利用粒子追踪法模拟大肠杆菌在海洋中的迁移和减少

Q3 Earth and Planetary Sciences
Anja Lešek, D. Žagar
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引用次数: 1

摘要

我们讨论了大肠杆菌在海洋环境中的运输和死亡的建模。根据来自Rižana河的细菌进入Koper湾东部计算域的Mancini方程,利用外推的环境参数测量数据,计算出大肠杆菌的空间变异死亡系数。利用预先计算的循环数据和改进的颗粒跟踪模型Nafta3D,我们对单个源的瞬时释放和连续释放进行了为期两天的模拟。我们分析了游离大肠杆菌(ECF)和与悬浮固体结合的大肠杆菌(ECA)两种颗粒类型的位置。然后,我们用一个新开发的死亡模型,应用一级动力学方程,分析了ECA和ECF活性的降低。在给定的条件下,非洲经委会的绝大多数仍留在科佩尔港的第二个盆地并沉入海底。90%的ECA (T90)消退时间在48小时左右。ECF离地面更近;他们移动得更快,大部分人放弃了第二个盆地。测定的T90分别为瞬时释放6小时和连续释放10小时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of the particle tracking method for modelling the transport and deceasing of Escherichia coli in the sea
We discuss modeling of the transport and decease of bacteria Escherichia coli in marine environments. We calculated the spatially variable decease coefficient of E. coli from the extrapolated measurement data on environmental parameters in accordance with Mancini's equation for bacteria stemming from the Rižana River and entering into the computational domain – the eastern part of the Koper Bay. Using pre-computed circulation data and the modified particle-tracking model Nafta3D we performed two-day simulations of an instantaneous and a continuous release from a single source. We analyzed locations of two particle types: free E. coli (ECF) and E. coli bound to suspended solids (ECA). We then analyzed the ECA and ECF activity decrease with a newly developed decease model, applying a first-order kinetics equation. In the given conditions a vast majority of ECA remained in the second basin of the Port of Koper and sank to the bottom layers. The decease time of 90% of the ECA (T90) was about 48 hours. The ECF remained closer to the surface; they moved more quickly and for the most part abandoned the second basin. The determined T90 was 6 and 10 hours in instantaneous and continuous release, respectively.
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来源期刊
Acta Hydrotechnica
Acta Hydrotechnica Environmental Science-Environmental Engineering
CiteScore
1.30
自引率
0.00%
发文量
1
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