Flash Floods Hazard Degrees Assessment Applying Multi-Attributes Utility Theory for Gulf of Suez Basins, Egypt | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 3, Volume 50, Issue 3, May 2022, Page 127-145 PDF (1.31 MB) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2022.59895.1030 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Shokry Mohamed Ahmed Abdelaziz 1; Mohamed Ibraheem Gad2; Hassan Safi Hemaid Ahmed  3
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| 1Civil Eng. Dept., Faculty of Eng., El Mataria, Helwan University, Egypt | ||||
| 2Hydrology Dept., Desert Research Center, Cairo, Egypt, | ||||
| 3Civil Engineering Dept.,Faculty of Eng., South Valley University, Qena, Egypt | ||||
| Abstract | ||||
| Good management of flash floods requires accurate estimation for both the hazard degrees and flood risk maps. Morphological parameters greatly affect the strength of flood’s hydrograph and accordingly the flash flood hazard degree. This study uses decision-making tools such as Multi Criteria Analysis (MCA) and/or Multi-Attribute Utility Theory (MAUT) to estimate the Gulf of Suez’s flash flood hazard degree, Sinai Peninsula, Egypt. The MAUT was applied successfully in estimating the hazard degrees of 56 basins in the coastal zone of the Suez Gulf. Based on the resulted correlation between all hydro-morphological parameters, only six equal weight parameters were selected and used to calculate the hazard degree. The results showed that, about 40 % of the 56 basins have high or moderately high hazard degree. Values of the correlation factors between the hydro-morphological parameters and the resulted hazard degrees are ranged between 0.813 for basin’s Sinuosity and 0.011 for Centroid Stream Slope. The weights of those parameters were non-linearly optimized to make the correlation of all chosen parameters with the hazard degree higher than or equal to the threshold value (0.6). Accordingly, percentage of basins with high or moderately high hazard degree have decreased to 32 %. Capability and validation of current model have been achieved using the damage information of some flood events in the last few decades. The comparison between current model’s scenarios and flood events showed that, all the affected basins that had high or moderated high hazard degree are highly coincide with the real cases. | ||||
| Keywords | ||||
| Multi-Attributes Utility Theory; flash floods; morphological parameters; hazard degree; risk map | ||||
| References | ||||
|
[1]
|
Gad, M.I.M., Assessment of surface water runoff in some wadis of west Sidi Barani area, Northwestern coastal zone, Egypt. Egypt. J. P. Sci. Vol. 48, pp. 67-85, 2010.
|
|||
|
[2]
|
Abdo H.G., Evolving a total-evaluation map of flash flood hazard for hydro-prioritization based on geohydromorphometric parameters and GIS–RS manner in Al-Hussain River basin, Tartous, Syria. J. Nat. Hazards. Vol. 104, pp. 681–703, 2020. https://doi.org/10.1007/s11069-020-04186-3 .
|
|||
|
[3]
|
Elmoustafa, A., Mohamed, M., Flash Flood Risk Assessment Using Morphological Parameters in Sinai Peninsula. Open J. Modern Hydrology. Vol. 3, pp. 122-129, 2013.
|
|||
|
[4]
|
Prama M., Omran A., Schröder D., Abouelmagd A., Vulnerability assessment of flash floods in Wadi Dahab Basin, Egypt. Environmental Earth Sciences pp. 79:114, 2020. https://doi.org/10.1007/s12665-020-8860-5
|
|||
|
[5]
|
Chen N., Zhang Y., Wu J., Dong W., Zou Y., Xu X., The Trend in the Risk of Flash Flood Hazards with Regional Development in the Guanshan River
Basin, China. Water 2020, Vol. 12, 1815, 2020. doi:10.3390/w12061815
|
|||
|
[6]
|
Koem C., Tantanee S., Flash flood hazard mapping based on AHP with GIS and satellite information in Kampong Speu Province, Cambodia. Int. J. of Disaster Resilience in the Built Environment, Emerald Publishing Limited ISSN:1759-5908, 2020. DOI 10.1108/IJDRBE-09-2020-0099.
