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All issues Volume 464 (2023) E3S Web Conf., 464 (2023) 11005 References
Open Access
Issue
E3S Web Conf.
Volume 464, 2023
The 2nd International Conference on Disaster Mitigation and Management (2nd ICDMM 2023)
Article Number 11005
Number of page(s) 6
Section Environmental Issues
DOI https://doi.org/10.1051/e3sconf/202346411005
Published online 18 December 2023
  1. H. Wang, Y. Chen, S. Xun, D. Lai, Y. Fan, and Z. Li. Theor. Appi. Climatol., 112(1-2), pp. 15–28, (2013) [CrossRef] [Google Scholar]
  2. Y. Y. Loo, L. Billa, and A. Singh, Geosci. Front., 6(6), pp. 817–823, (2015) [CrossRef] [Google Scholar]
  3. N. Sunusi, E. T. Herdiani, and Nirwan, J. Environ. Sci. Technol., 10(6), pp. 320–324, (2017) [CrossRef] [Google Scholar]
  4. R. D. Harmel, C. W. Richardson, and K. W. King, Trans. ASAE, 43(6), pp. 1483–1488, (2000) [CrossRef] [Google Scholar]
  5. Supari, Sudibyakto, J. Ettema, and E. Aldrian, Indones. J. Geogr., 44(1), pp. 62–68, (2012) [Google Scholar]
  6. Trenberth, K., Changes in precipitation with climate change, Clim. Res., 47(1), pp. 123–138, (2011) [Google Scholar]
  7. Sukarna, E. Y. P. Ananda, and M. S. Wahyuni, J. Phys. Conf. Ser., 2123(1), pp. 012044, (2021) [CrossRef] [Google Scholar]
  8. Du, H. Xia, J. Zeng, S. She, D. and Liu, J. Variations and statistical probability characteristic analysis of extreme precipitation events under climate change in Haihe River Basin, China: variations characteristics of extreme precipitation in HRB, Hydrol. Process., 28(3), pp. 913–925, (2014) [CrossRef] [Google Scholar]
  9. Li, Z. Brissette, F. and Chen, J. Int. J. Climatol., 34(2), pp. 462–471, (2014) [CrossRef] [Google Scholar]
  10. Rahman, A. S. Rahman, A. Zaman, M. A. Haddad, K. Ahsan, A. and Imteaz, M., Nat. Hazards, 69(3), pp. 1803–1813, (2013) [CrossRef] [Google Scholar]
  11. Zalina, M. D. Desa, M. N. M. Nguyen, V. T. A., and Kassim, A. H. M. Water Sci. Technol., 45(2), pp. 63–68, (2002) [CrossRef] [Google Scholar]
  12. Shaharudin, S. M., Ahmad, N., Mohamed, N. S., and Mahdin, H. Indones. J. Electr. Eng. Comput. Sci., 18(3), pp. 1367, (2020) [Google Scholar]
  13. Davison, A. C., and Smith, R. L. Models for Exceedances Over High Thresholds, J. R. Stat. Soc. Ser. B Methodol., 52(3), pp. 393–425, (1990) [Google Scholar]
  14. Chinhamu, K., Huang, C. K. Huang, C. S., and Hammujuddy, J., South Afr. J. Econ., 83(1), pp. 41–55, (2015) [CrossRef] [Google Scholar]
  15. Cooley, D., A. Agha Kouchak, D. Easterling, K. Hsu, S. Schubert, and S. Sorooshian, Extr. Chang. Clim., 65, pp. 97–114. (2013) [Google Scholar]
  16. Martins, A. L. A. Liska, G. R. Beijo, L. A. de Menezes, F. S., and Cirillo, M. Â. SN Appl. Sci., 2(9), pp. 1479, (2020) [CrossRef] [Google Scholar]
  17. Boudrissa, N., Cheraitia, H., and Halimi, L. Meteorol. Appl., 24(1), pp. 114–119, (2017) [CrossRef] [Google Scholar]
  18. D’Arrigo, R. dan Wilson, R. Int. J. Climatol., 28, 611–616 (2008) [CrossRef] [Google Scholar]
