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首页> 外文期刊>Stochastic environmental research and risk assessment >Assessing structural uncertainty caused by different weighting methods on the Standardized Drought Vulnerability Index (SDVI)
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Assessing structural uncertainty caused by different weighting methods on the Standardized Drought Vulnerability Index (SDVI)

机译:在标准干旱脆弱性指数(SDVI)上评估不同加权方法导致的结构不确定性

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摘要

Indices are used for representing complex phenomena; however, concerns usually arise regarding their objectivity and reliability, particularly dealing with their uncertainties during the development process. The current overarching objective is to reveal the significance of employing different weighting techniques in the application of the Standardized Drought Vulnerability Index (SDVI) and demarcate any pertinent implications that may emerge in drought decision making. Greece, as it is very often facing the catastrophic effects of droughts, presents an almost ideal case for the SDVI testing. SDVI outcomes were tested utilizing five weighting techniques deriving from four weighting methods. The analyses indicated that the use of complex weighting models may not be necessary in all cases and that the simple equal weighting method seems more effective to estimate drought vulnerability. It also seems more important to address the search for valid, reliable and relevant individual indicators forming the complex index as well as appropriate index development processes that would measure performance of water bodies, systems and schemes, monitor the process of equitable sharing, and provide mechanisms for monitoring the state and changes in interdependent water systems.
机译:索引用于表示复杂现象;但是,通常会担心它们的客观性和可靠性,尤其是在开发过程中处理它们的不确定性时。当前的首要目标是揭示在标准干旱脆弱性指数(SDVI)的应用中采用不同加权技术的重要性,并划定干旱决策中可能出现的任何相关含义。希腊由于经常面临干旱的灾难性影响,因此为SDVI测试提供了几乎理想的案例。 SDVI结果使用源自四种加权方法的五种加权技术进行了测试。分析表明,并非在所有情况下都必须使用复杂的加权模型,并且简单的均等加权方法似乎更有效地估计干旱脆弱性。寻找有效,可靠和相关的个体指标以形成复杂的指标以及适当的指标制定流程似乎更为重要,这些指标将衡量水体,系统和计划的绩效,监测公平共享的流程并提供机制用于监视相互依赖的水系统的状态和变化。

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