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Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method

机译:分配造林区以减少泥沙流量:整数规划公式和启发式求解方法

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Policy and decision makers dealing with environmental conservation and land use planning often require identifying potential sites for contributing to minimize sediment flow reaching riverbeds. This is the case of reforestation initiatives, which can have sediment flow minimization among their objectives. This paper proposes an Integer Programming (IP) formulation and a Heuristic solution method for selecting a predefined number of locations to be reforested in order to minimize sediment load at a given outlet in a watershed. Although the core structure of both methods can be applied for different sorts of flow, the formulations are targeted to minimization of sediment delivery. The proposed approaches make use of a Single Flow Direction (SFD) raster map covering the watershed in order to construct a tree structure so that the outlet cell corresponds to the root node in the tree. The results obtained with both approaches are in agreement with expert assessments of erosion levels, slopes and distances to the riverbeds, which in turn allows concluding that this approach is suitable for minimizing sediment flow. Since the results obtained with the IP formulation are the same as the ones obtained with the Heuristic approach, an optimality proof is included in the present work. Taking into consideration that the heuristic requires much less computation time, this solution method is more suitable to be applied in large sized problems.
机译:负责环境保护和土地利用规划的政策和决策者通常需要确定潜在的地点,以尽量减少流向河床的沉积物。造林倡议就是这种情况,可以在其目标中尽量减少泥沙流。本文提出了一种整数规划(IP)公式和一种启发式解决方案方法,用于选择预定义数量的要重新造林的地点,以最大程度地减少流域中给定出口处的泥沙负荷。尽管两种方法的核心结构均可用于不同类型的流量,但这些制剂的目标是最大程度地减少沉积物的输送。所提出的方法利用覆盖流域的单一流向(SFD)栅格地图来构建树结构,以便出口单元对应于树中的根节点。两种方法获得的结果均与侵蚀水平,坡度和到河床的距离的专家评估相一致,这反过来又可以断定该方法适用于最大程度地减少沉积物流量。由于通过IP公式获得的结果与通过启发式方法获得的结果相同,因此在当前工作中包括了最优性证明。考虑到启发式算法需要更少的计算时间,因此该解决方案方法更适合用于大型问题。

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