TY - JOUR ID - 60358 TI - Trend analysis, modeling and uncertainty estimation of streamflow recession (Case Study: Bashar River of Kohgiloyeh and Boyer Ahmad Province) JO - Iranian journal of Ecohydrology JA - IJE LA - en SN - 2423-6098 AU - Bahrami, Mehdi AU - Fathabadi, Abolhasan AU - Hojati, Ali AD - Department of Water Engineering, Faculty of Agriculture, Fasa University, Fasa, Iran AD - Faculty of Natural Resources, Gonbad Kavoos University AD - MSc. of Civil Engineering, Water Structures Y1 - 2016 PY - 2016 VL - 3 IS - 4 SP - 557 EP - 567 KW - Streamflow recession KW - Hydrograph KW - Bashar River KW - trend KW - Kohgiluyeh and Boyer ahmad DO - 10.22059/ije.2016.60358 N2 - Streamflow recession indicates the river network balance between revenue and losses of river. Recession curve expreses the storage- output relationship for the catchment. The aim of this study was trend anaylysis, modeling of Streamflow recession and uncertainty estimation in Shahmokhtar station on the Bashar River in Kohgiluyeh and Boyer Ahmad province. Based on the results of the Mann-Kendall, discharge trend at studied station was very little increasing, but there was no significant trend. After determination of parts, the Maillet, Baronz, Boussinesq, Horton, Drouge and exponential reservoir models were fitted. In this regard, initially the different parts of the recession lamb (in multireservoir models) were determined and the parameters of Maillet, Barnes, Boussinesq, Horton, Coutagne, Drogue and exponential reservoir models were estimated. To calibrate the coefficients of models, in addition to overlaying the estimated and observed hydrographs, the sum of square error criteria was used. Comparing the results also showed that models of Drouge, Barnes, Horton, Boussinesq exponential reservoir and Maillet could be fitted well, respectively.       UR - https://ije.ut.ac.ir/article_60358.html L1 - https://ije.ut.ac.ir/article_60358_96e94d8bb472dbf566cbef5711243533.pdf ER -