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首页> 外文期刊>Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management >Multimedia Mercury Cycling in a Legacy Contaminated Tropical Montane Forest (Kodaikanal, India) and Implications for Monitoring and Assessment of Future Contaminated Regions
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Multimedia Mercury Cycling in a Legacy Contaminated Tropical Montane Forest (Kodaikanal, India) and Implications for Monitoring and Assessment of Future Contaminated Regions

机译：循环在遗产中的多媒体汞循环污染了热带蒙太金森林（Kodaikanal，印度）和对未来受污染区域的监测和评估的影响

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We use a multimedia mass balance model to assess mercury cycling in a contaminated tropical montane forest section, in Kodaikanal in South India. The forest section received more than 1,300 kg of direct mercury release from a now-defunct thermometer manufacturing factory between 1984 and 2002, and continues to receive rainfall runoff from the factory. Modeling results suggest that a complete or partial cleanup of factory soil in 2020 will marginally reduce the level of contamination of forest soil by 2050 compared with a no-cleanup scenario. Mass balance analysis showed that the dominant source of mercury to forest changed from atmospheric deposition in the uncon-taminated forest to direct inputs and runoff of mercury from the factory. Monte Carlo uncertainty analysis showed that the most sensitive parameters influencing the fate of mercury in the forest (for example, mass in soil or vegetation, and runoff to downstream) changed from those describing atmospheric deposition in the uncontaminated forest to those describing direct inputs and runoff of mercury from factory or forest soil and the partitioning of mercury to soil. Forest soil now acts and will continue to act as a source of mercury to downstream locations. For a better assessment of the effects of mercury pollution from any future contaminated sites, parameters such as sediment runoff, partitioning of mercury to soil, concentration of mercury species in air, and concentration of mercury in factory and forest soil must be regularly measured.
机译：我们使用多媒体大规模平衡模型来评估汞循环在南印度康卡纳尔的受污染的热带山林森林科中循环。从1984年至2002年之间的现代过度的温度计制造工厂获得了超过1,300公斤的直接汞释放，并继续从工厂获得降雨径流。建模结果表明，2020年工厂土壤的完整或部分清理将在2050年与禁止清理方案相比，2050年将在2050年下减少森林土壤的污染水平。大规模平衡分析表明，森林的主导来源从茂密的森林中的大气沉积发生变化，从工厂直接输入和径流。 Monte Carlo不确定性分析表明，影响森林中汞命运的最敏感的参数（例如，土壤或植被的质量，以及径流到下游）从描述的未污染森林中的大气沉积到描述直接输入和径流的那些从工厂或森林土壤中的汞和土壤汞的分区。森林土壤现在行为，并将继续作为下游地点的汞来源。为了更好地评估汞污染从任何未来的污染场所的影响，沉积物径流，汞般的污水的参数，空气中的汞浓度，以及工厂和森林土壤中的汞浓度，必须衡量。

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