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Application Of Fuzzy Models To Assess Susceptibility To Droughts From A Socio-economic Perspective

机译:社会经济视角下的模糊模型在干旱敏感性评估中的应用

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摘要

By combining the concepts of environmental stress, state susceptibility and environmental crisis, 'Security Diagram' (SD) provides a quantitative approach to assessing environmental change and human security.The SD is a tool that clearly presents in a diagram the security situation of a population or region affected by a particular environmental crisis.Its underlying concept emphasises that the higher the level of environmental stress and socio-economic susceptibility, the higher the probability of the occurrence of crisis.Focusing on drought, this study analyses the susceptibility of case study regions in India, Portugal, and Russia from a socio-economic perspective.A conceptual framework of socio-economic susceptibility is developed based on the economic development theories of modernisation and dependency.Fuzzy set theory is used to generate susceptibility indices from a range of national and sub-national indicators, including financial resources, agricultural dependency and infrastructure development (for economic susceptibility), and health condition, educational attainment and gender inequality (for social susceptibility).Results indicate that socio-economic susceptibility over the period 1980-1995 was highest in India, followed by Russia and (since 1989) lowest in Portugal.Globalisation is likely to contribute to changes in the level of socio-economic susceptibility over time.Moreover, specific social and economic structures unique in each country (e.g., the role of women in society in India, the socialist legacy in Russia) may explain differences in susceptibility between the case study regions.
机译:通过结合环境压力,国家易感性和环境危机的概念,“安全图”(SD)提供了一种评估环境变化和人类安全的定量方法。SD是一种在图表中清晰呈现人口安全状况的工具。或受特定环境危机影响的地区。其基本概念强调环境压力和社会经济敏感性越高,发生危机的可能性越高。针对干旱,本研究分析了案例研究区域的敏感性从社会经济角度分析印度,葡萄牙和俄罗斯的社会经济易感性的概念框架。该模型基于现代化和依赖的经济发展理论而建立;模糊集理论用于从一系列国家和地区产生易感性指数。地方以下指标,包括财政资源,对农业的依赖性和基础设施(经济易感性),健康状况,教育程度和性别不平等(社会易感性)。结果表明,1980-1995年期间,社会经济易感性在印度最高,其次是俄罗斯,(自1989年以来)最低随着时间的流逝,全球化可能会促进社会经济敏感性水平的变化。此外,每个国家都具有特定的特定社会和经济结构(例如,妇女在印度社会中的作用,俄罗斯的社会主义遗产)可以解释案例研究区域之间的敏感性差异。

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