首页> 外文期刊>Water, Air, and Soil Pollution >Reflectance Spectroscopy (Vis-NIR) for Assessing Soil Heavy Metals Concentrations Determined by two Different Analytical Protocols, Based on ISO 11466 and ISO 14869-1
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Reflectance Spectroscopy (Vis-NIR) for Assessing Soil Heavy Metals Concentrations Determined by two Different Analytical Protocols, Based on ISO 11466 and ISO 14869-1

机译:基于ISO 11466和ISO 14869-1的两种不同分析规程测定的土壤重金属浓度的反射光谱法(Vis-NIR)

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摘要

This study aimed to investigate the potency of soil reflectance spectroscopy in the visible and near infrared (Vis-NIR) spectral regions in estimating soil heavy metal pollution in the western coastal front of Thessaloniki (N. Greece) and how the protocol used for chemical analyses can affect the models' performance. For this purpose, 49 topsoil samples were collected and the concentrations of Cd, Cr, Cu, and Pb were determined by two different analytical methods, i.e., ISO 11466 based on the technique of atomic absorbance spectrometry (AAS) and ISO 14869-1 using the technique of inductively coupled plasma-atomic emission spectrometry (ICP-AES). The spectral signatures were applied for modeling the metal concentrations by using the partial least squares regression (PLSR) method. To eliminate the "noise" of data and enhance the models' accuracy, four spectral pre-treatment methods were used. The overall results showed that there is heavy metal pollution in the soils of specific areas in the studied region and that the use of different chemical analytical methods can affect the performance of examined prediction models. Better prediction models were created for the cases of Pb, Cu, and Cr concentrations, which were estimated by the application of ISO 14869-1, while for the case of Cd better prediction models were obtained, by the application of ISO 11466. These results may indicate that soil reflectance spectroscopy can measure the total heavy metal content in soil samples.
机译:这项研究旨在调查可见和近红外(Vis-NIR)光谱区域中土壤反射光谱法在估算塞萨洛尼基(希腊北部)西部沿海地区土壤重金属污染方面的效力以及该协议如何用于化学分析会影响模型的性能。为此,收集了49个表层土壤样品,并通过两种不同的分析方法,即基于原子吸收光谱法(AAS)的ISO 11466和采用ISO 14869-1的ISO 14869-1测定了Cd,Cr,Cu和Pb的浓度。电感耦合等离子体原子发射光谱(ICP-AES)技术。通过使用偏最小二乘回归(PLSR)方法将光谱特征应用于金属浓度建模。为了消除数据的“噪声”并提高模型的准确性,使用了四种光谱预处理方法。总体结果表明,研究区域中特定区域的土壤中存在重金属污染,使用不同的化学分析方法可能会影响所检验的预测模型的性能。对于Pb,Cu和Cr浓度的情况,创建了更好的预测模型,通过应用ISO 14869-1进行了估算,而对于Cd的情况,通过应用ISO 11466获得了更好的预测模型。这些结果可能表明土壤反射光谱法可以测量土壤样品中的总重金属含量。

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