摘要
以一维地下水溶质运移模型为基础,利用微分进化算法重点探讨监测频次、测量误差等因素对纵向弥散系数DL、有效孔隙度n以及水流速度u等参数联合反演结果的影响,并构造瞬时源和连续源两种工况的典型案例来验证该方法的可靠性。结果表明:微分进化算法具有收敛速度快、精度高等特点,能够运用于瞬时源和连续源地下水溶质运移模型水力、水质参数的反演问题。
Based on a one-dimensional groundwater solute transport model , the influences of monitoring frequency and measurement precision on joint inversion results of the longitudinal dispersion coefficient DL , the effective porosity n, and the flow velocity u were studied using the differential evolution algorithm .Two typical cases , the instantaneous source and continuous source conditions , were constructed to verify the reliability of the differential evolution algorithm . Numerical experimental results show that the differential evolution algorithm has the characteristics of fast convergence and high precision , and it can be applied to the inversion of hydraulic and water quality parameters of solute transport models under the conditions of an instantaneous source and a continuous source .
出处
《水资源保护》
CAS
2014年第3期5-8,共4页
Water Resources Protection
关键词
地下水
溶质运移
微分进化算法
多参数反演
瞬时源
连续源
groundwater
solute transport
differential evolution algorithm
multi-parameter inversion
instantaneous source
continuous source
