journal article·2025-02-26Open access

GIS-Based Flood Assessment Using Hydraulic Modeling and Open Source Data: An Example of Application

Loredana Copăcean, Eugen Teodor Man, Luminiţa L. Cojocariu, Cosmin Alin Popescu, Clara-Beatrice Vîlceanu, Robert Beilicci, Alina Creţan, Mihai Valentin Herbei, Ovidiu Ştefan Cuzic, Sorin Herban

Applied Sciences· Volume 15· Issue 5

Abstract

The study explores the impact of floods, phenomena amplified by climate change and human activities, on the natural and anthropogenic environment, focusing on the analysis of a section of the Cigher River in the Crișul Alb basin in western Romania. The research aims to identify areas vulnerable to flooding under different discharge scenarios, assess the impact on agricultural lands, and propose a reproducible methodology based on the integration of GIS technologies, hydraulic modeling in HEC-RAS, and the use of LiDAR data. The methodology includes hydrological analysis, processing of the Digital Elevation Model (DEM), delineation of geometries, hydraulic simulation for four discharge scenarios (S1–S4), and evaluation of the flood impact on agricultural and non-agricultural lands. Evaluated parameters, such as water velocity and flow section areas, highlighted an increased flood risk under maximum discharge conditions. The results show that scenario S4, with a discharge of 60 m3/s, causes extensive flooding, affecting 871 hectares of land with various uses. The conclusions emphasize the importance of using modern technologies for risk management, protecting vulnerable areas, and reducing economic and ecological losses. The proposed methodology is also applicable to other river basins, representing a useful model for developing sustainable strategies for flood prevention and management.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Hydrology and Watershed Management Studies · Flood Risk Assessment and Management · Hydrological Forecasting Using AI

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Sustainable Development and Environmental Engineering, Faculty of Agriculture, University of Life Sciences “King Mihai I” from Timisoara, 300645 Timisoara, Romania

Department of Hydrotechnical Engineering, Faculty of Civil Engineering, Politehnica University Timisoara, 300006 Timisoara, Romania

Department of Agricultural Technologies, Faculty of Agriculture, University of Life Sciences “King Mihai I” from Timisoara, 300645 Timisoara, Romania

Agricultural Research and Development Station Lovrin, 307250 Lovrin, Romania

Department of Overland Communication Ways, Foundations and Cadastral Survey, Faculty of Civil Engineering, Politehnica University Timisoara, 300006 Timisoara, Romania

Funding

University of Life Sciences “King Mihai I”

References (95)

