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Risk to residents, infrastructure, and water bodies from flash floods and sediment transport

  • Miroslav BauerEmail author
  • Tomas Dostal
  • Josef Krasa
  • Barbora Jachymova
  • Vaclav David
  • Jan Devaty
  • Ludek Strouhal
  • Pavel Rosendorf
Article
  • 49 Downloads

Abstract

Intense rainfall-runoff events and subsequent soil erosion can cause serious damage to the infrastructure in residential areas in Europe countries and all over the world. In the Czech Republic, the Ministry of the Interior has supported an analysis dealing with the risks to residents, infrastructure, and water bodies from flash floods and sediment transport. A total of more than 150,000 risk points were identified by GIS morphology and land-use analysis. The threat, the vulnerability, and the resulting risk category were determined for each of these points. The WaTEM/SEDEM model was used to assess the threat with 10-m data resolution. The summarized vulnerability of real objects on individual runoff trajectories was combined with the threat of sediment transport, resulting in the overall risk represented by a 5-degree scale, from lowest (1) to highest (5). The output of the project lies stored in the WEB application. Nineteen percent of the sites in the Czech Republic, i.e., more than 23,000 sites, have been assigned to categories 4 and 5, with a high level of risk. Thirty-four percent of cadastral units are classified as the high risky (4416 cadasters, with a total area 24,707 km2). Approximately 30% of the population of the Czech Republic lives in high-risk cadastral areas. Four scenarios of protection were modeled. To reduce the high-risk and very high-risk sites (categories 4 and 5), the most effective solution is the implementation of technical measures or conversion to grassland within the contributing watersheds. This could reduce the number of high-risk sites from 23,400 to 3700.

Methods of sediment transport modeling and risk evaluation, based on presented USLE input data and documented WaTEM/SEDEM model, can be used worldwide. Especially in post-soviet union countries with shared arable land development and erosion consequences.

Keywords

Soil erosion Sediment transport Pluvial flow USLE WaTEM/SEDEM Risk 

Notes

Acknowledgements

The authors would like to thank all contributors and project partners from the Water Research Institute. We would like to express many thanks to Robin Healey for his linguistic quality control of this paper.

