Evaluation of Different Simulation Methods for Analyzing Flood Scenarios in the Danube Delta
Source abstract
Abstract
The present work is focused on the analysis of flood scenarios for the settlements near the Danube discharge area into the Black Sea. From this perspective, the aim of the research is the development of flood extension maps for localities in the Danube Delta. The emphasis is on collecting the data and information needed for the entire analysis process, such as hydrological data on Danube flows and water levels (which were analyzed for 51 years), topo-bathymetric data (where 1685 cross sections were processed, measured on an 87-km section of the Danube), a digital terrain model (DTM), and others. Two methods of flood scenario analysis for the localities targeted were used in this paper. The first method was an analysis of the flood scenarios by modeling a real scenario, where it was supposed that a 20 m breach appeared in the dam which protects the localities and remained present for 24 h. The second method consisted of a Geographic Information System (GIS) analysis (static from a hydraulic point of view), where the maximum water level was superimposed over the DTM. This corresponded to a scenario in which the breach in the flood-control levee remains present for a longer period. The validated results show that the dynamic method is more efficient than the static method, both in terms of estimated flooded surfaces and in terms of simulation accuracy (taking into account more input parameters than the static method). Thus, from the obtained simulations it was observed that applying the dynamic method resulted in smaller flooded surfaces in the settlements analyzed than when considering the static method. In some cases, the differences between the flooded surfaces reached up to about 22%. This information is important and of general interest since it can be used in various fields of work, such as flood defense strategies, and investment promotion activities in the Danube discharge area or similar locations.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Flood Risk Assessment and Management · Marine and environmental studies · Aquatic and Environmental Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Science and Environment, “Dunărea de Jos” University of Galati, European Center of Excellence for the Environment, 47 Domneasca Street, 800008 Galati, Romania
Danube Delta National Institute for Research and Development, 165 Babadag Street, 820112 Tulcea, Romania
Faculty of Engineering, “Dunărea de Jos” University of Galati, 47 Domneasca Street, 800008 Galati, Romania
References (48)
Show source-provided references
1. Tincu, R. (2018). Evaluation of the Risk Produced by Floods on the Trotus River the Section Afferent to Ghimes—Faget Locality Using Geographic Information Systems (GIS). [Ph.D. Thesis, Vasile Alecsandri University of Bacau].
2. Flood hazard monitoring using GIS and remote sensing observations
3. Typologies of urban vulnerability to flooding in Romania
4. Preliminary flood risk assessment on the Romanian territory
5. The 2014 ice–jam flood of the Peace-Athabasca Delta: Insights from numerical modelling10.1016/j.coldregions.2018.08.009 ↗
6. Nones, M., Maselli, V., and Varrani, A. (2020). Numerical modeling of the hydro-morphodynamics of a distributary channel of the po river delta (Italy) during the spring 2009 flood event. Geosciences, 10.10.3390/geosciences10060209 ↗
7. Vulnerability of Flood Hazard in Selected Ayeyarwady Delta Region, Myanmar
8. Geomatic methods at the service of water resources modelling10.1016/j.jhydrol.2013.11.034 ↗
9. Analysis of flood modeling through innovative geomatic methods10.1016/j.jhydrol.2015.03.011 ↗
10. Gergel’ová, M.B., Kuzevičová, Ž., Labant, S., Gašinec, J., Kuzevič, Š., Unucka, J., and Liptai, P. (2020). Evaluation of selected sub-elements of spatial data quality on 3D flood event modeling: Case study of Prešov city, Slovakia. Appl. Sci., 10.10.3390/app10030820 ↗
11. Hydrological flood risk assessment for Ceatalchioi locality Danube Delta
12. A new insight on the water level dynamics of the Danube Delta using a high spatial density of SAR measurements10.1016/j.jhydrol.2012.12.037 ↗
13. Anthropogenic interventions and hydrological-risk phenomena in the fluvial-maritime delta of the Danube (Romania)10.1016/j.ocecoaman.2014.09.007 ↗
14. The Danube Delta—The mid term of the geo-system Danube River—Danube delta—Black Sea
15. Stan, N., and Enache, N. (2013). The Crisis Situation Management and of the Emergencies Situation.
16. Analysis of the flood risk in the Danube Delta—Case study: The Maliuc area
17. Perception of flood risk in Danube Delta, Romania10.1007/s11069-008-9337-0 ↗
18. Banescu, A., Georgescu, L., Rusu, E., and Murariu, G. (2019, January 28). Analysis of the floods risk in the peripheral localities from the north of the Danube Delta using GIS technologies. Proceedings of the International Multidisciplinary Scientific GeoConference, Albena, Bulgary.10.5593/sgem2019/2.2/S11.089 ↗
19. The water circulation near the Danube Delta and the Romanian coast modelled with finite elements10.1016/j.csr.2014.02.006 ↗
20. Munteanu, I., Tuzlaru, C., Arefi, N., Cioroiu, L., Raileanu, G., Bascau, F., and Nițu, M. (2015). Raport Privind Starea Mediului in Rezervatia Biosferei Delta Dunarii in Anul 2015 (Report on the State of the Environment in the Danube Delta Biosphere Reserve), Danube Delta Biosphere Reservation Administration.
