检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
出 处:《农业工程学报》2010年第1期61-66,共6页Transactions of the Chinese Society of Agricultural Engineering
基 金:国家科技支撑计划项目(2007BAC17B04);中国科学院重要方向项目(kzcx2-yw-406-4;kzcx2-yw-406-3);国家自然科学基金项目(40601100)
摘 要:为了精准解译面域尺度土壤盐分特征,有必要建立分层土壤盐分信息精确解译模型。该文应用通径分析方法,研究获得了土壤全盐量、土壤含水率、体积质量、黏粒质量分数、地下水电导率、地下水埋深等作用因子对土壤表观电导率值的方差贡献率及作用强弱排序。依据各作用因子的方差贡献率大小,结合设定的累积贡献率阀值,选取出磁感式土壤表观电导率的主导作用因子,确定为磁感式土壤盐分信息解译模型的参数体系。采用多因子及互作项逐步回归法,通过引入因子间的互作效应建立优化的基于磁感式探测的分层(0~20,>20~60,>60~100,>100~160cm)土壤盐分信息解译模型。验证结果表明,模型解译误差基本在10%以内,达到了较高精度水平。This article focuses on the foundation and validation of soil salinity model based on electro magnetic(EM) induction technique.Variance contribution of factors(such as soil salt content,soil water content,soil density,clay content,electrical conductivity of groundwater,and groundwater depth)to soil apparent electrical conductivity(eq.EM value)measured by electromagnetic inducting instruments and the order of function weights of influence factors were obtained by path analysis.According to variance contribution,their relative weight order from high to low and designed total contribution(90%),dominant non-salinity factors to EM values were selected and thus parameter system of the model for interpreting soil salinity were built up.Optimized layer-based(0-20,〉20-60,〉60-100 and〉100-160 cm) soil salinity model was found via stepwise regression of multi-factors and interactions.Validation result showed that the model was of high accuracy and almost all of the relative errors were lower than 10%.This model can be used to interpret soil salinity in inner or coastal irrigation areas with shallow groundwater table.
分 类 号:S121[农业科学—农业基础科学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.13