Open Access
Issue
E3S Web Conf.
Volume 65, 2018
International Conference on Civil and Environmental Engineering (ICCEE 2018)
Article Number 07007
Number of page(s) 10
Section Hydrology & Hydraulics
DOI https://doi.org/10.1051/e3sconf/20186507007
Published online 26 November 2018
  1. C. B. Field. Managing the risks of extreme events and disasters to advance climate change adaptation: Special report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge (2012) [Google Scholar]
  2. A. K. Mishra, V. P. Singh. J. Hydrol. 391, 202-216 (2010). [Google Scholar]
  3. A. K. Mishra, V. P. Singh. J. Hydrol. 403, 157-175 (2011). [CrossRef] [Google Scholar]
  4. A. Belayneh, J. Adamowski, B. Khalil, J. Quilty. Atmos. Res. 172-173, 37-47 (2016). [CrossRef] [Google Scholar]
  5. T.B. McKee, N.J. Doesken, J. Kleist. (1993) The Relationship of Drought Frequency and Duration to Time Scales. In: Proc. 8th Conf. on Applied Climatology, 17-22 January, Americ Meteorol Soc, Mass, pp 179-184 [Google Scholar]
  6. W.C. Palmer. Meteorological drought. Research Paper No. 45. US Weather Bureau, Washington (1965). [Google Scholar]
  7. I. Bordi, A. Sutera (2007) Drought monitoring and forecasting at large scale. In: Rossi G (ed) Methods and tools for drought analysis and management. Springer, Dordrecht, pp 3-27 [Google Scholar]
  8. I. Nalbantis, G. Tsakiris. Water Resour Manag. 23, 881-897 (2009). [CrossRef] [Google Scholar]
  9. S.M. Vicente-Serrano, S. Beguería, J.I. López-Moreno. J. Clim. 23, 1696-1718 (2010). [Google Scholar]
  10. J. Lorenzo-Lacruz, S.M. Vicente-Serrano, J.I. López-Moreno. J. Hydrol. 386, 13-26 (2010). [CrossRef] [Google Scholar]
  11. J.I. López-Moreno, S.M. Vicente-Serrano, J. Zabalza, S. Beguería, J. Lorenzo-Lacruz, C. Azorin-Molina, E. Morán-Tejeda. J. Hydrol. 477, 175-188 (2012). [CrossRef] [Google Scholar]
  12. Z. Liu, Y. Wang, M. Shao, X. Jia, X. Li. J. Hydrol. 534, 281-299 (2016). [CrossRef] [Google Scholar]
  13. M. Xiao, Q. Zhang, V.P. Singh, L. Liu. J. Hydrol. 534, 297-406 (2016). [CrossRef] [Google Scholar]
  14. M. Ozger, A.K. Mishra, V.P. Singh. Int J Climatol. 31, 2021-2032 (2011). [CrossRef] [Google Scholar]
  15. A. Belayneh, J. Adamowski, B. Khalil, B. Ozga-Zielinski. J. Hydrol. 508, 418-429. (2014). [CrossRef] [Google Scholar]
  16. M. Masinde. Mitig Adapt Strat Gl. 19(8), 1139-1162 (2014). [CrossRef] [Google Scholar]
  17. R.C. Deo, M.K. Tiwari, J.F. Adamowski, J.M. Quilty. Stoch Env Res Risk A. 31, 1211-1240 (2016). [CrossRef] [Google Scholar]
  18. R. Prasad, R.C. Deo, Y. Li, T. Maraseni. Atmos Res. 197, 42-63 (2017). [CrossRef] [Google Scholar]
  19. A. Belayneh., J. Adamowski. J Water Land De. 18, 3-12 (2013). [CrossRef] [Google Scholar]
  20. J.L. Chiang, Y.S. Tsai. Appl Mech Mater. 145, 455-459 (2012). [CrossRef] [Google Scholar]
  21. J.L. Chiang, Y.S. Tsai. Appl Mech Mater. 284-287, 1473-1477 (2013). [CrossRef] [Google Scholar]
  22. M. Jalili, J. Gharibshah, S.M. Ghavami, M. Beheshtifar, R. Farshi. IEEE T Comput. 63, 90-101 (2014). [CrossRef] [Google Scholar]
  23. A. Jalalkamali, M. Moradi, N. Moradi. Int J Environ Sci Te. 12, 1201-1210 (2015). [CrossRef] [Google Scholar]
  24. M. Borji, A. Malekian, A. Salajegheh, M. Ghadimi. Arab J Geosci. 9, 725 (2016). [CrossRef] [Google Scholar]
  25. Y. Freund, R.E. Schapire. Mach Learn. 148-156 (1996). [Google Scholar]
  26. J. Adamowski, K. Sun. J Hydrol. 390, 85-91 (2010). [CrossRef] [Google Scholar]
  27. M. Ozger, A.K. Mishra, V.P. Singh. J Hydrometeorol. 13, 284-297 (2012). [CrossRef] [Google Scholar]
  28. A.D. Mehr, E. Kahya, M. Ozger. J Hydrol. 517, 691-699 (2014). [CrossRef] [Google Scholar]
  29. S. Djerbouai, D. Souag-Gamane. Water Resour Manag. 30, 2445-2464 (2016). [CrossRef] [Google Scholar]
  30. N. Abdulah, J. Juhaimi, K. Abdul Rahman. Capacity Development to support National Drought Management Policy. Hanoi (2014). [Google Scholar]
  31. V. Vapnik. The Nature of Statistical Learning Theory. Springer Verlag, New York, USA (1995). [Google Scholar]
  32. V. Kecman. Learning and Soft Computing. MIT Press, London (2001). [Google Scholar]
  33. O. Kisi, M. Cimen. J Hydrol. 399, 132-140 (2011). [CrossRef] [Google Scholar]
  34. V. Cherkassky, Y. Ma. Neural Netw. 17(2004), 113-126 (2004). [Google Scholar]
  35. J.H. Friedman. Ann Stat. 29(5), 1189-1232 (1999). [Google Scholar]
  36. A. Cordiner. Adaboost Toolbox: A Matlab Toolbox for Adaptive Boosting. Advanced Multimedia Research Lab Oratory Information Communications Technology Research Institute. University of Wollongong, Australia (2009). [Google Scholar]
  37. R. Maheswaran, R. Khosa. Comput Geosci. 46, 284-295 (2011). [CrossRef] [Google Scholar]
  38. B. Cannas, A. Fanni, G. Sias, S. Tronci, M.K. Zedda. Geophysical Research Abstracts. River flow forecasting using neural networks and wavelet analysis. 7 (2005). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.