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Natural Hazards

, Volume 84, Issue 2, pp 1015–1033 | Cite as

Investigation of flash flood natural causes of Xirolaki Torrent, Northern Greece based on GIS modeling and geomorphological analysis

  • Konstantinos Tsanakas
  • Kalliopi Gaki-Papanastassiou
  • Kleomenis Kalogeropoulos
  • Christos Chalkias
  • Petros Katsafados
  • Efthimios Karymbalis
Original Paper
  • 278 Downloads

Abstract

This paper presents an attempt to evaluate the flood discharge for a severe flood event, which took place on October 25th, 2009. Based on spatial and meteorological data, a simulation of the flood event was established, through hydrological modeling, in a GIS environment. Furthermore, the geomorphological characteristics of the drainage basin and the drainage network were analysed. The results of the modeling such as the peak discharge, hydrograph, and volume, derived from the analysis of measured hydrographs in a number of non-flood causing rainfall events with operating stage gauge, were used for calibration and verification of the simulated stage-discharge hydrographs. Drainage basin characteristics such as steepness of the relief combined with a relatively short main channel of the drainage network as well as abnormalities in the hierarchical drainage by stream order are the main natural flood causes amplified of course by the intense human interference at the lower part of the drainage network with a series of constructions such as roads inside the main channel. Geomorphological analysis combined with GIS techniques are fundamental components of flood risk management as they provide the basis for a broad understanding of the relationship between river processes and flood causes in a fast and effective way in the context of policy makers.

Keywords

Flood Modeling GIS Torrential catchment Unit hydrograph Geomorphological analysis 

Notes

Acknowledgments

We gratefully acknowledge the Editors of the Journal, and two anonymous Reviewers for their critical comments and suggestions that significantly improved the manuscript.