Funding information

This research has been supported by project VG20122015092 of the Ministry of the Interior; the published paper also contains information obtained within research projects QK1720289 and QJ1530181 of the Ministry of Agriculture of Czech Republic, SGS17/173/OHK1/3T/11 of CTU in Prague and LTC 18030 of The European Cooperation in Science and Technology (COST).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. Anton. (2017). CO Meeting Organizer EGU2017. http://meetings.copernicus.org/. Accessed 5 April 2017
  2. Azam, M., Kim, H. S., & Maeng, S. J. (2017). Development of flood alert application in Mushim stream watershed Korea. International Journal of Disaster Risk Reduction, 21, 11–26.  https://doi.org/10.1016/j.ijdrr.2016.11.008.CrossRefGoogle Scholar
  3. Báčová, M., & Krása, J. (2016). Application of historical and recent aerial imagery in monitoring water erosion occurrences in Czech highlands. Soil & Water Research, 11(4), 267–276.  https://doi.org/10.17221/178/2015-SWR.CrossRefGoogle Scholar
  4. Barceló, D., Petrović, M. M. & SedNet (Organization). (2007). Sediment quality and impact assessment of pollutants. In D. Barcelo & M. Petrovic (Eds.),. Elsevier.Google Scholar
  5. Boardman, J., & Poesen, J. (2006). Soil Erosion in Europe: Major processes, causes and consequences. In Soil Erosion in Europe (pp. 477–487). Chichester: John Wiley & Sons.  https://doi.org/10.1002/0470859202.ch36.CrossRefGoogle Scholar
  6. Boardman, J., & Vandaele, K. (2016). Effect of the spatial organization of land use on muddy flooding from cultivated catchments and recommendations for the adoption of control measures. Earth Surface Processes and Landforms, 41(3), 336–343.  https://doi.org/10.1002/esp.3793.CrossRefGoogle Scholar
  7. Braud, I., & Zappa, M. (2016). Flash floods, hydro-geomorphic response and risk management. Journal of Hydrology, 541, 1–5.  https://doi.org/10.1016/j.jhydrol.2016.08.005.CrossRefGoogle Scholar
  8. Cerdan, O., Le Bissonnais, Y., Couturier, A., & Saby, N. (2002). Modelling interrill erosion in small cultivated catchments. Hydrological Processes, 16(16), 3215–3226.  https://doi.org/10.1002/hyp.1098.CrossRefGoogle Scholar
  9. Chandrashekar, H., Lokesh, K. V., Sameena, M., Roopa, J., & Ranganna, G. (2015). GIS –based morphometric analysis of two reservoir catchments of Arkavati River, Ramanagaram District, Karnataka. In Aquatic Procedia: International conference on water resources, coastal and ocean engineering 2015 (Vol. 4, pp. 1345–1353).  https://doi.org/10.1016/j.aqpro.2015.02.175.CrossRefGoogle Scholar
  10. Chaplot, V. (2013). Impact of terrain attributes, parent material and soil types on gully erosion. Geomorphology, 186, 1–11.  https://doi.org/10.1016/j.geomorph.2012.10.031.CrossRefGoogle Scholar
  11. Conforti, M., Aucelli, P. P. C., Robustelli, G., & Scarciglia, F. (2011). Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (northern Calabria, Italy). Natural Hazards, 56(3), 881–898.  https://doi.org/10.1007/s11069-010-9598-2.CrossRefGoogle Scholar
  12. Czech National Council. (1992). Czech National Council Act no. 334/1992 Coll., On protection of agricultural land, eAGRI (in Czech). http://eagri.cz/public/web/mze/legislativa/pravni-predpisy-mze/tematicky-prehled/Legislativa-MZe_uplna-zneni_zakon-1992-334-ochranaZPF.html. Accessed 5 April 2017.
  13. ČÚZK. (2017). Fundamental Base of Geographic Data of the Czech Republic, ČÚZK (in Czech). http://geoportal.cuzk.cz/(S(xx1ci1xn3jvlvrljeyt5ynxq))/default.aspx?mode=TextMeta&text=dSady_zabaged&side=zabaged&menu=24. Accessed 5 April 2017.
  14. Davidova, T., Dostal, T., David, V., & Strauss, P. (2015). Determining the protective effect of agricultural crops on the soil erosion process using a field rainfall simulator. Plant, Soil and Environment, 61(3), 109–115.  https://doi.org/10.17221/903/2014-PSE.CrossRefGoogle Scholar
