Hyperspectral Inversion of Soil Heavy Metal Content in Anshan-style Iron Tailings Area
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摘要:
土壤中的铜浓度占比过高会对人体和环境造成一定的危害，因此探讨重金属铜含量反演具有重要意义。本研究以唐山典型铁尾矿区43个土壤样品为例，同时测定土壤中铜的反射光谱和含量信息，经多种波谱变换后，通过相关性分析法（CA）和连续投影法（SPA）进行土壤铜含量的特征波段选取，然后利用多元线性回归(MLR)和偏最小二乘回归(PLSR)算法建立了铜含量的反演模型，得到多种光谱数据的反演成效。结果显示：二阶微分处理后的光谱数据，其反演效果较好，CA-PLSR和SPA-MLR两种反演模型中，SPA-MLR的反演精度相对较准确；二阶微分光谱变换后的SPA-MLR模型在估算土壤铜含量方面更有优势。
Abstract:Excessive copper concentration in the soil will cause certain harm to human body and the environment, so it is of great significance to explore the inversion of heavy metal copper content. In this study, 43 soil samples in the typical iron tailings area of Tangshan were taken as examples, and the reflectance spectrum and content information of copper in the soil were measured at the same time. After a variety of spectral transformations, the correlation analysis method (CA) and the continuous projection method (SPA) were carried out. The characteristic wavebands of soil copper content were selected, and then the inversion model of copper content was established using multiple linear regression (MLR) and partial least square regression (PLSR) algorithms, and the inversion results of various spectral data were obtained. The results show that the spectrum data after the second-order differential processing has the best inversion effect. Among the two inversion models of CA-PLSR and SPA-MLR, the inversion accuracy of SPA-MLR is relatively accurate; after the second-order differential spectrum transformation te SPA-MLR model has more advantages in estimating soil copper content.
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Key words:
- Hyperspectral /
- Copper /
- Characteristic band /
- Inversion
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表 1 铁尾矿区尾砂土壤重金属铜含量分析/（mg·kg-1）
Table 1. Analysis of heavy metal copper content in tailing soil of iron tailings area
样本 均值 最大值 最小值 标准差 变异系数 Cu 11.80 25.05 4.49 4.07 34% 
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表 2 土壤变异系数等级分类
Table 2. Classification of soil coefficient of variation
系数区间 等级 0 ~15% 小 16% ~ 35% 中 ＞36% 高
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表 3 土壤铜含量CA-PLSR模型结果
Table 3. Results of CA-PLSA model for soil copper content
反射率类型 RC RMSEC RP RMSEP RPD R 0.17 2.94 0.13 5.66 1.07 FD 0.61 2.02 0.33 4.98 1.22 SD 0.94 0.75 0.68 3.41 1.78 CR 0.45 2.39 0.13 5.65 1.07
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表 4 土壤铜含量SPA-MLR模型结果
Table 4. Results of SPA-MLR model for soil copper content
反射率类型 RC RMSEC RP RMSEP RPD R 0.09 3.18 0.01 5.98 1.01 FD 0.98 1.04 0.68 3.32 1.83 SD 0.99 0.56 0.85 2.30 2.63 CR 0.99 0.93 0.75 2.93 2.07
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