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The Role of Narratives in Sociohydrological Models of Flood Behaviors

机译：叙事在洪水行为社会水文学模型中的作用

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While current efforts to model sociohydrologic phenomena provide crucial insight, critics argue that these do not fully reflect the complexity one observes empirically in the real world. The policy sciences, with its focus on the interaction between human agency and the institutions that constrain public choice, can complement such efforts by providing a narrative approach. This paper demonstrates this complementarity by investigating the idea of resilience in a community response to floods. Using the quantitative Q methodology, we trace the dynamics of a common sociohydrologic hypothesisthe memory effect and how it decreases vulnerability and, more crucially, the instances when such memory effects do not obtain. Our analysis of a floodprone maladaptive community in Assam, India, finds four distinct narrative types: the Hardened Preparer, the Engineer, Discontent, and the Pessimist. This paper put forward an explicitly sociohydrological conception of resilience which takes into account the role of sociological indicators such as narrative types and perceptions. Such contextual understandings and narrative types can form the basis of generic resilience indicators which complement the anticipated outcomes of sociohydrologic models generally.
机译：尽管目前对社会水文现象进行建模的努力提供了重要的见识，但批评家认为，这些并不能完全反映人们在现实世界中凭经验观察到的复杂性。政策科学的重点是人类机构与限制公共选择的机构之间的相互作用，它可以通过提供叙事方法来补充这种努力。本文通过调查社区应对洪灾的抵御能力的概念来证明这种互补性。使用定量Q方法，我们追踪了一个常见的社会水文假说的动态，记忆效应以及它如何降低脆弱性，更重要的是，没有获得这种记忆效应的情况。我们对印度阿萨姆邦易发洪水的适应不良社区的分析发现了四种不同的叙事类型：强硬的准备者，工程师，不满者和悲观主义者。本文提出了一个明确的社会水文应变能力概念，其中考虑了叙事类型和感知等社会学指标的作用。这样的背景理解和叙述类型可以构成一般复原力指标的基础，这些指标通常可以补充社会水文学模型的预期结果。

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