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HEM Impoundment—A Numerical Prediction Tool for the Water Framework Directive Assessment of Impounded River Reaches
Water ( IF 3.4 ) Pub Date : 2020-04-07 , DOI: 10.3390/w12041045 Michael Tritthart , Peter Flödl , Helmut Habersack , Christoph Hauer
Water ( IF 3.4 ) Pub Date : 2020-04-07 , DOI: 10.3390/w12041045 Michael Tritthart , Peter Flödl , Helmut Habersack , Christoph Hauer
A novel prediction tool is presented as a component of the Habitat Evaluation Model (HEM), which allows the assessment of the ecological status of impounded water bodies based on environmental factors that were shown in literature to correlate with the abundance of benthic macro-invertebrates. Main model parameters are the observed grain sizes and depth-averaged flow velocities obtained from a hydrodynamic simulation. The tool was tested in three Austrian river reaches. It was found that the river lengths predicted to be ecologically affected by the impoundments were substantially shorter for mean flow conditions than previously assessed when employing a physical mapping approach. The differences disappeared for low discharge conditions. The numerical prediction tool allows us to perform a status assessment for discharge conditions, which are potentially more representative of the annual discharge spectrum than those within the in-situ observable range. This property, thus, bears the potential to facilitate the recommendation of sediment management strategies in impounded river reaches in the future.
中文翻译:
HEM 蓄水——一种用于蓄水河段水框架指令评估的数值预测工具
作为栖息地评估模型 (HEM) 的一个组成部分,提出了一种新的预测工具,它允许根据文献中显示的与底栖大型无脊椎动物丰度相关的环境因素来评估蓄水水体的生态状况。主要模型参数是从流体动力学模拟中获得的观察到的晶粒尺寸和深度平均流速。该工具在奥地利的三个河段进行了测试。结果发现,在平均流量条件下,预计受蓄水池生态影响的河流长度比以前采用物理绘图方法评估的河流长度要短得多。对于低放电条件,差异消失了。数值预测工具使我们能够对排放条件进行状态评估,与原位可观察范围内的排放光谱相比,它们可能更能代表年度排放光谱。因此,该特性具有促进未来蓄水河段沉积物管理策略推荐的潜力。
更新日期:2020-04-07
中文翻译:
HEM 蓄水——一种用于蓄水河段水框架指令评估的数值预测工具
作为栖息地评估模型 (HEM) 的一个组成部分,提出了一种新的预测工具,它允许根据文献中显示的与底栖大型无脊椎动物丰度相关的环境因素来评估蓄水水体的生态状况。主要模型参数是从流体动力学模拟中获得的观察到的晶粒尺寸和深度平均流速。该工具在奥地利的三个河段进行了测试。结果发现,在平均流量条件下,预计受蓄水池生态影响的河流长度比以前采用物理绘图方法评估的河流长度要短得多。对于低放电条件,差异消失了。数值预测工具使我们能够对排放条件进行状态评估,与原位可观察范围内的排放光谱相比,它们可能更能代表年度排放光谱。因此,该特性具有促进未来蓄水河段沉积物管理策略推荐的潜力。