Comparing Flood Damages to an Industrial Region in Turkey, Using Several Methods

IF 1 4区 经济学 Q3 ECONOMICS
Pinar Spor, Emrah Dogan
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引用次数: 0

Abstract

Floods are one of the disasters that cause the greatest damage to social life, living health, economy and environment. This paper reveals the calculation of the economic damage of the commercial areas located near the creek due to floods in Sakarya, Dinsiz Stream. In this study, first, flood propagation maps were produced according to 50, 100, 200 and 500 years of flood flow periods that may occur in the study area. The HECRAS program was used to produce the flood maps and a 2D model was created from these maps, water level maps were obtained and then depth damage curves were used to figure out the economic losses leading to flood. In addition to the Huizinga, van Eck and Kok, ICBR, Pistrika and Jonkman flood damage assessment methods, which are frequently used in the literature, the HAZUS-MH method was used to calculate the economic losses that may occur in commercial areas. While HAZUS has functions that make separate calculations for each commercial sector, in other methods, calculations are made over the total area without sector discrimination. In addition, HAZUS has more detailed ranges of flooding water depths and therefore the calculation of damage rates corresponding to water depths can be done with higher precision than other methods. According to the data obtained as a result of the study, the losses exceeded million euros in all methods, while the highest values were in the Pistrika and Jonkman methods.
用几种方法比较土耳其一个工业区的水灾损失
洪水是对社会生活、人类健康、经济和环境造成最大危害的灾害之一。本文揭示了Dinsiz河Sakarya河流域洪水对河流附近商业区经济损失的计算。本研究首先根据研究区可能发生的50年、100年、200年和500年的洪水周期绘制洪水传播图。利用HECRAS程序制作洪水图,并根据洪水图建立二维模型,得到水位图,利用深度损害曲线计算洪水造成的经济损失。除了文献中经常使用的Huizinga、van Eck和Kok、ICBR、Pistrika和Jonkman洪水损害评估方法外,还使用HAZUS-MH方法计算商业区域可能发生的经济损失。虽然HAZUS具有对每个商业部门进行单独计算的功能,但在其他方法中,计算是对整个区域进行的,没有部门歧视。此外,HAZUS具有更详细的淹没水深范围,因此与其他方法相比,计算相应水深的损伤率可以达到更高的精度。根据研究结果获得的数据,所有方法的损失都超过了百万欧元,而Pistrika和Jonkman方法的损失最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.90
自引率
9.10%
发文量
26
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