Assessment of torrential flood susceptibility: Case study - Ukrina River Basin (B&H)

Q4 Social Sciences Glasnik - Srpskog Geografskog Drustva Pub Date : 2019-01-01 DOI:10.2298/gsgd1902001l
N. Lovric, R. Tošić, Slavoljub Dragićević, Ivan Novković
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引用次数: 4

Abstract

Torrential floods are the most frequent natural catastrophic events in the Republic of Srpska (B&H). The main objective of this study is susceptibility assessment to torrential floods in Ukrina River Basin using Index Based Method (IBM) and Flash Flood Potential Method (FFPI), which operates entirely in a GIS environment. The definition and identification of influencing factors for torrential floods was the first step in the process of developing the Torrential Flood Susceptibility Model (TFSM). According to the results of these models, 54.00% and 40.86% of the Ukrina Basin area is in the categories of strong and very strong susceptibility to torrential floods. The second task was to identify the torrential basins and create the Register and the Cadastre of Torrential Basins in the Ukrina River Basin. After detailed field survey and analyses, 154 torrential basins have been identified, occupying 551.37 km2 of the Ukrina Basin. According to the validation indicators of the Torrential Flood Susceptibility Model, 138 torrential basins are in the category of strong and very strong susceptibility according to Index Based Method, while 112 torrential basins are in the same category of susceptibility according to Flash Flood Potential Index Method, which are very good results of the validation. This paper presents the significant step towards better understanding of the phenomenon of torrential floods in the Republic of Srpska (B&H). The data presented in this paper are also significant to practical issues such as integral water management projects, spatial planning, sustainable land planning and protection of soil, forest ecosystems and environmental protection, sediment management, agriculture and other human activities.
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暴雨洪水易感性评估:以乌克兰河流域(B&H)为例
洪水是斯普斯卡共和国最常见的自然灾害事件。本研究的主要目的是利用基于指数的方法(IBM)和山洪势法(FFPI)对乌克丽娜河流域的洪水易感性进行评估,该方法完全在GIS环境下运行。暴雨洪水影响因素的定义和识别是建立暴雨洪水易感性模型的第一步。根据模型计算结果,乌克兰盆地有54.00%和40.86%的地区属于强、极强洪水易感区。第二项任务是确定乌克里纳河流域的暴雨流域,建立暴雨流域登记簿和地籍。经过详细的野外调查和分析,确定了154个暴雨流域,共占地551.37 km2。根据洪水敏感性模型的验证指标,根据指数法,138个流域属于强敏感性和极强敏感性,根据山洪潜力指数法,112个流域属于同一敏感性类别,验证结果很好。本文提出了朝着更好地理解斯普斯卡共和国(B&H)的暴雨洪水现象迈出的重要一步。本文提供的数据对水资源综合管理项目、空间规划、土地可持续规划与土壤保护、森林生态系统与环境保护、泥沙管理、农业等人类活动等实际问题也具有重要意义。
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来源期刊
Glasnik - Srpskog Geografskog Drustva
Glasnik - Srpskog Geografskog Drustva Social Sciences-Education
CiteScore
0.70
自引率
0.00%
发文量
11
审稿时长
18 weeks
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