Skip to main content

Advertisement

Log in

Fuzzy flash flood risk and vulnerability assessment for the city of Sanandaj, Kurdistan Province, Iran

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

Flash floods are the most hazardous types of floods, specifically in urban areas, since they impose huge financial damages and tremendous life loss. A flood risk map is required to identify the most vulnerable areas of a city for better management of this phenomenon. This research aims at achieving the risk and vulnerability maps of the city of Sanandaj, Kurdistan Province, Iran, using the geographical information system and fuzzy analytic hierarchy process through the assessment of several conditioning factors. The parameters slope, elevation, profile curvature, drainage density, land use, and distance from waterways were applied to prepare a hazard of flood map of Sanandaj city. Also, effective information layers, including slope, elevation, permeability index, distance from hospitals, distance from fire stations, distance from trails, distance from refueling centers, distance from roads, and distance from historical monuments, were considered for designing a flood vulnerability map. By multiplying the hazard of flood occurrence map and the flood vulnerability map, the flood risk map is obtained. The designed flash flood risk map demonstrated that about 30% of the city’s areas were classified as the most prone to flash floods. The results indicate that the flash flood is a serious concern in the city of Sanandaj, which should be considered by the city’s officials and authorities. The designed flood risk map can be used as an appropriate management tool for reducing or avoiding flood risks.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  • Alavi MS, Fallahi A, Mottaki Z, Aslani F (2021) Post-disaster sheltering process after the 2019 floods, in Golestan province, Iran. Int J Disaster Resil Built Environ. https://doi.org/10.1108/IJDRBE-03-2021-0023

    Article  Google Scholar 

  • Azadtalab M, Shahabi H, Shirzadi A, Chapi K (2020) Flood hazard mapping in Sanandaj using combined models of statistical index and evidential belief function. Motaleate Shahri 9(36):27–40

    Google Scholar 

  • Azari H, Matkan AA, Shakiba A, Pourali SH (2007) Simulation and flood warning using integration of hydrological models, GIS, and rainfall estimation by remote sensing. Iran J Geol 3(9):39–51

    Google Scholar 

  • Bahrami J, Gavili A, Chapi K, Rahmati O (2021) Evaluation of flood susceptibility in Telvar river basin using evidence weight models and Bayesian logistic regression. Watershed Manag Res. https://doi.org/10.22092/wmrj.2021.354344.1405

    Article  Google Scholar 

  • Bathrellos GD, Karymbalis E, Skilodimou HD, Gaki-Papanastassiou K, Baltas EA (2016) Urban flood hazard assessment in the basin of Athens Metropolitan city, Greece. Environ Earth Sci 75(4):319

    Article  Google Scholar 

  • Bodoque JM, Amérigo M, Díez-Herrero A, García JA, Cortés B, Ballesteros-Cánovas JA, Olcina J (2016) Improvement of resilience of urban areas by integrating social perception in flash-flood risk management. J Hydrol 541:665–676

    Article  Google Scholar 

  • Chapi K, Singh VP, Shirzadi A, Shahabi H, Bui DT, Pham BT, Khosravi K (2017) A novel hybrid artificial intelligence approach for flood susceptibility assessment. Environ Model Softw 95:229–245

    Article  Google Scholar 

  • Dandapat K, Panda GK (2017) Flood vulnerability analysis and risk assessment using analytical hierarchy process. Model Earth Syst Environ 3(4):1627–1646

    Article  Google Scholar 

  • Danumah JH, Odai SN, Saley BM, Szarzynski J, Thiel M, Kwaku A, Kouame FK, Akpa LY (2016) Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques,(cote d’ivoire). Geoenviron Disasters 3(1):1–13

    Article  Google Scholar 

  • Ding H, Liao Y, Lin B (2017) High risk flash flood rainstorm mapping based on regional L-moments approach. In: EGU general assembly conference abstracts. p 19410

