Identification and Prioritization of Flood Conditioning Factors using ISM and MICMAC Technique
Swati Sharma1, Vineet Sharma2
1Swati Sharma, Department of Computer Science and Engineering, KIET Group Of Institutions, Ghaziabad, India.
2Dr.Vineet Sharma, Department, Computer Science and Engineering, KIET Group Of Institutions, Ghaziabad, India.
Manuscript received on 21 September 2019 | Revised Manuscript received on 30 September 2019 | Manuscript Published on 01 October 2019 | PP: 143-148 | Volume-8 Issue-9S4 July 2019 | Retrieval Number: I11210789S419/19©BEIESP | DOI: 10.35940/ijitee.I1121.0789S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Floods can be considered as one of the most devastating natural hazard in developing and developed countries around the world. Apart from physical damage and financial loss, floods results in tremendous loss of human lives. Current risk assessment methods are not efficacious due to lack of analysis of the flood causing factors. There are enormous factors causing flood. The paper aims to apply a structural modeling technique for flood conditioning factors identification and prioritization by establishing a relation among them. The paper presents a framework for various flood conditioning factors. The framework uses Interpretive Structural Modeling (ISM) for modeling. Further matrice d’impacts croises-multiplication appliequé à un classement (MICMAC) [17] method is applied to recognize both direct and indirect relationship between factors and access the most prioritized flood conditioning factor. Their relationship among the factors is established, which would help in effective risk mitigation management.
Keywords: Flood Conditioning Factors, Interpretive Structural Modeling, MICMAC, Reach ability matrix, Structural Self Interaction Matrix component
Scope of the Article: Structural Engineering