  15. Desmet, P. J. J., & Govers, G. (1996). A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. Journal of Soil and Water Conservation, 51(5), 427–433.Google Scholar
  16. van Dijk, a. I. J. M., Bruijnzeel, L. a., & Rosewell, C. J. (2002). Rainfall intensity - kinetic energy relationships: a critical literature appraisal. Journal of Hydrology, 261, 1–23.  https://doi.org/10.1016/S0022-1694(02)00020-3.CrossRefGoogle Scholar
  17. Dostál, T., Vrána, K., Krása, J., Koláčková, J., Jakubíková, A., & David, V. (2006). Methods and techniques of prediction of surface runoff, erosion and transport processes in landscape, project research report. COST, 634 (in Czech).Google Scholar
  18. Douvinet, J., Van De Wiel, M. J., Delahaye, D., & Cossart, E. (2015). A flash flood hazard assessment in dry valleys (northern France) by cellular automata modelling. Natural Hazards, 75(3), 2905–2929.  https://doi.org/10.1007/s11069-014-1470-3.CrossRefGoogle Scholar
  19. Drbal, K., Ošlejšková, J., Dumbrovský, M., & Macků, J. (2009). Evaluation of floods in the Czech Republic (in Czech).Google Scholar
  20. EU CAP. (2013). The Common Agricultural Policy (CAP) in your country | Agriculture and rural development. https://ec.europa.eu/agriculture/cap-in-your-country_en. Accessed 5 April 2017.
  21. EU CC. (2009). Cross-compliance | Agriculture and rural development. https://ec.europa.eu/agriculture/envir/cross-compliance_en. Accessed 5 April 2017.
  22. EU Directive. (2007). Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks. http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32007L0060. Accessed 5 April 2017.
  23. Förstner, U. (2015). Sediments and the EU-water framework directive: revisiting the Elbe 2015 river basin management plan. Journal of Soils and Sediments, 15(9), 1863–1864.  https://doi.org/10.1007/s11368-015-1206-3.CrossRefGoogle Scholar
  24. Gutman, G. (2017). Land-Cover and Land-Use Changes in Eastern Europe after the Collapse of the Soviet Union in 1991.  https://doi.org/10.1007/978-3-319-42638-9.
  25. Hanel, M., Máca, P., Bašta, P., Vlnas, R., & Pech, P. (2016). Rainfall erosivity factor in the Czech Republic and its Uncertainty. Hydrology and Earth System Sciences Discussions, (April), 1–24.  https://doi.org/10.5194/hess-2016-158.
  26. Jachymova, B., & Krasa, J. (2017). A new method for modeling dissolved phosphorus transport with the use of WaTEM/SEDEM. Environmental Monitoring and Assessment, 189(8), 365.  https://doi.org/10.1007/s10661-017-6082-4.CrossRefGoogle Scholar
  27. Jan, J., Borovec, J., Kopáček, J., & Hejzlar, J. (2013). What do results of common sequential fractionation and single-step extractions tell us about P binding with Fe and Al compounds in non-calcareous sediments? Water Research, 47(2), 547–557.  https://doi.org/10.1016/j.watres.2012.10.053.CrossRefGoogle Scholar
  28. Janeček, M. (2012). Protection of agricultural land from erosion. Prague: Czech University of Life Science.Google Scholar
  29. Karagiorgos, K., Thaler, T., Heiser, M., Hübl, J., & Fuchs, S. (2016). Integrated flash flood vulnerability assessment: insights from East Attica, Greece. Journal of Hydrology, 541, 553–562.  https://doi.org/10.1016/j.jhydrol.2016.02.052.CrossRefGoogle Scholar
  30. Kavka, P., Bauer, M., Devaty, J., Dostal, T., & Krasa, J. (2013). Soil erosion modeling in Czech Republic - computer models in various scales. In International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management. SGEM.  https://doi.org/10.5593/SGEM2013/BC3/S13.026.
  31. Kinnell, P. I. A. (2010). Event soil loss, runoff and the universal soil loss equation family of models: a review. Journal of Hydrology, 385(1–4), 384–397.  https://doi.org/10.1016/j.jhydrol.2010.01.024.CrossRefGoogle Scholar
  32. Krása, J. (2010). Empirical models of soil erosion by water in the Czech Republic—tools, data, challenges and risks of assessment. Prague: Czech technical university.Google Scholar
