基于GSFLOW的片麻岩地区地表水和地下水耦合作用分析

摘要

Water shortage has become an important issue facing the world. The law of water temperature circulation plays an important role in the temporal and spatial distribution of water resources. The coupling effect of surface water and groundwater in gneiss area is analyzed by GSFLOW software. The results show that: The probability coefficient of the probability period is 11.8％ larger than the probability coefficient of the model period. The error between the calculated value of the detected water level and the observed value is 0.3 m, and the correlation coefficient is 0.925, which meets the simulation requirements. With the decrease of groundwater exploitation, the dynamic characteristics of the groundwater level rise. The high trend, with the increase of the groundwater level, the channel-based flow shows an increasing trend.%水资源短缺已经成为全球面临的一个重要的问题, 水温循环规律对于水资源的时间和空间分布具有重要的作用, 通过GSFLOW软件对片麻岩地区地表水和地下水耦合作用进行分析, 研究结果表明:概率期确定性系数比模型期概率系数大11.8％, 检测水位的计算值与观测值的误差为0.3 m, 相关系数为0.925, 符合模拟要求;随着地下水开采的减少, 地下水位动态特征呈现升高趋势, 随地下水位的增加河道基流量呈现增加趋势.