Show source-provided references
1. Analysis and evaluation of flash flood disasters: A case of Lingbao County of Henan province in China10.1016/j.proeng.2016.07.444 ↗
2. Papaioannou, G., Efstratiadis, A., Vasiliades, L., Loukas, A., Papalexiou, S.M., Koukouvinos, A., Tsoukalas, I., and Kossieris, P. (2018). An operational method for flood directive implementation in ungauged urban areas. Hydrology, 5.10.3390/hydrology5020024 ↗
3. Khosh Bin Ghomash, S., Bachmann, D., Caviedes-Voullième, D., and Hinz, C. (2022). Impact of Rainfall Movement on Flash Flood Response: A Synthetic Study of a Semi-Arid Mountainous Catchment. Water, 14.10.3390/w14121844 ↗
4. Estimating flood susceptibility based on GIS and remote sensing. Case study: Hydrographic Basin of Crisul Alb river10.47743/pesd2024181009 ↗
5. Multiple environmental factors analysis of flash flood risk in Upper Hanjiang River, southern China10.1007/s11356-019-07270-9 ↗
6. Syarifudin, A., Satyanaga, A., and Destania, H.R. (2022). Application of the HEC-RAS Program in the Simulation of the Streamflow Hydrograph for Air Lakitan Watershed. Water, 14.10.3390/w14244094 ↗
7. Changes in magnitude and frequency of heavy precipitation across China and its potential links to summer temperature10.1016/j.jhydrol.2017.02.041 ↗
8. Comparative Analysis of Lineaments Extracted from Cartosat, SRTM and ASTER DEM: A Study Based on Four Watersheds in Konkan Region, India10.1007/s41324-017-0155-x ↗
9. Flood Hazards and Livelihood Vulnerability of Flood-Prone Farm-Dependent Bait Households in Punjab, Pakistan10.1007/s11356-021-16443-4 ↗
10. Assessment of Climate Change Impact on Flood Hazard Zones10.1007/s11269-024-04002-8 ↗
11. Peker, İ.B., Gülbaz, S., Demir, V., Orhan, O., and Beden, N. (2024). Integration of HEC-RAS and HEC-HMS with GIS in Flood Modeling and Flood Hazard Mapping. Sustainability, 16.10.3390/su16031226 ↗
12. Assessing the costs of natural hazards—State of the art and knowledge gaps10.5194/nhess-13-1351-2013 ↗
13. Integrated spatial flood risk assessment: The case of Zaragoza10.1016/j.landusepol.2014.08.002 ↗
14. UNDRR (United Nations Office for Disaster Risk Reduction) (2023). Global Assessment Report on Disaster Risk Reduction, United Nations Office for Disaster Risk Reduction. Available online: https://www.undrr.org/media/79595/download?startDownload=20250211.
15. Wang, X., Liu, Z., and Chen, H. (2022). Investigating Flood Impact on Crop Production under a Comprehensive and Spatially Explicit Risk Evaluation Framework. Agriculture, 12.10.3390/agriculture12040484 ↗
16. Extreme flooding events on the Rhine and the survival and distribution of riparian plant species10.1046/j.1365-2745.2003.00749.x ↗
17. Phytoglobin expression influences soil flooding response of corn plants10.1093/aob/mcw146 ↗
18. Barneze, A.S., van Groenigen, J.W., Philippot, L., Bru, D., Abalos, D., and De Deyn, G.B. (2023). Plant communities can attenuate flooding induced N2O fluxes by altering nitrogen cycling microbial communities and plant nitrogen uptake. Soil Biol. Biochem., 185.10.1016/j.soilbio.2023.109142 ↗
19. Effects of flooding on changes in Eh, pH and speciation of cadmium and lead in contaminated soil10.1007/s00128-007-9274-8 ↗
20. Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques10.1016/j.jhydrol.2020.125007 ↗
21. Physiological and genetic responses of lentil (Lens culinaris) under flood stress10.1016/j.stress.2023.100130 ↗
22. Rupngam, T., and Messiga, A.J. (2024). Unraveling the Interactions between Flooding Dynamics and Agricultural Productivity in a Changing Climate. Sustainability, 16.10.3390/su16146141 ↗
23. An optimized GPU implementation of a 2D free surface simulation model on unstructured meshes10.1016/j.advengsoft.2014.08.007 ↗
24. Kastridis, A., and Stathis, D. (2020). Evaluation of Hydrological and Hydraulic Models Applied in Typical Mediterranean Ungauged Watersheds Using Post-Flash-Flood Measurements. Hydrology, 7.10.3390/hydrology7010012 ↗
