In order to improve sprinkler irrigation quality and promote actual irrigation efficiency,the influence analysis of sprinkler irrigation effectiveness(SIE)using ANFIS(Adaptive Neural Fuzzy Inference System)was impleme...In order to improve sprinkler irrigation quality and promote actual irrigation efficiency,the influence analysis of sprinkler irrigation effectiveness(SIE)using ANFIS(Adaptive Neural Fuzzy Inference System)was implemented to balance moisture infiltration and water redistribution in soil field.Firstly,using a detailed description of governing equations proposed for sprinkler irrigation flow,the theoretical foundation and mathematical model of irrigation effectiveness can be established;Secondly,based on a complete preparation of experimental irrigation conditions,a series of calibration indexes quantifying SIE for sprinkler irrigation quality and infiltration efficiency were proposed;Then thirdly,a novel ANFIS system was designed and introduced to evaluate these key effectiveness indexes in actual working operations,so that a series of detailed influence analysis and comprehensive infiltration assessment focusing on sprinkler irrigation effectiveness could be achieved afterwards,which result to the realization of better infiltration equilibrium and higher water redistribution efficiency in actual irrigation test.Therefore,the qualification of sprinkler irrigation effectiveness was achieved,and in addition,the moisture infiltration improvement and soil moisture uniformity were facilitated also in return.展开更多
基金the funding of following science foundations:National Natural Science Foundation of China(51975136,51575116,U1601204)China National Spark Program(2015GA780065)+6 种基金The Science and Technology Innovative Research Team Program in Higher Educational Universities of Guangdong Province(2017KCXTD025)The Innovative Academic Team Project of Guangzhou Education System(1201610013)The Science and Technology Planning Project of Guangdong Province(2017A010102014,2016A010102022)The Science and Technology Planning Project of Guangzhou Municipal Government(201707010293)The Water Resource Science and Technology Program of Guangdong Province of China(2012-11)Guangzhou University's 2017 training program for young top-notch personnels(BJ201701)The Postgraduate Education Innovation Program of Guangdong Province(2016SQXX14,2016XSLT24)。
文摘In order to improve sprinkler irrigation quality and promote actual irrigation efficiency,the influence analysis of sprinkler irrigation effectiveness(SIE)using ANFIS(Adaptive Neural Fuzzy Inference System)was implemented to balance moisture infiltration and water redistribution in soil field.Firstly,using a detailed description of governing equations proposed for sprinkler irrigation flow,the theoretical foundation and mathematical model of irrigation effectiveness can be established;Secondly,based on a complete preparation of experimental irrigation conditions,a series of calibration indexes quantifying SIE for sprinkler irrigation quality and infiltration efficiency were proposed;Then thirdly,a novel ANFIS system was designed and introduced to evaluate these key effectiveness indexes in actual working operations,so that a series of detailed influence analysis and comprehensive infiltration assessment focusing on sprinkler irrigation effectiveness could be achieved afterwards,which result to the realization of better infiltration equilibrium and higher water redistribution efficiency in actual irrigation test.Therefore,the qualification of sprinkler irrigation effectiveness was achieved,and in addition,the moisture infiltration improvement and soil moisture uniformity were facilitated also in return.