Open Access
Issue
E3S Web Conf.
Volume 157, 2020
Key Trends in Transportation Innovation (KTTI-2019)
Article Number 02001
Number of page(s) 9
Section Environmental Engineering
DOI https://doi.org/10.1051/e3sconf/202015702001
Published online 20 March 2020
  1. V. Zaalishvili, D. Melkov, Izvestiya, Physics of the Solid Earth, 50 (2014). DOI: 10.1134/S1069351314050097 [Google Scholar]
  2. G. Ganapathy, V. Zaalishvili V.B., D. Melkov, B. Dzeranov, S. Chandrasekaran, Geology and Geophysics of Russian South, 8 (2018). DOI: 10.23671/VNC.2018.3.16552 [Google Scholar]
  3. V. Svalova, V. Zaalishvili, G. Ganapathy, A. Nikolaev, D. Melkov, Geology and Geophysics of Russian South, 9 (2019). DOI: 10.23671/VNC.2019.2.31981 [Google Scholar]
  4. V. Chow, D. Maidment, L. Mays Applied Hydrology (McGraw Hill, 1988). DOI: 10.1080/02626666509493376 [Google Scholar]
  5. A. Rahman, A. Rahman, M. Zaman, K. Haddad, A. Ahsan, Nat Hazards, 69 (2013). DOI: 10.1007/s11069-013-0775-y [Google Scholar]
  6. J. Stedinger, Water Resour Res., 19 (1983). DOI: 10.1029/WR019i002p00503 [Google Scholar]
  7. Z. Zrinji, D. Burn, J Hydrol., 153 (1994). DOI: 10.1016/0022-1694(94)90184-8 [CrossRef] [Google Scholar]
  8. T. Gado, V. Nguyen, J Hydrol Eng., 21 (2016). DOI: 10.1061/(ASCE)HE.1943-5584.0001312 [Google Scholar]
  9. S. Grimaldi, A. Petroselli, F. Serinaldi, Hydrol Sci J., 57 (2012). DOI: 10.1080/02626667.2012.702214 [Google Scholar]
  10. Grehys, J Hydrol., 186 (1996). DOI: 10.1016/S0022-1694(96)03042-9 [Google Scholar]
  11. R. Kumar, C. Chatterjee, S. Kumar, A. Lohani, R. Singh, Water Resour Manag., 17 (2003). DOI: 10.1023/a:1024770124523 [Google Scholar]
  12. K. Yarrakula, B. Samanta, D. Deb, Int J Hydrol Sci Technol., 5 (2015). DOI: 10.1504/ijhst.2015.070097 [CrossRef] [Google Scholar]
  13. V. Srinivas, ISH J Hydraul Eng., 15 (2009). DOI: 10.1080/09715010.2009.10514974 [CrossRef] [Google Scholar]
  14. M. Durocher, F. Chebana, T. Ouarda, Q. Trois-rivières, B. Forges, Hydrol Earth Syst Sci., 20 (2016). DOI: 10.5194/hess-20-4717-2016 [Google Scholar]
  15. D. Burn, Hydrol Sci J., 35 (1990). DOI: 10.1080/02626669009492415 [Google Scholar]
  16. A. Kar, N. Goel, A. Lohani, G. Roy, J Hydrol Eng., 17 (2012). DOI: 10.1061/(asce)he.1943-5584.0000417 [Google Scholar]
  17. V. Srinivas, S. Tripathi, R. Govindaraju, A. Rao, J Hydrol., 348 (2008). DOI: 10.1016/j.jhydrol.2007.09.046 [CrossRef] [Google Scholar]
  18. B. Basu, V. Srinivas, J Hydrol Eng., 21 (2016). DOI: 10.1061/(asce)he.19435584.0001264 [Google Scholar]
  19. T. Ouarda, C. Girard, G. Cavadias, B. Bobée, J Hydrol., 254 (2001). DOI: 10.1016/s00221694(01)00488-7 [CrossRef] [Google Scholar]
  20. L. Kaufman, P. Rousseeuw, Finding Groups in Data: An Introduction To Cluster Analysis, (John Wiley & Sons Inc., New Jersey, 1990). DOI: 10.1002/9780470316801 [Google Scholar]
  21. M. Leclerc, T. Ouarda, J Hydrol., 343 (2007). DOI: 10.1016/j.jhydrol.2007.06.021 [CrossRef] [Google Scholar]
  22. L. Xiong, T. Du, C. Xu, S. Guo, C. Jiang, C. Gippel, Water Resour Manag., 29 (2015). DOI: 10.1007/s11269-015-1019-6 [CrossRef] [Google Scholar]
  23. L. Yan, L. Xiong, S. Guo, C. Xu, J. Xia, T. Du, J Hydrol., 551 (2017). DOI: 10.1016/j.jhydrol.2017.06.001 [Google Scholar]
  24. D. Glatfelter, Techniques for estimating magnitude and frequency of floods on streams in Indiana, US Geol Surv Water Resour Investig Rep. (1984). DOI: 10.3133/wri844134 [Google Scholar]
  25. J. Hosking, J. Wallis, Regional Frequency Analysis: An approach based on L-moments, (Cambridge University Press, New York, 1997). DOI: 10.1017/cbo9780511529443 [CrossRef] [Google Scholar]
  26. A. Reynolds, G. Richards, B. de la Iglesia, J Math Model Algorithms., 5 (2006). DOI: 10.1007/s10852-005-9022-1 [CrossRef] [Google Scholar]
  27. E. Nash, V. Sutcliffe, J Hydrol., 10 (1970). DOI: 10.1016/0022-1694(70)90255-6 [Google Scholar]
  28. R. David, G. Legates, Water Resour Res., 35 (1999). DOI: 10.1029/1998WR900018 [PubMed] [Google Scholar]
  29. D. Radbruch-Hall, R. Colton, W. Davies, I. Lucchitta, B. Skipp, D. Varnes, Landslide Overview Map of the Conterminous United States, (Washington, DC: United States Geological Survey, 1982). DOI: 10.3133/pp1183 [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.