References

  1. Ahrens CD (2006) Meteorology today, 8th edn. Brooks Cole, CaliforniaGoogle Scholar
  2. Belmonte AMC, Beltrán FS (2001) Flood events in Mediterranean ephemeral streams (ramblas) in Valencia region. Spain Catena 45(3):229–249CrossRefGoogle Scholar
  3. Callow JN, Van Niel KP, Boggs GS (2007) How does modifying a DEM to reflect known hydrology affect subsequent terrain analysis? J Hydrol 332(1–2):30–39CrossRefGoogle Scholar
  4. Chen F, Dudhia J (2001) Coupling an advanced land-surface/hydrology model with the Penn State/NCAR MM5 modeling system. Part I: model implementation and sensitivity. Mon Wea Rev 129(4):569–585CrossRefGoogle Scholar
  5. Chow V, Maidment D, Mays L (1988) Applied hydrology. McGraw-Hill Education, New YorkGoogle Scholar
  6. Davis WM (1899) The geographical cycle. Geogr J 14(5):481–504CrossRefGoogle Scholar
  7. De Vera MR (1984) Rainfall-runoff relationship of some catchments with karstic geomorphology under arid to semi-arid conditions. J Hydrol 68(1–4):85–93CrossRefGoogle Scholar
  8. Diakakis M (2011) Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery. Nat Hazards 56(3):803–814CrossRefGoogle Scholar
  9. Du J, Xie H, Hu Y, Xu Y, Xu CY (2009) Development and testing of a new storm runoff routing approach based on time variant spatially distributed travel time method. J Hydrol 369(1–2):44–54CrossRefGoogle Scholar
  10. EEA-European Environment Agency (2003) Mapping the impacts of recent natural disasters and technological accidents in Europe. Floods Environmental issue report Copenhagen 35:5–10Google Scholar
  11. Ferrier BS, Jin Y, Lin Y, Black T, Rogers E, DiMego G (2002) Implementation of a new grid-scale cloud and precipitation scheme in the NCEP Eta model In: Preprints, proceedings of the 15th conference on numerical weather prediction. American Meteorological Society, San Antonio, pp 280–283Google Scholar
  12. Gajbhiye S, Mishra SK (2012) Application of NRSC-SCS curve number model in runoff estimation using RS & GIS, Advances in Engineering, Science and Management (ICAESM). In: International conference on, Nagapattinam, Tamil Nadu, pp 346–352Google Scholar
  13. Gioti E, Riga C, Kalogeropoulos K, Chalkias C (2013) A GIS-based flash flood runoff model using high resolution DEM and meteorological data. EARSeL eProceedings 12(1):33–43Google Scholar
  14. Holmes KW, Chadwick OA, Kyriakidis PC (2000) Error in a USGS 30-meter digital elevation model and its impact on terrain modeling. J Hydrol 233(1–4):154–173CrossRefGoogle Scholar
  15. Hutchinson MF (2003) ANUDEM version 4.6.3. Australian National University, Centre for Environmental Studies, CanberraGoogle Scholar
  16. Janjic ZI (1996) The Mellor–Yamada level 2.5 scheme in the NCEP Eta model. In: Proceedings of the 11th conference on numerical weather prediction. American Meteorological Society, Norfolk, VA, pp 19–23Google Scholar
  17. Janjic ZI, Gerrity JP Jr, Nickovic S (2001) An alternative approach to nonhydrostatic modelling. Mon Wea Rev 129:1164–1178CrossRefGoogle Scholar
  18. Kalogeropoulos K, Karalis S, Karymbalis E, Chalkias C, Chalkias G, Katsafados P (2013) Modeling flash floods in vouraikos river mouth. In: Proceedings of the MEDCOAST conference 2013. II, Marmaris, Turkey, pp 1135–1146Google Scholar
  19. Karalis S, Karymbalis E, Valkanou K, Chalkias C, Katsafados P, Kalogeropoulos K, Batzakis V, Bofilios A (2014) Assessment of the relationships among catchments’ morphometric parameters and hydrologic indices. Int J Geosci 5:1571–1583CrossRefGoogle Scholar
  20. Karymbalis E, Chalkias C, Ferentinou M, Maistrali A (2011) Flood hazard evaluation in small catchments based on quantitative geomorphology and GIS modeling: the case of Diakoniaris torrent (W. Peloponnese, Greece). In: Lambrakis N, Stournaras G, Katsanou K (eds) Advances in the research of aquatic environment, Environmental Earth Sciences, Springer, Berlin, pp 137–145Google Scholar
  21. Karymbalis E, Katsafados P, Chalkias C, Gaki-Papanastassiou K (2012) An integrated study for the evaluation o of natural and anthropogenic causes of flooding in small catchments based on geomorphological and meteorological data and modeling techniques: the case of the Xerias Torrent (Corinth, Greece). Z für Geomorphol 56(1):045–067CrossRefGoogle Scholar
  22. Katsafados P, Kalogirou S, Papadopoulos A, Korres G (2012) Mapping long-term atmospheric variables over Greece. J Maps 8:181–184CrossRefGoogle Scholar
  23. Kilias AA, Tranos MD, Orozco M, Alonso-Chaves FM, Soto JI (2002) Extensional collapse of the hellenides: a review. Revista de la Sociedad Geológica de España 15:129–139Google Scholar
  24. Maidment DR (1993) Developing a spatially distributed unit hydrograph by using GIS Applications of geographic information systems in hydrology and water resources management. In: Proceedings of international conference. Vienna 1993, Austria, pp 181–192Google Scholar
  25. Mancini M, Rosso R (1989) Using GIS to assess spatial variability of SCS curve number at the basin scale. In: Kavvas M (ed) New directions for surface water modeling, vol 181. IAHS Publishing, pp 435–444Google Scholar
  26. Martinez-Mena M, Albaladejo J, Castillo VM (1998) Factors influencing surface runoff generation in a Mediterranean semi-arid environment: chicamo watershed, SE Spain. Hydrol Process 12(5):741–754CrossRefGoogle Scholar
  27. Martin-Vide JP, Niñerola D, Bateman A, Navarro A, Velasco E (1999) Runoff and sediment transport in a torrential ephemeral stream of the mediterranean coast. J Hydrol 225(3–4):118–129CrossRefGoogle Scholar
  28. Melesse AM, Graham WD (2004) Storm runoff prediction based on a spatially distributed travel time method utilizing remote sensing and GIS. J Am Water Resour As 40(4):863–879CrossRefGoogle Scholar
  29. Mishra SK, Singh VP (1999) Behavior of SCS-CN method in C-Ia-k Spectrum. In: Singh VP, Seo IL, Sonu JH (eds) Hydrologic modeling. Water Resources Publications, Littleton, pp 112–117Google Scholar
  30. Muzik I (1996) Flood modelling with GIS-derived distributed unit hydrographs. Hydrol Process 10(10):1401–1409CrossRefGoogle Scholar
  31. Olivera F, Maidment D (1999) Geographic information systems (GIS)-based spatially distributed model for runoff routing. Polygr Int 1:1155–1164Google Scholar
  32. Post DA, Jakeman AJ (1996) Relationships between catchment attributes and hydrological response characteristics in small Australian mountain ash catchments. Hydrol Process 10(6):877–892CrossRefGoogle Scholar
  33. Romsoo SA, Bhat SA, Rashid I (2012) Geoinformatics for assessing the morphometric control on hydrological response at watershed scale in the upper indus basin. J Earth Syst Sci 121(3):659–686CrossRefGoogle Scholar
  34. Runge J, Nguimalet CR (2005) Physiogeographic features of the Oubangui catchment and environmental trends reflected in discharge and floods at Bangui 1911–1999, Central African Republic. Geomorphology 70(3–4):311–324CrossRefGoogle Scholar
  35. Schick AP (1988) Hydrologic aspects of floods in extreme arid environments. Flood Geomorphology, Wiley, New York, pp 189–203Google Scholar
  36. Sharma CS, Mishra A, Panda SN (2014) Assessing impact of flood on river dynamics and susceptible regions: geomorphometric analysis. Water Res Manag 28(9):2615–2638CrossRefGoogle Scholar
  37. Sreedevi PD, Sreekanth PD, Khan HH, Ahmed S (2013) Drainage morphometry and its influence on hydrology in a semi arid region: using SRTM data and GIS. Environ Earth Sci 70(2):839–848CrossRefGoogle Scholar
  38. Stiros S, Arnold M, Laborel F, Pirazzoli P, Pomoni-Papaioannou F (1994) Late quaternary uplift of the Olympus–Pelion range coasts (Macedonia–Thessaly, Greece). Bull Geol Soc Greece 30:325–330Google Scholar
  39. Strahler A (1957) Quantitative analysis of watershed Geomorphology. Am Geophys Union Trans 38(6):913–920CrossRefGoogle Scholar
  40. Wallace JM, Hobbs PV (2006) Atmospheric science. An introductory survey. Academic Press, CambridgeGoogle Scholar
  41. Youssef AM, Pradhan B, Hassan AM (2011) Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery. Environ Earth Sci 62(3):611–623CrossRefGoogle Scholar
  42. Zende AbhijitM, Nagarajan R, Atal KR (2014) Analysis of surface runoff from Yerala river basin using SCS-CN and GIS. Int J Geomatics Geosci 4(3):508–516Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Department of Geography-Climatology, Faculty of Geology and GeoenvironmentNational Kapodistrian University of AthensAthensGreece
  2. 2.Department of GeographyHarokopio UniversityAthensGreece

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