EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 328 (2021) E3S Web Conf., 328 (2021) 04019 References
Open Access
Issue
E3S Web Conf.
Volume 328, 2021
International Conference on Science and Technology (ICST 2021)
Article Number 04019
Number of page(s) 7
Section Information System, Big Data, Design Application, IOT
DOI https://doi.org/10.1051/e3sconf/202132804019
Published online 06 December 2021
  1. W. Kron, “Flood risk = hazard • values • vulnerability,” Water Int., vol. 30, no. 1, pp. 58– 68, (2005), doi: 10.1080/02508060508691837. [CrossRef] [Google Scholar]
  2. K. Ali, R. M. Bajracharya, and H. L. Koirala, “A Review of Flood Risk Assessment,” Int. J. Environ. Agric. Biotechnol., vol. 1, no. 4, pp. 1065–1077, (2016), doi: 10.22161/ijeab/1.4.62. [Google Scholar]
  3. A. M. J. De Kraker, “Flooding in river mouths: Human caused or natural events? Five centuries of flooding events in the SW Netherlands, 15002000,” Hydrol. Earth Syst. Sci., vol. 19, no. 6, pp. 2673–2684, (2015), doi: 10.5194/hess-192673-2015. [CrossRef] [Google Scholar]
  4. I. M. Magami, S. Yahaya, and K. Mohammed, “Causes and consequences of flooding in Nigeria: a review CAUSES AND CONSEQUENCES OF FLOODING IN NIGERIA: A REVIEW,” Biol. Environ. Sci. J. Trop., vol. 11, no. June, pp. 154–162, (2014). [Google Scholar]
  5. G. Schädler et al., “Flood Hazards in a Changing Climate,” Clim. Res., p. 86, (2012), [Online]. Available: file:///C:/PDF_Mendeley/Flood_Hazards_in_a _Changing_Climate.pdf. [Google Scholar]
  6. A. Miradj and S. Rahman, “Analisis Debit Banjir Sungai Uru Ino, Kabupaten Halmahera Timur Menggunakan Pendekatan Hidrograf Satuan Sintetis ( Hss ) Gamma I Dan Hss,” vol. 13, no. 1, pp. 1–13, (2020). [Google Scholar]
  7. J. I. T. Moreng, M. Murdiyanto, and H. V. Oroh, “Analisis Kerentanan Banjir di Daerah Aliran Sungai (DAS) Mede Kabupaten Halmahera Utara,” J. Episentrum, vol. 1, no. 2, p. 12, (2020), doi: 10.36412/jepst.v1i2.2122. [CrossRef] [Google Scholar]
  8. F. Paper, Z. K. Misbah, E. R. Ahadian, and U. Khairun, “Jurnal of Science and Engineering BANJIR,” pp. 1–13, (2020). [Google Scholar]
  9. Y. A. Priambodo and K. M, “Jurnal SIPILsains,” J. Sipilsains, vol. 10, no. 2 September, pp. 151–156, (2020), [Online]. Available: http://ithh.journal.ipb.ac.id/index.php/p2wd/arti cle/view/22930. [Google Scholar]
  10. D. Rivaldy, T. J.-J. S. Statik, and undefined 2018, “Evaluasi Kapasitas Penampang Sungai Tugurara Kota Ternate Terhadap Debit Banjir,” Ejournal.Unsrat.Ac.Id, vol. 7, no. 9, pp. 1159– 1169, (2019), [Online]. Available: https://ejournal.unsrat.ac.id/index.php/jss/articl e/view/19862. [Google Scholar]
  11. M. R. Lessy, N. Nagu, M. Rizal, N. Wahiddin, and U. Khairun, “Flood Risk Assessment and Its Vulnerability in Coastal Villages, Central Halmahera District-North Maluku Marine Resources Management,” 2018. [Google Scholar]
  12. C. Armenakis, E. X. Du, S. Natesan, R. A. Persad, and Y. Zhang, “Flood risk assessment in urban areas based on spatial analytics and social factors,” Geosci., vol. 7, no. 4, pp. 1–15, (2017), doi: 10.3390/geosciences7040123. [CrossRef] [Google Scholar]
  13. S. Zlatanova, T. Ghawana, A. Kaur, and J. M. M. Neuvel, “Integrated flood disaster management and spatial information: Case studies of netherlands and India,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. ISPRS Arch., vol. XL–8, no. 1, pp. 147–154, (2014), doi: 10.5194/isprsarchives-XL-8-147(2014). [CrossRef] [Google Scholar]
  14. A. Gharagozlou, H. Nazari, and M. Seddighi, “Spatial Analysis for Flood Control by Using Environmental Modeling,” J. Geogr. Inf. Syst., vol. 03, no. 04, pp. 367–372, (2011), doi: 10.4236/jgis.2011.34035. [Google Scholar]
  15. P. Tran, R. Shaw, G. Chantry, and J. Norton, “GIS and local knowledge in disaster management: a case study of flood risk mapping in thua thien hue province, Vietnam,” Disasters, vol. 33, no. 1, pp. 152–169, (2008), [Online]. Available: http://web.a.ebscohost.com.recursosbiblioteca.eia.edu.co/ehost/pdfviewer/pdfviewer?vid=5&s id=4156fa22-6825-43ac-add7495761bf50ba%40sdc-v-sessmgr01. [Google Scholar]
