Modeling Drop Size Emitted from Irrigation Impact Sprinklers using Gene Expression Programing and Multiple Linear and Nonlinear Regression Methods

Journal of Applied Biological Sciences

Amir Hosein NAZEMI¹  Reza DELIRHASANNIA¹  Ali Ashraf SADRADDINI¹  Vahdat AHMADIFAR¹ 

关键词: Drop size;    impact sprinkler;    modeling;    nozzle diameter;    operation pressure;   

DOI  :  

学科分类：生物科学（综合）

来源: Nobel Bilim ve Arasirma Merkezi/Nobel Science and Research Cente

【 摘 要 】

Thecharacteristicsofdropsproducedbysprinklershaveimportantroleindesigning,evaluationofsprinklerirrigation,determiningwinddriftandevaporationlossesandsoilcompaction.Predictingthesizeofemitteddropscanimprovetheaccuracyofabovementionedissues.InthisresearchGeneExpressionPrograming(GEP)asoneofartificialintelligentmethodsandmultiplelinearandnonlinearregressionmethods(MLRandMNLR)wereappliedformodelingthesizeofthedropsproducedbysprinklers.Theinputdatawereincludednozzlediameter,operationpressure,andthedistancefromsprinklerandtheoutputswastheaveragesizeoflandeddropsinagivendistancesfromsprinkler.Theexperimentswereconductedin22combinationsofnozzlediametersandoperationpressureandinawindlesscondition.Ineachexperiment9to14measurementstationswereconsideredwith1.5metersspacingintervalsfromsprinkler.Usingdigitalphotographymethodandanalyzingthetakenphotos,hydrodynamicalpropertiesofdropsinphotosweredetermined.Obtaineddatawereclassifiedinthenozzlesdiameters,operationpressures,distancesfromsprinklerinonesideandaveragesizeoflandeddropsineachstationintheotherside.FinallytheGEPmethodandMLRandMNLRmethodswereappliedtodevelopmodelsforpredictinglandeddropsizeincertaindistances.Comparisonsbetweenmodelsoutputsandexperimentaldataweredonetoevaluatemodelsperformances.TheresultsshowedthatinGEPmethod,F5modelwithR=0.9599andRMSE=0.4060mm,andinMNLRmethodL1modelwithR=0.9333andRMSE=0.5442mm,havegoodaccuracytobeproposedaspropermodelsforpredictingemitteddropsizefromirrigationimpactsprinklers.

【 授权许可】

Unknown