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 JWARP  Vol.10 No.6 , June 2018
Multi-Criteria Decision Making Approach for Flood Risk and Sediment Management in Koshi Alluvial Fan, Nepal
Abstract: This paper presents the results of multi-criteria decision-making (MCDM) approach for flood risk and sediment management in dynamic alluvial fan. The study is based on real problems of Koshi River, Nepal. Criteria weighting for each measure were estimated using Entropy, AHP and AHP-Entropy techniques. Preference ranking of alternatives was prioritized using MCDM methods—ELECTRE, TOPSIS and SAW. Five alternate measures for flood risk management and eight alternate measures for sediment control with seven evaluation criteria comprising economic, social, environmental and political aspects were taken into account. The Spearman’s rank correlation coefficient between the criteria weighting techniques AHP and AHP-Entropy, Entropy and AHP-Entropy and AHP with Entropy were 0.964, 0.429 and 0.321 respectively. Preference ranks were determined using nine combinations of criteria weighting techniques and preference ranking methods. In the case of flood risk management, using of old Koshi channel was recommended as the highest prioritized solution. Similarly, for sediment control, reduction of upstream sediment supply was recommended as the top prioritized measures. The Euclidean distance test for each pairs of criteria weighting and prioritization methods showed all three MCDM methods of preference ranking were sensitive to weighting. On implementation of the recommended measures, local people of Sunsari, Saptari and Morang districts of Nepal will be highly benefited.
Cite this paper: Kafle, M. and Shakya, N. (2018) Multi-Criteria Decision Making Approach for Flood Risk and Sediment Management in Koshi Alluvial Fan, Nepal. Journal of Water Resource and Protection, 10, 596-619. doi: 10.4236/jwarp.2018.106034.
References

[1]   Hill, C.V. (1997) Environment and Social Control in Riparian North India 1770-1994: Asian Studies. Monograph and Occasional Paper Series, Number 55, 200 p.

[2]   Meena, R.S. (2012) Simulation of Runoff and Flood Inundation in Kosi River Basin Using Hydrological Models, ANN, Remote Sensing and GIS. National Institute of Technology, Rourkela.

[3]   Evert, H. (2011) Flooding and Sediment Management on the Koshi Alluvial Fan, Nepal. M.Sc. Thesis, Delft University of Technology, Delft.

[4]   Voogd, H. (1983) Multicriteria Evaluation for Urban and Regional Planning. Pion Ltd., London, 367 p.

[5]   Hwang, C.L. and Yoon, K. (1981) Multiple Attribute Decision Making: Methods and Applications. Springer-Verlag, New York.
https://doi.org/10.1007/978-3-642-48318-9

[6]   Choo, E.U., Schoner, B. and Wedley, W.C. (1999) Interpretation of Criteria Weights in Multi Criteria Decision-Making. Computers & Industrial Engineering, 37, 527-541.
https://doi.org/10.1016/S0360-8352(00)00019-X

[7]   Yan, H., Bin Huynh, V.N. and Nakamori, Y. (2011) A Probabilistic Model for Linguistic Multi-Expert Decision Making Involving Semantic Overlapping. Expert Systems with Applications, 38, 8901-8912.
https://doi.org/10.1016/j.eswa.2011.01.105

[8]   Pohekar, S.D. and Ramachandran, M. (2004) Application of Multi-Criteria Decision Making to Sustainable Energy Planning: A Review. Renewable & Sustainable Energy Reviews, 8, 365-381.
https://doi.org/10.1016/j.rser.2003.12.007

[9]   Affeletranger, B. (2001) Public Participation in the Design of Local Strategies for Flood Mitigation and Control. International Hydrological Programme, Technical Documents in Hydrology No. 48, UN-ESCO, Paris.

[10]   Tkach, R.J. and Simonovic, S.P. (1997) A New Approach to Multi-Criteria Decision Making in Water Resources. Journal of Geographic Information and Decision Analysis, 1, 25-43.

[11]   Ghanbarpour, M.R., Salimi, S. and Hipel, K.W. (2013) A Comparative Evaluation of Flood Mitigation Alternatives Using GIS-Based River Hydraulics Modelling and Multi Criteria Decision Analysis. Journal of Flood Risk Management, 6, 319-331.
https://doi.org/10.1111/jfr3.12017

[12]   Malekian, A. and Azarnivand, A. (2015) Application of Integrated Shannon’s Entropy and VIKOR Techniques in Prioritization of Flood Risk in the Shemshak Watershed, Iran. Water Resources Management, 30, 409-425.
https://doi.org/10.1007/s11269-015-1169-6

[13]   Guo, et al. (2014) Integrated Risk Assessment of Flood Disaster Based on Improved Set Pair Analysis and the Variable Fuzzy Set Theory in Central Liaoning Province, China. Natural Hazards, 74, 947-965.
https://doi.org/10.1007/s11069-014-1238-9

[14]   Roy, D.C. and Blaschke, T. (2015) Spatial Vulnerability Assessment of Floods in the Coastal Regions of Bangladesh. Geomatics, Natural Hazards and Risk, 6, 21-44.
https://doi.org/10.1080/19475705.2013.816785

[15]   Yang, X.L., Ding, J.H. and Hou, H. (2013) Application of a Triangular Fuzzy AHP Approach for Flood Risk Evaluation and Response Measures Analysis. Natural Hazards, 68, 657-674.
https://doi.org/10.1007/s11069-013-0642-x

[16]   Mendoza, G.A. and Martins, H. (2006) Multi-Criteria Decision Analysis in Natural Resource Management: A Critical Review of Methods and New Modelling Paradigms. Forest Ecology and Management, 230, 1-22.
https://doi.org/10.1016/j.foreco.2006.03.023

[17]   Margeta, J. and Knezic, S. (2002) Selection of the Flood Management Solution of Karstic Field. Water International, 27, 431-441.
https://doi.org/10.1080/02508060208687022

[18]   Lee, K.S. and Chung, E.S. (2007) Development of Integrated Watershed Management Schemes for an Intensively Urbanized Region in Korea. Journal of Hydro-Environment Research, 1, 95-109.
https://doi.org/10.1016/j.jher.2007.07.004

[19]   Zhou, Z., Wang, X., Sun, R., Ao, X., Sun, X. and Song, M. (2014) Study of the Comprehensive Risk Analysis of Dam-Break Flooding Based on the Numerical Simulation of Flood Routing. Part II: Model Application and Results. Natural Hazards, 73, 675-700.
https://doi.org/10.1007/s11069-013-1029-8

[20]   Gohain, K. and Parkash, B. (1990) Morphology of the Kosimegafan. University of Roorkee, Roorkee.

[21]   Roy, B. (1968) Classementetchoix en présence de points de vue multiples. Recherche Opérationnelle, 2, 57-75.

[22]   Velasquez, M. and Hester, P. (2013) An Analysis of Multi-Criteria Decision Making Methods. International Journal of Operations Research, 10, 56-66.

[23]   Churchman, C.W. and Ackoff, R.L. (1954) An Approximate Measure of Value. Operations Research Society of America, 2, 172-187.
https://doi.org/10.1287/opre.2.2.172

[24]   Takeuchi, et al. (1998) Sustainable Reservoir Development and Management. IAHS Publication No. 251.

 
 
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