地下水污染物迁移可靠性分析的小生境混合遗传算法

Reliability analysis of contaminant transportation in groundwater using niche-hybrid genetic algorithm

在地下水污染物迁移问题中,考虑水动力弥散系数及测量误差的不确定性因素对浓度估计可靠性的影响,采用小生境混合遗传算法,对地下水污染物迁移的可靠性进行探讨,并在可靠性条件下进行污染浓度正反问题分析,为地下水环境保护和调控提供更多的决策依据。分析结果表明,小生境混合遗传算法在地下水污染物迁移问题的可靠性分析中具有可行性和有效性。

Considering the influences of uncertain factors of hydrodynamic dispersion coetticient and measurement error on the reliability of contaminant concentration estimation, a discussion was made on the reliability of contaminant transportation in groundwater by use of the niche-hybrid genetic algorithm, and the direct and inverse analysis of contaminant concentration was also performed under the reliability condition, providing more information for decision-making in groundwater environmental protection and regulation. The result of study shows that the niche-hybrid genetic algorithm is feasible and effective for reliability analysis of contaminant transportation in groundwater.