  33. Krása, J., Dostal, T., Van Rompaey, A., Vaska, J., & Vrana, K. (2005). Reservoirs’ siltation measurments and sediment transport assessment in the Czech Republic, the Vrchlice catchment study. Catena, 64(2–3), 348–362.  https://doi.org/10.1016/j.catena.2005.08.015.CrossRefGoogle Scholar
  34. Krasa, J., Dostal, T., Rosendorf, P., & Borovec, J. (2015). Modelling of sediment and phosphorus loads in reservoirs in the Czech Republic. In M. A. Fullen, J. Famodimu, T. Karyotis, C. Noulas, A. Panagopoulos, J. . Rubio, & D. R. Gabriels (Eds.), Advances in GeoEcology (Vol. 44, pp. 21–34).Google Scholar
  35. Krása, J., Stredova, H., Dostál, T., & Novotny, I. (2016). Rainfall erosivity research on the territory of the Czech Republic. In Mendel and Bioclimatology – Conference proceedings (pp. 182–196) Brno, CZ.Google Scholar
  36. Kron, W. (2005). Flood risk = hazard • values • vulnerability. Water International, 30(1), 58–68.  https://doi.org/10.1080/02508060508691837.CrossRefGoogle Scholar
  37. Liu, Q. J., Shi, Z. H., Yu, X. X., & Zhang, H. Y. (2014). Influence of microtopography, ridge geometry and rainfall intensity on soil erosion induced by contouring failure. Soil and Tillage Research, 136, 1–8.  https://doi.org/10.1016/j.still.2013.09.006.CrossRefGoogle Scholar
  38. Llasat, M. C., Llasat-Botija, M., Prat, M. A., Por, U. F., Price, C., Mugnai, A., et al. (2010). High-impact floods and flash floods in Mediterranean countries: the FLASH preliminary database. Advances in Geosciences, 23, 47–55 www.adv-geosci.net/23/47/2010/. Accessed 8 February 2017.CrossRefGoogle Scholar
  39. Mahmoodabadi, M., & Sajjadi, S. A. (2016). Effects of rain intensity, slope gradient and particle size distribution on the relative contributions of splash and wash loads to rain-induced erosion. Geomorphology, 253, 159–167.  https://doi.org/10.1016/j.geomorph.2015.10.010.CrossRefGoogle Scholar
  40. McCool, D. K., Foster, G. R., Mutchler, C. K., & Meyer, L. D. (1989). Revised slope length factor for the universal soil loss equation. Transactions of ASAE, 32(5), 1571–1576.  https://doi.org/10.13031/2013.31192.CrossRefGoogle Scholar
  41. Milevski, I. (2008). Estimation of Soil Erosion Risk in the Upper Part of Bregalnica Watershed-Republic of Macedonia, Based on Digital Elevation Model and Satellite Imagery. In 5th International Conference on Geographic Information Systems (ICGIS-2008) (pp. 351–358).Google Scholar
  42. Ministry of Environment. (1999). Ministry of the Environment Decree no. 137/1999 Coll., Laying down the list of water reservoirs and the guidelines for the establishment and modification of protective zones of water resources, eAGRI (in Czech). http://eagri.cz/public/web/mze/legislativa/pravni-predpisy-mze/tematicky-prehled/Legislativa-ostatni_uplna-zneni_vyhlaska-1999-137-voda.html. Accessed 5 April 2017.
  43. Mullan, D. (2013). Soil erosion under the impacts of future climate change: assessing the statistical significance of future changes and the potential on-site and off-site problems. Catena, 109, 234–246.  https://doi.org/10.1016/j.catena.2013.03.007.CrossRefGoogle Scholar
  44. O’Neill, E., Brereton, F., Shahumyan, H., & Clinch, J. P. (2016). The impact of perceived flood exposure on flood-risk perception: the role of distance. Risk Analysis, 36, 2158–2186.  https://doi.org/10.1111/risa.12597.CrossRefGoogle Scholar
  45. OECD. (2008). Environmental Performance of Agriculture at a Glance. Paris: OECD PUBLICATIONS http://www.oecd.org/greengrowth/sustainable-agriculture/40953155.pdf. Accessed 27 March 2017.Google Scholar
  46. Panagos, P., Imeson, A., Meusburger, K., Borrelli, P., Poesen, J., & Alewell, C. (2016). Soil conservation in Europe: wish or reality? Land Degradation and Development, 27(6), 1547–1551.  https://doi.org/10.1002/ldr.2538.CrossRefGoogle Scholar
