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REFERENCES Blaškovičová, L., Horvát, O., Hlavčová, K., Kohnová, S., Szolgay, J., 2011. Methodology for post-event analysis of flash floods - Svacenický Creek Case Study. Contributions to Geophysics and Geodesy, 41, 3, 235–250. Borga, M., Boscolo, P., Zanon, F., Sangati, M., 2007. Hydrometeorological Analysis of the 29 August 2003 Flash Flood in the Eastern Italian Alps. Journal of Hydrometeorology, 8, 1049–1067. Borga, M., Gaume, E., Creutin, J.D., Marchi, L., 2008. Surveying flash flood response: gauging the ungauged extremes. Hydrol. Process., 22, 3883–3885. Da

References [1] Maftei C., Papatheodorou K., Flash Flood Prone Area Assessment Using Geomorphological and Hydraulic Model. J Environ Prot Ecol, 16 (1), 63 (2015); [2] Sârbu, D. - A Mathematical Model Used to Simulate Floods on The Racu Brook, Ovidius University Annals of Constanta-Series Civil Engineering, Year XIV - Nr. 15, ISSN-1584-5990, pp. 257 - 264, Constanța, 2013; [3] US Army Corps of Engineers, HEC-RAS River Analysis System. User's Manual, USA, Hydrologic Engineering Center http://www.hec.usace.army.mil/software/hecras/documentation/HECRAS_4.1_Users

Mountains, Carpathian Journal of Earth and Environmental Sciences , 5, 161-168. 34. Pârvulescu L., Zaharia C., Groza M., Csillik O., Satmari A. and Drăguţ L., 2016 ‒ Flash-flood potential: a proxy for crayfish habitat stability, Ecohydrology , 9, 1507-1516. 35. Pennak R. W. 1989 ‒ Fresh-water invertebrates of the United States: Protozoa to Mollusca, John Wiley and Sons, New York, USA, 268. 36. Pîrvu M. and Pacioglu O., 2012 ‒ The ecological requirements of caddisflies larvae (Insecta: Trichoptera) and their usefulness in water quality assessment of a river in south

Indicator of Future Results? Climate change , 135,395-408. Dorn H., Vetter M., Höfle B. 2014. GIS-Based Roughness Derivation for Flood Simulations: A Comparison of Orthophotos, LiDAR and Crowdsourced Geodata, Remote Sensing ., 6; 1739-1759. Elkhrachy I. 2015. Flash Flood Hazard Mapping Using Satellite Images and GIS Tools: A case study of Najran City, Kingdom of Saudi Arabia (KSA). The Egyptian Journal of Remote Sensing and Space Sciences , 18, 2: 261–278. Emmanouloudis D., Myronidis D., Ioannou K. 2008. Assessment of flood risk in Thasos Island with the combined use

References Adi, S 2013, ‘Characterisation of flash flood disaster in Indonesia’, Jurnal Sains dan Teknologi Indonesia, vol. 15, no. 1, pp. 42‑51. BPS - Statistics of Bandung Barat Regency 2016, Bandung Barat Regency in figures, Statistics of Bandung Barat Regency. Carpenter, S & Grunewald, F 2016, ‘Disaster preparedness in a complex urban system: the case of Kathmandu Valley, Nepal’, Disasters, vol. 40, issue 3, pp. 411-431. Chiba, M 2011, ‘Warning and evacuation in response to sedimentrelated disasters’, Natural Hazards, vol. 56, issue 2, pp. 499‑507. Gay, RL

] Whigham, P. A., Crapper, P. F. (2001). Modelling Rainfall-Runoff Relationships using Genetic Programming. Mathematical and Computer Modelling: An International Journal, Volume 33, pp 707-721. DOI: 10.1016/S0895-7177(00)00274-0; [9] Dinu, C., Drobot, R., Pricop, C., Blidaru, T. V. (2017). Flash-flood modelling with artificial neural networks using radar rainfall estimates. Scientific Journal - Mathematical Modeling in Civil Engineering, Vol. 13-No. 3: 10-20 - 2017, Doi:10.1515/mmce-2017-0008; [10] Poli R., Langdon W.B., McPhee N.F. (2008). A Field Guide to Genetic

References JANÁL P., STARÝ M., 2009a: Fuzzy model pro předpověď stupně ohroženosti povodí povodněmi z přívalových dešťů. (Fuzzy model use for prediction of the state of emergency of river basin in the case of flash flood.) J. Hydrol. Hydromech., Vol. 57 , No. 3, p. 145-153. JANÁL P., STARÝ M., 2009b: Fuzzy Model Use for Evaluation of Peak Outflow from River Basin during Flash Flood, CCWI, p. 725-729, Sheffield, ISBN 978-0-415-54854-9. JANÁL P., STARÝ M., 2010: Operativní předpovědi povodní z přívalových dešťů pomocí fuzzy modelu. Hydrologické dny 2010, Hradec

Abstract

São Vicente island (República de Cabo Verde) lies within the Sahelian zone and faces a number of natural hazards, of which the most significant ones are erosion and gully formation, desertification and flash flooding hazards. Based on examples, we set out to examine the main factors involved in the development of these natural hazards from a regional point of view, while simultaneously assessing the importance of anthropic action as a structural factor. The investigation of Lazareto’s gullies (located to the west of Mindelo) aimed to determine the main factors of the gullies formation. It also sought to demonstrate that the gullies’ formation is a reliable indicator of the high rates of erosion on a regional scale. The approach to the desertification hazards was based on farmers’ perception related to the evolution of agricultural production, strategies to mitigate drought and desertification issues, consequences and future prospects based on a set of interviews conducted in Ribeira da Vinha. Finally, the intense rainfall event that occurred on August 26, 2008 was analysed to identify the main vulnerability factors of the city in light of the flash flood hazard.

References ADÁMYOVÁ S., 1989: Long-term year discharges, their territorial and time variability. In: Collection of papers of SHMI, 29/II. ALFA, Bratislava, 13-148. ARISTEIDIS G., KOUTROULIS A., IOANNIS K., TSANIS J., 2010: A method for estimating flash flood peak discharge in a poorly gauged basin: Case study for the 13-14 January 1994 flood, Giofiros basin, Crete. Greece J. Hydrol., 385 , 150-164. BLAŠKOVIČOVÁ L., HORVÁT O., HLAVČOVÁ K., KOHNOVÁ S., SZOLGAY J., 2011: Methodology for Post-Event Analysis of Flash Floods - Svacenický Creek case study

Košiciach, Košice, 7 s. JANÁL P., STARÝ M., 2007: Odhad rizika ohrožení pobřežníků povodněmi z přívalových dešťů pomocí fuzzy modelu. Hodnocení rizik ve vodním hospodářství, Brno, 6 s. JANÁL P., STARÝ M., 2008: Operative prediction of the state of emergency of small river basin in the case of flash flood. I International Interdisciplinary Technical Conference of Young Scientists, Poznaň, 3 p., ISBN 978-83-926896-0-7. JANG J.R., 1993: ANFIS: Adaptive-Network-Based Fuzzy Inference System, IEEE Transactions on Systems. Man, and Cybernetics, Vol. 23 , No. 3, 1993. MATLAB