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, Carpathian Journal of Earth and Environmental Sciences February 2023, Vol. 18, No. 1, p. 149 – 169; DOI:10.26471/cjees/2023/018/248 - Carpathian Journal of Earth And Environmental Sciences

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Dan Lucian CIURTE^1,2, Alin MIHU-PINTILIE^3*, Andrei URZICĂ^2,4 & Adrian GROZAVU²

¹Romanian Waters National Administration, Someș-Tisa Water Basin Administration, Maramureş Water Management System, St. Hortensiei 2A, 430294, Baia Mare, Romania, dan.ciurte@sgamm.dast.rowater.ro

²Faculty of Geography and Geology, Department of Geography, “Alexandru Ioan Cuza” University of Iaşi, Bd. Carol I 20A, 700505 Iaşi, Romania, dan.ciurte@sgamm.dast.rowater.ro, urzi-ca.andrei@student.uaic.ro, grozavu@uaic.ro

³Institute for Interdisciplinary Research, Science Research Department, “Alexandru Ioan Cuza” University of Iaşi (UAIC), St. Lascăr Catargi 54, 700107 Iaşi, România, *Corresponding author: mihu.pintilie.alin@gmail.com, alin.mihu.pintilie@mail.uaic.ro

⁴Research Center with Integrated Techniques for Atmospheric Aerosol Investigation in Romania, RECENT AIR, Laboratory of Interdisciplinary Research of Mountain Environment, Ion Gugiuman, Rarău Station for Research and Students Fellowships, 725100 Câmpulung-Moldovenesc, Suceava, România, urzica.andrei@student.uaic.ro

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, Carpathian Journal of Earth and Environmental Sciences February 2023, Vol. 18, No. 1, p. 149 – 169; DOI:10.26471/cjees/2023/018/248

Full text

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.