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Modelling the emerging pollutant di-clofenac with the GREAT-ER model: application to the Llobregat River Basin.

机译:使用GREAT-ER模型对新兴污染物双氯芬酸进行建模:在Llobregat流域中的应用。

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摘要

Water from the Llobregat is used to supply a significant part of the city of Barcelona. At the same time, 60 wastewater treatment plants discharge into this basin. Two field campaigns conducted in the Llobregat Catchment detected more than 80 pharmaceu-ticals in the water. Therefore, it is clear that water quality in Llobregat is a potential concern. A GIS hydrology water quality model has been applied in order to predict the concentrations of one of the pharmaceuticals, diclofenac, in the catchment. Con-sumption, excretion, and degradation data has been studied to calibrate the model. This exercise proves that it is relatively straightforward to predict the concentrations of new and emerging contaminants at basin scale. Nonetheless, the limited and inac-curate available data was a relevant obstacle in this modelling process.
机译:Llobregat的水用于供应巴塞罗那市的很大一部分。同时,有60个废水处理厂排入该流域。在Llobregat集水区进行的两次野外运动在水中发现了80多种药物。因此,很明显,Llobregat的水质是一个潜在的问题。为了预测流域中一种药物双氯芬酸的浓度,已应用GIS水文水质模型。已经研究了消费,排泄和降解数据来校准模型。这项工作证明,在流域范围内预测新出现的污染物的浓度相对简单。但是,有限和不准确的可用数据是此建模过程中的一个相关障碍。

著录项

  • 作者

    Aldekoa, Joana;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 eng
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