢能,將所得的推估值與直接量測之實驗結果作對照以驗證模式的信賴度。並探討在不同土壤質地下Arya and Paris模式之適用參數α。 研究結果顯示,利用Arya and Paris模式來推估土壤水分特性,以黏質壤土、坋質黏土及黏土最佳,其次為壤土、砂質黏壤土及砂質壤土,而砂土則較差,其結果受到土壤粒徑大小分佈的影響。 本研究中Arya and Paris模式所得到之水分特性曲線經試誤法與壓力鍋排水實測值擬合後,得到砂土之α=1.35;砂質壤土之α=1.35~1.50;砂質黏壤土之α=2.11;壤土之α=1.40~2.0;黏質壤土之α=1.15~1.50;坋質黏土之α=1.16;黏土之α=1.30。
In recent years, some scholars suggested simulating and estimating the soil water characteristics by indirect methods. These are generally called“pedotransfer functions (PTFs).” In this study, the Arya and Paris Model (PTF) was used to estimate soil water characteristics from soil particle size distribution, bulk density, and particle density. The model was selected in this study because it has been used extensively for soil water characteristics estimation. According the Arya and Paris Model suggestion, the essential particle size distribution data were measured in this study. The soil water content and the matric potential can be compute by particle size distribution data. Estimated water content was compared with measured water content then evaluate their reliability. The suitable parameter in Arya and Paris Model was determined by seven soil texture. The result shows that Arya and Paris Model can obtain the best water characteristic curve in the clay, silt clay and clayey loam. Next is the loam, sandy clay loam and sandy loam. Latter is the sand. The parameters of the Arya and Paris Model are α=1.35; α=1.35~1.50; α=2.11; α=1.40~2.0; α=1.15~1.50; α=1.16; α=1.30 for sand, sandy loam, sandy clay loam, loam, clayey loam, silt clay, clay respectively in this study.
URI: http://hdl.handle.net/11455/34642
其他識別: U0005-0707200813274600
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