25. AL-Hussein, A.A.M., Khan, S., Ncibi, K., Hamdi, N., and Hamed, Y. (2022). Flood Analysis Using HEC-RAS and HEC-HMS: A Case Study of Khazir River (Middle East—Northern Iraq). Water, 14.10.3390/w14223779 ↗
26. Swain, K.C., Singha, C., and Nayak, L. (2020). Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud. ISPRS Int. J. Geo-Inf., 9.10.3390/ijgi9120720 ↗
27. Cai, S., Fan, J., and Yang, W. (2021). Flooding Risk Assessment and Analysis Based on GIS and the TFN-AHP Method: A Case Study of Chongqing, China. Atmosphere, 12.10.3390/atmos12050623 ↗
28. Alarifi, S.S., Abdelkareem, M., Abdalla, F., and Alotaibi, M. (2022). Flash Flood Hazard Mapping Using Remote Sensing and GIS Techniques in Southwestern Saudi Arabia. Sustainability, 14.10.3390/su142114145 ↗
29. Flood hazard assessment and mapping using GIS integrated with multi-criteria decision analysis in upper Awash River basin, Ethiopia10.1007/s13201-022-01674-8 ↗
30. Roy, D.K., Sarkar, T.K., Kamar, S.S.A., Goswami, T., Muktadir, M.A., Al-Ghobari, H.M., Alataway, A., Dewidar, A.Z., El-Shafei, A.A., and Mattar, M.A. (2022). Daily Prediction and Multi-Step Forward Forecasting of Reference Evapotranspiration Using LSTM and Bi-LSTM Models. Agronomy, 12.10.3390/agronomy12030594 ↗
31. Techniques for identification, mapping and analysis of grasslands10.47743/pesd2022162004 ↗
32. Droughts in São Paulo: Challenges and lessons for a water-adaptive society10.1080/1573062X.2022.2047735 ↗
33. Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS10.1016/j.jhydrol.2014.03.008 ↗
34. Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province10.1080/10106049.2015.1041559 ↗
35. Flood susceptibility mapping using convolutional neural network frameworks10.1016/j.jhydrol.2019.124482 ↗
36. Application of remote sensing and GIS-based hydrological modelling for flood risk analysis: A case study of District 8, Ho Chi Minh City, Vietnam10.1080/19475705.2017.1388853 ↗
37. Zhou, Q., Su, J., Arnbjerg-Nielsen, K., Ren, Y., Luo, J., Ye, Z., and Feng, J. (2021). A GIS-Based Hydrological Modeling Approach for Rapid Urban Flood Hazard Assessment. Water, 13.10.3390/w13111483 ↗
38. GIS-based MCDM-AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia10.1080/10106049.2019.1566405 ↗
39. The accuracy of sequential aerial photography and SAR data for observing urban flood dynamics: A case study of the UK summer 2007 floods10.1016/j.rse.2011.04.039 ↗
40. Bathrellos, G.D., Skilodimou, H.D., Soukis, K., and Koskeridou, E. (2018). Temporal and Spatial Analysis of Flood Occurrences in the Drainage Basin of Pinios River (Thessaly, Central Greece). Land, 7.10.3390/land7030106 ↗
41. Samanta, S., Koloa, C., Kumar Pal, D., and Palsamanta, B. (2016). Flood Risk Analysis in Lower Part of Markham River Based on Multi-Criteria Decision Approach (MCDA). Hydrology, 3.10.3390/hydrology3030029 ↗
42. Rijal, S., Rimal, B., and Sloan, S. (2018). Flood Hazard Mapping of a Rapidly Urbanizing City in the Foothills (Birendranagar, Surkhet) of Nepal. Land, 7.10.3390/land7020060 ↗
43. Tanaka, T., Yoshioka, H., Siev, S., Fujii, H., Fujihara, Y., Hoshikawa, K., Ly, S., and Yoshimura, C. (2018). An Integrated Hydrological-Hydraulic Model for Simulating Surface Water Flows of a Shallow Lake Surrounded by Large Floodplains. Water, 10.10.3390/w10091213 ↗
44. Bessar, M.A., Matte, P., and Anctil, F. (2020). Uncertainty Analysis of a 1D River Hydraulic Model with Adaptive Calibration. Water, 12.10.3390/w12020561 ↗
45. Estimating the impact of satellite observations on the predictability of large-scale hydraulic models10.1016/j.advwatres.2014.06.006 ↗
46. Hydraulic Model Development using HEC-RAS and Determination of Manning Roughness Value for Shatt Al-Rumaith