  19. Hidayat, R., and Kizu, S. Int. J. Climatol., 30, 1816–1825 (2010) [CrossRef] [Google Scholar]
  20. As-Syakur, A. R., Spatial pattern of influence of La Nina events on rainfall in Indonesia in 1998/1999; observation using TRMM multisatellite precipitation analysis data (TMPA) 3B43, Pros. Pertemuan Ilmiah Tahunan MAPIN XVII Bandung. (2010) [Google Scholar]
  21. Lee, H. S., General rainfall patterns in Indonesia and the potential impacts of local seas on rainfall intensity, Water, 7, 1750–1768 (2015) [Google Scholar]
  22. Supari, Tangang, F., Salimun, E., Aldrian, E., Sopaheluwakan, A., and Juneng, L. Clim. Dyn., 1–22 (2017) [Google Scholar]
  23. Giarno and Nanaruslana, R., The Precursors of High Rainfall Intensity During June in Southern Central Java: A Case Study of Flash Floods 18 June 2016 in Purworejo, Mausam, 73 (4), 867–886, (2022) [Google Scholar]
  24. Bai, Lei, Chunxiang Shi, Lanhai Li, Yanfen Yang, and Jing Wu. Remote Sens. 10(3), pp. 362. (2018) [CrossRef] [Google Scholar]
  25. Macharia, J. M., Ngetich, F. K., and Shisanya, C. A. Agr. & Forest Met., 284, pp. 107875 (2020) [CrossRef] [Google Scholar]
  26. Shrestha, N. K. Qamer, F. M., Pedreros, D. Murthy, M. S. R. Wahid, S. Md., and Shrestha, M. J. Hydrol. Reg. Stud., 13, 138–151 (2017) [CrossRef] [Google Scholar]
  27. Gao, F., Zhang, Y., Chen, Q., Wang, P., Yang, H., Yao, Y., and Cai, W. Atmos. Res., 212, pp. 150–157, (2018) [CrossRef] [Google Scholar]
  28. Wu, W., Li, Y., Luo, X., Zhang, Y., Ji, X., and Li, X. Geomat. Nat. Hazards Risk., 10(1), pp. 2145–2162, (2019) [CrossRef] [Google Scholar]
  29. Coles, S., An introduction to statistical modeling of extreme values. London; New York: Springer, (2001) [CrossRef] [Google Scholar]
  30. Ahrens, B. Hydrol. Earth Syst. Sci., 10, pp. 197–208. (2006) [CrossRef] [Google Scholar]
  31. Kebloutia, M. Ouerdachia, L. and Boutaghane, H. Energy Procedia, 18, pp. 468–475, (2012) [CrossRef] [Google Scholar]
  32. Ly, S., Charles, C. and Degré, A. Agron. Soc. Environ. 17(2), pp. 392–406. (2013) [Google Scholar]
  33. Yang, X., Xie, X., Liu, D. L., Ji, F. and Wang, L. Spatial Interpolation of Daily Rainfall Data for Local Climate Impact Assessment over Greater Sydney Region. Adv. Meteorol., (2015) [Google Scholar]
  34. Giarno, Hadi, M. P., Suprayogi, S., and Murti, S. H. Forum Geogr., 33(2), pp. 219–232, (2020) [CrossRef] [Google Scholar]
  35. Koutsoyiannis, D. On the appropriateness of the Gumbel distribution for modelling extreme rainfall. Proceedings of the ESF LESC Exploratory Workshop, Bologna: European Science Foundation, National Research Council of Italy, (2003) [Google Scholar]
  36. Koutsoyiannis, D., Kozonis, D., and Manetas, A. J. Hydrol., 206, 118–135 (1998) [CrossRef] [Google Scholar]
  37. Viglione, A., and Blöschl, G. Hydrol. Earth Syst. Sci., 13, 205–216 (2009) [CrossRef] [Google Scholar]
  38. Chow, V., Maidment, D., and Mays, L., Applied Hydrology, McGraw-Hill Book Company, New York, NY, USA, (1988) [Google Scholar]