|
|||
|
[7]
|
Gad, M.I., El-Shiekh, A.E., Khalifa, R.A., Ahmed, K.A., Flash Flood Risk Assessment Applying Multi-Criteria Analysis for Some Northwestern Coastal Basins, Egypt. European J. of Business and Social Sciences. Vol. 4(10), 2016.
|
|||
|
[8]
|
Ali, K, Bajracharyar, RM., Raut, N., Advances and Challenges in Flash Flood Risk Assessment: A Review. J. Geogr Nat. Disast. Vol. 7(2), 2017. doi:10.4172/2167- 0587.1000195.
|
|||
|
[9]
|
Vrbova, L., Hajek, J., Monte Carlo Simulation of Utility Function Shapes. The 8th Int. Days of Statistics and Economics, Prague, Czech Republic, 2014.
|
|||
|
[10]
|
Pennings, J.M.E., Garcia, P., Strategic Risk Management Behavior: What Can Utility Functions Tell Us? 2004 Annual meeting, August 1-4, Denver, CO 20388, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association), 2004.
|
|||
|
[11]
|
Miller, G.A., The magic number seven plus or minus two. J. Psychol. Rev. Vol. 63(2), pp. 81–97, 1965. https://doi.org/10.1037/h0043158.
|
|||
|
[12]
|
Saaty, T. L., 1980. The analytic hierarchy processes. McGraw-Hill, New York.
|
|||
|
[13]
|
Chen, S.J., Hwang, C.L., Fuzzy multiple attribute decision-making, methods, and application. Berlin: Springer-Verlag, 1992.
|
|||
|
[14]
|
Hall M.A., Correlation-based feature selection for discrete and nu- meric class machine learning. Proceedings of the 17th Int. Conf. on Machine Learning (ICML '00), pp. 359–366, Morgan Kaufmann, San Francisco, Calif, USA, 2000.
|
|||
|
[15]
|
Odu G.O., Weighting Methods for Multi-Criteria Decision-Making Technique. J. Appl. Sci. Environ. Manage, Vol. 23(8), pp. 1449-1457, 2019. DOI: 10.4314/jasem. v23i8.7
|
|||
|
[16]
|
Eltahan A., Abd-Elhamid A., Abdelaziz S., Multivariate statistical analysis of geomorphological parameters for Sinai Peninsula. AEJ - Alexandria Engineering Journal, 2020, DOI: 10.1016/j.aej.2020.10.059
|
|||
|
[17]
|
El Afandi, G., Morsy, M., El Hussieny, F., Heavy Rainfall Simulation over Sinai Peninsula Using the Weather Research and Forecasting Model. Int. J. Atmospheric Sciences. Vol. 2013, Article ID 241050, 2013.
|
|||
|
[18]
|
Prama M., Omran A., Schröder D., Abouelmagd A., Vulnerability assessment of fash foods in Wadi Dahab Basin, Egypt. J. Environ. Earth Sci. 79, Article114, 2020. https://doi.org/10.1007/s12665-020-8860-5.
|
|||
|
[19]
|
Sherief S.Y., Flash floods and their effects on the development in El-qaá plain area in South Sinai, Egypt, a study in applied geomorphology using gis and remote sensing. Dissertation Universität Mainz, Germany, 2008.
|
|||
|
[20]
|
Elsayad, M., Risk assessment of flash flood in Sinai. A thesis submitted to AASTMT for Master of Science, 2013.
|
|||
|
[21]
|
Abuel-lohom, N., Gad, M.I., Flash Flood Risk Assessment in Sana'a Basin, Yemen. J. Mansoura Eng. (MEJ), Mansoura Univ. Vol. 59(3), C30-C48, 2011.
|
|||
|
[22]
|
Jones, T.H., Geological Survey of the eastern coast Gulf of Suez, South of latitude 29°00'. Standard oil of Egypt. Report No.87, 1946.
