Abstract
Flash floods have been the cause of some of the most devastating events worldwide. The wide diversity of the effects, as well as the variety in the severity of the impacts, lead to major obstacles in obtaining a realistic understanding of the damages caused by a flood event, thus hampering at the same time our ability to predict future impacts. In assessing flood impacts and their severity, most existing methods use a qualitative characterization (e.g., major, catastrophic, etc.) or view the impacts from a single viewpoint or discipline (e.g., economic losses). In this study, we apply the Flash Flood Impact Severity Scale (FFISS) to assess, map, and classify the impacts of two flash floods from the Lilas River in Greece in 2009 and 2020. This application aims to discuss the different severity levels in terms of how one flood can affect the impacts of the next event. The methodology encompasses comprehensive field research, including the collection of ground-based and aerial observations utilizing UAV technology to document the impacts. These observations are subsequently georeferenced, followed by application of the Flash Flood Impact Severity Scale (FFISS) and generation of detailed maps to assess and evaluate the severity of the impacts associated with the two flood events. The results show that despite the higher water stage of the second flood, the impacts in previously hit areas indicate lower severity values, attributed to the gradual adaptation of the community and its infrastructure, as well as significant local widening of the river channel. On the contrary, high severity remains an issue in newly flooded areas during the second event. Overall, the application of the FFISS can show the spatial patterns of severity impacts, providing insights into the nature of floods locally but also indicating a potential reduction in the overall risk in the post-flood period.
Topics

No keywords indexed for this article. Browse by subject →

References
63
[1]
Review article "Assessment of economic flood damage"

B. Merz, H. Kreibich, R. Schwarze et al.

Natural Hazards and Earth System Sciences 2010 10.5194/nhess-10-1697-2010
[2]
Gruntfest, E., and Handmer, J. (2001). Impacts of Flash Floods. Coping with Flash Floods, Springer. 10.1007/978-94-010-0918-8
[3]
Diakakis "An integrated approach of ground and aerial observations in flash flood disaster investigations. The case of the 2017 Mandra flash flood in Greece" Int. J. Disaster Risk Reduct. (2019) 10.1016/j.ijdrr.2018.10.015
[4]
Characterisation of selected extreme flash floods in Europe and implications for flood risk management

