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基于Visual MODFLOW模型的三湖灌域地下水资源评价
引用本文:丁雪华,朝伦巴根.基于Visual MODFLOW模型的三湖灌域地下水资源评价[J].灌溉排水学报,2007,26(3):93-96.
作者姓名:丁雪华  朝伦巴根
作者单位:内蒙古农业大学,水利与土木建筑工程学院,呼和浩特,010018
摘    要:以内蒙古河套灌区下游的三湖灌域为研究背景,采用Visual MODFLOW模型对研究区未来15年的水资源利用及水资源变化趋势作了详细的预测研究。结果显示,到2010年研究区地下水总补给量为9940.76万m3,2015年为8184.34万m3,2020年为6808.72万m3。3个水平年地下水总补给量分别比现状年减少551.68、2308.1和3666.05万m3。3个水平年地下水位下降幅度分别为0.5~2.0 m、0.5~2.5 m之间和0.5~3.0 m之间。到2020年研究区地下水位下降最大达3 m,已接近生态要求最低水位。研究区引黄灌溉水量最少不能低于6000万m3,否则,将会出现地下水量减少、地下水位持续下降的趋势,危及生态环境的安全。

关 键 词:地下水资源评价  Visual  MODFLOW模型  预测
文章编号:1672-3317(2007)03-0093-04
修稿时间:2007-04-20

Evaluation of Groundwater Resources Based on Visual MODFLOW Model in Sanhu Irrigation District
DING Xue-hua,CHAO Lun-ba gen.Evaluation of Groundwater Resources Based on Visual MODFLOW Model in Sanhu Irrigation District[J].Journal of Irrigation and Drainage,2007,26(3):93-96.
Authors:DING Xue-hua  CHAO Lun-ba gen
Institution:Hydraulic and Civil Engineering College, Inner Mongolia Agriculture University, Huhehot 010018, China
Abstract:The utilization and change of the water resources of Sanhu Irrigation Area at the lower reach of Inner Mongolia Hetao Irrigation District within the future 15 years were studied in detail with the Visual MODFLOW model.The results indicate that total groundwater recharges of the study area are 9.94076×107 m3 at 2010,8.18434×107 m3 at 2015 and 6.80872×107 m3 at 2020;and compared with the current year the total groundwater recharges at the 3 years will decrease by 5.5168×106、2.3081×107 and 3.66605×107 m3 respectively and the corresponding groundwater levels will drop down by 0.5~2.0、0.5~2.5 and 0.5~3.0 m respectively.With the maximum dropdown of 3 m at 2020,the groundwater level in the study area will reach the lowest level meeting ecological requirement.The irrigation diversion from the Yellow River of the study area should be by no means lower than 6×107 m3,other wise the trend of groundwater decrease and continuous fall of groundwater level will present itself,endangering the ecological safety.
Keywords:groundwater resources evaluation  Visual MODFLOW model  prediction
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