|
|||
|
[23]
|
Said, R., The Geology of Egypt. Elsevier Publishing Company. Amsterdam, New York, 377 P, 1962.
|
|||
|
[24]
|
Webster, I., Riston, N., Post- Eocene Stratigraphy of the Suez Rift in South-West Sinai, Egypt. E.G.P.C., 6th Exploration Seminar, Cairo, March. 1, pp. 276-288, 1992.
|
|||
|
[25]
|
Martz, M., Garbrecht, J., DEDNM: A software system for the automated extraction of channel network and watershed data from raster digital elevation models. AWRA Proc. of the Geog. Inf. Sys. and Water Res., pp 211-220, 1993.
|
|||
|
[26]
|
Nelson, E.J., Woodruff, A.M., Dixon, E., Mud Canyon Fire: A hydrologic evaluation of rainfall runoff from a Burned Watershed. Int. J. of Wildland Fire, Vol. 9(1), 2000.
|
|||
|
[27]
|
Lee, H.T., Chen, S.H., Ye Kang, H.Y., A Study of Generalized Reduced Gradient Method with Different Search Directions. J. Measurement Management. Vol. 1(1), pp. 25-38, 2004.
|
|||
|
[28]
|
Keeney, R.L., Raiffa, H., Decisions with Multiple Objectives Preferences and Value Tradeoffs. John Wiley and Sons, Inc., 1976.
|
|||
|
[29]
|
Yurdakul, M., Tansel, İÇ.Y., Application of correlation test to criteria selection for multi criteria decision making (MCDM) models. Int. J. Adv. Manuf. Tech. Vol. 40, pp. 403–41, 2009.
|
|||
|
[30]
|
Laghrabli, S., Benabbou, L., Berrado, A., Estimating Utility Functions through Experimental Designs. Proceedings of the Int. Conf. n Industrial Eng. and Operations Management Rabat, Morocco. April 11-13, 2017.
|
|||
|
[31]
|
Quiggin, J., A Theory of Anticipated Utility. J. Economic Behavior and Organization. Vol. 3, pp. 323–343, 1982.
|
|||
|
[32]
|
Ryan M.J., Vaithianathan, R., Adverse Selection and Insurance Contracting: A Rank-Dependent Utility Analysis. J. Theoretical Economics, De Gruyter. Vol. 3(1), pp. 1-20, 2003.
|
|||
|
[33]
|
Adam, P., The Portfolio Standard Risk Model Based on Rank Dependent Expected Utility Model with Quadratic Utility Function. Global J. Pure and Applied Mathematics. ISSN 0973-1768, Vol. 13(7), pp. 3801-3810. Research India Publications, 2017.
|
|||
|
[34]
|
Wang, J.J., Jing, Y.Y., Zhang, C.F., Zhao, J.H., Review on multi-criteria decision analysis aid in sustainable energy decision-making. J. Renew. Sustain. Energy Rev. Vol. 13, pp. 2263-2278, 2009.
|
|||
|
[35]
|
Cohen, J., Cohen, P., West, S., Aiken, L., Applied Multiple Regression: Correlation Analysis for the Behavioral Sciences. 3rd Edition, Lawrence Erlbaum Associates, Publishers, Mahwah, New Jersey London, ISBN 0805822232, 2003.
|
|||
|
[36]
|
Abdel Fatah, M., Kantoush, S., Sumi, T., Integrated management of flash flood in Wadi system of Egypt: Disaster prevention and water harvesting. Annuals of Disas. Prev. Res. Ins., Kyoto Univ., No 58, 2015.
|
|||
|
[37]
|
Eliwa, H., Murata, M., Ozawa, H.，Kozai, T.，Adachi N., Nishimura, H., Post Aswan High Dam flash floods in Egypt: Causes, consequences, and mitigation strategies. Bulletin of Center for Collaboration in Community Naruto University of Education No.29, 2015.
|
|||
|
[38]
|
Negm, A., Flash Floods in Egypt. Springer International Publishing, eBook ISBN 978-3-030-29635-3, 2020.
|
|||
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