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Using foliar and forest floor mercury concentrations to assess spatial patterns of mercury deposition

机译:利用叶面和森林地面的汞浓度评估汞沉积的空间格局

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摘要

We evaluated spatial patterns of mercury (Hg) deposition through analysis of foliage and forest floor samples from 45 sites across Adirondack Park, Ni Species-specific differences in foliar Hg were evident with the lowest concentrations found in first-year conifer needles and highest concentrations found in black cherry (Prunus serotina). For foliage and forest floor samples, latitude and longitude were negatively correlated with Hg concentrations, likely because of proximity to emission sources, while elevation was positively correlated with Hg concentrations. Elemental analysis showed moderately strong, positive correlations between Hg and nitrogen concentrations. The spatial pattern of Hg deposition across the Adirondacks is similar to patterns of other contaminants that originate largely from combustion sources such as nitrogen and sulfur. The results of this study suggest foliage can be used to assess spatial patterns of Hg deposition in small regions or areas of varied topography where current Hg deposition models are too coarse to predict deposition accurately. (C) 2015 The Authors. Published by Elsevier Ltd.
机译:我们通过分析阿迪朗达克公园(Adirondack Park)上45个地点的树叶和森林地面样品,评估了汞(Hg)沉积的空间格局,Ni在第一年的针叶树针中发现的最低浓度和最高的浓度明显看出了叶片中Hg的物种特异性差异。在黑樱桃(李子血清)中。对于树叶和森林地面样品,纬度和经度与汞浓度呈负相关,这很可能是由于靠近排放源,而海拔高度与汞浓度呈正相关。元素分析显示汞和氮浓度之间存在中等强度的正相关。横跨阿迪朗达克山脉的汞沉积的空间格局与其他主要源自燃烧源(例如氮和硫)的污染物的格局相似。这项研究的结果表明,在当前汞沉积模型过于粗糙而无法准确预测沉积的小区域或地形变化区域中,树叶可用于评估汞沉积的空间格局。 (C)2015作者。由Elsevier Ltd.发布

著录项

  • 来源
    《Environmental Pollution》 |2015年第7期|126-134|共9页
  • 作者单位

    Syracuse Univ, Dept Civil & Environm Engn, Syracuse, NY 13244 USA;

    Syracuse Univ, Dept Civil & Environm Engn, Syracuse, NY 13244 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Mercury; Deposition; Spatial; Adirondack; Biogeochemistry;

    机译:汞;沉积;空间;阿地伦达克;生物地球化学;
  • 入库时间 2022-08-17 13:27:16

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