Suppr超能文献

森林火灾对土壤中多环芳烃水平和分布的影响。

Impact of forest fires on PAH level and distribution in soils.

机构信息

Université Paul Cézanne Aix-Marseille 3, ISM2, UMR 6263, équipe AD²EM FR ECCOREV, Europole de l'Arbois, Bâtiment Villemin BP 80, 13545 Aix-en-Provence Cedex 4, France.

出版信息

Environ Res. 2011 Feb;111(2):193-8. doi: 10.1016/j.envres.2010.01.008. Epub 2010 Feb 10.

Abstract

Surface (0-5 cm) and subsurface (-5 to 15 cm) soils from burned forest areas in South of France were analyzed to determine contents of 14 priority polycyclic aromatic hydrocarbons (PAHs) and their distribution profile. The sampling procedure allowed us to study the effect of the frequency of fire as well as the influence of the time elapsed since the last fire. The contribution of forest fires to the content of PAHs in soils was demonstrated, as well as the decrease of their total level with time. The hypothesis is that a natural remediation takes place a few years after the last fire event. The lowest molecular weight studied PAHs (naphthalene, acenaphtene, fluorene, phenanthrene, anthracene, fluoranthene and pyrene) appear to be the major ones produced by forest fire. Naphtalene levels are remarkably high in burned soils (more than 70 μg kg(-1), i.e. more than 20 times higher than in the control soils) and still remain important years after the last fire event. The time elapsed since the last fire appears to be a more influencing factor than the fire frequency. The index defined from the PAH levels shows values reflecting the time elapsed since the last fire.

摘要

对法国南部森林火灾地区的表层(0-5 厘米)和次表层(-5 至 15 厘米)土壤进行了分析,以确定 14 种优先多环芳烃(PAHs)的含量及其分布特征。采样程序使我们能够研究火灾频率的影响以及上次火灾以来时间流逝的影响。证明了森林火灾对土壤中 PAHs 含量的贡献,以及随着时间的推移其总水平的降低。假设在最后一次火灾事件发生几年后,会发生自然修复。研究的最低分子量 PAHs(萘、苊、芴、菲、蒽、荧蒽和芘)似乎是森林火灾产生的主要 PAHs。在燃烧的土壤中萘的含量非常高(超过 70μgkg(-1),即比对照土壤高 20 倍以上),而且在上次火灾事件发生多年后仍然很重要。距上次火灾的时间似乎比火灾频率更具影响力。从 PAH 水平定义的指数反映了距上次火灾的时间。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验