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Reseach Article

Decision Support System for Flood Disaster Mitigation

by Nuka Dumle Nwiabu, Gift Oyekuodi Aselemi
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 21
Year of Publication: 2019
Authors: Nuka Dumle Nwiabu, Gift Oyekuodi Aselemi
10.5120/ijais2019451803

Nuka Dumle Nwiabu, Gift Oyekuodi Aselemi . Decision Support System for Flood Disaster Mitigation. International Journal of Applied Information Systems. 12, 21 ( June 2019), 5-13. DOI=10.5120/ijais2019451803

@article{ 10.5120/ijais2019451803,
author = { Nuka Dumle Nwiabu, Gift Oyekuodi Aselemi },
title = { Decision Support System for Flood Disaster Mitigation },
journal = { International Journal of Applied Information Systems },
issue_date = { June 2019 },
volume = { 12 },
number = { 21 },
month = { June },
year = { 2019 },
issn = { 2249-0868 },
pages = { 5-13 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number21/1054-2019451803/ },
doi = { 10.5120/ijais2019451803 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:07:45.384358+05:30
%A Nuka Dumle Nwiabu
%A Gift Oyekuodi Aselemi
%T Decision Support System for Flood Disaster Mitigation
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 21
%P 5-13
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The catastrophic effects of past flooding such as the 2012 flood that occurred in Nigeria have underlined the importance of making timely mitigation decisions in advance of a catastrophic Events. Decision Support System (DSS) help users settle on compelling decisions in flood disaster mitigation and prevention. Decision Support Systems are computer based systems that are aimed at assisting decision-makers in making productive, agile, innovative and reputable decisions. The work presents a decision support system using Fuzzy logic, the wind speed and temperature data were obtained from Nigerian Meteorological Agency (NIMET) and Climate_Data are classified into very low, low, normal, high, very high, and extremely high to denote the amount of rainfall. The input data were used in DSS model to test the system in order to evaluate the amount rainfall so that predictions can be made. The results were promising indicating the amount of rainfall that can cause severe flooding.

References
  1. Ahmad, S., Simonovic, S.P. 2006. An intelligent decision support system for management of floods. Water Resources Management, 20(3), 391-410.
  2. Bracke, M.B.M., Metz, J.H.M. and Spruijt, B.M. 2001. Development of a Decision Support System to Assess Farm Animal Welfare, Acta Agriculturae Scandinavica: Section A, Animal Science, Vol. 51,
  3. Jin, W. 2000. Development of A Decision Support System for Flood Forecasting and Warning – A Case Study on the Maribyrnong River.
  4. Johnson, M.P. 2001. A Spatial Decision Support System Prototype for Housing Mobility Program Planning. Journal of Geographical Systems, 2001, Vol. 3 Issue 1.
  5. Kalay, P., Chen, D. 2002. Integrating a Decision Support System into a School: The Effects on Student Functioning. Journal of Research on Technology in Education, Vol. 34, No. 4, pp. 435-452.
  6. Vassilakis, K.M., Vorgia, L., and Micheloyannis, S. 2002. Decision Support System for Classification of Epilepsies in Childhood. Journal of Child Neurology, Vol. 17, No. 5, pp. 357-364.
  7. Kaviani, A., Thompson, R. G., Rajabifard, A., Griffin, G., and Chen, Y. 2015. A decision support system for improving the management of traffic networks during disasters. Paper presented at the 37th Australasian Transport Research Forum (ATRF), Sydney, New South Wales, Australia.
  8. Gorry, G.A., Morton, M.S. 2000. A Framework for Management Information Systems, Sloan Management Review, Vol. 13
  9. Barbosa, L.C., Hirko, R.G., 1980. Integration of Algorithmic Aids into Decision Support Systems, MIS Quarterly, March, 1980, pp. 1-8. Bates
  10. McLeod, R. Jr. 1995. Management Information Systems, Sixth Edition. Prentice-Hall, Inc., Englewood Cliffs, New Jersey, USA
  11. Ginzberg, M.J., Stohr, E.A. 1982. Decision Support System: Issues and Perspectives, in Decision Support Systems, published North-Holland Publishing Company
  12. Silver, M.S. 1991. Systems That Support Decision Makers. Wiley, New York, USA.
  13. Sprague, Jr., R.H., and Watson, H.J., 1996. Decision Support for Management. Prentice-Hall, A Simon & Schuster Company, Upper Saddle River, New Jersey, USA.
Index Terms

Computer Science
Information Sciences

Keywords

Decision Support System; Flood Mitigation; Disaster Management; Fuzzy logic