INTEGRATING LIDAR DATA, 2D HEC-RAS MODELING AND REMOTE SENSING TO DEVELOP FLOOD HAZARD MAPS DOWNSTREAM OF A LARGE RESERVOIR IN THE INNER EASTERN CARPATHIANS

IF 0.9 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES Carpathian Journal of Earth and Environmental Sciences Pub Date : 2023-02-07 DOI:10.26471/cjees/2023/018/248
D. Ciurte, Alin Mihu-Pintilie, A. Urzică, A. Grozavu
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Abstract

The use of 1D, 2D, and 1D/2D modelling techniques to identify flood prone areas is a critical component of any flood hazard management project (e.g., APDF – action plan for dam failure) in the proximity of big dams and reservoirs. In this work, we manage to computed flood hazard models using 2D HEC-RAS module based on Digital Elevation Models (DEM’s) derived from Light Detection and Ranging (LiDAR) data and pre- and post-processed using Geographic Information Systems (GIS)-based software (e.g., ArcGIS, HEC-RAS). Therefore, to produce urban flood hazard (FH) maps downstream of the Strâmtori-Firiza reservoir (S-Fr) in NW Romania, a multi-scenario approach based on LiDAR-derived DEM integration, 2D hydraulic modeling, and remote sensing (RS) data validation is provided. In this context, to assess the flood control capacity (FCC) of the S-Fr hydro-technical system, three flood tests based on S-Fr flow rate with 5% (167 m3/s), 1% (270 m3/s) and 0.1% (447 m3/s) return periods were performed. The flood impact within the urban area of Baia Mare located downstream of S-Fr was achieved for each flood scenarios using four spatial data derived from the RAS Mapper module: flood extent (FE), flood depth (FD), flood velocity (FV) and flood hazard (FH). The results indicate that a large area of Baia Mare city can be affected by a potential flood caused by a dam failure and also contribute to the APDF update of S-Fr dam.
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结合激光雷达数据、二维HEC-RAS建模和遥感技术,绘制内东部喀尔巴阡山一座大型水库下游的洪水灾害图
使用1D、2D和1D/2D建模技术来识别洪水易发区是大坝和水库附近任何洪水灾害管理项目(例如APDF——大坝溃坝行动计划)的关键组成部分。在这项工作中,我们使用2D HEC-RAS模块计算洪水灾害模型,该模块基于从光探测和测距(LiDAR)数据导出的数字高程模型(DEM),并使用基于地理信息系统(GIS)的软件(例如ArcGIS、HEC-RAS)进行预处理和后处理。因此,为了绘制罗马尼亚西北部Strâmtori Firiza水库(S-Fr)下游的城市洪水灾害(FH)地图,提供了一种基于激光雷达衍生的DEM集成、二维水力建模和遥感(RS)数据验证的多场景方法。在这种情况下,为了评估S-Fr水利技术系统的防洪能力(FCC),进行了三次基于S-Fr流量的洪水试验,重现期分别为5%(167 m3/S)、1%(270 m3/S)和0.1%(447 m3/S)。使用RAS Mapper模块得出的四个空间数据,即洪水范围(FE)、洪水深度(FD)、洪水速度(FV)和洪水危险性(FH),实现了每个洪水场景下位于S-Fr下游的Baia Mare城区内的洪水影响。结果表明,Baia Mare市的大片地区可能受到大坝溃坝引起的潜在洪水的影响,也有助于S-Fr大坝的APDF更新。
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来源期刊
CiteScore
2.30
自引率
25.00%
发文量
42
审稿时长
12-24 weeks
期刊介绍: The publishing of CARPATHIAN JOURNAL of EARTH and ENVIRONMENTAL SCIENCES has started in 2006. The regularity of this magazine is biannual. The magazine will publish scientific works, in international purposes, in different areas of research, such as : geology, geography, environmental sciences, the environmental pollution and protection, environmental chemistry and physic, environmental biodegradation, climatic exchanges, fighting against natural disasters, protected areas, soil degradation, water quality, water supplies, sustainable development.
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