CAJ | 학술논문

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。
이일유지하수용질운이모형위기출，이용미분진화산법중점탐토감측빈차、측량오차등인소대종향미산계수DL、유효공극도n이급수류속도u등삼수연합반연결과적영향，병구조순시원화련속원량충공황적전형안례래험증해방법적가고성。결과표명：미분진화산법구유수렴속도쾌、정도고등특점，능구운용우순시원화련속원지하수용질운이모형수력、수질삼수적반연문제。
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 .