trend analysis, modeling and uncertainty estimation of streamflow recession (case study: bashar river of kohgiloyeh and boyer ahmad province)

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.