利用可见--近红外光谱技术，研究油区农田土壤在颗粒为2 mm、0.25 mm和0.15 mm时的光谱(原始、一阶微分、连续统去除、多次散射校正)反射率与石油烃含量变化的关系，建立并利用偏最小二乘回归模型估测了石油烃含量。结果表明：原始、连续统去除、多次散射校正光谱的反射率对石油烃含量变化的响应在350 ~ 600 nm最敏感(P＜0.05)，一阶微分光谱的敏感波段为2 280 nm(|r| = 0.81, P＜0.01)；光谱预处理能明显提高石油烃含量的估测精度，但土壤研磨对估测精度的影响因光谱预处理方法而异。基于可见--近红外光谱技术，本研究确立了估测油区农田土壤石油烃含量的颗粒粒径(2 mm)和光谱预处理方法(一阶微分)，实现了石油烃含量的快速、有效估测，探索了一种可替代传统分析技术的新方法。
Visible-near-infrared spectroscopic characteristics of soils sampled in cropland in oil well region were analyzed and these soil samples were meshed by 2 mm, 0.25 mm, 0.15 mm. Reflectance spectra was pretreated by first derivative, continuum removal, and multiple scattering correction before study on relationship between spectral reflectance and soil petroleum hydrocarbon concentration. Partial least square regression models for predicting soil petroleum hydrocarbon concentration were built on the basis of the full wavebands from 350 to 2 500 nm. The results showed that the most sensitive wavebands of RAW, continuum-removal, and multiple-scattering-correction spectra were located in the region from 350 to 600 nm with 0.05-level significance, and that those of first-derivative spectra were located at 2 280 nm (|r| = 0.81, P＜0.01). Estimation accuracy of partial least square regression models for predicting soil petroleum hydrocarbon concentration was increased by spectral pretreatment, ; nevertheless, effects of soil milling on estimation accuracy depended on spectral pretreatment. In this study, 2 mm and first derivative were respectively considered as suitable soil particle size and spectral pretreatment in building models for predicting soil petroleum hydrocarbon concentration on the basis of visible-near-infrared spectroscopy and spectral analysis, which provides a novel alternative of traditional analysis methods.
任红艳,史学正,庄大方,徐新良,江 东,于信芳.基于可见-近红外反射光谱的油区农田土壤石油烃含量估测研究[J].土壤,2013,45(2):295-300. REN Hong-yan, SHI Xue-zheng, ZHUANG Da-fang, XU Xin-liang, JIANG Dong, YU Xin-fang. Visible-near-infrared Spectroscopy in Estimation of Petroleum Hydrocarbon Concentration in Soil[J]. Soils,2013,45(2):295-300复制