Annual Economic Flood Risk Assessment in the Golestan Province

Document Type : Applied Article

Authors

1 Ph.D Candidate of Geomorphology, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran

2 Associate Professor, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran

3 Professor of Geomorphology, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran

10.22059/jhsci.2026.412234.926

Abstract

Objective: Expected Annual Damage (EAD) is a quantitative indicator widely used to assess flood risk and support flood management planning, land-use development, and safety enhancement in at-risk areas. Golestan Province, located in northern Iran, experiences recurrent flood events that result in significant economic losses. The objective of this study is to estimate EAD at the county level across Golestan Province. Method: To achieve this, historical flood data—including recorded economic damages and peak instantaneous discharge—were collected for the period from the 1989–1990 to the 2023–2024 water years. Return periods were estimated and frequency analysis of peak discharges was performed using EasyFit software. EAD values were then calculated by integrating the damage–probability curve for each county. Results: The results indicate that among the counties of Golestan Province, Galikesh County has the highest expected annual flood damage (8,553 million IRR), while Bandar Torkaman County has the lowest (251 million IRR). Conclutions: Further analysis shows that land-use change from forest to agriculture on steep slopes, along with the concentration of urban and rural settlements at sub-basin outlets, are key factors contributing to higher flood damages in Galikesh and Maraveh Tappeh compared to other counties. The findings of this study can support managerial decision-making, prioritization of risk-reduction investments, and the development of effective strategies to mitigate the economic impacts of flooding.