L. Marchi, M. Borga, E. Preciso et al.

Journal of Hydrology 2010 10.1016/j.jhydrol.2010.07.017
[5]
Gourley "A unified flash flood database across the United States" Bull. Am. Meteorol. Soc. (2013) 10.1175/bams-d-12-00198.1
[6]
Stonefield, R., and Jackson, J. (2024, December 15). An Abbreviated Flash Flood Climatology (1994–2007) for the WFO Blacksburg, Virginia County Warning Area, Available online: https://repository.library.noaa.gov/view/noaa/6598/noaa_6598_DS1.pdf.
[7]
Boudou "Comparative hazard analysis of processes leading to remarkable flash floods (France, 1930–1999)" J. Hydrol. (2016) 10.1016/j.jhydrol.2016.05.032
[8]
Bodoque "A quantitative methodology for the assessment of the regional economic vulnerability to flash floods" J. Hydrol. (2018) 10.1016/j.jhydrol.2018.08.029
[9]
Dobrovičová, S., Dobrovič, R., and Dobrovič, J. (2015). The Economic Impact of Floods and their Importance in Different Regions of the World with Emphasis on Europe. Procedia Econ. Financ., 34. 10.1016/s2212-5671(15)01681-0
[10]
Apostu "Floods and their effects on agricultural productivity" Res. J. Agric. Sci. (2020)
[11]
Vozinaki "An agricultural flash flood loss estimation methodology: The case study of the Koiliaris basin (Greece), February 2003 flood" Nat. Hazards (2015) 10.1007/s11069-015-1882-8
[12]
Chau "Using GIS to map impacts upon agriculture from extreme floods in Vietnam" Appl. Geogr. (2013) 10.1016/j.apgeog.2013.03.014
[13]
Braud "Flash floods, hydro-geomorphic response and risk management" J. Hydrol. (2016) 10.1016/j.jhydrol.2016.08.005
[15]
Schroeder "The development of a flash flood severity index" J. Hydrol. (2016) 10.1016/j.jhydrol.2016.04.005
[16]
Boudou, Μ. (2016). Approche Multidisciplinaire pour la Caractérisation d’inondations Remarquables: Enseignements tirés de neuf Évènements en France (1910–2010), Université Paul-Valéry Montpellier III. Environnement et Société.
[17]
Calianno "Supplementing flash flood reports with impact classifications" J. Hydrol. (2013) 10.1016/j.jhydrol.2012.09.036
[18]
Diakakis "Proposal of a flash flood impact severity scale for the classification and mapping of flash flood impacts" J. Hydrol. (2020) 10.1016/j.jhydrol.2020.125452
[19]
(2024, December 12). National Statistical Service of Greece (NSSG). Available online: https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.41/2000/files/Greece/Presentation%20of%20the%20census%202001.pdf.
[20]
Barsaki, V. (2012). Flood hazard Assessment by using GIS in Lilas River (Central Evia). [Master Thesis, University of Athens].
[21]
(2024, December 12). Meteo, n.d. Available online: https://www.meteo.gr/gmap.cfm.
[22]
[23]
Mavroulis "Geological and hydrometeorological hazards and related disasters amid COVID-19 pandemic in Greece: Post-disaster trends and factors affecting the COVID-19 evolution in affected areas" Saf. Sci. (2021) 10.1016/j.ssci.2021.105236
[24]
Spyrou, N.I., Stanota, E.S., Diakakis, M., Andreadakis, E., Lekkas, E., and Vassilakis, E. (2020, January 4–8). Estimation of Flow Velocity During Flash Floods with the synergy of Unmanned Aerial Systems (UAS) data and Ground Observations: The Case of 2017 Mandra Flash Flood, Greece. Proceedings of the EGU 2020 International Conference, Vienna, Austria. 10.5194/egusphere-egu2020-17845
[25]
Andreadakis, E., Dakakis, M., Vassilakis, E., Deligiannakis, G., Antoniadis, A., Andriopoulos, P., Spyrou, N.-I., and Nikolopoulos, E. (2020). Unmanned aerial systems-aided post-flood peak discharge estimation in ephemeral streams. J. Remote Sens., 12. 10.3390/rs12244183
[26]
Lekkas, E., Lozios, S., Vassilakis, E., Skourtsos, E., Kranis, H., Soukis, K., Diakakis, M., Antoniou, V., Mavroulis, S., and Filis, C. (2021). Design of Immediate Risk Reduction Actions in the Post-Disaster Phase of the Flood Events of August 9, 2020. Evia. Applied Research Program, National and Kapodistrian University of Athens.
[27]
Bormann, P. (2012). Intensity and Intensity Scales. New Manual of Seismological Observatory Practice 2, IASPEI, GFZ German Research Centre for Geosciences.
[28]
Payrastre "The challenge of forecasting impacts of flash floods: Test of a simplified hydraulic approach and validation based on insurance claim data" Hydrol. Earth Syst. Sci. (2017) 10.5194/hess-21-5911-2017
[29]
Kotsi, E., Vassilakis, E., Diakakis, M., Mavroulis, S., Konsolaki, A., Filis, C., Lozios, S., and Lekkas, E. (2023). Using UAS-Aided Photogrammetry to Monitor and Quantify the Geomorphic Effects of Extreme Weather Events in Tectonically Active Mass Waste-Prone Areas: The Case of Medicane Ianos. Appl. Sci., 13. 10.3390/app13020812
[30]
Kumar "Collaborative data acquisition and processing for post disaster management and surveillance related tasks using UAV-based IoT cloud" Int. J. Ad. Hoc Ubiquitous Comput. (2020) 10.1504/ijahuc.2020.108579
[31]
Gebrehiwot "Flood Extent Mapping: An Integrated Method Using Deep Learning and Region Growing Using UAV Optical Data" IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. (2021) 10.1109/jstars.2021.3051873
[32]
Munawar, H.S., Hammad, A.W.A., Waller, S.T., Thaheem, M.J., and Shrestha, A. (2021). An Integrated Approach for Post-Disaster Flood Management Via the Use of Cutting-Edge Technologies and UAVs: A Review. Sustainability, 13. 10.3390/su13147925
[33]
Khan "Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques" Int. J. Disaster Risk Reduct. (2020) 10.1016/j.ijdrr.2020.101642
[34]
Unmanned aerial systems for photogrammetry and remote sensing: A review

I. Colomina, P. Molina

ISPRS Journal of Photogrammetry and Remote Sensing 2014 10.1016/j.isprsjprs.2014.02.013
[35]
‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications

M.J. Westoby, J. Brasington, N.F. Glasser et al.

