ABSTRACT

Evaluating localized impacts of water allocation scenarios (WASs) is an important multi-attribute water decision problem. The impacts of WASs are not the same across a basin, and may have their own spatial variations. Conventional multi-attribute decision-making (MADM) is not capable of capturing and implementing the spatial variations. Using these methods often results in simplification or even oversimplification. Herein a new framework is developed involving a compromise programming approach (CP), fuzzy analytical hierarchy process (FAHP) and distributed indicators. The framework is applied to the Aras basin, Iran. Adaptation of the proposed framework leads to an evaluation of WASs based on their integrated localized impacts and spatial trade-offs. Results show that using lumped indicators rather than distributed indicators imposes significant uncertainties in the evaluation process. Applying CP, distributed indicators and fuzzy weights simultaneously extended the interval with stable ranking and allowed the determination of regional overall priorities and optimal spatial water allocation.

摘要

评估水资源分配方案 (WAS) 的局部影响是一个重要的多属性水资源决策问题。WAS 的影响在整个流域内并不相同，并且可能有其自身的空间变化。传统的多属性决策（MADM）无法捕捉和实施空间变化。使用这些方法通常会导致简化甚至过度简化。这里开发了一个新框架，涉及折衷编程方法 (CP)、模糊层次分析过程 (FAHP) 和分布式指标。该框架适用于伊朗的阿拉斯盆地。对拟议框架的调整导致基于 WAS 的综合局部影响和空间权衡对 WAS 进行评估。结果表明，使用集中指标而不是分布式指标会给评估过程带来很大的不确定性。应用CP、分布式指标和模糊权重同时扩展了具有稳定排名的区间，并允许确定区域整体优先级和最佳空间水资源配置。