Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2739-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-2739-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Oct 2020
Research article |
| 17 Oct 2020
| 17 Oct 2020
Annual flood damage influenced by El Niño in the Kan River basin, Iran
Farhad Hooshyaripor
Department of Civil Engineering, Architecture and Art, Science and
Research Branch, Islamic Azad University, Tehran, 1477893855, Iran
Sanaz Faraji-Ashkavar
Department of Civil Engineering, Al Taha University, Tehran,
1488836164, Iran
Farshad Koohyian
Department of Civil Engineering, Architecture and Art, Science and
Research Branch, Islamic Azad University, Tehran, 1477893855, Iran
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Roohollah Noori
Institute of Advanced Technology, Arak University, P.O. Box 38156-8-8349, Arak, Iran
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Cited
14 citations as recorded by crossref.
- An estimation and multi-step ahead prediction study of monthly snow cover area, based on efficient atmospheric-oceanic dynamics H. Bahrami-Pichaghchi & P. Aghelpour 10.1007/s00382-022-06341-x
- The cascading failure of check dam systems during the 28 July 2022 Emamzadeh Davood flood in Iran M. Motagh & H. Akhani 10.1007/s11069-023-05814-4
- Flood prioritization based on fuzzy best worse multi-criteria decision-making method S. Meshram et al. 10.1007/s12517-022-10570-z
- Flood susceptibility mapping using support vector regression and hyper‐parameter optimization A. Salvati et al. 10.1111/jfr3.12920
- Probabilistic El Niño effect on flood damages assessment F. Hooshyaripor 10.1002/joc.7494
- Effects of Within-Storm Variability on Allochthonous Flash Flooding: A Synthetic Study S. Khosh Bin Ghomash et al. 10.3390/w15040645
- Spatial–temporal analysis of various land use classifications and their long-term alteration's impact on hydrological components: using remote sensing, SAGA-GIS, and ARCSWAT model F. Gholami et al. 10.1039/D2EW00138A
- Dealing with uncertainty along the Kan River, Tehran: planning the Kan River based on social-ecological resilience F. Bahrami et al. 10.1007/s13762-021-03403-1
- Flood risk analysis integrating of Bayesian-based time-varying model and expected annual damage considering non-stationarity and uncertainty in the coastal city X. Guan et al. 10.1016/j.jhydrol.2022.129038
- Comparison of the monthly streamflow forecasting in Maroon dam using HEC-HMS and SARIMA models A. Ahmadpour et al. 10.1007/s40899-022-00686-1
- Annual flood damage influenced by El Niño in the Kan River basin, Iran F. Hooshyaripor et al. 10.5194/nhess-20-2739-2020
- An In-Depth Analysis of Physical Blue and Green Water Scarcity in Agriculture in Terms of Causes and Events and Perceived Amenability to Economic Interpretation K. Zisopoulou & D. Panagoulia 10.3390/w13121693
- Dam breach analysis and flood inundation mapping of Dire Dam, using HEC-HMS and HEC-RAS models B. Tessema et al. 10.1007/s40899-023-01015-w
- Novel Bayesian Additive Regression Tree Methodology for Flood Susceptibility Modeling S. Janizadeh et al. 10.1007/s11269-021-02972-7
14 citations as recorded by crossref.
- An estimation and multi-step ahead prediction study of monthly snow cover area, based on efficient atmospheric-oceanic dynamics H. Bahrami-Pichaghchi & P. Aghelpour 10.1007/s00382-022-06341-x
- The cascading failure of check dam systems during the 28 July 2022 Emamzadeh Davood flood in Iran M. Motagh & H. Akhani 10.1007/s11069-023-05814-4
- Flood prioritization based on fuzzy best worse multi-criteria decision-making method S. Meshram et al. 10.1007/s12517-022-10570-z
- Flood susceptibility mapping using support vector regression and hyper‐parameter optimization A. Salvati et al. 10.1111/jfr3.12920
- Probabilistic El Niño effect on flood damages assessment F. Hooshyaripor 10.1002/joc.7494
- Effects of Within-Storm Variability on Allochthonous Flash Flooding: A Synthetic Study S. Khosh Bin Ghomash et al. 10.3390/w15040645
- Spatial–temporal analysis of various land use classifications and their long-term alteration's impact on hydrological components: using remote sensing, SAGA-GIS, and ARCSWAT model F. Gholami et al. 10.1039/D2EW00138A
- Dealing with uncertainty along the Kan River, Tehran: planning the Kan River based on social-ecological resilience F. Bahrami et al. 10.1007/s13762-021-03403-1
- Flood risk analysis integrating of Bayesian-based time-varying model and expected annual damage considering non-stationarity and uncertainty in the coastal city X. Guan et al. 10.1016/j.jhydrol.2022.129038
- Comparison of the monthly streamflow forecasting in Maroon dam using HEC-HMS and SARIMA models A. Ahmadpour et al. 10.1007/s40899-022-00686-1
- Annual flood damage influenced by El Niño in the Kan River basin, Iran F. Hooshyaripor et al. 10.5194/nhess-20-2739-2020
- An In-Depth Analysis of Physical Blue and Green Water Scarcity in Agriculture in Terms of Causes and Events and Perceived Amenability to Economic Interpretation K. Zisopoulou & D. Panagoulia 10.3390/w13121693
- Dam breach analysis and flood inundation mapping of Dire Dam, using HEC-HMS and HEC-RAS models B. Tessema et al. 10.1007/s40899-023-01015-w
- Novel Bayesian Additive Regression Tree Methodology for Flood Susceptibility Modeling S. Janizadeh et al. 10.1007/s11269-021-02972-7
Latest update: 25 Apr 2024
Short summary
The effect of El Niño on flood damage was investigated. The methodology was based on the calculation of increasing rainfall amount during El Niño events compared to normal conditions. With the southern oscillation index equal to −1.0 as the threshold of El Niño, the annual percentage of increased rainfall is 12.2 %. The annual change factor may not necessarily be transferred to extreme values. Nonetheless, the change factor was applied for generating simulated storms of different return periods.
The effect of El Niño on flood damage was investigated. The methodology was based on the...
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