科教导刊
科教導刊
과교도간
The Guide of Science & Education
2015年
29期
43-44
,共2页
越流%粒子群优化算法%抽水试验%含水层参数
越流%粒子群優化算法%抽水試驗%含水層參數
월류%입자군우화산법%추수시험%함수층삼수
leakage system%particle swarm algorithm%pumping tests%aquifer parameters
以第一类越流系统情况下的非稳定井流问题的解析解为基础,将抽水试验数据用粒子群优化算法来分析,估计含水层参数.数值试验结果表明:粒子群优化算法可以有效地应用于分析抽水试验数据,确定含水层参数.具有运算速度快和计算精度高等优点.
以第一類越流繫統情況下的非穩定井流問題的解析解為基礎,將抽水試驗數據用粒子群優化算法來分析,估計含水層參數.數值試驗結果錶明:粒子群優化算法可以有效地應用于分析抽水試驗數據,確定含水層參數.具有運算速度快和計算精度高等優點.
이제일류월류계통정황하적비은정정류문제적해석해위기출,장추수시험수거용입자군우화산법래분석,고계함수층삼수.수치시험결과표명:입자군우화산법가이유효지응용우분석추수시험수거,학정함수층삼수.구유운산속도쾌화계산정도고등우점.
Based on the analytical solutions to well flow problems of unsteady flows in the first type leakage system,the par-ticle Swarm algorithm was employed to analyze the data of pumping tests to determine aquifer parameters.Numerical results show that the Particle Swarm algorithm can be effectively applied to analyzing the data of pumping test for estimation of aquifer parameters, this method has fast speed and high accuracy.
