区域尺度土壤入渗参数空间变异性规律研究
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国家自然科学基金资助项目(51079121)、陕西省自然科学基金资助项目(2010JQ7010)、中国博士后科学基金资助项目、西安理工大学博士科研启动基金资助项目和陕西省重点学科建设资助项目


Spatial Variability of Infiltration Parameters at the Region Scales
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    摘要:

    以在杨凌区进行的土壤入渗试验为基础,利用标定理论、统计学与地统计学相结合的方法研究了Philip入渗公式的标定过程,以及标定因子的空间变异规律。研究结果表明:在研究区域内不同标定因子中αA标定的效果最优,可用αA对入渗曲线进行标定;利用统计学原理计算了不同置信水平和精度要求下入渗测点的合理取样数;采用ArcGIS软件对标定因子αA的空间变异规律进行了分析;建立了可根据易测定的土壤物理参数直接估算αA的土壤转换函数,并通过验证,其结果可较好地解决区域尺度内土壤入渗参数的点面转换问题。

    Abstract:

    Based on the infiltration experiments in Yangling district, the objective was to analyze the scaling process of Philip model. The spatial variation discipline of scaling factors was found out and the pedo-transfer function was established for estimating scaling factors. The study showed that the scaling of infiltration process based on αA was the best among different scaling factors in Yangling district. Therefore, the infiltration curves in the regional scale can be scaled with αA. Meanwhile, the reasonable sampling number was calculated under the different confidence levers and required precision. The spatial variation discipline of αA by ArcGIS software was analyzed, and the pedo-transfer function was established to estimate αA. Accuracy of the estimate αA was analyzed in terms of pedo-transfer function, the results suggested that it has feasible and reliable for estimating αA, which could be used to achieve the conversion of soil infiltration between point and region. 

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聂卫波,费良军,马孝义.区域尺度土壤入渗参数空间变异性规律研究[J].农业机械学报,2011,42(7):102-108. Nie Weibo, Fei Liangjun, Ma Xiaoyi. Spatial Variability of Infiltration Parameters at the Region Scales[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(7):102-108

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