21. The Danube submarine canyon (Black Sea): Morphology and sedimentary processes10.1016/j.margeo.2004.03.003 ↗
22. Banescu, A., Georgescu, L., Rusu, E., and Murariu, G. (2018, January 2). Analysis of the floods risk in a sector from the Danube Delta using GIS technologies. Proceedings of the 18th International Multidisciplinary Scientific GeoConference, Albena, Bulgary.10.5593/sgem2018/2.3/S11.039 ↗
23. Flood risk perception along the Lower Danube river, Romania10.1007/s11069-015-1939-8 ↗
24. Flood Hazard Mapping by Using Geographic Information System and Hydraulic Model: Mert River, Samsun, Turkey10.1155/2016/4891015 ↗
25. Brakenridge, G.R., Andersona, E., Nghiemb, S.V., Caquard, S., and Shabaneh, T.B. (2003). Flood Warnings, Flood Disaster Assessments, and Flood Hazard Reduction: The Roles of Orbital Remote Sensing.
26. Cioaca, E. (2001). Morphohydrographic Evolution of the Danube Delta Biosphere Reserve Zones Subject to the Ecological Reconstruction Process, Scientific Annals Danube Delta Institute for Research and Development.
27. The Danube Delta Biosphere Reserve Geography biodiversity protection management
28. Modelling of wave-current interactions at the mouths of the Danube10.1007/s00773-009-0078-x ↗
29. (2020, November 11). EcoPotential Project. (n.d.). Danube Delta. Available online: https://ecopotential-project.eu/site-studies/protected-areas/33-danube-delta.
30. Changes in ecosystem services from wetland loss and restoration: An ecosystem assessment of the Danube Delta (1960–2010)10.1016/j.ecoser.2019.100965 ↗
31. Water flow and sediment transport of the Danube at its outlet into the Black Sea
32. Danube river sediment input and its interaction with the north-western Black Sea10.1006/ecss.2000.0664 ↗
33. Change detection in floodable areas of the Danube delta using radar images10.1007/s11069-015-1809-4 ↗
34. Cioaca, E., Bondar, C., and Borcia, C. (2010, January 22–25). Hydrographical network of the Danube Delta Biosphere Reserve-modelling the morphological dynamics. Proceedings of the 38th IAD Conference, Dresden, Germany.
35. Extreme hydrological phenomena in the hydrographical basin of the Danube. The floods from the spring of 2006 along the oltenian sector of the river
36. Flood mapping in ungauged basins using fully continuous hydrologic-hydraulic modeling10.1016/j.jhydrol.2013.02.023 ↗
37. Influence of Elevation Data Source on 2D Hydraulic Modelling10.1515/acgeo-2016-0030 ↗
38. Watts, S., and Halliwell, L. (1996). Essential Environmental Science—Methods And Techniques, Routledge. [1st ed.].
39. Accuracy of a high-resolution lidar terrain model under a conifer forest canopy10.5589/m03-022 ↗
40. LIDAR technology usage within forensic science/Aplicatiile tehnologiei LIDAR în tehnica criminalistica
41. Regional hydromorphological characterization with continuous and automated remote sensing analysis based on VHR imagery and low-resolution LiDAR data10.1002/esp.4092 ↗
42. Nichersu, I., Mierla, M., Trifanov, C., Nichersu, I., Marin, E., and Sela, F. (2014). Digital Cartographic Models as Analysis Support in Multicriterial Assessment of Vulnerable Flood Risk Elements, EGU General Assembly Conference.
43. Performance evaluation of IDW, Kriging and multiquadric interpolation methods in producing noise mapping: A case study at the city of Isparta, Turkey10.1016/j.apacoust.2016.05.024 ↗
44. Arseni, M., Voiculescu, M., Georgescu, L.P., Iticescu, C., and Rosu, A. (2019). Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River. ISPRS Int. J. Geo-Inf., 8.10.3390/ijgi8110507 ↗
45. Arseni, M., Rosu, A., Calmuc, M., Calmuc, V.A., Iticescu, C., and Georgescu, L.P. (2020). Development of flood risk and hazard maps for the lower course of the Siret River, Romania. Sustainability, 12.10.3390/su12166588 ↗
46. Cioc, D., Anton, A., and Georgescu, A. (1999). Determination by Calculation of the Optimal of the Optimal Endowment of a Capture Front, UTCB Bucharest Publishing House.
47. A combined hydrologic and hydraulic modeling approach for testing efficiency of structural flood control measures10.1007/s11069-009-9464-2 ↗
48. Chow, V.T. (1959). Open-Channel Hydraulics, McGraw-Hill College.