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基于GPS与GE的土壤水力参数空间变异采样间距确定
引用本文:王卫华,王全九.基于GPS与GE的土壤水力参数空间变异采样间距确定[J].农业机械学报,2014,45(3):97-100.
作者姓名:王卫华  王全九
作者单位:昆明理工大学;西安理工大学,中国科学院水利部水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室
基金项目:国家自然科学基金资助项目(51179150)和国家自然科学基金重点资助项目(91025018)
摘    要:为在土壤分析研究时,制定工作量少、试验设计经济合理,同时采样点具备代表性的野外采样方案,采用GPS与Google Earth相结合的方法,在陕西省泾惠渠灌区研究了土壤水力参数区域尺度的空间变异性,结果表明:土壤饱和含水率与饱和导水率在该区域尺度下属于中等变异,且两者均具有较强的空间依赖性;饱和含水率的最佳拟合模型为球形模型,土壤饱和导水率的最佳拟合模型为指数型;推荐两者的采样间距分别为2.38 km和7.14 km。

关 键 词:土壤水力参数  空间变异  采样间距  流域尺度  GPS  谷歌地球
收稿时间:2013/12/4 0:00:00

Sample Spacing of Spatial Variability of Soil Hydraulic Parameters in Basin Scale Based on GPS and Google Earth
Wang Weihua and Wang Quanjiu.Sample Spacing of Spatial Variability of Soil Hydraulic Parameters in Basin Scale Based on GPS and Google Earth[J].Transactions of the Chinese Society of Agricultural Machinery,2014,45(3):97-100.
Authors:Wang Weihua and Wang Quanjiu
Abstract:There are some problems, such as how to use advanced methods, how to make less work, economical and reasonable experimental design and how to make representative sampling points during soil analysis. The above-mentioned problems are becoming research difficulties and hotspots in recent years. A research on spatial variability of soil hydraulic parameters basin scale in Jinghui Irrigation, Shaanxi Province was made based on GPS and Google Earth methods. The results showed that saturated soil moisture content and saturated hydraulic conductivity moderate variation in the regional scale show out moderate variability and strong spatial dependence. The best-fitting models for saturated soil moisture content and saturated hydraulic conductivity are spherical model and exponential model, respectively. As for the above two, the sample spacing of 2.38km and 7.14km are recommended.
Keywords:Soil hydraulic parameters  Spatial variability  Sample spacing  Basin scale  GPS  Google Earth
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