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作 者:张同娟[1] 杨劲松[1] 刘广明[1] 姚荣江[1]
出 处:《农业工程学报》2009年第11期109-113,共5页Transactions of the Chinese Society of Agricultural Engineering
基 金:中国科学院知识创新工程重大项目(KZCX1-YW-08-01-02);国务院三峡办项目(SX[2007]-005);国家自然科学基金项目(40601100);国家"863"计划项目课题(2007AA091702;2006AA10A301)资助
摘 要:针对长江河口地区存在的盐渍化问题,以该地区分布较广泛的底聚型盐分剖面类型为研究对象,通过电磁感应仪EM38测量与田间采样,建立了磁感式表观电导率和土壤电导率之间的多元回归模型。在分析土壤盐分剖面分布特征的基础上提出了Logistic模型,并运用该模型对盐分剖面进行了参数拟合和验证。结果表明:磁感式表观电导率水平读数和垂直读数呈极显著线性相关,回归模型和Logistic模型均具有很好的预测效果。通过模型精度检验,二者的预测精度差异不显著,但Logistic模型所需参数少,表明该文提出的Logistic模型不仅能降低待估参数数量,同时还具有较高的预测精度。该研究结果为利用电磁感应仪快速、精确地进行土壤盐分预测及土壤次生盐渍化的防控提供了一定的理论参考。Aiming at the problem of soil salinization in Yangtze River estuary area, normal salinity profile type extensively distributed in the area were studied. Multiple linear regression model between apparent electrical conductivity and soil electrical conductivity was established by using EM38 measurement and field sampling. Based on the analyses of soil salinity profile characteristics, Logistic model was propounded and fitted for all calibration salinity profiles, and the obtained Logistic model was then used to test the validation salinity profiles. The results showed that the horizontal value of electromagnetic apparent electrical conductivity was linearly correlated with the vertical value significantly. Both linear, regression model and Logistic model exhibited high precision in simulated and predicted soil salinity. Prediction accuracy between them was statistically insignificant by the model accuracy test, but the Logistic model needed fewer parameters. The study suggested that the Logistic model proposed in this paper could not only reduce the amount of parameters but also had highly predicted precision. The research results can serve as a theoretical reference to the rapid and accurate assessment of soil salinity and the prevention of soil secondary salinization using electromagnetic induction.
关 键 词:解译 盐度测量 土壤 长江河口地区 底聚型盐分剖面 电磁感应仪EM38
分 类 号:S151.9[农业科学—土壤学] S159.3[农业科学—农业基础科学]
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