| 摘要: |
| [目的]研究粒子群算法在反求割离井公式水文地质参数中的适用性.[方法]以待估计的水文地质参数作为变量,利用割离井公式计算观测井的理论出水量,将理论出水量与观测出水量的偏差平方和作为目标甬数,从而将反求割离井公式水文地质参数问题转化为最优化问题,利用粒子群算法进行求解.[结果]实例验证表明,粒子群算法用于反求割离井公式水文地质参数,计算精度高,不受人为因素干扰,可以取得理想效果.[结论]粒子群算法是反求割离井公式水文地质参数的新方法. |
| 关键词: 粒子群算法 水文地质参数 割离井公式 |
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| 基金项目:长安大学基础科学发展基金? |
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| Estimation of hydrogeology parameters in the isolated-well formula using particle swarm optimization |
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| Abstract: |
| 【Objective】 Applicability of particle swarm optimization (PSO) in estimating hydrogeology parameters in the isolated well formula was studied.【Method】 With hydrogeology parameters as variables,the isolated well formula was used to calculate theoretical aquifer yield,then with the summation of the square of error between theoretical aquifer yield and observed aquifer yield as target function,the problem of estimating hydrogeology parameters was translated into an optimization problem and solved with PSO. 【Result】 Numerical result showed that in estimating hydrogeology parameters in the isolated well formula,the calculating precision of PSO was higher than those of other methods,and was not influenced by artificial factors.The result was satisfactory.【Conclusion】 PSO is feasible to estimate hydrogeology parameters in the isolated well formula. |
| Key words: particle swarm optimization hydrogeology parameter isolated well formula |
