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All issues Volume 120 (2017) MATEC Web Conf., 120 (2017) 05003 References
Open Access
Issue
MATEC Web Conf.
Volume 120, 2017
International Conference on Advances in Sustainable Construction Materials & Civil Engineering Systems (ASCMCES-17)
Article Number 05003
Number of page(s) 9
Section Water and Environment
DOI https://doi.org/10.1051/matecconf/201712005003
Published online 09 August 2017
  1. IPCC, Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and NewYork: Cambridge University Press, (2007). [Google Scholar]
  2. A. G. Yilmaz, M. A. Imteaz, and B. J. C. Perera, Investigation of non-stationarity of extreme rainfalls and spatial variability of rainfall intensity–frequency–duration relationships: a case study of Victoria, Australia, Int. J. Climatol., (2016). [Google Scholar]
  3. E. A. Rosenberg, P. W. Keys, D. B. Booth, D. Hartley, J. Burkey, A. C. Steinemann, and D. P. Lettenmaier, Precipitation extremes and the impacts of climate change on stormwater infrastructure in Washington State, Clim. Change, 102, 1–2, pp. 319–349, (2010). [CrossRef] [Google Scholar]
  4. a. G. Yilmaz and B. J. C. Perera, Extreme Rainfall Non-Stationarity Investigation and Intensity-Frequency-Duration Relationship, J. Hydrol. Eng., (2013). [Google Scholar]
  5. S. Shahid, Trends in extreme rainfall events of Bangladesh, Theor. Appl. Climatol., 104, 3, pp. 489–499, (2011). [CrossRef] [Google Scholar]
  6. H. Shang, J. Yan, M. Gebremichael, and S. M. Ayalew, Trend analysis of extreme precipitation in the Northwestern Highlands of Ethiopia with a case study of Debre Markos, Hydrol. Earth Syst. Sci., 15, 6, pp. 1937–1944, (2011). [CrossRef] [Google Scholar]
  7. E. M. Douglas, M. Asce, and C. A. Fairbank, Is Precipitation in Northern New England Becoming More Extreme ? Statistical Analysis of Extreme Rainfall in Massachusetts, New Hampshire, and Maine and Updated Estimates of the 100-Year Storm, Most, 16, 3, pp. 203–218, (2011). [Google Scholar]
  8. S. A. AlHassoun, Developing an empirical formulae to estimate rainfall intensity in Riyadh region, J. King Saud Univ. - Eng. Sci., 23, 2, pp. 81–88, (2011). [Google Scholar]
  9. I. H. Elsebaie, Developing rainfall intensity–duration–frequency relationship for two regions in Saudi Arabia, J. King Saud Univ. - Eng. Sci., 24, 2, pp. 131–140, (2012). [CrossRef] [Google Scholar]
  10. B. S. Dupont and D. L. Allen, Revision of the rainfall intensity duration curves for the commonwealth of kentucky., USA, (2000). [Google Scholar]
  11. D. Koutsoyiannis, On the appropriateness of the gumbel distribution in modelling extreme rainfall, in Proceedings of the ESF LESC Exploratory Workshop, European Science Foundation, National Resea, (2003), pp. 303–319. [Google Scholar]
  12. D. Koutsoyiannis, D. Kozonis, and A. Manetas, A mathematical framework for studying rainfall intensity-duration-frequency relationships, J. Hydrol., 206, 1–2, pp. 118–135, (1998). [CrossRef] [Google Scholar]
  13. V. R. Baghirathan and E. M. Shaw, Rainfall depth-duration-frequency studies for Sri Lanka, J. Hydrol., 37, 3–4, pp. 223–239, (1978). [CrossRef] [Google Scholar]
  14. A. Gert, D. J. Wall, E. L. White, and C. N. Dunn, Regional Rainfall intensity-duration-function curves for Pennsylvania, Water Resour. Bull, 23, pp. 479–486, (1987). [CrossRef] [Google Scholar]
  15. C. Chen, Rainfall Intensity-Duration-Frequency Formulas, ASCE J. Hydraul. Eng., 109, 12, pp. 1603–1621, (1983). [CrossRef] [Google Scholar]
  16. R. Acar, S. Celik, and S. Senocak, Rainfall Intensity-Duration - Frequency Model using an artificial neural network approach, J. Sci. Ind. Res., 67, pp. 198–202, (2008). [Google Scholar]
  17. R. Acar and S. Senocak, Modelling of Short Duration Rainfall (SDR) Intensity Equations for Ankara, Turkey, in Balwois 2008, (2008), May, pp. 1–9. [Google Scholar]
  18. S. Senocak and R. Acar, Modelling of Short Duration Rainfall (SDR) Intensity Equations for Erzurum, Turkey, J. Eng. Sci., 13, 1, pp. 75–80, (2007). [Google Scholar]
  19. S. Senocak and R. Acar, Modelling of short-duration rainfall intensity equations for the Agean region of Turkey, FRESENIUS Environ. Bull., 16, 9b, (2007). [Google Scholar]
  20. O. L. Asikoglu and Ertugrul Benzeden, Simple generalization approach for intensity–duration– frequency relationships, Hydrol. Process., 28, pp. 1114–1123, (2014). [CrossRef] [Google Scholar]
  21. T. Haktanir, M. Cobaner, and O. Kisi, Frequency analyses of annual extreme rainfall series from 5 min to 24 h, Hydrol. Process., 24, 24, pp. 3574–3588, (2010). [CrossRef] [Google Scholar]
  22. ESRI, ArcGIS online, 2016. [Online]. Available: https://www.arcgis.com/home/index.html. [Accessed: 12-Jan-2016]. [Google Scholar]
  23. W. T. Chow, Handbook of Applied Hydrology. McGraw-Hill, (1988). [Google Scholar]
  24. V. P. Singh, Elementary hydrology. New Jersey: Prentice Hall, (1992). [Google Scholar]
  25. L. Nhat, Y. Tachikawa, and K. Takara, Establishment of intensity-duration-frequency curves for precipitation in the monsoon area of Vietnam, Annu. Dis. Prev. Res. Inst, 49B, pp. 93–103, (2006). [Google Scholar]

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