.png){kind=icon}
.png){kind=icon}
Return
Groundwater inundation calculation and prediction based on a groundwater connectivity domain algorithm
.png){kind=icon}
OA
AI
J
Y
C
J
F
C
P
DOI：10.1007/s13201-026-02871-5.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Groundwater inundation prediction and simulation are important for water resource management and geological disaster prevention in plain areas. The inundation height and extent are two important indicators for evaluating reservoir inundation. Although inundation models based on groundwater seepage theory can be used to calculate and predict the groundwater inundation process, it is difficult to establish reasonable models for complex geological structures and diverse land types. To improve the reservoir inundation calculation accuracy under complex geological conditions in plain areas, a new method of overlaying river-interstitial block data was proposed. The main idea of this method is that groundwater inundation can only occur in binary geological structures where the upper layer is a weakly permeable layer and the lower layer comprises a moderately permeable layer. This study focused on the development of the groundwater connectivity domain algorithm (GCDA) for calculation and prediction. The GCDA method utilizes drilling data and critically safe ultrahigh-definition three-dimensional geological models, integrates surface land use type digital elevation model (DEM) data, and constructs topological relationships for groundwater inundation connectivity searches. Adopting the river–land blocks between the main and northern branches of the Ganjiang River tail section project as an example, the application and effectiveness of this method were verified. The results showed that the GCDA method can be employed to calculate and predict reservoir inundation in plain areas and can capture groundwater inundation under a series of conditions representing different water levels. Moreover, with the use of the GCDA method, the groundwater inundation severity can be zoned. Overall, the GCDA method is a useful tool for groundwater inundation impact assessment studies because it provides satisfactory reliability in terms of seepage theory and data input operability.
Keywords:
Groundwater inundation
Hydrogeological analysis
Numerical simulation
Rapid algorithms,
Prediction evaluation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
A
IF:
5.7
Papers:
2.2K
Citations:
1.2W
Organization
Cited Papers