47. US Army Corps of Engineers (2024, June 10). HEC-RAS, River Analysis System, HEC-RAS Hydraulic Reference Manual, Version 6.5, Available online: https://www.hec.usace.army.mil/software/hec-ras/documentation/HEC-RAS_Hydraulic_Reference_Manual_v6.5.pdf.
48. Combination of HEC-HMS and HEC-RAS Models in GIS in Order to Simulate Flood (Case Study: Khoshke Rudan River in Fars Province, Iran)
49. Mai, D., and De Smedt, F. (2017). A Combined Hydrological and Hydraulic Model for Flood Prediction in Vietnam Applied to the Huong River Basin as a Test Case Study. Water, 9.10.3390/w9110879 ↗
50. Application of HEC-RAS and HEC-GeoRAS Model for Flood Inundation Mapping, the Case of Awash Bello Flood Plain, Upper Awash River Basin, Oromiya Regional State, Ethiopia10.1007/s40808-021-01166-9 ↗
51. Mapping of Vulnerability of Flooded Area in Arid Region. Case Study: Area of Ghardaïa-Algeria10.1007/s40808-016-0183-x ↗
52. A Combined Hydrologic and Hydraulic Modeling Approach for Testing Efficiency of Structural Flood Control Measures10.1007/s11069-009-9464-2 ↗
53. Urzică, A., Mihu-Pintilie, A., Stoleriu, C.C., Cîmpianu, C.I., Huţanu, E., Pricop, C.I., and Grozavu, A. (2021). Using 2D HEC-RAS Modeling and Embankment Dam Break Scenario for Assessing the Flood Control Capacity of a Multi-Reservoir System (NE Romania). Water, 13.10.3390/w13010057 ↗
54. (2024, September 01). Administraţia Bazinală de Apă (ABA) Crişuri. Available online: https://crisuri.rowater.ro/.
55. România: Seturi de Date Vectoriale Generale (2021, March 15). Geo-spatial Website. Available online: https://geo-spatial.org/vechi/download/romania-seturi-vectoriale.
56. (2015, December 10). Copernicus Land Monitoring Service-EU-DEM—European Environment Agency. Available online: https://www.eea.europa.eu/data-and-maps/data/copernicus-land-monitoring-service-eu-dem.
57. (2024, March 30). Baze de Date Climatice. Available online: https://rp5.ru/Weather_in_Romania.
58. (2024, June 28). Agenţia Naţională de Cadastru şi Publicitate Imobiliară (ANCPI), Proiectul LAKI. Available online: https://geoportal.ancpi.ro/portal/apps/webappviewer/index.html?id=2873d5b4707749349f6ad78e5c6b239e.
59. (2024, March 15). Corine Land Cover—Copernicus Land Monitoring Service. Available online: https://land.copernicus.eu/pan-european/corine-land-cover.
60. (2024, September 12). Autodesk, AutoCAD Map 3D Help. Available online: https://help.autodesk.com/view/MAP/2016/ENU/.
61. (2022, June 15). ArcGIS Desktop Documentation, ArcMap (Including ArcCatalog, ArcScene, ArcGlobe). Available online: https://desktop.arcgis.com/en/documentation/.
62. Ensemble flood forecasting: Current status and future opportunities. Wiley Interdiscip
63. Developing a large-scale dataset of flood fatalities for territories in the Euro-Mediterranean region10.1038/s41597-022-01273-x ↗
64. Assessment of the 2021 summer flood in Central Europe10.1186/s12302-022-00685-1 ↗
65. Dimitriou, E., Efstratiadis, A., Zotou, I., Papadopoulos, A., Iliopoulou, T., Sakki, G.K., Mazi, K., Rozos, E., Koukouvinos, A., and Koussis, A.D. (2024). Post-Analysis of Daniel Extreme Flood Event in Thessaly, Central Greece: Practical Lessons and the Value of State-of-the-Art Water-Monitoring Networks. Water, 16.10.3390/w16070980 ↗
66. Stamos, I., and Diakakis, M. (2024). Mapping Flood Impacts on Mortality at European Territories of the Mediterranean Region within the Sustainable Development Goals (SDGs) Framework. Water, 16.10.3390/w16172470 ↗
67. Reconciliation of trends in global and regional economic losses from weather events: 1980–200810.1061/(ASCE)NH.1527-6996.0000141 ↗
68. Vulnerability assessment of flash floods in Wadi Dahab Basin, Egypt10.1007/s12665-020-8860-5 ↗
69. Ionita, M., and Nagavciuc, V. (2021). Extreme Floods in the Eastern Part of Europe: Large-Scale Drivers and Associated Impacts. Water, 13.10.3390/w13081122 ↗