Geomorphology 2012 10.1016/j.geomorph.2012.08.021
[36]
Mavroulis, S., Vassilakis, E., Diakakis, M., Konsolaki, A., Kaviris, G., Kotsi, E., Kapetanidis, V., Sakkas, V., Alexopoulos, J.D., and Lekkas, E. (2022). The Use of Innovative Techniques for Management of High-Risk Coastal Areas, Mitigation of Earthquake-Triggered Landslide Risk and Responsible Coastal Development. Appl. Sci., 12. 10.3390/app12042193
[37]
Unmanned Aerial Vehicles: Control Methods and Future Challenges

Zongyu Zuo, Cunjia Liu, Qing-Long Han et al.

IEEE/CAA Journal of Automatica Sinica 10.1109/jas.2022.105410
[38]
Hussain, Y., Schlögel, R., Innocenti, A., Hamza, O., Iannucci, R., Martino, S., and Havenith, H.B. (2022). Review on the Geophysical and UAV-Based Methods Applied to Landslides. Remote Sens., 14. 10.3390/rs14184564
[39]
Rango "Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management" J. Appl. Remote Sens. (2009) 10.1117/1.3216822
[40]
Nex "UAV for 3D mapping applications: A review" Appl. Geomat. (2014) 10.1007/s12518-013-0120-x
[41]
Drones for Flood Monitoring, Mapping and Detection: A Bibliometric Review

Umair Iqbal, Muhammad Zain Bin Riaz, Jiahong Zhao et al.

Drones 10.3390/drones7010032
[42]
Daud "Applications of drone in disaster management: A scoping review" Sci. Justice (2022) 10.1016/j.scijus.2021.11.002
[43]
Denizli, A., Alencar, M.S., Nguyen, T.A., and Motaung, D.E. (2022). Chapter 9—Unmanned aerial vehicles (UAVs) for disaster management. Micro and Nano Technologies, Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention, Elsevier.
[44]
Anderson "Lightweight unmanned aerial vehicles will revolutionize spatial ecology" Front. Ecol. Environ. (2013) 10.1890/120150
[45]
Elkhrachy "Accuracy Assessment of Low-Cost Unmanned Aerial Vehicle (UAV) Photogrammetry" Alex. Eng. J. (2021) 10.1016/j.aej.2021.04.011
[46]
Mohsan "Unmanned aerial vehicles (UAVs): Practical aspects, applications, open challenges, security issues, and future trends" Intell. Serv. Robot. (2023)
[47]
Science, technology and the future of small autonomous drones

Dario Floreano, Robert J. Wood

Nature 2015 10.1038/nature14542
[48]
Andrews, L.S. (2024, December 12). Attack of the Drones: Ethical, Legal and Strategic Implications of UAV Use. MIT Center for International Studies, n.d. Available online: https://cis.mit.edu/publications/audits/attack-drones-ethical-legal-and-strategic-implications-uav-use.
[49]
Ishiwatari "Leveraging Drones for Effective Disaster Management: A Comprehensive Analysis of the 2024 Noto Peninsula Earthquake Case in Japan" Prog. Disaster Sci. (2024) 10.1016/j.pdisas.2024.100348
[50]
Jackman, A., and Hooper, L. (2023). Drone Incidents and Misuse: Legal Considerations, University of Reading. Available online: https://research.reading.ac.uk/drone-geographies/wp-content/uploads/sites/271/2023/12/Drone-incidents_Jackman-Hooper.pdf.

Showing 50 of 63 references

Metrics
3
Citations
63
References
Details
Published
Jan 22, 2025
Vol/Issue
15(3)
Pages
1100
License
View
Authors
Cite This Article
Nafsika Ioanna Spyrou, Michalis Diakakis, Spyridon Mavroulis, et al. (2025). Integrating Ground and UAV Mapping for GIS-Based Application of the Flash Flood Impact Severity Scale (FFISS) for the 2009 and 2020 Evia (Greece) Flash Floods. Applied Sciences, 15(3), 1100. https://doi.org/10.3390/app15031100