基于近红外光谱的新疆土壤铅含量测定方法研究

Preliminary study on rapid determination of heavy metals in farmland soils from Xinjiang based on near infrared spectroscopy

本文以新疆北部农田土壤为研究对象,利用近红外光谱技术建立了该区农田土壤中铅含量的定量预测模型并对所建立的模型进行优化,以便快速测定土壤中铅含量。结果表明:优化后定量预测模型的校正集预测值与测定值之间的相关系数RC为0.99,校正集标准差SEC为0.96,验证集标准差SEP为1.27,交互检验验证集标准差SECV为1.15,预测值与实测值的相对偏差为1.49%~9.00%。该定量模型具有较高的预测效果,可用于快速定量预测新疆北部农田中土壤中铅含量。

Lead contents in farmland soil in northern Xinjiang Uygur Autonomous Region was studied in this paper,a quantitative prediction model of the lead content in farmland soil in this area was established by using near infrared spectroscopy,and the model was optimized in order to quickly determine the lead content in the soil.The results indicated that the correlation coefficient RC between the predicted and measured values of the calibration set is 0.99,the standard deviation of the calibration set(SEC)is 0.96,the standard deviation of the verification set(SEP)is 1.27,the standard deviation of the interactive verification set(SECV)is 1.15,and the relative deviation between the predicted and measured values is 1.49-9.00%.The quantitative model has a high prediction effect and can be used for rapid quantitative analysis of soil lead content in farmland in northern Xinjiang Uygur Autonomous Region.