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Development and application of a hybrid model to analyze spatial distribution of macroinvertebrates under flow regulation in the Lijiang River

机译:丽江水流调节下无脊椎动物空间分布分析混合模型的开发与应用

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Alteration of natural flow regime due to reservoir operation imposes serious impacts on the aquatic ecosystem. To investigate the effects on the spatial distribution of macroinvertebrates, this study developed a hybrid ecohydraulics model which integrated a two-dimensional water quality module with an artificial neural network (ANN) based macroinvertebrate habitat module. The developed model was applied to a compound channel in the middle of the Lijiang River, where the flow in dry season has been largely modified by the Qingshitan Reservoir in the upstream. Semisulcospira amurensis (S. amurensis) which is the dominant macroinvertebrate species in the whole river basin was studied. The simulation and comparison results indicate that in general the flow regulation in dry season has negative impacts on the distribution of S. amurensis. The distribution area decreases, and in particular it becomes seriously fragmented. The model can be used through scenario analyses to adjust reservoir operation, so as to improve river management for ecological interest. In addition, the hybrid approach proposed in the paper has great potentials in studying this type of problems.
机译:由于水库运行而引起的自然流态的变化对水生生态系统造成了严重影响。为了研究对大型无脊椎动物栖息地空间分布的影响,本研究开发了一种混合生态水力模型,该模型将二维水质模块与基于大型无脊椎动物栖息地模块的人工神经网络(ANN)集成在一起。所开发的模型被应用于漓江中部的复合河道,上游的青石滩水库对旱季的流量进行了很大的修改。研究了整个流域主要的无脊椎动物主要物种半硫化螺(S. amurensis)。模拟和比较结果表明,一般而言,旱季的流量调节对沙门氏菌的分布有负面影响。分布区域减少,尤其是变得严重分散。该模型可通过情景分析用于调整水库调度,从而改善河流管理的生态效益。此外,本文提出的混合方法在研究这类问题方面具有很大的潜力。

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