International Journal of Neutrosophic Science

Journal DOI

https://doi.org/10.54216/IJNS

Submit Your Paper

2690-6805ISSN (Online) 2692-6148ISSN (Print)

Volume 21 , Issue 3 , PP: 17-33, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

An Extended Neutrosophic Stepwise Weight Assessment Ratio Analysis Technique Based on GIS for Analysing Flash Floods

Nabil M. AbdelAziz 1 * , Hassan H. Mohammed 2 , Khalid A. Eldrandaly 3

  • 1 Department of Information Systems, Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt - (nmabedelaziz@fci.zu.edu.eg)
  • 2 Department of Information Systems, Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt - (helfeky439@gmail.com)
  • 3 Department of Information Systems, Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt - (Khalid_Eldrandaly@zu.edu.eg)
  • Doi: https://doi.org/10.54216/IJNS.210302

    Received: January 25, 2023 Revised: April 14, 2023 Accepted: June 12, 2023
    Abstract

    Flash floods are a sudden natural hazard caused by successive heavy rains in a short period of time. The world suffers from heavy and frequent rains due to climate change. So, the risk assessment of flash floods is considered increasingly important and urgent. Egypt is considered one of the countries exposed to sudden floods resulting from heavy rains, especially in Upper Egypt. Multi-criteria techniques are widely used to study and analyze the causes and effects of natural hazards. In contrast to the traditional multi-criteria techniques used in the process of estimating flood problems, we applied neutrosophic logic in this study that has a great ability for simulating and reflecting uncertain human’s thoughts in real world problems. Our study area sits in Southeast Sohag, and it is one of the most flash floods prone regions of Egypt's Eastern Desert. This area of Sohag has suffered from frequent flash floods, with some flood events resulting in human casualties in the last decades. This study focuses on using a neutrosophic stepwise weight assessment ration analysis (N-SWARA) technique with remotely sensed data and geographical information system (GIS) for producing a flash floods hazard map. The N-SWARA technique is applied to determine the weights of various factors that related to flash flooding, including elevation, slope, topographic wetness index, distance from the stream, flow accumulation, aspect, and flow direction. The obtained weight of selected criteria used then to produce the flood hazard map (FHM) using a raster calculator tool in geographic information system. The weight of each factor calculated by using the N-SWARA multi criteria analysis method and obtained the following results: 0.39 for slope, 0.21 for elevation, 0.12 for distance, 0.08 for flow direction, 0.05 for flow accumulation, 0.09 for TWI and 0.03 for aspect.

    Keywords :

    Neutrosophic Set , Multi-Criteria Decision-Making Technique (MCDM) , Stepwise Weight Assessment Ratio Analysis (SWARA) , Geographic Information System (GIS) , Flood Hazard Map.

    References

    [1] Chen, H., Ito, Y., Sawamukai, M., & Tokunaga, T. (2015). Flood hazard assessment in the Kujukuri Plain of Chiba Prefecture, Japan, based on GIS and multicriteria decision analysis. Natural Hazards, 78, 105-120. [2] Fernández, D. S., & Lutz, M. A. (2010). Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis. Engineering Geology, 111(1-4), 90-98. [3] Kourgialas, N. N., & Karatzas, G. P. (2017). A national scale flood hazard mapping methodology: The case of Greece–Protection and adaptation policy approaches. Science of the Total Environment, 601, 441-452. [4] Sanyal, J., & Lu, X. X. (2006). GIS‐based flood hazard mapping at different administrative scales: A case study in Gangetic West Bengal, India. Singapore Journal of Tropical Geography, 27(2), 207-220.

    [5] Wang, G., Liu, Y., Hu, Z., Zhang, G., Liu, J., Lyu, Y., ... & Liu, L. (2021). Flood Risk Assessment of Subway Systems in Metropolitan Areas under Land Subsidence Scenario: A Case Study of Beijing. Remote Sensing, 13(4), 637.

    [6] Akay, H., & Koçyiğit, M. B. (2020). Flash flood potential prioritization of sub-basins in an ungauged basin in Turkey using traditional multi-criteria decision-making methods. Soft Computing, 1-13.

