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Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method

机译:基于PSR模型和Pythagoras模糊Topsis方法的洪水排水权分配

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摘要

To minimize losses caused by flooding of areas in a river basin, flood risk management may sacrifice the interests of some areas. Because of regional differences in natural and urban conditions, rankings of the urgencies of flood drainage rights allocations in different regions are of great practical significance to the realization of optimal allocations and reduction of damages. Based on the “pressure–state–response” (PSR) framework, this study designed an index system of flood drainage rights allocations in river basins for the comprehensive consideration of the different attributes of regional societies, environments, and technologies, as well as the differences in the quality of technical management and in the levels of social and economic development. A Pythagoras fuzzy TOPSIS method was used to evaluate the urgencies and determine the management of allocations in different areas. Eight cities in Jiangsu Province in the Huai River Basin were selected as the research objects. The results showed that pressure factors played dominant roles in the degrees of urgency. Among the cities, Nantong had the highest degree, followed by Taizhou, whereas Lianyungang had the lowest. The degrees in the central region of Jiangsu were higher than in the northern region.
机译:为了最大限度地减少河流河流域区域洪水造成的损失,洪水风险管理可能会牺牲某些地区的利益。由于自然和城市条件的区域差异,不同地区的洪水排水权拨款的急需排名对实现最佳分配和减少损害的巨大实际意义。本研究基于“压力 - 响应”(PSR)框架,设计了河流流域洪水排水权分配指数体系,以全面考虑区域社会,环境和技术的不同属性,以及技术管理质量和社会经济发展水平的差异。毕达哥拉斯模糊Topsis方法用于评估急促并确定不同领域的分配管理。淮河盆地江苏省八个城市被选为研究对象。结果表明,压力因素在紧急程度上发挥着主导作用。在城市中,南通的最高学位,其次是台州,而连云港有最低。江苏中心地区的程度高于北部地区。

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