Loli Marianna, Kefalas George, Dafis Stavros, Mitoulis Stergios Aristoteles, Schmidt Franziska
Grid Engineers, Athens, Greece.
International Hellenic University, Dept. of Forest and Natural Environment, Greece.
Data Brief. 2023 Mar 16;48:109062. doi: 10.1016/j.dib.2023.109062. eCollection 2023 Jun.
This dataset is related to the research paper entitled "Bridge-specific flood risk assessment of transport networks using GIS and remotely sensed data" published in the Science of the Total Environment. It provides the information necessary for the reproduction of the case study that was used for the demonstration and validation of the proposed risk assessment framework. The latter integrates indicators for the assessment of hydraulic hazards and bridge vulnerability with a simple and operationally flexible protocol for the interpretation of bridge damage consequences on the serviceability of the transport network and on the affected socio-economic environment. The dataset encompasses (i) inventory data for the 117 bridges of the Karditsa Prefecture, in Central Greece, which were affected by a historic flood that followed the Mediterranean Hurricane (Medicane) Ianos, in September 2020; (ii) results of the risk assessment analysis, including the geospatial distribution of hazard, vulnerability, bridge damage, and associated consequences for the area's transport network; (iii) an extensive damage inspection record, compiled shortly after the Medicane, involving a sample of 16 (out of the 117) bridges of varying characteristics and damage levels, ranging from minimal damage to complete failure, which was used as a reference for validation of the proposed framework. The dataset is complemented by photos of the inspected bridges which facilitate the understanding of the observed bridge damage patterns. This information is intended to provide insights into the response of riverine bridges to severe floods and a thorough base for comparison and validation of flood hazard and risk mapping tools, potentially useful for engineers, asset managers, network operators and stakeholders involved in decision-making for climate adaptation of the road sector.
该数据集与发表在《总体环境科学》上的题为“利用地理信息系统和遥感数据对交通网络进行特定桥梁洪水风险评估”的研究论文相关。它提供了重现案例研究所需的信息，该案例研究用于所提出的风险评估框架的演示和验证。后者将用于评估水力灾害和桥梁脆弱性的指标与一个简单且操作灵活的协议相结合，以解释桥梁损坏对交通网络服务能力和受影响的社会经济环境的后果。该数据集包括：（i）希腊中部卡尔季察州117座桥梁的清单数据，这些桥梁在2020年9月受地中海飓风“伊亚诺斯”引发的历史性洪水影响；（ii）风险评估分析结果，包括灾害、脆弱性、桥梁损坏的地理空间分布以及对该地区交通网络的相关后果；（iii）在“伊亚诺斯”飓风过后不久编制的一份广泛的损坏检查记录，涉及16座（从117座中选取）具有不同特征和损坏程度的桥梁样本，损坏程度从轻微损坏到完全失效不等，该记录用作验证所提出框架的参考。该数据集还配有被检查桥梁的照片，有助于理解观察到的桥梁损坏模式。这些信息旨在深入了解河上桥梁对严重洪水的响应，并为洪水灾害和风险绘图工具的比较和验证提供全面依据，这可能对工程师、资产管理方、网络运营商以及参与道路部门气候适应决策的利益相关者有用。
