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Use of Field Spectroradiometry in Detecting Lead-Contaminated Soil: a case study from Wales

机译:现场光谱辐射法检测铅受污染土壤的使用 - 威尔士案例研究

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Lead-contaminated soil (LCS) can cause a serious threat to human health, safety of the agricultural products and affects adversely our environment. Assessing the level of lead in a contaminated soil is necessary in order to prioritize soil remediation and public health efforts. This requires a rapid understanding of the contamination risk as well as the feasible estimation methods. Recently, technological advances in hyperspectral remote sensing have been widely incorporated into heavy-metal soil contamination studies, as they are able to provide such estimates in a rapid and cost-effective way. The present work aimed at investigating the potential of field spectroradiometry in detecting LCS surfaces and in quantifying the level of Pb contamination in the soil, using as a case study a site in West Wales of the United Kingdom. The main objective has been to perform a spectral discrimination analysis of the reflectance spectra collected with the spectroradiometer and to statistically identify the specific wavelengths/spectral-regions associated to the LCS detection using both parametric and non-parametric methods. This study implications can be significant on a variety of scales in practical applications including the mitigation and phytoremediation of LCS risk problem in Wales. Furthermore, it contributes towards the development of more accurate LCS monitoring-models exploiting hyperspectral imaging technology.
机译:铅受污染的土壤(LCS)可能会对人类健康,农产品安全产生严重威胁,并对我们的环境产生不利影响。为了优先考虑土壤修复和公共卫生努力,需要评估污染土壤中的铅水平。这需要快速了解污染风险以及可行的估算方法。最近,高光谱遥感的技术进步已被广泛融入重金属土壤污染研究中,因为它们能够以快速和成本效益的方式提供这种估计。目前的作品旨在研究检测LCS表面和定量土壤中Pb污染水平的现场光谱辐射辐射仪的潜力,以案例研究英国西威尔士的景点。主要目的是执行用光谱仪收集的反射光谱的光谱辨别分析,并使用参数和非参数方法统计地识别与LCS检测相关的特定波长/光谱区域。本研究对实际应用中的各种规模来说,这一研究可能是显着的,包括威尔士中LCS风险问题的缓解和植物修复。此外,它有助于开发更准确的LCS监测模型,利用高光谱成像技术。

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