作　　者： ; ; ; ; ; (西甫拉提）;

机构地区： 新疆大学资源与环境科学学院绿洲生态教育部重点实验室

出　　处： 《中国沙漠》 2013年第5期1413-1419,共7页

摘　　要： 土壤理化性质影响土壤质量,直接决定作物的产量,极易受到灌溉的影响。选择新疆典型绿洲———渭干河-库车河三角洲绿洲作为靶区,利用土壤光谱反射率预测土壤的电导率、pH值。首先,对土壤光谱反射率做变换,得到18种形式的反射率;其次,对18种形式的反射率与土壤电导率、pH值进行相关与回归分析,得到预测方程;最后,验证预测方程的精度,并确定最佳方程。结果显示:可以用土壤的光谱反射率预测土壤电导率、pH值,土壤电导率的预测方程为反射率的一阶导数微分形式,均方根误差为0.184;土壤pH值的预测方程为倒数的二阶导数微分形式,均方根误差为0.278。快速预测土壤电导率、pH值可以为土壤质量的评价提供数据基础,有利于正确有效地指导农业生产。 The soil physical and chemical properties, which are extremely influenced by irrigation, have im- pacts on the quality of soil, and determine the crop yields directly. There is a large drought agricultural re- gion in Xinjiang, so, to study the soil physical and chemical properties is essential. The author selected a delta oasis between the Ugan River and the Kuqa River as objects. The aim of this study was how to use spectral of soil to obtain the properties of soil rapidly and efficiently. Firstly, we transformed the spectral reflectance to 18 kinds of forms of reflectance. Secondly, correlation analysis and multiple regression analy- sis were done to these kinds of reflectance and the properties of soil. Finally, we used the data to validate the predictive accuracy and determined the best prediction equations of the properties of soil. The results showed that these equations were good. The prediction equation of soil electrical conductivity was the first derivative differential form, the root mean square error was 0. 184. The best prediction equation of soil pH was the second derivative differential forms of the reciprocal, the root mean square error was 0. 278. It could be a feasible way to use the spectral reflectance to predict soil EC and pH. The study also provides data base for the land quality assessment and sustainable development of the soil and guides the agricultural pro- duction correctly and effectively.

关 键 词： 新疆 绿洲土壤 电导率 值 光谱

领　　域： [农业科学] [农业科学]