  • Duttagupta S, Mukherjee A, Das K, Dutta A, Bhattacharya A, Bhattacharya J (2020) Groundwater vulnerability to pesticide pollution assessment in the alluvial aquifer of Western Bengal basin, India using overlay and index method. Geochemistry 80(4):125601

    Article  Google Scholar 

  • Ekmekcioğlu Ö, Koc K, Özger M (2021) District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process. Stoch Environ Res Risk Assess 35(3):617–637

    Article  Google Scholar 

  • Falguni M, Singh D (2020) Detecting flood prone areas in Harris County: a GIS based analysis. GeoJournal 85(3):647–663

    Article  Google Scholar 

  • Farajzadeh M, Elahi S (2020) Climatic analysis in western Iran (Case study: Sanandaj synoptic station). Clim Change Res 1(3):52–64

    Google Scholar 

  • Fusami AA, Aleem KF (2016) Flood vulnerability mapping using geospatial technique for controlling flood along River Yobe Basin in Nigeria. Int J Geomat Geosci 6(4):1748–1750

    Google Scholar 

  • Garambois PA, Roux H, Larnier K, Castaings W, Dartus D (2013) Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments. Hydrol Earth Syst Sci 17(6):2305–2322

    Article  Google Scholar 

  • Gaume E, Livet M, Desbordes M, Villeneuve JP (2004) Hydrological analysis of the river Aude, France, flash flood on 12 and 13 November 1999. J Hydrol 286(1–4):135–154

    Article  Google Scholar 

  • Gigović L, Pamučar D, Bajić Z, Drobnjak S (2017) Application of GIS-interval rough AHP methodology for flood hazard mapping in urban areas. Water 9(6):360

    Article  Google Scholar 

  • Heidari M, Sayfouri N, Miresmaeeli SS, Nasiri A (2020) Analysis of the man-made causes of Shiraz flash flood: Iran, 2019. Prehosp Disaster Med 35(5):588–591

    Article  Google Scholar 

  • Huang J, Fu X, Ke ZB (2007) Application of analytic hierarchy process (AHP) in choosing engineering scheme of urban flood control. J Water Res Archit Eng 5(1):52–55

    Google Scholar 

  • Hussain M, Tayyab M, Zhang J, Shah AA, Ullah K, Mehmood U, Al-Shaibah B (2021) GIS-based multi-criteria approach for flood vulnerability assessment and mapping in district Shangla: Khyber Pakhtunkhwa, Pakistan. Sustainability 13(6):3126

    Article  Google Scholar 

  • Ic O, Po I, Du A, Ia N (2017) Flood vulnerability mapping of Lokoja metropolis using geographical information system techniques. J Geosci 5(5):229–242

    Google Scholar 

  • Kazuva E, Zhang J, Tong Z, Si A, Na L (2018) The DPSIR model for environmental risk assessment of municipal solid waste in Dar es Salaam city, Tanzania. Int J Environ Res Public Health 15(8):1692

    Article  Google Scholar 

  • Khan AN (2011) Analysis of flood causes and associated socio-economic damages in the Hindukush region. Nat Hazards 59(3):1239

    Article  Google Scholar 

  • Khosravi K, Pourghasemi HR, Chapi K, Bahri M (2016) Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon’s entropy, statistical index, and weighting factor models. Environ Monit Assess 188(12):1–21

    Article  Google Scholar 

  • Khosravi K, Melesse AM, Shahabi H, Shirzadi A, Chapi K, Hong H (2019) Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques. Extreme hydrology and climate variability. Elsevier, Amsterdam, pp 419–434

    Chapter  Google Scholar 

  • Koks EE, Jongman B, Husby TG, Botzen WJ (2015) Combining hazard, exposure and social vulnerability to provide lessons for flood risk management. Environ Sci Policy 47:42–52

    Article  Google Scholar 

  • Lee JH, Jun HD, Park MJ, Jung JH (2011) Flash flood risk assessment using PROMETHEE and Entropy method. J Korean Soc Hazard Mitig 11(3):151–156

