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Vulnerability of Canadian aquatic ecosystems to nuclear accidents

机译:加拿大水生生态系统对核事故的脆弱性

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Several cesium and strontium bioaccumulation models are used widely in national and international guidance for ecological and human health risk assessments for radiocesium (Cs-134 and Cs-137) and radiostrontium (Sr-90), but have not been used to make predictions of radiological risk from nuclear accidents under variable environmental conditions on broad geographical scales. In this paper, we first present models for predicting the bioaccumulation of cesium and strontium by aquatic biota based on ambient concentrations of dissolved potassium and calcium, respectively, and then test these models using independent data from aquatic ecosystems at Canadian nuclear sites. Secondly, models yielding the best predictions across a wide range of input parameters were selected to estimate bioaccumulation factors (BAFs) for cesium and strontium in aquatic ecosystems across Canada, using trophic level of organisms and dissolved potassium for cesium and calcium concentrations for strontium as predictor variables, and presented as contour maps of radiological risk. The models show that risk from bioaccumulation of cesium and strontium can vary by several orders of magnitude depending on site-specific environmental conditions and trophic ecology. Overall, our results suggest that single-parameter approaches taken by regulatory standards may either over- or under-predict radiological risk at many locations, and are thus not readily suitable to inform siting decisions for new nuclear developments.
机译:几种铯和锶生物累积模型广泛用于国内和国际对酰基(CS-134和CS-137)和Radiostrontium(SR-90)的生态和人体健康风险评估的指导,但尚未用来制定放射性的预测在广泛的地理标度下可变环境条件下核事故的风险。在本文中,我们首先通过分别基于溶解的钾和钙的周围浓度来预测水生生物群的模型,然后使用来自加拿大核网站的水生生态系统的独立数据来测试这些模型。其次,选择了在加拿大水生生态系统中的铯和锶的铯和锶的生物积累因子(BAF),使用促进铯和钙浓度作为预测的铯和钙浓度为预测的模型变量,并呈现为放射性风险的轮廓图。该模型表明,根据现场特定的环境条件和营养生态学,铯和锶的生物累积的风险可以变化几个数量级。总体而言,我们的结果表明,监管标准采取的单一参数方法可能会在许多地方预测放射性风险,因此不容易地为新的核发展提供信息。

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