DOI: https://doi.org/10.14710/geoplanning.3.2.161-170

RURAL FLASH-FLOOD BEHAVIOR IN GOUYAVE WATERSHED, GRENADA, CARIBBEAN ISLAND

*Rahmat Aris Pratomo  -  Earth System Analysis, Faculty of-Geo Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
Victor Jetten  -  Earth System Analysis, Faculty of-Geo Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands
Dinand Alkema  -  Earth System Analysis, Faculty of-Geo Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands

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Abstract
Flash-flood is considered as one of the most common natural disasters in Grenada, a tropical small state island in Caribbean Island. Grenada has several areas which are susceptible to flooding. One of them is Gouyave town which is located in the north-west of Grenada. Its land-use types are highly dominated by green areas, especially in the upper-part of the region. The built-up areas can only be found in the lower-part of Gouyave watershed, near the coastal area. However, there were many land conversions from natural land-use types into built-up areas in the upper-part region. They affected the decrease of water infiltration and the increase of potential run-off, making these areas susceptible to flash-flood. In addition, it is also influenced by the phenomenon of climate change. Changes in extreme temperature increase higher potential of hurricanes or wind-storm, directly related to the potential escalation of flash-flood. To develop effective mitigation strategies, understanding the behavior of flash-flood is required. The purpose of this paper was to observe the behavior of flash-flood in Gouyave watershed in various return periods using OpenLISEM software. It was used to develop and analyse the flash-flood characteristics. The result showed that the climatic condition (rainfall intensity) and land-use are influential to the flash-flood event. Flash-flood occurs in 35 and 100 years return period. Flash-flood inundates Gouyave’s area in long duration, with below 1 m flood depth. The flood propagation time is slow. This condition is also influenced by the narrower and longer of Gouyave basin shape. To develop flash-flood reduction strategies, the overall understanding of flash-flood behavior is important. If the mitigation strategy is adapted to their behavior, the implementation will be more optimum.
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Keywords: Gouyave watershed; modelling; OpenLISEM; rural; flash-flood behavior

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Section: Original Research
Language : EN
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  1. Bodoque, J. M., et al. (2016). Improvement of resilience of urban areas by integrating social perception in flash-flood risk management. Journal of Hydrology, 541, 665–676. [http://doi.org/10.1016/j.jhydrol.2016.02.005">CrossRef]

  2. Cao, S., et al. (2008). Modeling on flash flood disaster induced by bed load. Transactions of Tianjin University, 14(4), 296–299. [http://doi.org/10.1007/s12209-008-0050-6">CrossRef]  

  3. Cooper, V., & Opadeyi, J. (2006). Flood hazard mapping of st. Lucia. Retrieved from http://www.caribank.org/wp-content/uploads/2012/03/stlucia-final-flood-hazard-report.pdf">

  4. Creutin, J.-D., & Borga, M. (2003). Radar hydrology modifies the monitoring of flash-flood hazard. Hydrological Processes, 17(7), 1453–1456. [http://doi.org/10.1002/hyp.5122">CrossRef]  

  5. De Roo, A. P., & Jetten, V. (1999). Calibrating and validating the LISEM model for two data sets from the Netherlands and South Africa. CATENA, 37(3–4), 477–493. [http://doi.org/10.1016/S0341-8162(99)00034-X">CrossRef]  

  6. Gaitan, S., ten Veldhuis, M., & van de Giesen, N. (2015). Spatial Distribution of Flood Incidents Along Urban Overland Flow-Paths. Water Resources Management, 29(9), 3387–3399. [http://doi.org/10.1007/s11269-015-1006-y">CrossRef]  

  7. GFDRR. (2010). Disaster Risk Management in Latin America and the Caribbean Region. Retrieved from http://www.gfdrr.org/sites/gfdrr.org/files/DRM_LAC_CountryPrograms.pdf">

  8. Jetten, V. (2014). A brief guide to openLISEM. Electronic document.

  9. Karagiorgos, K., et al. (2016). Integrated flash flood vulnerability assessment: Insights from East Attica, Greece. Journal of Hydrology, 541, 553–562. [http://doi.org/10.1016/j.jhydrol.2016.02.052">CrossRef]  

  10. Kourgialas, N. N., & Karatzas, G. P. (2011). Flood management and a GIS modelling method to assess flood-hazard areas—a case study. Hydrological Sciences Journal, 56(2), 212–225. [http://doi.org/10.1080/02626667.2011.555836">CrossRef]  

  11. Kundzewicz, Z. W., et al. (2014). Flood risk and climate change: global and regional perspectives. Hydrological Sciences Journal, 59(1), 1–28. [http://doi.org/10.1080/02626667.2013.857411">CrossRef]  

  12. Marchi, L., et al. (2010). Characterisation of selected extreme flash floods in Europe and implications for flood risk management. Journal of Hydrology, 394(1–2), 118–133. [http://doi.org/10.1016/j.jhydrol.2010.07.017">CrossRef]   

  13. Mhonda, A., & others. (2013). Evaluating flash flood risk reduction strategies in built-up environment in Kampala. University of Twente.

  14. Niles, E. (2010). Grenada disaster vulnerability reduction project. Retrieved from http://www.gov.gd/egov/docs/other/DVRP_%20EIA_March_2011.pdf">    

  15. Patra, J. P., Kumar, R., & Mani, P. (2016). Combined Fluvial and Pluvial Flood Inundation Modelling for a Project Site. Procedia Technology, 24, 93–100. [http://doi.org/10.1016/j.protcy.2016.05.014">CrossRef]   

  16. Portugués-Mollá, I., et al. (2016). A GIS-Based Model for the analysis of an urban flash flood and its hydro-geomorphic response. The Valencia event of 1957. Journal of Hydrology, 541, 582–596. [http://doi.org/10.1016/j.jhydrol.2016.05.048">CrossRef]

  17. Prachansri, S. (2007). Analysis of soil and land cover parameters for flood hazard assessment: a case study of the Nam Chun watershed, Phetchabun, Thailand. In Earth Systems Analysis. International Institute for Geo-information Science and Earth Observation (ITC) Enschede, The Netherlands.

  18. Pratomo, R. A. (2015). Flash flood behaviour on a small caribbean island: a comparison of two watersheds on grenada. MSc thesis, Applied Earth Science-Natural Hazard and Disaster Risk Management. ITC, Utrecht University, the Netherlands.

  19. Pratomo, R. A., Jetten, V., & Alkema, D. (2016). A comparison of flash flood response at two different watersheds in Grenada, Caribbean Islands. IOP Conference Series: Earth and Environmental Science, 29, 12004. [http://doi.org/10.1088/1755-1315/29/1/012004">CrossRef]

  20. Santangelo, N., et al. (2011). Flood susceptibility assessment in a highly urbanized alluvial fan: the case study of Sala Consilina (southern Italy). Natural Hazards and Earth System Science, 11(10), 2765–2780. [http://doi.org/10.5194/nhess-11-2765-2011">CrossRef]

  21. The Caribbean Disaster Emergency Response Agency (CDERA). (2003). Status of hazard maps vulnerability assessments and digital maps. Retrieved from http://www.eird.org/wiki/images/Hazards_maps_Vulnerability_maps_Grenada.pdf">   

  22. Yin, J., et al. (2016). Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China. Journal of Hydrology, 537, 138–145. [http://doi.org/10.1016/j.jhydrol.2016.03.037">CrossRef]


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