  47. Pandey, A., Himanshu, S. K., Mishra, S. K., & Singh, V. P. (2016). Physically based soil erosion and sediment yield models revisited. Catena, 147, 595–620.  https://doi.org/10.1016/j.catena.2016.08.002.CrossRefGoogle Scholar
  48. Plate, E. J. (2002). Flood risk and flood management. Journal of Hydrology, 267(1–2), 2–11.  https://doi.org/10.1016/S0022-1694(02)00135-X.CrossRefGoogle Scholar
  49. Rahaman, S. A., Ajeez, S. A., Aruchamy, S., & Jegankumar, R. (2015). Prioritization of sub watershed based on morphometric characteristics using fuzzy analytical hierarchy process and geographical information system – a study of Kallar watershed, Tamil Nadu. In Aquatic Procedia: International conference on water resources, coastal and ocean engineering 2015 (Vol. 4, pp. 1322–1330).  https://doi.org/10.1016/j.aqpro.2015.02.172.CrossRefGoogle Scholar
  50. Rosendorf, P., Dostál, T., Krása, J., & Bauer, M. (2015). Erosion losses - increased risk to the inhabitants and water quality. http://www.heisvuv.cz/data/webmap/datovesady/projekty/eroznismyv/www/index.php. Accessed 31 March 2017.
  51. Toy, T. J., Foster, G. R., & Renard, K. G. (2002). Soil erosion : processes, prediction, measurement, and control. John Wiley & Sons https://books.google.cz/books?hl=cs&lr=&id=7YBaKZ-28j0C&oi=fnd&pg=PA1&dq=Processes,+Prediction,+Measurement,+and+Control.+toy&ots=R5n7M4J1Cl&sig=7zhVQae7yHH_dE6_uyBr8-umcXo&redir_esc=y#v=onepage&q=Processes%2C Prediction%2C Measurement%2C and Control. toy&f=false. Accessed 16 March 2017.
  52. USDA. (1986). Urban hydrology for small watersheds. United States Department of Agriculture Natural Resources Conservation Service Conservation Engineering Division https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb1044171.pdf. Accessed 27 March 2017.
  53. Van Oost, K., Govers, G., & Desmet, P. (2000). Evaluating the effects of changes in landscape structure on soil erosion by water and tillage. Landscape Ecology, 15(6), 577–589.  https://doi.org/10.1023/A:1008198215674.CrossRefGoogle Scholar
  54. Van Rompaey, A. J. J., Verstraeten, G., Van Oost, K., Govers, G., & Poesen, J. (2001). Modelling mean annual sediment yield using a distributed approach. Earth Surface Processes and Landforms, 26(11), 1221–1236.  https://doi.org/10.1002/esp.275.CrossRefGoogle Scholar
  55. Van Rompaey, A., Krasa, J., & Dostal, T. (2007). Modelling the impact of land cover changes in the Czech Republic on sediment delivery. Land Use Policy, 24(3), 576–583.  https://doi.org/10.1016/j.landusepol.2005.10.003.CrossRefGoogle Scholar
  56. de Vente, J., & Poesen, J. (2005). Predicting soil erosion and sediment yield at the basin scale: scale issues and semi-quantitative models. Earth-Science Reviews, 71(1–2), 95–125.  https://doi.org/10.1016/j.earscirev.2005.02.002.CrossRefGoogle Scholar
  57. Verstraeten, G., Van Oost, K., Van Rompaey, A., Poesen, J., & Govers, G. (2002). Evaluating an integrated approach to catchment management to reduce soil loss and sediment pollution through modelling. Soil Use and Management, 18(4), 386–394.  https://doi.org/10.1079/SUM2002150.CrossRefGoogle Scholar
  58. Vopravil, J., Janeček, M., & Tippl, M. (2007). Revised soil erodibility K-factor for soils in the Czech Republic. Soil and Water Research, 2, 1–9.CrossRefGoogle Scholar
  59. Wischmeier, W., & Smith, D. (1978). Predicting rainfall erosion losses: a guide to conservation Planning U.S. Department of Agriculture Handbook No. 537. Washington, DC: US Department of Agriculture.  https://doi.org/10.1029/TR039i002p00285.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Landscape Water Conservation, Faculty of Civil EngineeringCzech Technical University in PraguePragueCzech Republic
  2. 2.T. G. Masaryk Water Research InstitutePrague 6Czech Republic

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