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毛乌素沙地南缘降水入渗滞后补给与模型参数敏感性分析
王锴1,2,3, 杨泽元1,2,3, 袁悦1,2,3, 陈志军1,2,3
1.长安大学 环境科学与工程学院, 陕西 西安 710054;2.旱区地下水文与生态效应教育部重点实验室, 陕西 西安 710054;3.陕西省地下水与生态环境工程研究中心, 陕西 西安 710054
摘要:
[目的]研究陕北毛乌素沙地南缘降水入渗滞后补给与数值模型参数敏感性,为该地区地下水资源合理开发利用与生态环境保护提供科学依据。[方法]基于原位监测数据分析降水入渗滞后补给现象,采用输入输出变化率(ROV)分析数值模型参数敏感性。[结果]小雨型的降水包气带响应深度为3~10 cm,中雨型为30~60 cm,大雨型为60~90 cm,暴雨型均大于90 cm,地下水补给滞后时间约4~11 h。参数敏感性分析表明,底部通量对于饱和含水率最为敏感。[结论]入渗响应深度与降水量线性相关,降水补给滞后时间与饱和含水率显著正相关。
关键词:  降水入渗滞后  数值模型  参数敏感性  地下水浅埋区  毛乌素沙地
DOI:10.13961/j.cnki.stbctb.2019.02.011
分类号:P641
基金项目:国家自然科学基金项目(41272247;41672250;41230314);中央高校基本科研业务费(300102298204)
Lagging Infiltration Recharge in South Margin of Mu Us Sandy Land and Parameter Sensitivity Analysis of Model
Wang Kai1,2,3, Yang Zeyuan1,2,3, Yuan Yue1,2,3, Chen Zhijun1,2,3
1.School of Environmental Science and Engineering, Chang'an University, Xi'an, Shaanxi 710054, China;2.Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Regions of Ministry of Education, Xi'an, Shaanxi 710054, China;3.Engineering Research Center of Groundwater and Eco-environment of Shaanxi Province, Xi'an, Shaanxi 710054, China
Abstract:
[Objective] The lagging infiltration recharge in south margin of Mu Us sandy land and parameter sensitivity of numerical model were studied in order to provide scientific basis for rational exploitation and utilization of groundwater resources and protection of ecological environment in this area.[Methods] Lagging infiltration recharge was analyzed based on field monitoring data, and sensitivity analysis of numerical model parameters was conducted using ratio of variation(ROV).[Results] The response depth of water content to the precipitation was 3~10 cm in small rain scenario, and 30~60 cm, 60~90 cm, more than 90 cm in middle, heavy and storm rain scenarios. The groundwater recharge was approximately 4~11 h lagged. Sensitivity analysis showed that saturated water content (θs) was the most sensitive parameter to the bottom flux.[Conclusion] The response depth of water content are linearly correlated with the precipitation and the groundwater recharge lag time has a positive correlation with θs.
Key words:  precipitation infiltration lag  numerical model  parameter sensibility  shallow groundwater area  Mu Us sandy land