Visual Modflow在石家庄市地下水硝酸盐污染模拟中的应用

利用Visual Modflow软件建立了石家庄市长达42 a的二维潜水水流模型和硝酸盐运移模型.收集整理大量地下水监测报告和研究报告提供的数据用于模型的建立,详细的地下水位和硝酸盐浓度监测数据以及不同时期的等水位线图用于模型校正.敏感度分析显示面状硝酸盐补给浓度是引起地下水NO3-浓度变化最敏感因子.利用校正的模型分3种管理方案预测了未来30 a内地下水硝酸盐浓度的变化.拟合、验证和预测结果显示该模型可作为石家庄市地下水管理的有效工具.

The Application of Visual Modflow to the Simulation of Groundwater Nitrate Contamination in Shijiazhuang

Two-dimensional unconfined flow and nitrate transport models for a long period of 42 years in Shijiazhuang were built up by using Visual Modflow. A large number of groundwater monitoring reports and research reports were consulted so as to provide data for the models. Detailed water table and nitrate concentration monitoring data and historical water table contours were used to calibrate the models. Sensitivity analysis show that the areal nitrate recharge concentration seems to be the most sensitive factor causing the variation in nitrate concentrations of groundwater. The models calibrated were used to predict groundwater nitrate concentrations within the coming 30 years under three management schemes. The results of fitting, verification and prediction show that the models can serve as an effective tool for groundwater management in Shijiazhuang.