摘要
本文采用定性分析与定量计算相结合、随机模型与确定性模型相耦合的方法,确定了公主岭市黄龙工业园水源地的合理开采量。分析了研究区地下水的补排关系和补给能力;应用VisualMODFLOW 3.1对研究区的地下水流进行了数值模拟,并预报了新水源地投产后地下水水位及流场的时空响应变化;模型预报过程中采用Monte-Carlo随机方法模拟预报了研究区的降水量。模型预报结果表明,在区内和邻区不再增建承压水水源地的情况下,承压水可开采资源量为15800m3/d。为研究区地下水资源的合理开发提供了科学依据。
The rational pumping yield of the well field for Huanglong Industrial Garden in Gongzhuling is determined by combining qualitative analysis with quantitative calculation and by coupling stochastic model with deterministic model. The relationship between recharge and discharge and the replenishment capacity of the groundwater in the research area are analyzed. The numerical simulation for the groundwater is carried out with Visual MODFLOW 3.1, and the temporal and spatial variation of the groundwater level and the flow fields are forecasted after the new well field is put into use. The precipitation of the area is simulated and predicted by using Monte-Carlo stochastic method. The results show that the minable yield of the confined water in the well field is about 15800m^3/d under the condition of no new well field for exploring the confined water in the research area and the adjacent area, which offers a scientific basis for the reasonable exploitation of groundwater resource in the area.
出处
《工程勘察》
CSCD
北大核心
2006年第3期24-27,36,共5页
Geotechnical Investigation & Surveying
基金
国家自然科学基金资助项目(30370825)
作者简介
李平（1982-），女（汉族），河南南阳人，在读博士．