    [7] Ajjur, S. B., & Mogheir, Y. K. (2020). Flood hazard mapping using a multi-criteria decision analysis and GIS (case study Gaza Governorate, Palestine). Arabian Journal of Geosciences, 13(2), 1-11.

    [8] El-Magd, S. A. A., Amer, R. A., & Embaby, A. (2020). Multi-criteria decision-making for the analysis of flash floods: A case study of Awlad Toq-Sherq, Southeast Sohag, Egypt. Journal of African Earth Sciences, 162, 103709.

    [9] El-Magd, S. A. A. (2019). Flash Flood Hazard Mapping Using GIS and Bivariate Statistical Method at Wadi Bada’a, Gulf of Suez, Egypt. Journal of Geoscience and Environment Protection, 7(8), 372-385.

    [10] Hashemkhani Zolfani, S., & Bahrami, M. (2014). Investment prioritizing in high tech industries based on SWARA-COPRAS approach. Technological and Economic Development of Economy, 20(3), 534-553.

    [11] Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of business economics and management, 11(2), 243-258.

    [12] Kouchaksaraei, R. H., Zolfani, S. H., & Golabchi, M. (2015). Glasshouse locating based on SWARA-COPRAS approach. International Journal of Strategic Property Management, 19(2), 111-122.

    [13] Zolfani, S. H., & Saparauskas, J. (2013). New application of SWARA method in prioritizing sustainability assessment indicators of energy system. Engineering Economics, 24(5), 408-414.

    [14] Zolfani, S. H., Yazdani, M., & Zavadskas, E. K. (2018). An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Computing, 22(22), 7399-7405.

    [15] Moneim, A. A. A. (1992). Numerical simulation and groundwater management of the Sohag aquifer, the Nile Valley, Egypt (Doctoral dissertation, University of Strathclyde).

    [16] Malczewski, J. (1996). A GIS-based approach to multiple criteria group decision-making. International Journal of Geographical Information Systems, 10(8), 955-971.

    [17] Skilodimou, H. D., Bathrellos, G. D., Chousianitis, K., Youssef, A. M., & Pradhan, B. (2019). Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study. Environmental earth sciences, 78(2), 47.

    [18] Rincón, D., Khan, U. T., & Armenakis, C. (2018). Flood risk mapping using GIS and multi-criteria analysis: A greater Toronto area case study. Geosciences, 8(8), 275.

    [19] Youssef, A. M., & Hegab, M. A. (2019). Flood-hazard assessment modeling using multicriteria analysis and GIS: a case study—Ras Gharib area, Egypt. In Spatial modeling in GIS and R for earth and environmental sciences (pp. 229-257). Elsevier.

    [20] Ganová, L. (2011). Integrating multicriteria analysis with geographical information system for evaluation flood vulnerable areas. International Multidisciplinary Scientific GeoConference: SGEM, 2, 433.

    [21] Rahmati, O., Zeinivand, H., & Besharat, M. (2016). Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomatics, Natural Hazards and Risk, 7(3), 1000-1017.

    [22] Bui, D. T., Pradhan, B., Nampak, H., Bui, Q. T., Tran, Q. A., & Nguyen, Q. P. (2016). Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS. Journal of Hydrology, 540, 317-330.

    [23] Bathrellos, G. D., Skilodimou, H. D., Soukis, K., & Koskeridou, E. (2018). Temporal and spatial analysis of flood occurrences in the drainage basin of pinios river (thessaly, central greece). Land, 7(3), 106.

    [24] Tang, Z., Zhang, H., Yi, S., & Xiao, Y. (2018). Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis. Journal of Hydrology, 558, 144-158.

    [25] Frazier, B. E., Rodgers, T. M., Briggs, C. A., & Rupp, R. A. (2009). Remote area soil proxy modeling technique. Soil Horizons, 50(2), 62-67.

