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首页> 外文期刊>The Science of the Total Environment >Contamination of heavy metals and metalloids in biomass and waste fuels: Comparative characterisation and trend estimation
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Contamination of heavy metals and metalloids in biomass and waste fuels: Comparative characterisation and trend estimation

机译:生物质和废燃料中重金属和准金属的污染:比较特征和趋势估计

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摘要

The use of contaminated biomass and waste fuels is essential for waste management, waste to energy (WtE) and mitigating carbon emissions. The contamination of heavy metals and metalloids is specially concerned by environmental regulation and waste to energy processes. In this study, comparative characterisation is performed for three typical contaminated biomass and waste fuels. i.e. recycled woods, combustible municipal solid waste, and industrial and commercial wastes. The contamination characteristics are further analysed using statistical methods (e.g. significance, correlation, profile, and principal component analyses) to identify specific contamination features, relations among the contaminants and potential contamination sources. Contamination trend is estimated based on the continuously monitoring fuel qualities, the driving forces for regulating and reduction of the contaminations, and potential changes in major contamination sources. The comparative characterisation combined with statistical analyses provides a better way to understand the contamination mechanisms. The approach can also relate the fuel contamination with the contamination sources and their changes for trend estimation. Generally, the toxic heavy metals and metalloids are expected to be significantly reduced due to stricter regulations, but there is no general trend for the reduction of other metals and metalloids because of the complicated changes in contamination sources and waste recycling streams in the near future. (C) 2019 Elsevier B.V. All rights reserved.
机译:受污染的生物质和废燃料的使用对于废物管理,废物转化为能源(WtE)和减少碳排放至关重要。重金属和准金属的污染尤其受到环境法规和能源浪费的关注。在这项研究中,对三种典型的受污染生物质和废燃料进行了比较表征。即回收木材,可燃城市固体废物以及工业和商业废物。使用统计方法(例如显着性,相关性,分布图和主成分分析)进一步分析污染特征,以识别特定的污染特征,污染物之间的关系以及潜在的污染源。根据连续监测的燃料质量,调节和减少污染的驱动力以及主要污染源的潜在变化来估算污染趋势。比较表征与统计分析相结合,为了解污染机理提供了更好的方法。该方法还可以将燃料污染与污染源及其变化联系起来,以进行趋势估计。通常,由于更严格的规定,有毒重金属和准金属预计会显着减少,但是由于污染源和废物回收流的复杂变化在不久的将来,减少其他金属和准金属的趋势尚无普遍趋势。 (C)2019 Elsevier B.V.保留所有权利。

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