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首页> 外文期刊>Ocean & coastal management >Hazard assessment of bacterial contamination in coastal waters using a metocean modeling system: Application to bivalve mollusk harvesting areas in Cadiz Bay (SW Spain)
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Hazard assessment of bacterial contamination in coastal waters using a metocean modeling system: Application to bivalve mollusk harvesting areas in Cadiz Bay (SW Spain)

机译：使用海洋模式建模系统评估沿海水域细菌污染的危害：在加的斯湾（西班牙西班牙）的双壳软体动物收获区中的应用

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摘要

Metocean modeling resources from an operational oceanography system are applied to assess the hazard of bacterial contamination, resulting from domestic/industrial wastewater discharged into potential bivalve mollusk harvesting areas in Cadiz Bay (Andalusia). The proposed methodology is aimed to at meeting the European Union regulations and best practices for the management and monitoring of this harvesting activity. Modeled current fields, corresponding to scenarios with different wind and tidal conditions, are incorporated in a Lagrangian particle-tracking model, specifically designed to simulate the fate of the bacterial content of wastewaters discharged into the Bay. Numerical results are used to obtain various indices of occurrence and hazard maps of fecal contamination in seawater. The proposed indices also allow estimating fecal contamination fields if appropriate information of discharges and bacterial loads of the wastewater sources are available. Qualitative validation of results shows considerable agreement with measured contamination patterns. The areas with highest exposure to bacterial contamination are the Sancti Petri Channel and the central region of the Inner Bay, although a substantial variability depending on wind conditions is found. Unauthorized occasional wastewater discharges have a considerable impact on local water quality, while regulated wastewater sources are responsible for the larger-scale bacterial contamination pattern. The methodology developed is exportable to other environments and coastal management activities.
机译：来自运营中的海洋学系统的Metocean建模资源被用于评估细菌污染的危害，这些污染是由排入加的斯湾（安达卢西亚）的潜在双壳软体动物收获区的生活/工业废水所致。拟议的方法旨在满足欧洲联盟有关该收获活动的管理和监测的法规和最佳实践。对应于具有不同风和潮汐条件的情景的模拟电流场被纳入拉格朗日粒子跟踪模型中，该模型专门设计用于模拟排入海湾的废水中细菌含量的去向。数值结果用于获得海水中粪便污染的各种发生指数和危害图。如果可以获得废水源排放和细菌负荷的适当信息，建议的指标还可以估计粪便污染区域。结果的定性验证表明与测得的污染模式相当一致。受细菌污染影响最大的地区是Sancti Petri海峡和内湾的中部地区，尽管随风的条件而变化很大。未经授权的偶尔废水排放对当地水质有相当大的影响，而受管制的废水源是大规模细菌污染的原因。所开发的方法可导出到其他环境和沿海管理活动。

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