Calibrating Conceptual Rainfall Runoff Models using Artificial Intelligence

Monthly Stream Flows Estimation in the Karasu River of Euphrates Basin With Artificial Neural Networks Approach

“…are examples of work done in such areas. ANN is used to model the R-R relationship (Young and Liu, 2015;Vyas et al 2016;Kumar et al 2016;Dounia et al, 2016;Asadi et al 2019), to predict rainfall (Lee et al, 1998;Mirabbasi et al 2019), to predict river flow (Guimaraes Santos and Silva, 2014;Shi et al, 2016;Zemzami and Benaabidate, 2016;Wagena et al 2020;Adnan et al 2021), to predict reference evapotranspiration (Aytek, 2008;Qasem et al 2019;Tikhamarine et al 2019;Elbeltagi et al 2022), to predict discharge and waterlevel (Khan et al, 2016;Nacar et al 2018;Anilan et al 2020;Damla et al 2020;Temiz et al 2021), to predict snowmelt-runoff (Yilmaz, 2011), ANNs have also been regarded as a powerful tool for use in a variety of underground water problems (Malik et al 2021;Wunsch et al 2021). ANNs can be used for other purposes is unit hydrograph derivation (Lange, 1998), flood frequency analysis (Campolo, 2003;Dawson, et al, 2006;, drought analysis (Shin and Salas, 2000;Ochoa-Rivera, 2008;Banadkooki et al 2021;Ozan Evkaya and Sevinç Kurnaz, 2021), suspended sediment data estimation (Jimeno-Sáez, 2018;Khan et al 2019;Meshram et al 2020), Modelling the infiltration process Sihag et al 2021;Singh et al 2021), estimation of hydroelectric generation (Uzlu et al, 2014;…”