Flood zoning of sub-basins of villages in the western part of Zaribar Lake (Marivan, Kurdistan)

نوع مقاله : مقاله پژوهشی

نویسندگان

Department of Physical Geography, Earth Sciences Faculty, Shahid Beheshti University, Tehran, Iran

چکیده

Floods represent one of the most prevalent and devastating natural disasters, impacting the lives of millions and disrupting natural ecosystems both directly and indirectly. This research focused on assessing the flood risk across the sub-basins of the villages located in the western region of Zaribar Lake, specifically Barda-Rasheh, Yangijeh, Kani-Spikeh, and Pir-Safa. To evaluate the susceptibility of these sub-basins to flooding, the study employed the analytic hierarchy process alongside a multi-criteria decision-making approach, taking into account ten significant factors: elevation, slope, aspect, geology, land use, flow accumulation, distance from drainage network, rainfall, curvature of the topography, and drainage density. The data layers were integrated through the fuzzy sum technique, resulting in the categorization of flood risk into five distinct levels: no risk, low risk, medium risk, high risk, and very high risk. The findings indicated that the eastern regions of the study area are free of flood risk, whereas the western sections of the basin, particularly sub-basins 8, 10, and 14, exhibit the highest levels of flood risk. The predominant portion of the region, accounting for 52.94%, falls within the medium risk classification, while 17% is categorized as high risk, and less than 1% is classified as very high risk. Additionally, 22.48% of the area is deemed risk-free, and 7.50% is identified as low risk. An analysis of the contributing factors revealed that slope, elevation, distance from drainage network, and drainage density significantly influence the region's flooding. These findings are applicable for planning in water resource management and for mitigating flood risks in the study area.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Flood zoning of sub-basins of villages in the western part of Zaribar Lake (Marivan, Kurdistan)

نویسندگان [English]

  • Mohammad Mahdi Hosseinzadeh
  • Somaye Moradi
Department of Physical Geography, Earth Sciences Faculty, Shahid Beheshti University, Tehran, Iran
چکیده [English]

Floods represent one of the most prevalent and devastating natural disasters, impacting the lives of millions and disrupting natural ecosystems both directly and indirectly. This research focused on assessing the flood risk across the sub-basins of the villages located in the western region of Zaribar Lake, specifically Barda-Rasheh, Yangijeh, Kani-Spikeh, and Pir-Safa. To evaluate the susceptibility of these sub-basins to flooding, the study employed the analytic hierarchy process alongside a multi-criteria decision-making approach, taking into account ten significant factors: elevation, slope, aspect, geology, land use, flow accumulation, distance from drainage network, rainfall, curvature of the topography, and drainage density. The data layers were integrated through the fuzzy sum technique, resulting in the categorization of flood risk into five distinct levels: no risk, low risk, medium risk, high risk, and very high risk. The findings indicated that the eastern regions of the study area are free of flood risk, whereas the western sections of the basin, particularly sub-basins 8, 10, and 14, exhibit the highest levels of flood risk. The predominant portion of the region, accounting for 52.94%, falls within the medium risk classification, while 17% is categorized as high risk, and less than 1% is classified as very high risk. Additionally, 22.48% of the area is deemed risk-free, and 7.50% is identified as low risk. An analysis of the contributing factors revealed that slope, elevation, distance from drainage network, and drainage density significantly influence the region's flooding. These findings are applicable for planning in water resource management and for mitigating flood risks in the study area.

کلیدواژه‌ها [English]

