CAJ | 학술논문

青铜峡灌区耗水量是一个复杂的非线性系统,受多种因素的影响,而农业耗水量是耗水大户.将影响灌区农业耗水量的主要因素：引水量、排水量、降雨量、蒸发量和地下水位埋深作为影响因子,建立青铜峡灌区灌溉耗水量的BP神经网络预测模型.结果表明,应用此网络,对2001-2003年灌区灌溉耗水量进行了预测,误差满足要求,精度较高,说明网络函数的选取和结构设计较为合理,该模型可用于灌区农业耗水量的预测.
청동협관구모수량시일개복잡적비선성계통,수다충인소적영향,이농업모수량시모수대호.장영향관구농업모수량적주요인소：인수량、배수량、강우량、증발량화지하수위매심작위영향인자,건립청동협관구관개모수량적BP신경망락예측모형.결과표명,응용차망락,대2001-2003년관구관개모수량진행료예측,오차만족요구,정도교고,설명망락함수적선취화결구설계교위합리,해모형가용우관구농업모수량적예측.
Qingtongxia Irrigation Area water consumption is a non-linear system,which suffers many kinds of influencing factor restriction,but the agricultural water consumption is the most important component part.In view of the influencing factor of agriculture water consumption in the irrigation area,the main impact factors are the irrigation water volume,the drainage water volume,the rainfall volume,evapotranspiration and ground water table,establishes the BP neural network forecast model of agriculture irrigation water consumption in Qingtongxia eastern irrigation area.The result indicates that selection of network function and the structural design are more reasonable,the error satisfies the needs;the precision is high,which may apply in the forecast of water consumption in other Area.Using this network,forecast the agriculture irrigation water consumption in Qingtongxia irrigation area in 2001-2003.The fact proves that this model suits the prediction of agriculture water consumption in the irrigation area.