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Water quality modeling for the Kennet and Avon Canal, a navigational canal in an inland catchment

机译:Kennet和Avon运河(内陆流域的航行运河)的水质模型

摘要

The Kennet and Avon Canal in southern England is experiencing severe water quality problems caused by inorganic sediment and algae. These water quality problems are affecting the angling sport of fishermen downstream of the confluence of the canal with the River Kennet. The Environment Agency has been called upon to remedy these issues, but before proceeding they desire a computer model capable of predicting the water quality impacts of various scenarios under consideration. No such model was available to them.This project identified the key solids generation and transport processes to be included in a water quality model for inland navigational canals. Where available, equations from the literature describing relevant processes were used or modified for inclusion in a canal modeling algorithm. Where literature was not available, water quality samples were taken to characterize needed relationships. The final algorithm was coded and tested using a simplified dataset that allowed clear evaluation of the simulated processes.After successful testing, the canal model was applied to the Kennet and Avon Canal. The time series predicted by the model were compared to observed hydrological, solids, and chlorophyll-a (representing algae) data at multiple points in the canal. The model adequately predicted all of these constituents at the monitored locations.The final task in the project required evaluation of six management scenarios proposed by the Environment Agency to address the water quality problem. The model suggests that filtration or other treatment of water in the canal near the confluence with the river is the best management option, as it will address both the elevated inorganic sediment and algae concentrations at the most critical point in the canal. Less desirable options include efforts that only target inorganic sediment, which could increase algal concentrations by increasing light availability; and diversion of surface flows from the canal, which could possibly damage the hydrologic balance of the canal while encouraging undesirable algal growth.
机译:英格兰南部的Kennet和Avon运河正面临着由无机沉积物和藻类引起的严重水质问题。这些水质问题正在影响运河与肯尼特河汇合处下游渔民的钓鱼运动。已经要求环境署对这些问题进行补救,但是在进行之前,他们希望有一个能够预测所考虑的各种情景对水质的影响的计算机模型。他们没有这种模型。该项目确定了内河航道水质模型中所包含的关键固体产生和运输过程。在可获得的地方,使用或修改了描述相关过程的文献中的方程式,以将其包含在运河建模算法中。在没有文献的地方,取水质样本来描述所需的关系。使用简化的数据集对最终算法进行编码和测试,从而可以清晰评估仿真过程。成功测试后,将运河模型应用于Kennet和Avon运河。将模型预测的时间序列与渠道中多个位置处观测到的水文,固体和叶绿素-a(代表藻类)数据进行比较。该模型可以在受监控的位置充分预测所有这些成分。项目的最后任务是评估环境署为解决水质问题提出的六个管理方案。该模型表明,在与河流汇合处附近的运河中对水进行过滤或其他处理是最佳的管理选择,因为它将解决运河最关键点的无机沉积物和藻类浓度升高的问题。不太理想的选择包括仅针对无机沉积物的努力,这些沉积物可通过增加光的利用率来增加藻类的浓度;以及从运河转移地表水,这可能会破坏运河的水文平衡,同时又会导致藻类生长不良。

著录项

  • 作者

    Zeckoski Rebecca;

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  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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