Flood hazard potential zonation of Babolrood watershed using fuzzy analytic hierarchy process method (FAHP)

Document Type : (original research)

Authors

Department of Environment, Faculty of Environment, Technical Faculties Campus, University of Tehran

10.22034/aej.2021.284263.2519

Abstract

Flood is one of the most complex and destructive natural events that endangers social, economic and environmental conditions more than any other natural disaster. Due to the existence of suitable conditions in the areas adjacent to the rivers, most economic activities are carried out in these areas and due to the role of habitat destruction in the extinction of plant and animal species, it is necessary to study flooding and Preparation of flood zoning maps of the mentioned areas should be given priority. In this research, to achieve this goal, nine natural and human factors including: altitude, distance from waterway, drainage network density, slope, land use, land shape, vegetation density, geology and rainfall have been used. Each of the factors, by their nature, is fuzzy in the flood zoning potential zoning model and is used. By forming pairwise comparison matrices, the normal and final weight of each factor was obtained. Using ArcGIS software, each fuzzy layer was multiplied by its relative weight, and finally the weighted fuzzy layers were stacked using the Gamma operator, and the final map was obtained. The final flood zonation map of Babolrood watershed showed that in total about 44% of the basin area is in the moderate to very high risk zone. There is also the highest risk of floods in the southwestern parts of the basin, which have high altitudes and heavy rainfall.

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References

  1. Green, C., Diepernk, G., EK, K., Hegger, D., Pettersson, M., Priest, S. and Tapsell, S., 2014. Flood risk management in Europe: the flood problem and interventions. Star flood. 1-250.
  2. Ghayor, H., 1992. Forecasting floods in wet areas. Geographical Researches. 7(2): 87-105. (In Persian)
  3. Ghaffari, G., Solaiani, K. and Mosaedi, A., 2007. Flood Hazard Zoning and Damage Assessment Using HEC-GeoRAS (Case Study: Babolrood River). Journal of the Iranian Natural Researches. 60(2): 439-451. (In Persian)
  4. Leskens, J.G., Brugnach, M., Hoekstra, A.Y. and Schuurmans, W., 2014. Why are decision flood disaster management so poorly supported by information from flood models? Environmental Modeling & Software. 53: 53-61.
  5. Kolawole, O.M., Olayami, A.B. and Ajayi, K.T., 2011. Managing Flood in Nigerian Cities: Risk Analysis and Adaptation Options-Ilorin City as a Case Study. Scholars Research Library. 3(1): 17-24.
  6. Tingsanchali, T., 2012. Urban flood disaster management. Procedia Engineering. 32: 25-37.
  7. Isma'il, M. and Saanyol, I.O., 2013. Application of remote sensing (RS) and geographic information systems (GIS) in flood vulnerability mapping: case study of River Kaduna. International Journal of Geomatics and Geosciences. 3(3): 618-627.
  8. Ronald Clement, A., 2013. An application of Geographic Information Sysem in mapping flood risk zones in a north centeral city in Nigeria. African Journal of Environmental Science and Technology. 6: 365-371.
  9. Qin, Q.M., Tang, H.M. and Chen, H.K., 2011. Zoning of highway flood-triggering environment for highway in Fuling District, Chongqing. In: 2011 International Conference on Photonics, 3Dimaging, and Visualization. International Society for Optics and Photonics. 820530-820538.
  10. Yen, A.W., Ping, A.Z., Yu, Z., Biao, M. and Kun, Y., 2015. Integrated flood risk assessment and zonation method: a case study in Huaihe River basin, China, Natural Hazards. 1: 635-651.
  11. Lawal, D.U., Matori, A.N., Yusuf, K.W., Hashim, A.M. and Balogun, A.L., 2014. Analysis of the flood extent extraction model and natural flood influencing factors: A GIS-based and remote sensing analysis. 8th International symposium of the Digital Earth (ISDE8). Earth and Environment Science 18.
  12. Meyer, V., Scheuer, S. and Haase, D., 2009. A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany. Natural Hazards. 48(1): 17-39.
  13. Qi, S., Brown, D.G., Tian, Q., Jiang, L., Zhao, T. and Bergen, K.M., 2009. Inundation extent and flood frequency mapping using LANDSAT imagery and digital elevation models. GIScience & Remote Sensing. 46(1): 101-127.
  14. Laarhoven, V.P. and Pedrycz, W., 1983. A fuzzy extension of Saaty's priority theory. Fuzzy sets and Systems. 11(1): 199-227.
  15. Lee, A.H., Chen, W.C. and Chang, C.J., 2008. A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert systems with applications. 34(1): 96-107.
  16. Chang, C.T., 2008. Revised multi-choice goal programming. Applied mathematical modelling. 32(12): 2587-2595.
  17. Nasrinnejad, N., Rangzan, K., Kalantari, N. and Saberi, A., 2015. Flood hazard potential zonation of Baghan watershed using fuzzy analytic hierarchy process method (FAHP). RS & GIS for Natural Resources. 5(4): 15-34. (In Persian)
  18. Asghari Moghadam, M.R., 1999. Natural Geography of the City 2 (Hydrology and Flooding of the City). First Edition, Masai Publications, Tehran. (In Persian)
  19. Alizadeh, A., 2011. Principles of applied hydrology. 33rd edition, Ferdowsi University of Mashhad. 990 p. (In Persian)
  20. Mehdizadeh, J., 2013. climate risk analysis in Tabriz city using fuzzy logic and ANP model. master's thesis in geography, Mohaghegh Ardabili University, Ardabil. 152 p. (In Persian)
  21. Dalal ughli, A., Fathi, M. and Khoshdel, K., 2017. Application of new multi-criteria decision making methods for the estimation of flooding potential with emphasis on geomorphic factors (Case Study: Ajorlu Basin). Journal of Geographic Space. 17(59): 67-82. (In Persian)
  22. Parhizgar, A. and Ghaffari, A., 2006. Geographic Information System and Multi-Criteria Decision Analysis. Malchfsky, Y., first edition, Samt Publications. 597 p. (In Persian)
  23. Norouzi, N., Ghorbani, R., Sadoddin, A., Molae, M. and Naimee, A., 2015. Monitoring of Zyarat Stream by macro invertebrate fauna Golestan Province. Journal of Animal Environment. 7(2): 141-148. (In Persian)
  24. Mostafavi, S.M., Rahmani, M., Kaboli, M. and Abdoli, A., 2020. The effect of different environmental factors on habitat selection by Salmo trutta in Karaj River. Journal of Animal Environment. 12(3): 251-258. (In Persian)
Journal of Animal Environment
Volume 14, Issue 1
Spring issue
May 2022
Pages 459-470

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