Groundwater pollutant source tracing method based on set smoothing algorithm and geophysical data
By combining ensemble smoothing algorithms and geophysical data, a coupled groundwater flow-solute transport-geophysical model was constructed, which solved the problems of high cost of acquiring groundwater pollutant concentration monitoring data and difficulty in fine characterizing hydrogeological parameters, and achieved accurate characterization of pollution source information and accurate prediction of pollutant transport.
CN117348092BActive Publication Date: 2026-07-21NANJING CENT CHINA GEOLOGICAL SURVEY
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING CENT CHINA GEOLOGICAL SURVEY
- Filing Date
- 2023-09-25
- Publication Date
- 2026-07-21
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Figure CN117348092B_ABST
Abstract
The application discloses a groundwater pollutant tracing method based on an ensemble smoothing algorithm and geophysical data, and relates to the field of environmental protection. The method comprises the following steps: conducting a hydrogeological basic investigation on a contaminated site to obtain the topography, groundwater point types and hydrogeological conditions of a research area; measuring and obtaining the measured apparent resistivity data of the stratum by using a high-density resistivity imaging method, and constructing a groundwater flow-solute transport-geophysical coupling model of the contaminated site; obtaining the simulated apparent resistivity data of the stratum, and obtaining the real hydrogeological parameters and pollution source information of the contaminated site by using an ensemble smoothing data assimilation method; and predicting the pollutant transport prospect by using a groundwater pollutant transport numerical simulation software based on the updated hydrogeological parameters and pollution source information of the contaminated site. The application establishes a groundwater flow-solute transport-geophysical coupling model from the perspective of a lithology physical model, and jointly and finely depicts the hydrogeological parameters and pollution source information of the contaminated site by fusing geophysical observation data based on an ensemble smoothing data assimilation algorithm.
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