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Steady-state distributed modeling of dissolved oxygen in data-poor, sewage dominated river systems using drainage networks

机译:使用排水管网的数据贫乏,污水占主导的河流系统中溶解氧的稳态分布建模

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摘要

The determination of water quality along a river drainage network is of paramount importance for many environmental applications. Whereas several codes have been proposed to deal with this problem along a single reach of a river, no simple solution has been proposed for a complex river network. In this contribution, a methodology is presented for preliminary screening of river water quality at the watershed-scale and at steady state. The solution process exploits the information contained within the watershed's space-filling drainage network (SFDN), that is automatically computed by processing the raster map of the watershed's elevations. To this end, a visiting algorithm for non-binary trees is coupled to a Newton-Raphson method that locally solves the system of nonlinear water-quality mass balances. We believe that the resulting framework will be especially valuable for initial screening analyses in data-poor watersheds. A free code called Q2T that implements the described methods is provided.
机译:对于许多环境应用而言,确定沿河排水网络的水质至关重要。尽管已经提出了几个规则来处理一条河流的单个问题,但是对于复杂的河网,还没有提出简单的解决方案。在这项贡献中,提出了一种用于在流域规模和稳定状态下初步筛选河流水质的方法。解决方案过程利用流域空间填充排水网络(SFDN)中包含的信息,该信息是通过处理流域高程的栅格图自动计算得出的。为此,将非二叉树的访问算法与Newton-Raphson方法耦合,该方法可以局部求解非线性水质质量平衡系统。我们认为,由此产生的框架对于缺乏数据的分水岭的初步筛选分析将特别有价值。提供了实现上述方法的称为Q2T的免费代码。

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