石油烃污染紫色土的可见-近红外光谱特征及其含量估算研究（英文）

发布时间：2018-06-08 00:05

本文选题：高光谱 + 紫色土　；参考：《光谱学与光谱分析》2017年12期

【摘要】：高光谱遥感技术是一种有效的监测石油类污染手段,目前主要应用于海上溢油方面,而关于土壤石油烃污染的研究较少。针对土壤石油烃污染研究不足的现状,选取柴油、汽油和机油三种石油烃,开展了石油烃污染紫色土的光谱特征实验研究,分析了紫色土在不同种类石油烃污染及不同污染浓度条件下的光谱特征,提取了含有不同种类石油烃的紫色土光谱吸收特征波段。在此基础上,经过7种光谱变换和相关性分析,筛选出与石油烃含量最敏感的光谱变量,分别采用单变量回归法和多元逐步线性回归法建立了估算模型,并对模型进行了验证。研究表明:含有柴油、机油和汽油的光谱在1 200,1 700和2 300nm附近均出现了吸收特征,光谱吸收深度表现为:机油汽油柴油;多元逐步线性回归法优于单变量回归法,其建立的柴油、机油和汽油的估算模型决定系数均大于0.95,校正均方根误差小于0.47,验证均方根误差小于0.56,估算精度较高。
[Abstract]:Hyperspectral remote sensing is an effective method for monitoring petroleum pollution, which is mainly used in offshore oil spill, but there is little research on soil petroleum hydrocarbon pollution. In view of the current situation of petroleum hydrocarbon pollution in soil, the spectral characteristics of purple soil polluted by petroleum hydrocarbon were studied by selecting three kinds of petroleum hydrocarbons, diesel oil, gasoline and oil. The spectral characteristics of purple soil under different kinds of petroleum hydrocarbon pollution and different pollution concentrations were analyzed. The spectral absorption bands of purple soil containing different petroleum hydrocarbons were extracted. On this basis, through seven spectral transformations and correlation analysis, the most sensitive spectral variables to petroleum hydrocarbon content were selected. The estimation models were established by single variable regression method and multivariate stepwise linear regression method, and the model was verified. The results showed that the absorption characteristics of the spectra containing diesel oil, oil and gasoline were found in the vicinity of 1 700 and 2 300nm. The absorption depth of the spectrum was shown as follows: diesel oil, multivariate stepwise linear regression method was superior to single variable regression method. The determination coefficients of the models for diesel, oil and gasoline are all greater than 0.95, the corrected RMS error is less than 0.47, the RMS error is less than 0.56, and the estimation accuracy is high.
【作者单位】：后勤工程学院国防建筑规划与环境工程系;杭州师范大学遥感与地球科学研究院;后勤工程学院军事油料应用与管理工程系;
【基金】：National Science Foundation of China(21377166)
【分类号】：O657.3;X53;X87

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