摘要
引入遗传算法、模拟退火算法、粒子群算法等智能算法,应用于土壤水分特征曲线Van Genuchten方程参数确定的非线性拟合问题,分别针对粉壤土、细砂土、砾石的吸湿和脱湿曲线得到了Van Genuchten方程的相关参数。结果表明:三种算法的模拟结果非常接近,模拟精度较高;不同算法在细砂土和砾石上的模拟结果十分接近,而遗传算法在粉壤土上应用的误差稍大;与实测结果相比,模拟结果在土壤水吸力高于1000cm的高吸力范围和曲线由快速下降转为平稳阶段的过渡阶段(土壤水吸力约为200cm)模拟误差较大。
Intelligent algorithms including genetic algorithm,simulated annealing algorithm and particle swarm optimization algorithm were applied in the parameters determination of Van Genuchten equation.Case studies were carried out on both the imbibition and drainage curves of silt loam soil,fine sandy soil and gravel.The accuracy of simulation was high;no significant differences were founded between results by different methods.Comparison between soils illustrate that the results of different methods are high cons...
出处
《水利学报》
EI
CSCD
北大核心
2007年第S1期696-700,共5页
Journal of Hydraulic Engineering
基金
教育部重点科研资助项目(重点03171)
关键词
土壤水分特征曲线
智能算法
参数
遗传算法
粒子群算法
模拟退火算法
water retention characteristics
intelligent algorithms
parameters
genetic algorithm
particle swarm optimization
simulated annealing algorithm
