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日本一个沿海海湾富营养化及相关缺氧和无氧状况的模拟。

Simulation of eutrophication and associated occurrence of hypoxic and anoxic condition in a coastal bay in Japan.

作者信息

Karim Md Rezaul, Sekine Masahiko, Ukita Masao

机构信息

Department of Civil Engineering, Yamaguchi University, Ube City, Japan.

出版信息

Mar Pollut Bull. 2002;45(1-12):280-5. doi: 10.1016/s0025-326x(02)00098-x.

Abstract

A probabilistic method of calculating the occurrence of oxygen-depleted water within a combined hydrothermal and water quality model was presented in this paper to investigate the environmental impact of eutrophication on the living resources. The method was applied to an eutrophicated shallow coastal bay in western Japan, where the occurrence of red tides at the water surface and the onset of bottom hypoxic waters are observed every summer. Both meteorology and freshwater inflow contribute to the development of stratification of the bay, thus limiting the dissolved oxygen supply to bottom waters. The resulting hydrodynamics enhances the development of oxygen-depleted bottom waters by transporting organic matter produced by algal blooms to the inner bay, where it decomposes and exerts high SOD. During August, about 60% of the inner bay is hypoxic for prolonged durations and as a result most of the benthic biota and fish die. The method used here is a very useful and informative way to evaluate the spatial and temporal damage and severity caused by hypoxia on living resources. Moreover, the model results agreed very well with the observed hydrodynamics, thermal structure and water quality data of the stratified bay. The model can be used for other lakes and bays where knowledge of temperature and density stratification is important for assessing water quality.

摘要

本文提出了一种在水热与水质综合模型中计算贫氧水发生概率的方法,以研究富营养化对生物资源的环境影响。该方法应用于日本西部一个富营养化的浅海沿岸海湾,每年夏天都会在该海湾观测到水面赤潮和底层缺氧水域的出现。气象和淡水流入都有助于海湾分层的发展,从而限制了底层水的溶解氧供应。由此产生的水动力通过将藻类大量繁殖产生的有机物输送到内湾,促进了贫氧底层水的发展,有机物在内湾分解并产生高需氧量。在8月期间,内湾约60%的区域长时间处于缺氧状态,结果大多数底栖生物群和鱼类死亡。这里使用的方法是评估缺氧对生物资源造成的时空损害和严重程度的一种非常有用且信息丰富的方式。此外,模型结果与分层海湾观测到的水动力、热结构和水质数据非常吻合。该模型可用于其他湖泊和海湾,在这些地方,温度和密度分层知识对于评估水质很重要。

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