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首页> 外文期刊>International journal of river basin management >Aggregating spatially explicit criteria: avoiding spatial compensation
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Aggregating spatially explicit criteria: avoiding spatial compensation

机译:汇总空间明确标准:避免空间补偿

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摘要

Since the shift from safety-oriented planning towards risk-based flood management planning, both hydrology/hydraulic research as well as operations research have made remarkable progress. Unfortunately, in the transfer of information between both areas of expertise, valuable spatial information is being lost, which may lead to flawed decision-making. Spatial aggregation of positive or negative criteria score across cells as is customary holds a major pitfall: spatial compensation at the river basin scale. If one cell's benefits outweigh another cell's detriments, these detriments are lost in the spatial aggregation process. However, not all variables are commensurable. A decision-maker might reasonably object to an alternative that generates additional damage, even if they are amply compensated elsewhere. Current aggregation procedures have more of a tendency to veil these problems then to deal with them. Moreover, valuable information defined as spatial equity is also often lost in the decision matrix. In this paper, classical criteria are changed and new criteria are selected to inhibit the abundant spatial compensation, add the variable of spatial equity and provide decision-makers with non-ensconced and therefore more accurate results. The shortcomings and error-proneness of the established frugal summation procedures are outlined by intuitive simplified examples. These examples also serve to illustrate and test the logical performance of the proposed methodology. To test their applicability, they are used in an actual test case, selected for the problem's intricacy.
机译:自从以安全为导向的规划转向以风险为基础的洪水管理规划以来,水文/水力研究以及运筹学均取得了显着进展。不幸的是,在这两个专业领域之间的信息传递中,宝贵的空间信息正在丢失,这可能会导致错误的决策。通常,在整个单元中对正面或负面标准进行评分的空间聚集存在一个主要陷阱:流域尺度上的空间补偿。如果一个单元的利益大于另一单元的损害,那么这些损害就会在空间聚合过程中丢失。但是,并非所有变量都是可衡量的。决策者可能会合理地反对会产生额外损害的替代方案,即使这些替代方案在其他地方得到了充分补偿。当前的聚集过程更倾向于掩盖这些问题然后加以解决。此外,在决策矩阵中通常还会丢失定义为空间公平性的有价值的信息。在本文中,改变了经典标准,选择了新的标准来抑制丰富的空间补偿,增加空间公平性变量,并为决策者提供不受约束的,因此更准确的结果。通过直观的简化示例概述了已建立的节俭求和过程的缺点和易错性。这些示例还用于说明和测试所提出方法的逻辑性能。为了测试它们的适用性,将它们用于实际测试案例中,以针对问题的复杂性进行选择。

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