基于GIS的交通网络洪水脆弱性评估。沿东方-东地中海TEN-T走廊的案例研究,在Timiș-Cerna谷,罗马尼亚

Beniamin Stoica-Fuchs
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引用次数: 0

摘要

在当前气候变化的背景下,估计洪水风险将显著增加,对人类栖息地和交通网络产生重要影响。研究文献的特点是不断关注洪水灾害建模的改进,以及洪水造成的具体物质和人员损失的经济成本的量化。在本研究中,我们打算对东方-东地中海(OEM)走廊沿线运输网络的脆弱性进行分析,该走廊是TEN-T核心网络在欧洲层面的一部分。通过在GIS环境中整合高(10年)和中(100年)复发概率的洪水带,以及交通网络的各种类型,我们成功地识别和表征了易受洪水事件影响的公路和铁路部门。通过当地研究文献、野外观测和航空影像对矢量叠加分析和统计方法进行了验证。我们的研究结果显示了罗马尼亚西南部Timiș-Cerna流域易受洪水风险影响的交通基础设施的地理分布和统计特征。我们还讨论了目前研究区域交通网络的洪水风险缓解措施的现状,以及我们的研究对区域和地方空间规划文件和投资优先活动的重要性。类似的空间分析可以更好地保护当前和拟议的交通基础设施,并最大限度地减少山洪暴发的破坏性影响。
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Assessing the vulnerability of transport network to flood hazard using GIS analysis. Case study along Orient-East Med TEN-T Corridor, on Timiș-Cerna Valley, Romania
In the context of current climate change, it is estimated that flood risk will increase significantly, with important consequences for the human habitat and transport networks. Research literature features a continuous concern both for the improvement of flood hazard modeling and for the quantification of economic costs specific to material and human damage caused by floods. In the present study, we intend to perform an analysis on the vulnerability of the transport network along the Orient-East Med (OEM) Corridor, part of the TEN-T Core network at European level. By integrating flood bands with high (10 years) and medium (100 years) probability of recurrence, as well as various typologies of the transport network in a GIS environment, we successfully identified and characterized road and railway sectors susceptible to flooding events. Vector overlay analysis and statistical methods were validated by means of local research literature, field observations and aerial imagery. Our results feature the geographic distribution and statistical characterization of transport infrastructure vulnerable to flood risk along Timiș-Cerna Valley, in south-western Romania. We also discuss the state of current flood risk mitigation measures for transport network in the study area, along with the importance of our research for regional and local spatial planning documents and investment prioritization activities. Similar spatially-enabled analysis could enable better protection for the current and proposed transport infrastructure and minimize the damaging effects of flash floods.
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