基于土壤理化性质估计土壤水分特征曲线Van Genuchten模型参数
Parameter Estimation of SoilWater Retention Curve Based on Soil Physical and Chemical Properties of Van Genuchten Model
查看参考文献20篇
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文摘
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在东北黑土区采集了不同侵蚀强度黑土土样,测定其土壤水分、机械组成、有机质和容重等指标,利用Rosetta模型估计了Van Genuchten模型的参数,并将估算土壤水分与实测土壤水分对比,评价了选择不同土壤理化性质指标的模拟精度,及该方法对东北黑土的适宜性。结果表明:选择4个或6个土壤性质指标,尺度参数(α)和形状参数(n)的差异较大,采用6指标时,α增大,n减小。修正VG模型参数m与n的关系后,模型拟合精度明显提高,其中6指标的计算结果好于4指标,但拟合值偏大,需进一步较正。Rosetta模型适用于砂粒含量小于46%,粘粒含量大于28%的东北黑土。 |
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其他语种文摘
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The soil water retention curve (SWRC) is the basic parameter of soil hydraulics to study soil water movement and soil water balance, which is closely related to soil physical and chemical properties. But the parameters of model is difficult to estimate. In this study, black soil samples with different erosion intensity were collected in the black soil region of Northeast China, and soil moisture under 7 soil water suction, mechanical composition, organic matter and bulk density were measured. We used Rosetta model to estimate the parameters of Van Genuchten (VG) model and compared the estimated soil moisture with the measured soil moisture. And then the simulation accuracy of different soil physical and chemical indexes and the suitability of the method to the black soil in Northeast China were evaluated. The results showed that there had little effect for the residual water content (θr) and saturated water content (θ s) between 4 or 6 soil properties index, but had large difference for the scale parameter (α) and shape parameter (n). When the 6 indexes were used, shape parameter n decreased with the increased of scale parameter α. The relationship between the shape parameters m and n of the VG model was further modified, which improved the accuracy of model fitting obviously. The results of the 6 indexes were better than the 4 indexes. But the estimated values were different from the measured values and the estimated values were larger than the measured, which means soil moisture estimation need to be corrected according to the estimated value of relatively large degree. The fitting precision of Rosetta model for lightly and moderately erosion black soil was higher, and the precision of severely erosion black soil was lower. The model was suitable for sand content less than 46%, the clay content more than 28% of black soil in Northeast China. |
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来源
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地理科学
,2018,38(7):1189-1197 【核心库】
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DOI
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10.13249/j.cnki.sgs.2018.07.021
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关键词
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土壤水分特征曲线
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土壤理化性质
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黑土
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Rosetta模型
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Van Genuchten模型
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地址
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1.
北京师范大学地理科学学部, 北京, 100875
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水利部松辽水利委员会, 吉林, 长春, 130021
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-0690 |
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学科
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农业基础科学 |
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基金
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国家自然科学基金
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水利部公益性行业科研专项
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文献收藏号
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CSCD:6312247
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