The compound impact of rainfall, river flow and sea level on a watercourse through a coastal city: Methodology in making

IF 3.9 Q2 ENVIRONMENTAL SCIENCES
Sara Roth , Louise Söderberg , Henrik Aspegren , Salar Haghighatafshar
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引用次数: 0

Abstract

Due to climate change, future weather conditions will become more extreme. During recent years, several severe damages have been caused by heavy rainfalls in combination with riverine events. Even though the effects of compound events are known to be influential for flood hazard, the method for investigating these types of events is a novel area of expertise. In this study, a methodology was developed to investigate a watercourse, acting as a part of a stormwater drainage system in an urban coastal area, in a hydrodynamic model to find areas prone to flooding. The method was applied for Ståstorpsån in Trelleborg, Sweden. The model was a unified model for seasonal variability and compound events with scenarios developed based on series of data representing normal values of the boundary conditions rainfall, river flow and sea level. The result was analysed graphically and statistically as a flood hazard. The data used was based on data collected during the past 10 years for rain and sea level and 16 years of simulated river flow. The constructed rain events from gauge data all had a return time of less than 10 years. Therefore, the chosen events are considered to represent normal levels. For Trelleborg, the results from the hydrodynamic model indicate that compound events will increase the flood hazard with anincreasing time horizon. The visual analysis converges with earlier flood events, and hotspots are generally seen around bridges and culverts. For the studied area, there is a large seasonal variation in the flood hazard and with climate change, all seasons will cause more severe flood hazards. The effects experienced during a summer event, which is the most severe event today, are to be expected for all seasons in 2100. The effect seen during summer eventsis a combination of all three drivers. However, rain intensity is likely to be more influential for normal events. When a certain threshold value for sea level is reached, sea level becomes the most influential driver, overtaking the other drivers in importance.

降雨、河流流量和海平面对穿越沿海城市的水道的复合影响:制作方法
由于气候变化,未来的天气条件将变得更加极端。近年来,强降雨与河流事件的结合造成了几次严重破坏。尽管众所周知,复合事件的影响会对洪水灾害产生影响,但调查这类事件的方法却是一个全新的专业领域。在这项研究中,开发了一种方法,用于在水动力模型中调查作为城市沿海地区雨水排放系统一部分的水道,以发现易受洪水影响的区域。该方法适用于瑞典特雷勒堡的 Ståstorpsån。该模型是季节变化和复合事件的统一模型,根据代表边界条件降雨量、河流流量和海平面正常值的系列数据制定了各种方案。结果以图形和统计方式分析为洪水灾害。所使用的数据基于过去 10 年收集的降雨量和海平面数据以及 16 年的模拟河流流量。根据测量数据构建的雨量事件的重现时间均小于 10 年。因此,所选事件被认为代表正常水平。对于特雷勒堡,水动力模型的结果表明,随着时间跨度的增加,复合事件将增加洪水危害。视觉分析与早期的洪水事件相吻合,热点一般出现在桥梁和涵洞周围。在所研究的地区,洪水灾害的季节变化很大,随着气候变化,所有季节都会造成更严重的洪水灾害。目前最严重的洪水灾害是夏季洪水灾害,预计到 2100 年,所有季节的洪水灾害都将受到夏季洪水灾害的影响。夏季事件的影响是所有三个驱动因素的综合结果。然而,降雨强度对正常事件的影响可能更大。当海平面达到某个临界值时,海平面成为影响最大的驱动因素,其重要性超过其他驱动因素。
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
City and Environment Interactions
City and Environment Interactions Social Sciences-Urban Studies
CiteScore
6.00
自引率
3.00%
发文量
15
审稿时长
27 days
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