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Successful modelling of river dissolved oxygen dynamics requires knowledge of stream channel environments
Journal of Hydrology ( IF 6.4 ) Pub Date : 2021-09-25 , DOI: 10.1016/j.jhydrol.2021.126991
Michael G. Hutchins 1 , Yueming Qu 1 , Matthew B. Charlton 2
Affiliation  

Water quality in lowland rivers is sensitive to changes in flow during summer dry periods, when high temperatures and low pollutant dilution are problematic and may reduce oxygen concentrations to levels of ecological concern. A 10-year period of monitoring data was collated for a typical small lowland UK river. Two hourly-resolution applications of a process-based water quality model (QUESTOR) were made, with and without local knowledge, to establish whether specific information on stream channel hydraulics is an essential precursor to successful simulation. Results showed this information to be necessary, with considerably better goodness-of-fit statistics obtained when the local knowledge was used. In this regard, mean improvements in Nash-Sutcliffe Efficiency across all monitoring sites were from −0.33 to 0.18 and from 0.24 to 0.78 for dissolved oxygen and water temperature respectively. Percent bias was within 10% for the local model. The 10-year record also allowed a detailed characterisation of how changes in flow, as described by a comprehensive range of Indicators of Hydrological Alteration, relate to the water quality determinants. Analysis revealed these dynamics were also captured more realistically when the model was driven by local knowledge. The research concludes that river dissolved oxygen simulations driven by national-level information are of some value as screening tools, but model refinement supported by sufficient provision of local information is necessary when detailed simulations are required to support specific decision-making.



中文翻译:

成功模拟河流溶解氧动力学需要了解河道环境

低地河流的水质对夏季干旱期的流量变化很敏感,此时高温和低污染物稀释是有问题的,可能会将氧气浓度降低到生态问题的水平。对一条典型的英国低地小河流的 10 年监测数据进行了整理。对基于过程的水质模型 (QUESTOR) 进行了两次每小时分辨率的应用,无论有没有本地知识,以确定有关河道水力学的特定信息是否是成功模拟的必要前提。结果表明这些信息是必要的,当使用局部知识时,获得的拟合优度统计数据要好得多。在这方面,所有监测站点的 Nash-Sutcliffe 效率平均提高从 -0.33 到 0.18 和从 0.24 到 0。溶解氧和水温分别为 78。局部模型的百分比偏差在 10% 以内。10 年的记录还允许详细描述流量变化(如一系列综合水文变化指标所描述的)与水质决定因素之间的关系。分析表明,当模型由本地知识驱动时,这些动态也被更真实地捕获。研究得出的结论是,由国家级信息驱动的河流溶解氧模拟作为筛选工具具有一定的价值,但当需要详细模拟以支持特定决策时,需要充分提供本地信息来支持模型细化。10 年的记录还允许详细描述流量变化(如一系列综合水文变化指标所描述的)与水质决定因素之间的关系。分析表明,当模型由本地知识驱动时,这些动态也被更真实地捕获。研究得出的结论是,由国家级信息驱动的河流溶解氧模拟作为筛选工具具有一定的价值,但当需要详细模拟以支持特定决策时,需要充分提供本地信息来支持模型细化。10 年的记录还允许详细描述流量变化(如一系列综合水文变化指标所描述的)与水质决定因素之间的关系。分析表明,当模型由本地知识驱动时,这些动态也被更真实地捕获。研究得出的结论是,由国家级信息驱动的河流溶解氧模拟作为筛选工具具有一定的价值,但当需要详细模拟以支持特定决策时,需要充分提供本地信息来支持模型细化。分析表明,当模型由本地知识驱动时,这些动态也被更真实地捕获。研究得出的结论是,由国家级信息驱动的河流溶解氧模拟作为筛选工具具有一定的价值,但当需要详细模拟以支持特定决策时,需要充分提供本地信息来支持模型细化。分析表明,当模型由本地知识驱动时,这些动态也被更真实地捕获。研究得出的结论是,由国家级信息驱动的河流溶解氧模拟作为筛选工具具有一定的价值,但当需要详细模拟以支持特定决策时,需要充分提供本地信息来支持模型细化。

更新日期:2021-10-06
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