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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >FEASIBILITY OF USING HYPERSPECTRAL REMOTE SENSING FOR ENVIRONMENTAL HEAVY METAL MONITORING
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FEASIBILITY OF USING HYPERSPECTRAL REMOTE SENSING FOR ENVIRONMENTAL HEAVY METAL MONITORING

机译：利用高光谱遥感进行环境重金属监测的可行性

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The use of optical properties as key parameters has been widely used in water quality monitoring, which accelerates the advances of remote sensing in the field of environmental monitoring. Current analytical methods for determining heavy metals in water include flame atomic absorption spectrometry (FAAS), atomic adsorption spectrophotometry (AAS) and inductively coupled plasma (ICP) spectroscopy, which typically require use of chemicals for sample processing and pretreatment as well as high capital input for analysis. Therefore, this study aims at investigating the potential of using non-destructive approaches for rapid water monitoring of heavy metal from green chemistry perspective. The proposed non-destructive sensing techniques include X-ray fluorescence spectrometer (XRF) and visible-near infrared spectroradiometer (VNIR). The former is an elemental analyser specifically for elements with relatively high atomic number, and the latter measures the reflectance or transmittance from samples. Heavy metals of lead (Pb), zinc (Zn) and copper (Cu) were selected as the target water constitutes in the study. The results from the analysis were then be used for determining a correlation model through chemometric approaches. Our results demonstrated that both of the target metals could be analysed via the proposed analytical methods. Reasonable agreements between the measurements from XRF and ICP were observed, whereas moderate correlations were perceived for simple linear regression model using spectral information from VNIR. Results from this study are expected to provide useful information on rapid identification of metal-polluting sources.
机译：使用光学特性作为关键参数已广泛用于水质监测中，这加速了环境监测领域中遥感技术的进步。目前用于测定水中重金属的分析方法包括火焰原子吸收光谱法（FAAS），原子吸收光谱法（AAS）和电感耦合等离子体光谱（ICP）光谱法，这些方法通常需要使用化学试剂进行样品处理和预处理以及大量投资进行分析。因此，本研究旨在从绿色化学的角度研究使用非破坏性方法对重金属进行快速水监测的潜力。提出的无损传感技术包括X射线荧光光谱仪（XRF）和可见近红外光谱仪（VNIR）。前者是专门用于原子序数较高的元素的元素分析仪，后者是测量样品的反射率或透射率的元素。研究中选择了铅（Pb），锌（Zn）和铜（Cu）的重金属作为目标水。然后，将分析结果用于通过化学计量方法确定相关模型。我们的结果表明，两种目标金属均可通过建议的分析方法进行分析。观察到XRF和ICP的测量结果之间存在合理的一致性，而使用VNIR的光谱信息对简单的线性回归模型则感觉到了适度的相关性。这项研究的结果有望为快速识别金属污染源提供有用的信息。

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