  16. S.S.M.J.S,N.H.K,W.D.P,F.J.S.M,H. M. K, and S. L, “Application of Remote Sensing and Gis for Flood Risk Analysis: a Case Study At Kalu-Ganga River, Sri Lanka,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. XXXVIII, no. 8, pp. 110–115, (2010). [Google Scholar]
  17. N. Hazarika, D. Barman, A. K. Das, A. K. Sarma, and S. B. Borah, “Assessing and mapping flood hazard, vulnerability and risk in the Upper Brahmaputra River valley using stakeholders’ knowledge and multicriteria evaluation (MCE),” J. Flood Risk Manag., vol. 11, pp. S700–S716, (2018), doi: 10.1111/jfr3.12237. [CrossRef] [Google Scholar]
  18. K. M, R. O, S. A, N.-U.-Mi. M, and H. M. N, “Geo Spatial Assessment of Flood Hazard in Jhang District, Pakistan,” J. Basic Appl. Sci., vol. 13, pp. 577–582, (2017), doi: 10.6000/1927-5129.2017.13.93. [CrossRef] [Google Scholar]
  19. A. Rimba, M. Setiawati, A. Sambah, and F. Miura, “Physical Flood Vulnerability Mapping Applying Geospatial Techniques in Okazaki City, Aichi Prefecture, Japan,” Urban Sci., vol. 1, no. 1, p. 7, (2017), doi: 10.3390/urbansci1010007. [CrossRef] [Google Scholar]
  20. I. Ahmad and M. Dar, “Flood Hazard Mapping Using Exploratory Regression Model in GIS Domain.” [Google Scholar]
  21. G. Damar Pandulu, “Analisis Dan Pemetaan Daerah Kritis Rawan Bencana Wilayah Uptd Sda Turen Kabupaten Malang,” J. Reka Buana, vol. 1, no. 2, pp. 73–78, (2015). [Google Scholar]
  22. R. Few, M. Ahern, F. Matthies, and S. Kovats, “Floods, health and climate change: a strategic review,” East, no. November, p. 138 pp., (2004), [Online]. Available: http://www.tyndall.ac.uk/publications/working _papers/wp63_summary.shtml%5Cnhttp://tynd all.ac.uk/sites/default/files/wp63.pdf. [Google Scholar]
  23. P. Hettiarachchi and S. Lanka, “Hydrological Report on the Kelani River Flood in May 2016 Hydrological Report on the Kelani River Flood in May 2016,” no. May 2016, (2020). [Google Scholar]
  24. L. Gigović, D. Pamučar, Z. Bajić, and S. Drobnjak, “Application of GIS-interval rough AHP methodology for flood hazard mapping in Urban areas,” Water (Switzerland), vol. 9, no. 6, pp. 1–26, (2017), doi: 10.3390/w9060360. [Google Scholar]
  25. G. S. Ogato, A. Bantider, K. Abebe, and D. Geneletti, “Geographic information system (GIS)-Based multicriteria analysis of flooding hazard and risk in Ambo Town and its watershed, West shoa zone, oromia regional State, Ethiopia,” J. Hydrol. Reg. Stud., vol. 27, no. November 2019, p. 100659, (2020), doi: 10.1016/j.ejrh.2019.100659. [CrossRef] [Google Scholar]
  26. S. I. Seneviratne et al., “Changes in climate extremes and their impacts on the natural physical environment,” Manag. Risks Extrem. Events Disasters to Adv. Clim. Chang. Adapt. Spec. Rep. Intergov. Panel Clim. Chang., vol. 9781107025, pp. 109–230, (2012), doi: 10.1017/CBO9781139177245.006. [Google Scholar]
  27. T. T. An, V. Raghavan, N. V. Long, S. Izuru, and N. Tsutsumida, “A GIS-based Approach for Flood Vulnerability Assessment in Hoa Vang District, Danang City, Vietnam,” IOP Conf. Ser. Earth Environ. Sci., vol. 652, no. 1, (2021), doi: 10.1088/1755-1315/652/1/012003. [Google Scholar]
  28. H. Allafta and C. Opp, “GIS-based multi-criteria analysis for flood prone areas mapping in the trans-boundary Shatt Al-Arab basin, Iraq-Iran,” Geomatics, Nat. Hazards Risk, vol. 12, no. 1, pp. 2087–2116, (2021), doi: 10.1080/19475705.2021.1955755. [CrossRef] [Google Scholar]
  29. M. Rahman et al., “Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis,” Earth Syst. Environ., vol. 3, no. 3, pp. 585–601, (2019), doi: 10.1007/s41748-019-00123-y. [CrossRef] [Google Scholar]
  30. K. K. E. Perera, “Flood Hazard Assessment Using Gis-Based Multi-Criteria Analysis: A Case Study From Downstream Of Kelani River Basin, Sri Lanka,” vol. 3, no. 1, pp. 50–68, (2021). [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.