Abstract
Floods are the most common natural disasters threatening the welfare of humanity. Gaziantep, a city located in a semi-arid region of Turkey, is occasionally flooded, and in May 2014, a flood not only caused property damage, but also resulted in the death of a lady who became trapped in flood waters. The fatality and property damage of flash floods arise from the limited response time for remediation. Despite improvements in numerical weather predictions, forecasting flash floods is not easy. Due to its frequent observations, Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) real-time (RT) 3B42RT data are tested for Gaziantep flood predictions in this study. During TRMM era, six floods occurred in Gaziantep. Three-hourly 3B42RT data covering the 2000- to 2014-year period indicated high rain rates during months in which floods were observed. Also daily variation of rainfall was well represented. High-intensity rain (HIR), cumulative distribution functions (CDF) and Gaziantep Flood Index (GAFI) indices are developed for flood characterization. HIR, calculated as 10 mm/h, detected October and December of 2010 floods. CDFs with 99, 98.5, 95 and 91.3% indicated 4 floods occurred in August 2005, June 2007, October 2010 and December 2010, respectively. GAFI was able to detect 4 out of 6 occurrences (August 2005, June 2007, October 2010 and December 2010) as values ranging from 1 to 2.63 are selected for monthly precipitation. In the missed occurrence, 3B42RT did not indicate any rainfall. Although only rain rates are used in flood characterization, the results are promising, and the simplicity of the methodology favors its usage. Also, methodology can easily be implemented to TRMM following missions such as Global Precipitation Measurement Mission.
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References
AFAD (2016) https://www.afad.gov.tr/tr/IcerikListele.aspx?ID=153. Accessed 13 July 2016
Alfieri L, Thielen J (2012) A European precipitation index for extreme rain–storm and flash flood early warning. Meteorol Appl 22:3–13. doi:10.1002/met.1328
Alfieri L, Velasco D, Thielen J (2011) Flash flood detection through a multi-stage probabilistic warning system for heavy precipitation events. Adv Geosci 29:69–75
Asante KO, Macuacuca RD, Artan GA, Lietzow RW, Verdin JP (2007) Developing a flood monitoring system from remotely sensed data for the Limpopo Basin. IEEE Trans Geosci Remote Sens 45(6):1709–1714
Basak Gazetesi (2016) http://www.basakgazetesi.com/haber/57287/gaziantepte-sel-felaketi. Accessed 4 Nov 2016
Borga M, Stoffel M, Marchi L, Marra F, Jakob M (2014) Hydrogeomorphic response to extreme rainfall in headwater systems: flash floods and debris flows. J Hydrol 518:194–205. doi:10.1016/j.jhydrol.2014.05.022
Climate-Data (2016). http://tr.climate-data.org/location/286/. Accessed 17 Oct 2016
Duan Z, Bastiaanssen WGM (2013) First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling-calibration procedure. Remote Sens Environ 131:1–13
EMA (2002) Hazards, disasters and survival. An analysis of construction innovation literature. In: Fifth international postgraduate research conference, April 14–15, Vol. 2, Salford, pp 589–594
Ergünay O (1999) Acil yardım planlaması ve Afet yönetimi. Uzman Der Dergisi 6–7:p10
Haggag M, El-Badry H (2013) Mesoscale numerical study of quasi-stationary convective system over Jeddah in November 2009. Atmos Clim Sci 3:73–86
Hamada A, Murayama Y, Takayabu YN (2014) Regional characteristics of extreme rainfall extracted from TRMM PR measurements. J Clim 27:8151–8169. doi:10.1175/Jcli-D-14-00107.1
Hapuarachchi HAP, Wang QJ, Pagano TC (2011) A review of advances in flash flood forecasting. Hydrol Process 25(18):2771–2784
Hong Y, Adler RF, Negri A, Huffman GJ (2007) Flood and landslide applications of near real-time satellite rainfall products. Nat Hazards 43(2):285–294
Hong Y, Adler RF, Huffman GJ, Pierce H, Gebremichael M, Hossain F (2010) Applications of TRMM-based multi-satellite precipitation estimation for global runoff prediction: prototyping a global flood modeling system satellite rainfall applications for surface hydrology. Springer, Amsterdam, pp 245–265
Huffman GJ, Adler RF, Bolvin DT, Gu G, Nelkin EJ, Bowman KP, Hong Y, Stocker EF, Wolff DB (2007) The TRMM multisatellite precipitation analysis (TMPA):quasi-global, multilayer, combined-sensor precipitation estimates at fine scales. J Hydrometerol 8:38–55
IFRC (2016) International Federation of Red Cross and Red Crescent Societies. Types of disasters. http://www.ifrc.org/en/what-we-do/disaster-management/about-disasters/definition-of-hazard/. Accessed 31 Oct 2016
Jonkman SN, Kelman I (2005) An analysis of the causes and circumstances of flood disaster deaths. Disasters 29(1):75–97
Negri AJ, Burkardt N, Golden JH, Halverson JB, Huffman GJ, Larsen MC, McGinley JA, Updike RG, Verdin JP, Wieczorek GF (2005) The hurricane-flood-landslide continuum. Bull Am Meteorol Soc 86(9):1241–1247
Pombo S, de Oliveira RP (2015) Evaluation of extreme precipitation estimates from TRMM in Angola. J Hydrol 523:663–679. doi:10.1016/j.jhydrol.2015.02.014
Soytekin A (2010) Evaluating the use of satellite-based precipitation estimates for discharge estimation in ungaguged basins. M.Sc. Dissertation, Middle East Technical University
Tekeli AE, Fouli H (2016) Evaluation of TRMM satellite-based precipitation indexes for flood forecasting over Riyadh City, Saudi Arabia. J Hydrol 541(Part A):471–479. doi:10.1016/j.jhydrol.2016.01.014
TRMM (2016a). http://trmm.gsfc.nasa.gov/. Accessed 23 Feb 2016
TRMM (2016b). http://trmm.gsfc.nasa.gov/3b42.html. Accessed 14 Mar 2016
Turkish State Meteorological Services (2016a). http://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?m=GAZIANTEP. Accessed 23 Aug 2016
Turkish State Meteorological Services (2016b). http://www.mgm.gov.tr/veridegerlendirme/maksimum-yagisalar.aspx. Accessed 28 Oct 2016
Wanders N, Pan M, Wood EF (2015) Correction of real time satellite precipitation with multi sensor satellite observations of land surface variables. Remote Sens Environ 160:206–221
Wardah T, Abu Bakar SH, Bardossy A, Maznorizan M (2008) Use of geostationary meteorological satellite images in convective rain estimation for flash-flood forecasting. J Hydrol 356(3–4):283–298
World Disasters Report (2003) International Federation of Red Cross and Red Crescent Societies
Zehe E, Sivapalan M (2009) Threshold behaviour in hydrological systems as (human) geo-ecosystems: manifestations, controls, implications. Hydrol Earth Syst Sci 13:1273–1297. doi:10.5194/hess-13-1273-2009
Zipser EJ, Cecil DJ, Liu C, Nesbitt SW, Yorty DP (2006) Where are the most intense thunderstorms on Earth? Bull Am Meteorol Soc 87:1057–1071. doi:10.1175/Bams-87-8-1057
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The data providers of TRMM 3B42RT are sincerely acknowledged.
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Dönmez, S., Tekeli, A.E. Comparison of TRMM-based flood indices for Gaziantep, Turkey. Nat Hazards 88, 821–834 (2017). https://doi.org/10.1007/s11069-017-2892-5
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DOI: https://doi.org/10.1007/s11069-017-2892-5