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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Spectral Interference of Heavy Metal Contamination on Spectral Signals of Moisture Content for Heavy Metal Contaminated Soils
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Spectral Interference of Heavy Metal Contamination on Spectral Signals of Moisture Content for Heavy Metal Contaminated Soils

机译：重金属污染土壤含水量光谱信号的重金属污染的光谱干扰

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摘要

This article examined the spectral interference by heavy metal on the spectral signal of moisture content of heavy metal contaminated soils. Soil samples were collected from an abandoned mine area, and the chemical analysis revealed extremely high contamination amount of copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd), and lead (Pb). The mineralogical analysis showed that the spectral signature of the heavy metal contaminated soils was manifested by secondary minerals. Water content suppressed the spectral reflectance of the soil samples but increased the absorption depths. Although a regression model can predict moisture content using the magnitude of the water absorption feature, the accuracy was much lower when the heavy metal concentration was extremely high. It indicates that geochemical reactions between the heavy metal cation and iron oxide/clay minerals may have affected the spectral responses of the contaminated soils at the water absorption bands. Our model also showed that there was a shift of the absorption features of moisture content if the heavy metal contamination level went up. Unlike normal soils, the absorption features of clay minerals and ferric iron were not able to accurately predict moisture in highly contaminated soils. Given the fact that the spectral bands selected in this article were associated with water absorption, the findings from this article may only be useful to a drone-based low-altitude remote sensing of soil moisture content.
机译：本文研究了重金属对重金属污染土壤水分含量的光谱信号的光谱干扰。从废弃的矿区收集土壤样品，化学分析显示出极高的铜（Cu），锌（Zn），砷（AS），镉（CD）和铅（Pb）。矿物学分析表明，二次矿物表现出重金属污染土壤的光谱特征。含水量抑制了土壤样品的光谱反射率，但增加了吸收深度。尽管回归模型可以使用吸水特征的幅度来预测水分含量，但是当重金属浓度极高时，精度要低得多。它表明重金属阳离子和氧化铁/粘土矿物之间的地球化学反应可能影响了吸水带的受污染土壤的光谱反应。我们的模型还表明，如果重金属污染水平上升，则水分含量的吸收特征发生偏移。与普通土壤不同，粘土矿物和铁的吸收特征不能准确地预测高度污染的土壤中的水分。鉴于本文中选择的光谱带与吸水有关，本文的发现可能仅适用于土壤水分含量的无人机的低空遥感。

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