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基于模型对中营养小型水库4号池塘铯动态的分析。一、估算池塘主要生物成分的存量及通量。

Model-based analyses of the cesium dynamics in the small mesotrophic reservoir, Pond 4. I. Estimating the inventories of and the fluxes among the pond's major biotic components.

作者信息

Jeong Hyojoon, Miller Vivien, Hinton Thomas G, Johnson Thomas E, Pinder John E

机构信息

Nuclear Environmental Safety Research Division, Korea Atomic Energy Research Institute, 989-111 Daedeok-daero, Yuseong-gu, Daejeon, 34057, South Korea.

Department of Radiological and Environmental Health Sciences, Colorado State University, Fort Collins, CO 80521, USA.

出版信息

J Environ Radioact. 2018 Sep;189:282-296. doi: 10.1016/j.jenvrad.2018.02.005. Epub 2018 Apr 10.

Abstract

A model of cesium (Cs) dynamics among the principal biotic and abiotic components of an 11.4-ha impoundment is described. The model is derived from analyses of field measurements of Cs-133 concentrations in pond components for 500 days following the addition of 4 kg of stable Cs-133 to the system. This study differs from similar experiments in which radionuclides, or their stable analogs have been added to small ponds in that the biomasses of key pond components were also obtained. The Cs-133 concentrations and biomasses were used to compute the dynamics of Cs-133 inventories and fluxes among the pond components. The model permits interesting comparisons of Cs-133 transport and fate over time among the pond's abiotic components, primary producers, and two-orders of consumers. The importance of the submerged macrophyte and periphyton community in controlling the transport and fate of the added Cs-133 is quantified. Macrophytes intercepted much of the Cs-133 and slowed its ultimate sequestration by the sediments. The macrophytes' rapid absorption and slow release of Cs-133 prolonged the availability of the element to other pond biota. These data are being used within a subsequent paper to further develop the model into one in which the Cs-133 kinetics are described by transfer coefficients so that effects of changing environmental variables and remediation options can be explored.

摘要

本文描述了一个11.4公顷蓄水池中铯(Cs)在主要生物和非生物成分间动态变化的模型。该模型源自对向系统中添加4千克稳定铯-133后500天内池塘各成分中铯-133浓度的现场测量分析。本研究与类似实验不同,在那些实验中放射性核素或其稳定类似物被添加到小池塘中,而本研究还获取了关键池塘成分的生物量。铯-133浓度和生物量被用于计算池塘各成分间铯-133存量和通量的动态变化。该模型允许对铯-133在池塘非生物成分、初级生产者和两个营养级消费者间随时间的迁移和归宿进行有趣的比较。量化了沉水大型植物和周丛生物群落对控制添加的铯-133迁移和归宿的重要性。大型植物拦截了大部分铯-133,并减缓了其最终被沉积物封存的速度。大型植物对铯-133的快速吸收和缓慢释放延长了该元素对其他池塘生物群的可利用性。后续论文将利用这些数据进一步将模型发展为一个用转移系数描述铯-133动力学的模型,以便探索环境变量变化和修复方案的影响。

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