摘要
根据回灌过程中水文地质参数的特点,建立相应的反演优化模型,以西安市北郊某回灌试验为例,利用改进遗传算法求解,并将求解结果与瞬时渗透系数进行对比。结果表明,回灌过程中渗透系数符合指数衰减函数;在渗透系数为常量和变量2种情况下,对比4种求解方法,结果显示,在回灌过程中,将渗透系数设为随时间衰减变量的优化模型,更符合回灌实际情况,利用相应的改进遗传算法进行求解,误差更小,结果更可靠。
According to the characteristics of the hydrogeology parameters in the process of recharging and based on a recharging experiment in the northern suburb of Xi＇an, a corresponding inversion optimization model was established, which was calculated by improved genetic algorithm. A comparison between the calculation results and the instantaneous permeability coefficient showed that the permeability coefficient of recharging process was in accordance with the index attenuation function. The other comparison was con- ducted among the four kinds of solution-seeking methods under the two conditions of constant permeability coefficient and variable permeability coefficient. The result showed that in the process of recharging, the optimization model with attenuation permeability coefficient was better accorded with the actual situation of recharging. It was much more accurate and more reliable to seek the solutions with improved genetic al- gorithm.
出处
《灌溉排水学报》
CSCD
北大核心
2015年第7期88-92,共5页
Journal of Irrigation and Drainage
基金
中国地质调查局地质调查项目(12120113004800)
陕西省水利科技计划项目(2014slkj-19)
陕西省自然科学基金项目(2014JM1030)
关键词
地下水回灌
水文地质参数
优化模型
改进遗传算法
衰减函数
groundwater recharge
hydrogeology parameters
optimization model
improved genetic algorithm
attenuation function
