Department of Hydraulic Engineering, Tongji University, Shanghai, 200092, China E-mail:
Changzhou Academy of Environmental Science, Changzhou 213022, China.
Water Sci Technol. 2013;68(11):2359-66. doi: 10.2166/wst.2013.499.
The spatiotemporal characterization of unknown sources of groundwater pollution is frequently encountered in environmental problems. This study adopts a simulation-optimization approach that combines a contaminant transport simulation model with a heuristic harmony search algorithm to identify unknown pollution sources. In the proposed methodology, an almost-parameter-free harmony search algorithm is developed. The performance of this methodology is evaluated on an illustrative groundwater pollution source identification problem, and the identified results indicate that the proposed almost-parameter-free harmony search algorithm-based optimization model can give satisfactory estimations, even when the irregular geometry, erroneous monitoring data, and prior information shortage of potential locations are considered.
在环境问题中，经常需要对地下水污染的未知来源进行时空特征描述。本研究采用了一种模拟-优化方法，将污染物运移模拟模型与启发式和声搜索算法相结合，以识别未知污染源。在所提出的方法中，开发了一种几乎无参数的和声搜索算法。该方法的性能在一个说明性的地下水污染源识别问题上进行了评估，识别结果表明，即使考虑了潜在位置的不规则几何形状、错误的监测数据和先验信息不足，基于几乎无参数的和声搜索算法的优化模型也可以给出令人满意的估计。
