首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Spectroscopic characterization of red latosols contaminated by petroleum-hydrocarbon and empirical model to estimate pollutant content and type
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Spectroscopic characterization of red latosols contaminated by petroleum-hydrocarbon and empirical model to estimate pollutant content and type

机译:石油-烃污染的红色Latosol的光谱表征和估计污染物含量和类型的经验模型

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This work assesses the applicability of reflectance spectroscopy to monitor petroleum hydrocarbon (PHC) leaks in petroleum facilities using the direct detection of the pollutant in bare soils. A controlled, lab-scale experiment is conducted, where red latosols are contaminated with several types of hydrocarbons (crude oils and derivatives) and in different concentrations, in order to simulate leaks. Results portray key spectroscopic characteristics of contaminated soils, spectral temporal variation patterns, and spectral detection limits considering visible-near infrared and short wave infrared wavelengths. Regression analysis models allow quantifying the pollution level and estimating the hydrocarbon type. This seamless method has a great potential to be used in environmental monitoring of bare soil along refineries and pipelines. (c) 2016 Elsevier Inc. All rights reserved.
机译:这项工作通过直接检测裸露土壤中的污染物,评估了反射光谱法在监测石油设施中石油烃(PHC)泄漏的适用性。进行了一个受控的实验室规模的实验,在该实验中,红色Latosol受到几种类型的碳氢化合物(原油和衍生物)的污染且浓度不同,以模拟泄漏。结果反映了受污染土壤的关键光谱特性,光谱的时间变化模式以及考虑可见近红外和短波红外波长的光谱检测极限。回归分析模型可以量化污染水平并估算碳氢化合物类型。这种无缝方法具有很大的潜力,可用于炼油厂和管道沿线裸土的环境监测。 (c)2016 Elsevier Inc.保留所有权利。

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