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Comparing Two Hydro-Economic Approaches for Multi-Objective Agricultural Water Resources Planning
Water Resources Management ( IF 3.9 ) Pub Date : 2020-10-09 , DOI: 10.1007/s11269-020-02690-6
A. Alamanos , D. Latinopoulos , A. Loukas , N. Mylopoulos

Hydro-economic models are valuable tools that can be used in irrigated agriculture in order to improve the understanding of the status quo of water resources, the role of water in agriculture, and the system behavior under changing conditions. The present paper attempts to give insights on how different water management objectives and data availability may influence the specification/application of hydro-economic modeling, as well as the reliability and interpretation of their results. A Greek rural watershed located in Central Greece (Region of Thessaly) is used as a case study application. A common hydro-economic framework for sustainable water resources management in irrigated agriculture is examined, aiming to provide a simple and understandable tool for policymakers. In this framework two hydro-economic models (HEMs) were developed to address challenges regarding data limitations, spatial analysis, and scenario-based problems (e.g. agri-economic scenarios, water policy scenarios, environmental scenarios, etc.). A set of selection criteria was then used to qualitatively compare these two models, based on their advantages and disadvantages. The results of this analysis indicate that HEMs’ development must be quite flexible about their settings and must take into consideration the desired accuracy level that is likely to satisfy their main purpose/goal. The optimal approach is the one that can achieve a balance between simplicity, flexibility, accuracy and robustness.



中文翻译:

多目标农业水资源规划中两种水文经济方法的比较

水力经济模型是可用于灌溉农业的宝贵工具,目的是增进人们对水资源现状,水在农业中的作用以及在变化条件下的系统行为的了解。本文试图就不同的水管理目标和数据可用性如何影响水经济模型的规范/应用以及其结果的可靠性和解释给出见解。案例研究应用了位于希腊中部(色萨利地区)的希腊乡村流域。审查了灌溉农业可持续水资源管理的通用水力经济框架,旨在为决策者提供一种简单易懂的工具。在此框架中,开发了两个水力经济模型(HEM),以应对有关数据限制,空间分析和基于情景的问题(例如农业经济情景,水政策情景,环境情景等)的挑战。然后根据它们的优缺点,使用一组选择标准对这两个模型进行定性比较。分析结果表明,HEM的开发必须在设置方面非常灵活,并且必须考虑可能满足其主要目的/目标的所需精度水平。最佳方法是可以在简单性,灵活性,准确性和鲁棒性之间取得平衡的方法。环境场景等)。然后根据它们的优缺点,使用一组选择标准对这两个模型进行定性比较。分析结果表明,HEM的开发必须在设置方面非常灵活,并且必须考虑可能满足其主要目的/目标的所需精度水平。最佳方法是可以在简单性,灵活性,准确性和鲁棒性之间取得平衡的方法。环境场景等)。然后根据它们的优缺点,使用一组选择标准对这两个模型进行定性比较。分析结果表明,HEM的开发必须在设置方面非常灵活,并且必须考虑可能满足其主要目的/目标的所需精度水平。最佳方法是可以在简单性,灵活性,准确性和鲁棒性之间取得平衡的方法。分析结果表明,HEM的开发必须在设置方面非常灵活,并且必须考虑可能满足其主要目的/目标的所需精度水平。最佳方法是可以在简单性,灵活性,准确性和鲁棒性之间取得平衡的方法。分析结果表明,HEM的开发必须在设置方面非常灵活,并且必须考虑可能满足其主要目的/目标的所需精度水平。最佳方法是可以在简单性,灵活性,准确性和鲁棒性之间取得平衡的方法。

更新日期:2020-10-11
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