| 1. | Dynamic analysis of groundwater system of dalongtan project
大龙潭水利枢纽地下水动态分析 |
| 2. | Groundwater system is an intricate and stochastic system
摘要地下水系统是一个复杂的随机系统。 |
| 3. | Study on the groundwater system of suhebatuo basin of mongolia
蒙古国苏赫巴托洼地地下水系统分析 |
| 4. | Groundwater system parameter identification of bp artificial neural networks is studied
设计开发了多种地下水系统参数识别的智能方法。 |
| 5. | Groundwater vulnerability reflects the relative potential possibility of groundwater system to be polluted
地下水环境脆弱性（也称地下水脆弱性）反映地下水系统遭受污染的潜在可能性。 |
| 6. | A conceptual model for groundwater system in large - scale landslidea case study of baota landslide in the reservoir area of three - gorges project
大型滑坡地下水系统的概念模型以长江三峡库区宝塔滑坡为例 |
| 7. | Modifications to 2dfemfat were done to make it capable of simulating contaminant transport in a tidally affected groundwater system
对该模型作了修改完善，增加了潮汐模拟条件，使其能模拟潮汐影响下地下水中污染物的输移过程。 |
| 8. | The former is of opinion that the boundary of karst - groundwater system in research area is in consonance with the boundary of " tong - pu - he subsystem of karst groundwater " in east wei bei
前人认为，研究区岩溶水系统边界即为渭北东部的“铜蒲合子系统”边界。 |
| 9. | It include yellow river water system and groundwater system which is evolved from yellow river water . the geological environment which is evolved by permeation is called as seepage field which is formed for yellow river water permeate into shallow layer groundwater from side
渗透演化的地质环境称黄河水侧渗补给浅层地下水的渗流场，渗流场中，从源到汇的水的循环称为黄河水侧渗补给浅层地下水系统。 |
| 10. | Rbf artificial neural networks are presented , and there is better effect because the algorithm has local approach ability . nonlinear optimal model of groundwater system parameter identification is constructed including genetic algorithm , simulated annealing and genetic algorithm with simulated annealing
对基于bp神经网络的地下水系统参数识别进行了研究，并且提出了地下水系统参数识别的rbf神经网络方法，设计了算法步骤。 |
