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Estimation of diffuse pollution loads in Europe for continental scale modelling of loads and in-stream river water quality

机译:估算欧洲的弥漫性污染负荷,以对负荷和河内河流水质进行大陆规模建模

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An export coefficient model of diffuse pollution at large scales has been developed as part of a larger study investigating and mapping the present and future patterns of the quantity and quality of European water resources. The model was developed to provide reasonable estimates across the whole of Europe based on readily accessible datasets, and that would be amenable to application within a gridded model of water quality loadings to surface waters. The export coefficient models for biochemical oxygen demand (BOD), total nitrogen (TN) and total phosphors (TP) were fitted to data from European Union European Environment Agency databases of 79–106 selected river basins around Europe depending on the variable in question. Estimated export coefficients were on a reasonable level with estimates made by other methods within Europe. Firstly, it was shown that runoff, number of livestock and point load were common factors for BOD, TP and TN loads with runoff as the most important factor. Secondly, cropland area also contributed to diffuse TN load. Thirdly, average slope steepness and runoff, as a combined factor, had a negative effect on diffuse TP load. Fourthly, lake area reduced diffuse loads because of retention mechanisms in lakes. A larger set of data with higher spatial and temporal resolution and partitioning of the data based on, e.g. climate or spatial patterns would further improve the precision of the export coefficient estimates. When applied at the catchment scale, the parameters should be updated with local data. In the long run, adaptive modelling should be applied in order to fit the model to continuously accumulating data and experience, although the study showed that the export coefficients derived were stable over time. It is also advisable to integrate the administrative monitoring, modelling and management of river basins more closely to improve data availability, model predictions and cost efficiency of management measures and policies. Copyright © 2012 John Wiley & Sons, Ltd.
机译:作为调查和绘制欧洲水资源数量和质量的当前和未来模式的大型研究的一部分,已经开发了大规模扩散污染的出口系数模型。该模型的开发目的是根据易于获得的数据集在整个欧洲范围内提供合理的估算,并且该模型将适合在地表水水质负荷的网格化模型中应用。根据相关变量,将生化需氧量(BOD),总氮(TN)和总磷(TP)的出口系数模型拟合到欧盟欧洲环境署对欧洲79-106个选定流域的数据库中的数据。估计的出口系数与欧洲其他方法得出的估计值处于合理水平。首先,径流,牲畜数量和点负荷是BOD,TP和TN负荷的共同因素,其中径流是最重要的因素。其次,耕地面积也造成了总氮负荷的分散。第三,平均坡度和径流是一个综合因素,对分散的TP负荷有负面影响。第四,由于湖泊中的滞留机制,湖泊面积减少了分散负荷。具有较高空间和时间分辨率的较大数据集,并基于例如气候或空间格局将进一步提高出口系数估计的准确性。在流域尺度应用时,应使用本地数据更新参数。从长远来看,尽管研究表明导出的出口系数随时间推移是稳定的,但应该应用自适应建模以使模型适合不断积累的数据和经验。还建议更紧密地整合流域的行政监控,建模和管理,以提高数据可用性,模型预测以及管理措施和政策的成本效率。版权所有©2012 John Wiley&Sons,Ltd.

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