  • Flood zoning
  • Natural hazards
  • Analytical Hierarchy Process (AHP)
  • Zaribar Lake
  • Marivan
Ahn, K. and Merwade, V., 2016. Role of watershed geomorphic characteristics on flooding in Indiana, United states. Journal of Hydrologic Engineering, v. 21(2), 05015021.
Asdak, C. and Supian, S., 2018. Watershed management strategies for flood mitigation: A case study of Jakarta’s flooding. Weather and climate extremes, v. 21(September), p. 117-122.
Baker, D. and Refsgaard, K., 2007. Institional development and scale matching in disaster response management. Ecological Economics, v. 63(2-3), p. 331-343.
Collins, A.E., 2013. Linking disaster and development: further challenges and opportunities. Environmental Hazards, v. 12(1), p. 1-4.
Dass, S., 2019. Geospatial mapping of flood susceptibility and hydro-geomorphic response to
the floods in Ulhas basin, India, Remote Sensing Applications, Society and Environment, v. 14,
p. 60-74.
Dewa, O., Makoka, D. and Ayo-Yusuf, O.A., 2023. Measuring community flood resilience and associated factors in rural Malawi. Journal of flood risk management, v. 16(1), e12874.
Gudde, R., He, Y., Pasquier, U., Forstenhäusler, N., Noble, C. and Zha, Q., 2024. Quantifying future changes of flood hazards within the Broadland catchment in the UK. Natural Hazards, p. 1-23.
Hosseinzadeh, M.M., Salehipor Milani, A.R. and Rezaian Zarandini, F., 2023.  The zoning of flood risk potential in the Nekarod Cachment, Neka- Mazandaran. Journal of Spatial Analysis Environmental Hazards 2023; v. 10(1), p. 23-40, URL: http://jsaeh.khu.ac.ir/article-1-3352-fa.html
Junger, L., Hohensinner, S., Schroll, K., Wagner, K., Wagner, K. and Seher, W., 2022. Land use in flood-prone Areas and its Significance for flood risk management-A Case study of Alpine Regions in Austria. LAND, v. 11(3), 392 p.
Kayastha, P., Dhital, M.R. and De Smedt, F., 2013. Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: a case study from the Tinau watershed, West Nepal. Comp. Geosci., v. 52, p. 398-408.
Kazakis, N., Kougias, I. and Patsialis, T., 2015. Assessment of flood hazard areas at a regional
scale using an index-based approach and analytical hierarchy process, application in
Rhodope-Evros region, Greece, Sci, Total Environ, v. 538, p. 555-563.
Kornejady, A., Ownegh, M., Pourghasemi, H.R., Bahremand, A. and Motamedi, M., 2020.
Landslide susceptibility prediction using the coupled Mahalanobis distance and machine
learning models (case study: Owghan watershed, Golestan province, Researches in Earth
Sciences, v. 11(2), p. 1-18. Doi: 10.52547/esrj.11.2.1
Lee, M.J., Kang, J.E. and Jeon, S., 2012. Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, p. 895-898.
Lyu, H.M., Shen, S.L., Zhou, A. and Yang, J., 2019. Perspectives for flood risk assessment and
management for mega-city metro system, Tunnelling and Underground Space Technology, v. 84, p. 31-44.
Mignot, E., Li, X. and Dewals, B., 2019. Experimental modelling of urb) an flooding: a review’,
Journal of Hydrology, v. 568, p. 334-342.
Mishra, K. and Sinha, R., 2020. Flood risk assessment in the Kosi Megafan using multi-criteria
decision analysis: a hydro-geomorphic approach, Geomorphology, v. 350, p. 1-19.
Papaioannou, G., Vasiliades, L. and Loukas, A., 2015. Multi-criteria analysis framework for
potential flood prone areas mapping, Water Resour. Manag, v. 29, p. 399-418. http://dx.doi.
org/10.1007/s11269-014-0817-6
Rimba, A.B., Setiawati, M.D., Sambah, A.B. and Miura, F., 2017. Physical Flood Vulnerability
Mapping Applying Geospatial Techniques in Okazaki City, Aichi Prefecture, Japan, Urban
Sci, v. 1(7), p. 1-22.
Samanta, S., Koloa, C., Pal, D.K. and Palsamanta, B., 2016. Flood Risk Analysis in Lower Part
of Markham River Based on Multi- criteria Decision Approach (MCDA), Hydrology, v. 3(3), p.
29, https://doi.org/10.3390/3030029.
Sloggy, M.R., Suter, J.F., Rad, M.R., Manning, D.T. and Goemans, C., 2021. Changing opinions on a changing climate: the effects of natural disasters on public perceptions of climate change, Erratum: September 2022, v. 174(1-2); p. 17.
Srivastava, S. and Roy, T., 2023. Integrated flood risk assessment of properties and associated population at county scale for Nebraska, USA. Scientific Reports, v. 13(1), 19702.
Tarasova, L., Lun, D., Merz, R., Bloschl, G., Basso, S., Bertola, M. and Kumar, R., 2023. Shifts in flood generation processes exacerbate regional flood anomalies in Europe. Communications Earth & Environment, v. 4(1), 49 p.
Ullah, N., Tariq, A., Qasim, S., Panezai, S., Uddin, M.G., Abdullah-Al-Wadud, M. and Ullah, S., 2024. Geospatial analysis and AHP for flood risk mapping in Quetta, Pakistan: a tool for disaster management and mitigation. Applied Water Science, v. 14(11), 236 p.
Waseem, M., Ahmad, S., Ahmad, I., Wahab, H. and Leta, M.K., 2023. Urban flood risk assessment using AHP and geospatial techniques in swat Pakistan. SN Applied Sciences, p. 5(8), 215 p.
Xiao, Y., Yi, S. and Tang, Z., 2017. Integrated flood hazard assessment based on spatial ordered
weighted averaging method considering spatial heterogeneity of risk preference, Sci. Total
Environ, v. 599, p. 1034-1051.
Yari, A., Ardalan, A. and Ostadtaghizadeh, A., 2019. Underlying factors affecting death due to flood in Iran: a qualitative content analysis’, International Journal of Disaster Risk Reduction, v. 40, p. 1-20.
Zevenbergen, C., Gersonius, B. and Radhakrishan, M., 2020. Flood resilience, Philosophical Transactions of the Royal Society A, v. 378(2168), 20190212.
Ziwei, L., Xiangling, T., Liju, L., Yanqi, C., Xingming, W. and Dishan, Y., 2023. GIS-based risk assessment of flood disaster in the Lijiang River Basin. Scientific reports, v. 13(1), 6160.