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Multi-objective analysis of dam release flows in rivers downstream from hydropower reservoirs

机译：水库下游河流水坝泄洪流的多目标分析

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摘要

This paper assesses dam releases from hydropower reservoirs in order to optimize power production and fish habitat protection. A multi-objective programming model includes output from 2-D hydraulic simulation for habitat assessment to optimize power production and fish habitat suitability as a Pareto set. To identify the optimal Pareto set two different approaches are used and compared: e-constraint methods and non-dominant-sorting genetic algorithm (NSGAII). To formulate the ecological objective the river habitat quality is quantified by the weighted usable area (WUA). The relation between the WUA and the river flow-rate is obtained by using a 2D hydraulic model in which the hydraulic characteristics of river current - depth and velocity - are calculated by a finite difference numerical integration of two-dimensional shallow water equations on a boundary fitted non orthogonal curvilinear mesh. This approach allows the integration of motion equations on geometrically complex domains as those representing the morphology of natural watercourses. The performance of the proposed methodology is analyzed in a case study of a stretch of the Piave river downstream of the dam of the Pieve di Cadore reservoir (Belluno, Italy).
机译：本文评估了水电站水坝的泄洪情况，以优化发电量和鱼类栖息地保护。多目标编程模型包括来自二维水力模拟的输出，用于栖息地评估，以优化电力生产和鱼类栖息地的适应性（帕累托集）。为了确定最优的帕累托集，使用和比较了两种不同的方法：电子约束方法和非主导排序遗传算法（NSGAII）。为了制定生态目标，河流生境质量通过加权可用面积（WUA）进行量化。通过使用二维水力模型获得用水户协会与河流流量之间的关系，在该模型中，通过边界上二维浅水方程的有限差分数值积分来计算河流的水力特性（深度和速度）。拟合非正交曲线网格。这种方法允许将运动方程式在几何上复杂的域上进行积分，这些运动方程式代表自然水道的形态。在对Pieve di Cadore水库（意大利贝卢诺）大坝下游的Piave河段进行的案例研究中，分析了所提出方法的性能。

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