  39. Mimikou, M.A., Baltas, E.A., and Tsihrintzis, V.A. Hydrology and Water Resource Systems Analysis, CRC Press: Boca Raton, FL, USA, (2016) [CrossRef] [Google Scholar]
  40. Gumbel, E.J. Statistics of Extremes, Columbia University Press, New York, NY, USA, (1958) [CrossRef] [Google Scholar]
  41. Noto, L.V., and Loggia, G.L. Water Resour. Manag., 23, 2207–2229 (2008) [Google Scholar]
  42. Eregno, F.E., Nilsen, V., Seidu, R., and Heistad. Environ. Process., 1, 287–309 (2014) [CrossRef] [Google Scholar]
  43. Tsakiris, G., Kordalis, N., and Tsakiris, V. Environ. Process., 2, 705–716 (2015) [CrossRef] [Google Scholar]
  44. Yannopoulos, S., Eleftheriadou, E., Mpouri, S., and Giannopoulou, I. Environ. Process. 2, 191–207 (2015) [CrossRef] [Google Scholar]
  45. Razmi, A., Golian, S., and Zahmatkesh, Z. Water Resour. Manag., 31, 2065–2083 (2017) [CrossRef] [Google Scholar]
  46. Stojkovic, M., and Simonovic, S.P. Water Resour. Manag., 33, 2885–2906 (2019) [CrossRef] [Google Scholar]
  47. Ullah, H., and Akbar, M. Environ. Process., 8, 139–162 (2021) [CrossRef] [Google Scholar]
  48. Razmi, A., Mardani-Fard, H.A., Golian, S., Zahmatkesh, Z. Environ. Process., 9, 1–27 (2022) [CrossRef] [Google Scholar]
  49. Tegos, A., Ziogas, A., Bellos, V., and Tzimas, A. Forensic Hydrology: A Complete Reconstruction of an Extreme Flood Event in Data-Scarce Area, Hydrology, 9, 93 (2022) [Google Scholar]
  50. Grimaldi, S., Kao, S.C., Castellarin, A., Papalexiou, S.M., Viglione, A., Laio, F., Aksoy, H., and Gedikli, A. Elsevier: Amsterdam, The Netherlands, 2, pp. 479–517, (2011) [Google Scholar]
  51. Madsen, H., Lawrence, D., Lang, M., Martinkova, M., Kjeldsen, T.R. A Review of Applied Methods in Europe for Flood-Frequency Analysis in a Changing Environment. (2012). Available online: https://hal.inrae.fr/hal-02597863/document (accessed on 10 Aug 2022). [Google Scholar]
  52. CARE, Indonesia: Over 500, 000 people affected by floods in Java, reliefweb.int. Available online: https://reliefweb.int/report/indonesia/indonesia-over-500000-people-affected-floods-java, (accessed on 10 Aug 2022) [Google Scholar]
  53. Begueria, S., and Vicente-Serrano, S. M. J Appl Meteorol Climatol., 45, pp. 108–124, (2006) [CrossRef] [Google Scholar]
  54. Burrough, P. A., and McDonnell, R. A., Principles of geographical information systems. Oxford: Oxford University Press. (1998) [Google Scholar]
  55. Naoum, S., and Tsanis, I. K. Journal of Hydroinformatics, 6, pp. 39–56. (2004) [CrossRef] [Google Scholar]
  56. Vicente-Serrano, S. M., Lanjeri, S., and Lopez-Moreno, J. I. J Appl Meteorol Climatol., 27(8), pp. 11030–1118, (2007) [Google Scholar]
  57. Weisse, A. K., and Bois, Ph. Hydrol Sci J., 47 (5), 739–752, (2002) [CrossRef] [Google Scholar]
  58. Giarno, Hadi, M. P., Suprayogi, S., and Murti, S. H. Forum Geogr., 33(2), pp. 219–232, (2020) [CrossRef] [Google Scholar]

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