Drip irrigation is considered as one of the most efficient irrigation systems. Knowledge of the soil wetted perimeterarising from infiltration of water from drippers is important in the design and management of efficient irrigation systems.To this aim, numerical models can represent a powerful tool to analyze the evolution of the wetting pattern duringirrigation, in order to explore drip irrigation management strategies, to set up the duration of irrigation, and finallyto optimize water use efficiency. This paper examines the potential of genetic programming (GP) in simulatingwetting patterns of drip irrigation. First by considering 12 different soil textures of USDA-SCS soil texture triangle,different emitter discharge and duration of irrigation, soil wetting patterns have been simulated by using HYDRUS 2Dsoftware. Then using the calculated values of depth and radius of wetting pattern as target outputs, two different GPmodels have been considered. Finally, the capability of GP for simulating wetting patterns was analyzed using somevalues of data set that were not used in training. Results showed that the GP method had good agreement with resultsof HYDRUS 2D software in the case of considering full set of operators with R2 of 0.99 and 0.99 and root mean squarederror of 2.88 and 4.94 in estimation of radius and depth of wetting patterns, respectively. Also, field experimental resultsin a sandy loam soil with emitter discharge of 4 L h–1 showed reasonable agreement with GP results. As a conclusion,the results of the study demonstrate the usefulness of the GP method for estimating wetting patterns of drip irrigation.
|Numero di pagine||12|
|Rivista||Spanish Journal of Agricultural Research|
|Stato di pubblicazione||Published - 2012|
All Science Journal Classification (ASJC) codes
- Agronomy and Crop Science