    [26] Chuvieco, E., & Congalton, R. G. (1989). Application of remote sensing and geographic information systems to forest fire hazard mapping. Remote sensing of Environment, 29(2), 147-159. [27] Shimaa Said,Mahmoud M. Ibrahim,Mahmoud M. Ismail, An Integrated Multi-Criteria Decision-Making Approach for Identification and Ranking Solar Drying Barriers under Single-Valued Triangular Neutrosophic Sets (SVTNSs), Neutrosophic and Information Fusion, Vol. 2 , No. 1 , (2023) : 35-49 (Doi : https://doi.org/10.54216/NIF.020103)

    [28] Abedallah Z. Abualkishik,Rasha Almajed, Triangular Neutrosophic Multi-Criteria Decision Making AHP Method for Solar Power Site Selection, International Journal of Advances in Applied Computational Intelligence, Vol. 2 , No. 2 , (2022) : 08-15 (Doi : https://doi.org/10.54216/IJAACI.020201).

    [29] Ginevičius, R. (2011). A new determining method for the criteria weights in multicriteria evaluation. International Journal of Information Technology & Decision Making, 10(06), 1067-1095.

    [30] Shannon, C. E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3), 379-423.

    [31] Bitarafan, M., Zolfani, S. H., Arefi, S. L., Zavadskas, E. K., & Mahmoudzadeh, A. (2014). Evaluation of real-time intelligent sensors for structural health monitoring of bridges based on SWARA-WASPAS; a case in Iran. The Baltic Journal of Road and Bridge Engineering, 9(4), 333-340.

    [32] Shereen Zaki,Mahmoud M. Ibrahim,Mahmoud M. Ismail, Interval Valued Neutrosophic VIKOR Method for Assessment Green Suppliers in Supply Chain, International Journal of Advances in Applied Computational Intelligence, Vol. 2 , No. 1 , (2022) : 15-22 (Doi : https://doi.org/10.54216/IJAACI.020102)

    [33] Nada A. Nabeeh,Alshaimaa A. Tantawy, A Neutrosophic Model for Blockchain Platform Selection based on SWARA and WSM, Neutrosophic and Information Fusion, Vol. 1 , No. 2 , (2023) : 29-43 (Doi : https://doi.org/10.54216/NIF.010204).

    [34] Supciller, A. A., & Toprak, F. (2020). Selection of wind turbines with multi-criteria decision-making techniques involving neutrosophic numbers: A case from Turkey. Energy, 207, 118237.

     

    Cite This Article As :
    M., Nabil. , H., Hassan. , A., Khalid. An Extended Neutrosophic Stepwise Weight Assessment Ratio Analysis Technique Based on GIS for Analysing Flash Floods. International Journal of Neutrosophic Science, vol. , no. , 2023, pp. 17-33. DOI: https://doi.org/10.54216/IJNS.210302
    M., N. H., H. A., K. (2023). An Extended Neutrosophic Stepwise Weight Assessment Ratio Analysis Technique Based on GIS for Analysing Flash Floods. International Journal of Neutrosophic Science, (), 17-33. DOI: https://doi.org/10.54216/IJNS.210302
    M., Nabil. H., Hassan. A., Khalid. An Extended Neutrosophic Stepwise Weight Assessment Ratio Analysis Technique Based on GIS for Analysing Flash Floods. International Journal of Neutrosophic Science , no. (2023): 17-33. DOI: https://doi.org/10.54216/IJNS.210302
    M., N. , H., H. , A., K. (2023) . An Extended Neutrosophic Stepwise Weight Assessment Ratio Analysis Technique Based on GIS for Analysing Flash Floods. International Journal of Neutrosophic Science , () , 17-33 . DOI: https://doi.org/10.54216/IJNS.210302
    M. N. , H. H. , A. K. [2023]. An Extended Neutrosophic Stepwise Weight Assessment Ratio Analysis Technique Based on GIS for Analysing Flash Floods. International Journal of Neutrosophic Science. (): 17-33. DOI: https://doi.org/10.54216/IJNS.210302
    M., N. H., H. A., K. "An Extended Neutrosophic Stepwise Weight Assessment Ratio Analysis Technique Based on GIS for Analysing Flash Floods," International Journal of Neutrosophic Science, vol. , no. , pp. 17-33, 2023. DOI: https://doi.org/10.54216/IJNS.210302