Keywords


  • Aghajan Liyafo, F., Javid, M., Javan Mahjoubdoust, M., Nazarnajad, H., & Niniava, P. (2025). Validation of rainfall estimation methods in Golestan Province. Rainwater Harvesting Systems, 13(1), 1–16. [in Persian]
  • Amanzadeh Seyed, A., & Yazarlu, R. (2014). Studying geotechnical characteristics of silty loam soil in Golestan province. Paper presented at the 2nd National Conference on Soil Mechanics and Foundation Engineering, Qom. https://civilica.com/doc/431295
  • Amirmoradi, K., Shokouhi Langroudi, A., & Azizian, A. (2019). Assessment of risk and uncertainty of financial damages caused by river floods in urban areas (Case study: Kan watershed). Water and Soil Research, 50(9), 2239–2259. [in Persian]
  • Arnell, N. W. (1989). Expected annual damages and uncertainties in flood frequency estimation. Journal of Water Resources Planning and Management, 115(1), 94–107. https://doi.org/10.1061/(ASCE)0733-9496(1989)115:1(94)
  • Budiyono, Y., Aerts, J. C. J. H., Tollenaar, D., & Ward, P. J. (2016). River flood risk in Jakarta under scenarios of future change. Natural Hazards and Earth System Sciences, 16, 757–774. https://doi.org/10.5194/nhess-16-757-2016
  • Chang, L., Lin, C., & Su, M. (2008). Application of geographic weighted regression to establish flood-damage functions reflecting spatial variation. Water SA, 34(2), 209–216.
  • CRED – Center for Research on the Epidemiology of Disaster. (2023). 2022 disaster in numbers. https://cred.be/sites/default/files/2022_EMDAT
  • De Silva, M. M. G. T., & Kawasaki, A. (2018). Socioeconomic vulnerability to disaster risk: A case study of flood and drought impact in a rural Sri Lankan community. Ecological Economics, 152, 131–140.
  • De Silva, M. M. G. T., & Kawasaki, A. (2018). Socioeconomic vulnerability to disaster risk: A case study of flood and drought impact in a rural Sri Lankan community. Ecological Economics, 152, 131–140. [Duplicate removed]
  • Fijko, R., Labant, S., Weiss, E., Zele, M., & Markovi, G. (2019). Flood risk modelling of the Slatvinec stream in Kruzlov village, Slovakia. Journal of Cleaner Production, 212, 109–118. https://doi.org/10.1016/j.jclepro.2018.12.008
  • Golestan Governorate. (2014). Retrieved from https://golestanp.ir/
  • Heidarpour, B., Saghafian, B., Yazdi, J., & Azamathulla, H. M. (2017). Effect of extraordinary large floods on at-site flood frequency. Water Resources Management, 31(13), 4187–4205.
  • Hooshmand, A. M., Hosseini, S. A., & Ghermezcheshmeh, B. (2023). Estimation of flood damage intensity based on global depth–damage functions in the Jajrood River. Journal of Water Resources Engineering, 16(57), 61–74. [in Persian]
  • Jonkman, S. N., Brinkhuis-Jak, M., & Kok, M. (2004). Cost benefit analysis and flood damage mitigation in the Netherlands. Heron, 49(1), 95–111.
  • Kalami, S., & Ahmadi, M. M. (2023). Assessment of expected flood damage (Case study: A reach of Shoor River in the Halil-Rud watershed). Iranian Water Resources Research, 19(1), 125–135. [in Persian]
  • Kalami, S., Ahmadi, M. M., & Hassanzadeh, R. (2024). Effect of discharge return period in applying a natural flood management measure on flood risk reduction. Journal of Water Management and Irrigation, 14(3), 601–613. [in Persian]
  • Lee, E. H., & Kim, J. H. (2018). Development of a flood-damage-based flood forecasting technique. Journal of Hydrology, 563, 181–194.
  • Lee, J. S., & Choi, H. I. (2018). Comparison of flood vulnerability assessments to climate change by construction frameworks for a composite indicator. Sustainability, 10(3), 768. https://doi.org/10.3390/su10030768
  • McGrath, H., Stefanakis, E., & Nastev, M. (2015). Sensitivity analysis of flood damage estimates: A case study in Fredericton, New Brunswick. International Journal of Disaster Risk Reduction, 14, 1–9. https://doi.org/10.1016/j.ijdrr.2015.09.003
  • Mechler, R. (2016). Reviewing estimates of the economic efficiency of disaster risk management: Opportunities and limitations of using risk-based cost–benefit analysis. Natural Hazards, 81(3), 2121–2147.
  • Merz, B., Kreibich, H., Schwarze, R., & Thieken, A. (2010). Assessment of economic flood damage. Natural Hazards and Earth System Sciences, 10, 1697–1724. https://doi.org/10.5194/nhess-10-1697-2010
  • Mirzaei, S., & Saadoddin, A. (2019). A framework for comprehensive assessment of flood economic damages (direct, indirect, tangible and intangible): The flood event of April 18, 2016, Nodeh Khanduz, Gorganroud basin. Journal of Disaster Prevention and Management Knowledge, 9(4), 383–392. [in Persian]
  • Mirzaei, S., Saadoddin, A., Bahramand, A., Ounagh, M., & Mostafizadeh, R. (2025). Direct–tangible costs in floodplains simulated by the HEC-RAS two-dimensional hydraulic model (Arazkooseh River, Golestan Province). Water and Soil Modeling and Management, 5(1), 74–75. [in Persian]
  • Moayeri, M., & Entezari, M. (2008). Floods and review floods in province of Esfahan. Journal of Geographic Perspective, 3(6), 110–124.
  • Moayeri, M., & Entezari, M. (2008). Floods and review floods in province of Esfahan. Journal of Geographic Perspective, 3(6), 110–124.
  • Moayeri, M., & Entezari, M. (2008). Floods and review floods in province of Esfahan. Journal of Geographic Perspective, 3(6), 110–124. [in Persian]
  • Paulik, R., Hosse, L., Pelmard, J., Bosserelle, C., Harang, A., Powell, J., … & Foster, L. (2026). Evaluating New Zealand’s building risk to fluvial and pluvial flooding. Discover Hazards, 2(1), 2.
  • Qiu, J., Cao, B., Park, E., Yang, X., Zhang, W., & Tarolli, P. (2021). Flood monitoring in rural areas of the Pearl River Basin (China) using Sentinel-1 SAR. Remote Sensing, 13, 1384.
  • Rose, A. (2004). Economic principles, issues, and research priorities in natural hazard loss estimation. In Y. Okuyama & S. E. Chang (Eds.), Modeling the spatial economic impacts of natural hazards (13–36). Heidelberg: Springer.
  • Seddighi, H., & Seddighi, S. (2020). How much the Iranian government spent on disasters in the last 100 years? A critical policy analysis. Cost Effectiveness and Resource Allocation, 18(1), 46.
  • Seong, Y., Yu, Y., Kim, G., & Jung, Y. (2025). Estimation and quantitative analysis of expected annual damage (EAD) caused by urban flooding: A case study of Seoul, Korea. Geomatics, Natural Hazards and Risk, 16(1), 2582753.
  • Shrestha, B. B., Rasmy, M., & Shinya, T. (2024). Assessment of flood damage to residential houses and analysis of effectiveness of flood damage reduction measures. Journal of JSCE, 12(2), 23–16158.
  • Tamaskani Zahedi, A., Barani, H., Mokhtari, S., & Bahramand, A. (2021). Flood hazard and damage mapping using the LISFLOOD-FP two-dimensional hydraulic model (Case study: Arazkooseh basin). Water and Soil Conservation Research, 28(4), 1–25. [in Persian]
  • ten Veldhuis, J. (2011). How the choice of flood damage metrics influences urban flood risk assessment. Journal of Flood Risk Management, 4, 281–287. https://doi.org/10.1111/j.1753-318X.2011.01112.x
  • Wu, Z., Lv, H., Meng, Y., Guan, X., & Zang, Y. (2021). The determination of flood damage curve in areas lacking disaster data based on the optimization principle of variation coefficient and beta distribution. Science of The Total Environment, 750, 142277.