Extreme precipitations and their influence on the River flood Hazards: A case study of the Sana River Basin in Bosnia and Herzegovina

IF 1.2 Q3 GEOGRAPHY Geographica Pannonica Pub Date : 2023-01-01 DOI:10.5937/gp27-45600
Luka Sabljić, Dragoslav Pavić, Stevan Savić, Davorin Bajić
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Abstract

The subject of the research paper is the use of remote sensing in monitoring and analyzing the impact of climate change on the occurrence of extreme precipitation, and the cause-and-effect occurrence of floods in the area of the Sana River Basin in Bosnia and Herzegovina. The goal is to process the "product" of remote sensing to identify the time intervals of occurrence of extreme precipitation, to assess their impact on water levels, and to map potential floods in space. Spatial identification of zones that are at risk of flooding is an integral part of the aforementioned goal. Precipitation monitoring was performed by processing Climate Hazards Group InfraRed Precipitation with Station Data through the Google Earth Engine platform. The observed 30-year period (1992-2022) was compared with the average precipitation for 2017, 2018 and 2019. The impact of extreme precipitation on the water level of the Sana River was analyzed. Flooding periods have been identified: February and December 2017, March 2018 and May 2019. Mapping of flooded areas was carried out by pre-processing and post-processing of Sentinel-1 radar satellite images. The total flooded area is: 710.38 ha (February 2017), 496.79 ha (December 2017), 417.86 ha (March 2018) and 422.42 ha (May 2019). Based on the identified flooded areas, a flood risk map was created on the main course of the Sana River. The research contributes to a better understanding of the changes that occur in the area under the influence of climate change, and the data presented are important for numerous practical issues in the field of water resource management and flood protection.
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极端降水及其对河流洪水灾害的影响:以波斯尼亚和黑塞哥维那萨那河流域为例研究
研究论文的主题是利用遥感监测和分析波黑萨那河流域地区气候变化对极端降水发生的影响,以及洪水发生的因果关系。其目标是处理遥感“产品”,以确定极端降水发生的时间间隔,评估其对水位的影响,并在太空中绘制潜在洪水地图。对面临洪水风险的区域进行空间识别是上述目标的一个组成部分。通过谷歌地球引擎平台,利用台站数据处理气候灾害组红外降水,进行降水监测。将观测到的30年期间(1992-2022)与2017年、2018年和2019年的平均降水量进行了比较。分析了极端降水对萨那河水位的影响。洪水期已确定:2017年2月和12月,2018年3月和2019年5月。通过对Sentinel-1雷达卫星图像进行预处理和后处理,完成了洪涝区制图。总淹没面积分别为:710.38公顷(2017年2月)、496.79公顷(2017年12月)、417.86公顷(2018年3月)和422.42公顷(2019年5月)。根据确定的洪水区域,在萨那河主河道上绘制了洪水风险图。该研究有助于更好地了解气候变化影响下该地区发生的变化,所提供的数据对水资源管理和防洪领域的许多实际问题具有重要意义。
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
2.80
自引率
11.10%
发文量
8
审稿时长
4 weeks
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