Estimation of flood damage intensity based on global damage-depth functions in Jajroud river area

Document Type : Research Paper

Authors

1 Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Soil Conservation and Watershed management institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran

Abstract

Abstract
Introduction: One of the solutions for flood management is flood zoning in different return periods, which can be an essential tool in determining development strategies and reducing flood damage. Calculating flood damage in existing uses provides useful information for various organizations such as insurance to be aware of the amount of damage in different uses in the event of a flood.
Methods: The study area is located in Rudak basin. In this regard, first maps, required hydrological data and DEM of the study area were prepared. Then, according to the flow data, the maximum annual moments in Rudak hydrometric station were fitted with normal log distribution (as the best distribution) and the flow rate was obtained in four return periods. Then, a single hydrograph was obtained by SCS method for different return periods. Then, using the HEC-RAS2D model, the flood zone with the mentioned return period is obtained and finally, based on the global damage-depth functions, the amount of damage in the return period is based on different uses, including residential, commercial, agricultural, roads was calculated.
Findings: By comparing the results of flood zoning and damage maps, which with increasing flood return period, the amount of damage and the area of ​​high-risk zone increases. The amount of flood zone in the return periods of 5, 25, 50 and 100 years is equal to 17.9, 18.9, 19.4, 19.9 hectares, respectively. Most of the damage is related to agricultural lands and then lands with commercial use. The rate of increase in damage to the area between floods 5 and 25 return period is about 47%, between floods 25 and 50 return period is about 6%, and between floods 50 and 100 years is about 15%. Therefore, a 50-year flood can be proposed to determine the flood protection plans of the region.

Keywords

Main Subjects


  1. 1.       Azouagh, A., El Bardai, R., Hilal, I., & Stitou el Messari, J. 2018. Integration of GIS and HEC-RAS in Floods Modeling of Martil River (Northern Morocco). European Scientific Journal, ESJ, 14(12), 130. https://doi.org/10.19044/esj.2018.v14n12p130
  2. 2.       Goorabi, A., Kiarostami, F. 2015. Evaluating the tectonics of watersheds using geomorphological specifications in the form of the TecDEM model (case study: Rodek watershed in northeast Tehran). Natural Geography Researche, 47(3): 465-480 (In Persian)
  3. 3.       Hekmatifar, H., Nazariha, M., Givechi, S. 2009. Evaluation of agricultural damages caused by flood using modeling Hec-Ras and Arc View. Environment Science and Technology, 4(11): 95-108 (In Persian)
  4. 4.       Huizinga, J., de Moel, H., & Szewczyk, W. 2017. Global flood depth-damage functions. Methodology and the database with guidelines. In Joint Research Centre (JRC). https://doi.org/10.2760/16510
  5. 5.       Mihu-pintilie, A., Cîmpianu, C. I., Stoleriu, C. C., Pérez, M. N., & Paveluc, L. E. 2019. Using High-Density LiDAR Data and 2D Streamflow Hydraulic Modeling to Improve Urban Flood Hazard. Water.
  6. 6.       Moharamkhani, P., Omidvar, B., and Nohagar, A. 2020. Estimation of damage to electric substations due to flooding in an urban area. 12th National Congress of Civil Engineering, 1-11 (In Persian)
  7. 7.       Ongdas, N., Akiyanova, F., Karakulov, Y., Muratbayeva, A., & Zinabdin, N. 2020. Application of hec-ras (2d) for flood hazard maps generation for yesil (ishim) river in kazakhstan. Water (Switzerland), 12(10), 1–20. https://doi.org/10.3390/w12102672
  8. 8.       Pathan, A. I., & Agnihotri, P. G. 2021. Application of new HEC-RAS version 5 for 1D hydrodynamic flood modeling with special reference through geospatial techniques: a case of River Purna at Navsari, Gujarat, India. Modeling Earth Systems and Environment, 7(2): 1133–1144. https://doi.org/10.1007/s40808-020-00961-0
  9. 9.       Poorali, M., Salajegheh, A. 2016. Flood risk and damage assessment (case study: Glucan watershed). 4th Conference in Flood Management and Engineering, 1-19 (In Persian)
  10. 10.   Rahman, M. S., Di, L., Yu, E., Lin, L., & Yu, Z. 2021. Remote Sensing Based Rapid Assessment of Flood Crop Damage Using Novel Disaster Vegetation Damage Index (DVDI). International Journal of Disaster Risk Science, 12(1): 90–110. https://doi.org/10.1007/s13753-020-00305-7
  11. 11.   Romali, N. S., & Yusop, Z. 2021. Flood damage and risk assessment for urban area in Malaysia. Hydrology Research, 52(1): 142–159. https://doi.org/10.2166/NH.2020.121
  12. 12.   Shafiei Motlagh, K., Ebadati, N., 2020. Flood zoning and simulating the hydraulic behavior of the river using HEC-RAS software (Case study: Maroon River - Southwest Iran). Ecohydrology, 72(2): 397-409
  13. 13.   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. https://doi.org/10.1016/j.scitotenv.2020.142277