利用近红外光谱技术建立土壤水分含量定标方程  

Establishment of Calibration Equation for Soil Moisture Content by NIRS

作　　者：商淑培[1] 王亚利[2] 洪爱俊[3] 王卫东[1] 

机构地区：[1]郑州大学物理工程学院河南省离子束生物工程重点实验室,郑州市大学路75号450052 [2]郑州师范学院物理系,郑州市英才街6号450044 [3]甘肃民族师范学院物理与水电工程系

出　　处：《光谱实验室》2011年第4期1603-1607,共5页Chinese Journal of Spectroscopy Laboratory

基　　金：国家自然科学基金项目资助课题(10505018)

摘　　要：应用近红外漫反射光谱技术(波长为1100—2498nm,分辨率为2nm),以温县和郑州市郊的土壤为材料建立土壤水分含量分析系统。结果表明,优化各项参数后,光谱经过标准正态变换校正和一阶导数处理后,回归分析采用修正的偏最小二乘法(M PLS)得到的定标模型效果最佳。最终得到的预测方程定标相关系数(RSQ)、交叉验证标准误差(SECV)、交叉验证相关系数(1-VR)分别为0.98,0.92,0.97。数学模型经过验证样品集检验,预测相关系数达到0.96,达到了快速、准确分析土壤水分含量的要求。The analysis system of soil moisture content was established by near infrared reflectance spectroscopy （NIRS,wavelength range of 1100--2498nm and distinguish-ability of NIRS machine of 2nm） with the soil in Wenxian and suburb of Zhengzhou as materials. After optimizing all the parameters, the best calibration model was obtained by ＂first derivative＂＋＂standard normal variable transformation, with regression analysis by modified partial least squares （MPLS）. RSQ, SECV and 1-VR of the obtained calibration model were 0. 98,0. 92, 0. 97, respectively. A set of samples were used to cheek the model, and prediction coefficient of determination was 0. 96. Soil moisture content could be predicted quickly and accurately by the NIRS measurement.

关 键 词：土壤水分 近红外光谱 分析建模 

分 类 号：O657.33[理学—分析化学]