Computation of hydrodynamic dispersion coefficient with curve fitting method based on bat algorithm
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摘要: 利用弥散资料确定含水层弥散系数的标准曲线法在具体应用中存在较大的随意性，用一种基于蝙蝠算法的适线法进行一维流动二维水动力弥散模型中弥散系数的识别，在一定程度上解决了传统的标准曲线法求解含水层弥散系数中主观因素造成较大误差的现象，并能直接得出地下水流速。实例计算结果表明，基于蝙蝠算法的适线法是求解水动力弥散系数的一种高效方法，可广泛用于求解其他水文地质问题。Abstract: Standard curve method is the most commonly used way to determine the dispersion coefficient of aquifer. But its main drawback is that curves are often relied solely on individual manipulation. In view of curve fitting method, we proposed a new metaheuristic method:bat algorithm(BA), which is based on the echolocation behavior of bats, to identify the coefficient of one-dimensional flow two-dimensional hydrodynamic model. The bat algorithm can reduce the main error to some extent which is caused by fitting curve subjectively. Moreover, groundwater velocity can be obtained directly. The case study results indicates that the proposed bat algorithm is an efficient method to solve hydrogeological parameters by utilizing the dispersion test furthermore, BA can be widely used in the solution of hydrogeological issues.
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Keywords:
- bat algorithm /
- standard curve method /
- dispersion coefficient /
- dispersion test
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