70. Impact of warmer climate periods on flood hazard in the European Alps10.1038/s41561-021-00878-y ↗
71. Disaster risk, climate change, and poverty: Assessing the global exposure of poor people to floods and droughts10.1017/S1355770X17000444 ↗
72. Have flood mortality qualitative characteristics changed during the last decades? The case study of Greece10.1080/17477891.2016.1147412 ↗
73. Mortality Patterns of Hydro-Geomorphologic Disasters10.1111/risa.12516 ↗
74. Reduction of future disaster damages by learning from disaster experiences10.1007/s11069-017-2825-3 ↗
75. Petrucci, O., Aceto, L., Bianchi, C., Bigot, V., Brázdil, R., Pereira, S., Kahraman, A., Kılıç, Ö., Kotroni, V., and Llasat, M.C. (2019). Flood Fatalities in Europe, 1980–2018: Variability, Features, and Lessons to Learn. Water, 11.10.3390/w11081682 ↗
76. Changes in mortality and economic vulnerability to climatic hazards under economic development at the provincial level in China10.1007/s10113-018-1386-7 ↗
77. Rivers in the sky, flooding on the ground: The role of atmospheric rivers in inland flooding in central Europe10.5194/hess-24-5125-2020 ↗
78. The central European floods of August 2002: Part 2 –Synoptic causes and considerations with respect to climatic change10.1256/wea.61.03B ↗
79. Flooding in eastern central Europe in May 2010—Reasons, evolution and climatological assessment10.1002/wea.759 ↗
80. The winter storms of 2013/2014 in the UK: Hydrological responses and impacts10.1002/wea.2469 ↗
81. Mihu-Pintilie, A., Cîmpianu, C.I., Stoleriu, C.C., Pérez, M.N., and Paveluc, L.E. (2019). Using High-Density LiDAR Data and 2D Streamflow Hydraulic Modeling to Improve Urban Flood Hazard Maps: A HEC-RAS Multi-Scenario Approach. Water, 11.10.3390/w11091832 ↗
82. AL-Hussein, A.A.M., Hamed, Y., Bouri, S., Hajji, S., Aljuaid, A.M., and Hachicha, W. (2023). The Socio-Economic Effects of Floods and Ways to Prevent Them: A Case Study of the Khazir River Basin, Northern Iraq. Water, 15.10.3390/w15244271 ↗
83. One Dimensional Steady Flow Analysis Using HEC-RAS—A case of River Jhelum, Jammu and Kashmir
84. Floodplain Mapping and Management of Urban Catchment Using HEC-RAS: A Case Study of Hyderabad City10.1007/s40030-018-0345-0 ↗
85. Development of river rating curves for simple to complex hydraulic structure based on calibrated HEC-RAS hydraulic model, in Kwale, Coastal Kenya10.4236/jwarp.2019.114028 ↗
86. Application of new HEC-RAS version 5 for 1D hydrodynamic flood modeling with special reference through geospatial techniques: A case of river Purna at Navsari, Gujarat, India10.1007/s40808-020-00961-0 ↗
87. Application of HEC-RAS model in simulation of water surface profile of river
88. Hydraulic modeling of the Periyar River using HEC-RAS: Unraveling flow dynamics10.2166/wst.2024.138 ↗
89. Burshtynska, K., Zayats, I., Halochkin, M., Bakuła, K., and Babiy, L. (2023). The Influence of the Main Factors on the Accuracy of Hydrological Modelling of Flooded Lands. Water, 15.10.3390/w15183303 ↗
90. Towards a Modern and Sustainable Sediment Management Plan in Mountain Catchment10.3390/geohazards5040053 ↗
91. Restoring soil quality to mitigate soil degradation10.3390/su7055875 ↗
92. Effects of increased flooding on riparian vegetation: Field experiments simulating climate change along five European lowland streams10.1111/gcb.13687 ↗
93. The impact of extreme weather events as a consequence of climate change on the soil moisture and on the quality of the soil environment and agriculture—A review10.1016/j.catena.2023.107378 ↗
94. Variable cluster of ethylene response factor-like genes regulates metabolic and developmental acclimation responses to submergence in rice10.1105/tpc.106.043000 ↗
95. Pedersen, O., Colmer, T.D., and Sand-Jensen, K. (2013). Underwater photosynthesis of submerged plants—Recent advances and methods. Front. Plant Sci., 4.10.3389/fpls.2013.00140 ↗