    Article  Google Scholar 

  • Lee S, Lee S, Lee MJ, Jung HS (2018) Spatial assessment of urban flood susceptibility using data mining and geographic information system (GIS) tools. Sustainability 10(3):648

    Article  Google Scholar 

  • Messner F, Meyer V (2006) Flood damage, vulnerability and risk perception–challenges for flood damage research. Flood risk management: hazards, vulnerability and mitigation measures. Springer, New York, pp 149–167

    Chapter  Google Scholar 

  • Ogden FL, Sharif HO, Senarath SUS, Smith JA, Baeck ML, Richardson JR (2000) Hydrologic analysis of the Fort Collins, Colorado, flash flood of 1997. J Hydrol 228(1–2):82–100

    Article  Google Scholar 

  • Ouma YO, Tateishi R (2014) Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment. Water 6(6):1515–1545

    Article  Google Scholar 

  • Papaioannou G, Loukas A, Vasiliades L, Aronica GT (2017) Sensitivity analysis of a probabilistic flood inundation mapping framework for ungauged catchments. Eur Water 60:9–16

    Google Scholar 

  • Rahmati O, Zeinivand H, Besharat M (2016) Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomat Nat Haz Risk 7(3):1000–1017

    Article  Google Scholar 

  • Romanescu G, Hapciuc OE, Minea I, Iosub M (2018) Flood vulnerability assessment in the mountain–plateau transition zone: a case study of Marginea village (Romania). J Flood Risk Manag 11:S502–S513

    Article  Google Scholar 

  • Rosso R, Rulli MC (2002) An integrated simulation method for flash-flood risk assessment: 2. Effects of changes in land-use under a historical perspective. Hydrol Earth Syst Sci 6(2):285–294

    Article  Google Scholar 

  • Saaty TL (1980) The Analytic Hierarchy Process: Planning, Priority setting, Resource allocation. 19. Mc Graw-Hill, New York

    Google Scholar 

  • Sebald C (2010) Towards an integrated flood vulnerability index: a flood vulnerability assessment. Unpublished Master of Science (MSc) Thesis, University of Southampton, UK

  • Sema HV, Guru B, Veerappan R (2017) Fuzzy gamma operator model for preparing landslide susceptibility zonation mapping in parts of Kohima Town, Nagaland, India. Model Earth Syst Environ 3(2):499–514

    Article  Google Scholar 

  • Seyghal Y, Naime IB, Irani AA (2019) Criminal policy based on hazards science a case study of the floods of 2019 in Khuzestan and Shiraz. Environ Hazards Manag 6(3):1–2

    Google Scholar 

  • Shafizadeh-Moghadam H, Valavi R, Shahabi H, Chapi K, Shirzadi A (2018) Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping. J Environ Manag 217:1–11

    Article  Google Scholar 

  • Shehata M, Mizunaga H (2018) Flash flood risk assessment for Kyushu Island, Japan. Environ Earth Sci 77(3):1–20

    Article  Google Scholar 

  • Wisner B, Blaikie P, Cannon T, Davis I (2004) At risk: natural hazards, people’s vulnerability and disasters. Psychol Press. https://doi.org/10.4324/9780203714775

    Article  Google Scholar 

  • Zeleňáková M, Blistan P, Purcz P (2015) Assessment of flood vulnerability in the Bodva catchment using multi-criteria analysis and geographical information systems. River Basin Manag 8:51–59

    Google Scholar 

Download references

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by SA, HA, KC, RSA, and BE. The first draft of the manuscript was written by KC, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Salman Ahmadi.

Ethics declarations

Conflict of interests

The authors have no relevant financial or nonfinancial interests to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahmadi, S., Amjadi, H., Chapi, K. et al. Fuzzy flash flood risk and vulnerability assessment for the city of Sanandaj, Kurdistan Province, Iran. Nat Hazards 115, 237–259 (2023). https://doi.org/10.1007/s11069-022-05552-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-022-05552-z

Keywords

Navigation