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Estimation of rating curve in river’s tidal limit using long term and tidal flood data

Document Type : Original Manuscript

Author

Abstract

Estimation of the water level in river’s tidal limit is a suitable tool for the tidal flood management for rivers that are located in coastal areas. In this limit, propagation of tidal waves along the river to the upstream and combination of these waves and upstream flood discharge leads to an increase in flood plain limit and risk of damage. In this study, the reach between Ahvaz and Khorramshahr in Karun River is selected as case study and different linear and non-linear models are investigated for prediction of water level as a function of flood discharge of upstream. The analysis is performed for two cases considering the nature of tidal flood. In first case, total recorded data is investigated while in second case tidal flood data is extracted based on peak over threshold series analysis. Analysis of residuals of models in two cases show that the linear models are not acceptable, therefore the transformed nonlinear models that are a form of linear models are considered for modeling too. The power equations with improved coefficient of determination, relatively constant variance and normal distribution of residuals of models are concluded from detailed analysis in calibration parts for two cases. These selected models are used for validation part for two cases. The results confirm the acceptability of these models considering their simplicity and better efficiency for first case than second case.

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References
Abdolkhanian, N., Elmizadeh, H., Dadolahi Sohrab, A., Savari, A., and FayazMohammadi, M. 2018. Comparing Modeling of Pollution in Arvand River in the Dry and Wet Seasons. Journal of Marine Science and Technology, 16(4): 13-24. 
Adib, A. 2008. Determining water surface elevation in tidal rivers by ANN.Proceedings of the ICE-Water Management, 161(2): 83-88.
Akbari, P., Sadrinasab, M., Chegini, V., and Siadat Mousav, SM. 2017. Study of tidal components amplitude distribution in the Persian Gulf, Gulf of Oman and Arabian Sea using numerical simulation. Journal of Marine Science and Technology, 16(3): 27-41. 
Armstrong, W. H., Collins, M. J., and Snyder, N. P. 2012. Increased Frequency of LowMagnitude Floods in New England1. JAWRA Journal of the American Water Resources Association, 48(2): 306-320.
Coles, S. 2007. An introduction to Statistical Modeling of Extreme Values. Springer Series in Statistics. 210p.
Echenique-Subiabre, I., Dalle, C., Duval, C., Heath, M. W., Couté, A., Wood, S. A., ... and Quiblier, C. 2016. Application of a spectrofluorimetric tool (bbe BenthoTorch) for monitoring potentially toxic benthic cyanobacteria in rivers. Water research, 101: 341-350.
El-Jabi, N., Wakim, G., and Sarraf, S. 1992. Stage-discharge relationship in tidal rivers. Journal of waterway, port, coastal, and ocean engineering, 118(2): 166-174.
Heidarzadeh , M., Moosavi nadooshani, SS., Mahdipoor, A. 2011.  Development of the QDF models using partial duration series,‎ case study: Soltani station on Halilrood river. Watershed Management and Engineering, 2(4): 237-250.
Hooshm, A., Salarijazi, M., Bahrami, M., Zahiri, J., and Soleimani, S. 2013. Assessment of pan evaporation changes in South Western Iran. African Journal of Agricultural Research, 8(16): 1449-1456.
Kisi, Ö., and Çobaner, M. 2009. Modeling River Stage-Discharge Relationships Using Different Neural Network Computing Techniques. CLEAN–Soil, Air, Water, 37(2): 160-169.
Li, G. F., Tan, Y., and Zhang, X. J. 2006. Influence of upstream discharge in tidal level prediction for tidal reaches. Journal of Hohai University (Natural Sciences),34(2): 144-147.
Li, G., Xiang, X., Wu, J., and Tan, Y. 2011. Long-Term Water-Level Forecasting and Real-Time Correction Models in the Tidal Reach of the Yangtze River.Journal of Hydrologic Engineering, 18(11): 1437-1442.
Madsen, H., Rasmussen, P.F., Rosbjerg, D. 1997. Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events 1. At-site modeling. Water Resources Research. 33(4): 747-757.
Moslemzadeh, M., Salarizazi, M., and Soleymani, S. 2011. Application and assessment of kriging and cokriging methods on groundwater level estimation. Journal of  American Science, 7(7): 34-39.
Nagy, B. K., Mohssen, M., and Hughey, K. F. D. 2017. Flood frequency analysis for a braided river catchment in New Zealand: Comparing annual maximum and partial duration series with varying record lengths. Journal of Hydrology, 547: 365-374.
Pinya, M.A.S., Madsen, H., Rosbjerg, D. 2009. Assessment of the risk of inland flooding in a tidal sluice regulated catchment using multivariate statistical techniques. Physics and Chemistry of the Earth. 34(10-12): 662-669.
Roscoe, K., Caires, S., Diermanse, F., Groeneweg, J. 2010. Extreme offshore wave statistics in the North Sea. WIT Transactions on Ecology and the Environment. 133: 47-58. 
Rose, L., and Bhaskaran, P. K. 2017. Tidal propagation and its non-linear characteristics in the Head Bay of Bengal. Estuarine, Coastal and Shelf Science, 188: 181-198.
Sadeghian, M. S., Salarijazi, M., Ahmadianfar, I., and Heydari, M. 2016. Stage-Discharge relationship in tidal rivers for tidal condition.  Fresenius Environmental Bulletin. 25 (10): 4111-4117.
Salarijazi, M., and Ghorbani, K. 2019. Improvement of the simple regression model for river’EC estimation. Arabian Journal of Geosciences, 12(7), 235.
Simmler, M., Bommer, J., Frischknecht, S., Christl, I., Kotsev, T., and Kretzschmar, R. 2017. Reductive solubilization of arsenic in a mining-impacted river floodplain: Influence of soil properties and temperature. Environmental Pollution, 231: 722-731.
Supharatid, S. 2003. Application of a neural network model in establishing a stage–discharge relationship for a tidal river. Hydrological processes, 17(15): 3085-3099.
Tsai, C. P., and Lee, T. L. 1999. Back-propagation neural network in tidal-level forecasting. Journal of Waterway, Port, Coastal, and Ocean Engineering,125(4): 195-202.
Journal of Marine Science and Technology
Volume 18, Issue 1
May 2019
Pages 43-61
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