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首页> 外文期刊>Environmental toxicology and chemistry >MODELING MERCURY BIOMAGNIFICATION (SOUTH RIVER, VIRGINIA, USA) TO INFORM RIVER MANAGEMENT DECISION MAKING
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MODELING MERCURY BIOMAGNIFICATION (SOUTH RIVER, VIRGINIA, USA) TO INFORM RIVER MANAGEMENT DECISION MAKING

机译：模拟汞生物放大率（美国弗吉尼亚州南河），以告知河流管理决策

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摘要

Mercury trophic transfer in the South River (VA, USA) was modeled to guide river remediation decision making. Sixteen different biota types were collected at six sites within 23 river miles. Mercury biomagnification was modeled using a general biomagnification model based on δ~(15)N and distance from the historic mercury release. Methylmercury trophic transfer was clearer than that for total Hg and, therefore, was used to build the predictive model (r~2_(prediction)= 0.76). The methylmercury biomagnification factors were similar among sites, but model intercept did increase with distance down river. Minimum Akaike's Information Criterion Estimation (MAICE) justified the incorporation of distance in the model. A model with a very similar biomagnification factor to the South River (95% confidence intervals [CI] = 0.38-0.52) was produced for a second contaminated Virginia river, the North Fork Holston River (95% CI = 0.41-0.55). Percent of total Hg that was methylmercury increased monotonically with trophic position. Trophic models based on δ~(15)N were adequate for predicting changes in mercury concentrations in edible fish under different remediation scenarios.
机译：建立了南河（美国弗吉尼亚州）的水银营养转移模型，以指导河流整治决策。在23英里内的六个地点收集了十六种不同的生物群类型。汞生物放大倍数是根据δ〜（15）N和距历史汞释放距离的通用生物放大倍数模型建立的。甲基汞的营养传递比总汞的传递更清晰，因此用于建立预测模型（r〜2_（预测）= 0.76）。地点之间的甲基汞生物放大倍数相似，但模型截取量随下游距离的增加而增加。最小Akaike的信息标准估计（MAICE）证明了在模型中纳入距离的合理性。针对第二条受污染的弗吉尼亚河（北叉霍尔斯顿河）（95％CI = 0.41-0.55）生产了一个模型，该模型的生物放大系数与南河非常相似（95％置信区间[CI] = 0.38-0.52）。甲基汞中总汞的百分比随营养位置而单调增加。基于δ〜（15）N的营养模型足以预测不同修复方案下食用鱼中汞浓度的变化。

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