Calibration of infiltration, roughness and longitudinal dispersivity coefficients in furrow fertigation using inverse modelling with a genetic algorithm

摘要: Determining soil hydraulic properties in surface irrigation which the is used both to convey and infiltrate water very important. It becomes an issue of great concern when fertilisers were also added during fertigation. The purpose this study was estimate infiltration, roughness longitudinal dispersivity coefficients conventional alternate furrow fertigation using inverse modelling with a genetic algorithm. A model simulate overland flow solute transport. To discover optimum values coefficients, algorithm fifteen objective functions minimise differences between observed simulated advance time, recession runoff hydrograph nitrate concentration. results indicated that fertiliser parameters more sensitive runoff, time concentration, respectively. best simulations phases obtained by estimated from function minimised For improving simulation discharge, minimising as well necessary. Similarly, improved concentration needed measured proposed approach GA resulted better performance compared two-point method, particularly fixed variable