基于电性结构数据的渤海湾盆地中南部地下水矿化度估算方法研究
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本文为国家重点研发计划资助项目(编号:2022YFF0800702)的成果


Study on groundwater mineralization estimation method based on electrical structure data in central and southern Bohai Bay Basin
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  • 1)中国地质大学(北京)地球物理与信息技术学院,北京,100083    
  • 1)中国地质大学(北京)地球物理与信息技术学院,北京,100083;2)陆内火山与地震教育部重点实验室(中国地质大学,北京),北京,100083    
  • 1)中国地质大学(北京)地球物理与信息技术学院,北京,100083    
  • 1)中国地质大学(北京)地球物理与信息技术学院,北京,100083    
  • 1)School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, 100083    
  • 1)School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, 100083;2)Key Laboratory of Intracontinental Volcano and Earthquake, Ministry of Education (China University of Geosciences, Beijing), Beijing, 10008    
  • 1)School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, 100083    
  • 1)School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, 100083    
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    摘要:

    矿化度(水中溶解阴、阳离子的总质量浓度)是评价地下水水质的重要参数,通常需要采集钻井水样进行化验。电阻率是唯一对矿化度极为灵敏的物性参数,为了更加方便的对较大的区域进行矿化度估算,可以利用电阻率与地下水矿化度之间的关系对矿化度进行估算。笔者等利用渤海湾盆地中南部的大地电磁测深数据,反演获得了该区三维电阻率模型,并结合已有的钻井资料进行了地层划分,进而利用电阻率与孔隙度、温度等参数相结合的地下水矿化度估算方法,对渤海湾盆地1. 755 km深度下的黄骅拗陷南部与临清拗陷莘县地区的地下水矿化度进行了估算。并在献县地区将计算结果与钻井资料对比,验证了可靠性。估算结果表明研究区北部的沧州地区在一个矿化度高值异常的地下水流动缓滞的沉积沉降中心,矿化度值在1. 15~5. 31 g/L;研究区中部的临清拗陷莘县地区存在一个矿化度为1. 34~11. 9 g/L的区域,两个结果均与前人的水文研究获得的区域径流条件相符。笔者等研究结果表明,基于电性结构数据的地下水矿化度估算方法可行。

    Abstract:

    The purpose of this study is to estimate groundwater mineralization over a larger area by utilizing the relationship between electrical resistivity and groundwater mineralization. This is achieved by integrating geoelectromagnetic sounding data with well data to develop an estimation method that does not rely solely on water sample collection.Methods: This research uses geoelectromagnetic sounding data collected from the central and southern parts of the Bohai Bay Basin to create a three-dimensional resistivity model. This model is then combined with existing well data to delineate the stratigraphy. A groundwater mineralization estimation method is applied, which integrates resistivity with parameters like porosity and temperature to calculate mineralization levels.Results: Groundwater mineralization at a depth of 1. 755 km in the southern Huanghua Depression, the Linqing Depression in the Bohai Bay Basin, and the Xin County area was estimated. The results were compared with well data from the Xinxian area, confirming the accuracy of the estimates. The study found that the northern Cangzhou area had high mineralization values ranging from 1. 15 to 5. 31 g/L, with slow groundwater flow in a sedimentary settlement center. The Linqing Depression in Xin County showed a mineralization range of 1. 34 to 11. 9 g/L, which aligns with previously obtained regional runoff conditions.Conclusions:The study concludes that the groundwater mineralization estimation method based on electrical structure constraints is reliable and feasible. The results validate the use of geoelectromagnetic sounding data for large-scale estimation of groundwater mineralization

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李元辰,叶高峰,张博文,胡浩远.2025.基于电性结构数据的渤海湾盆地中南部地下水矿化度估算方法研究[J].地质论评,70(2):2025020012,[DOI].
LI Yuanchen, YE Gaofeng, ZHANG Bowen, HU Haoyuan.2025. Study on groundwater mineralization estimation method based on electrical structure data in central and southern Bohai Bay Basin[J]. Geological Review,70(2):2025020012.

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  • 收稿日期:2024-12-11
  • 最后修改日期:2025-03-27
  • 在线发布日期: 2024-03-20
  • 出版日期: 2024-03-15