Interpolation methods for spatial distribution of groundwater mapping electrical conductivity
Saeed Salehi1, Reza Barati2, Mozareza Baghani3
1Dept. of Civil Engineering, Lakehead University, Thunder Bay, ON, P7B 5E1, Canada.
Scientific Reports
|December 5, 2024
Summary
This study identifies the optimal interpolation method for mapping electrical conductivity (EC) variability in Iranian aquifers. Results guide the selection of accurate spatial variability models for environmental applications.
Area of Science:
- Environmental Science
- Geosciences
- Hydrogeology
Background:
- Accurate mapping of soil and water properties is crucial for effective resource management.
- Electrical conductivity (EC) variability influences agricultural and environmental assessments.
- Spatial interpolation methods are vital for creating accurate variability maps.
Purpose of the Study:
- To develop a framework for selecting the best interpolation method for electrical conductivity (EC) variability maps.
- To evaluate various interpolation techniques in the Khorasan Razavi province, Iran.
- To identify the most suitable method for regional aquifer analysis.
Main Methods:
- Empirical variogram analysis was performed to understand spatial structures.
- Variogram models (spherical, exponential, Gaussian) were fitted using GS+ software.
- Interpolation methods including Global Polynomial Interpolation (GPI), Inverse Distance Weighing (IDW), Radial Basis Function (RBF), and Kriging were evaluated in a GIS environment.
Main Results:
- The study compared multiple interpolation methods to determine the best fit for EC spatial variability.
- Precipitation within 140-180 mm range indicated priority for a specific method (RBI).
- A systematic evaluation of 14 parameters identified the most effective interpolation approach.
Conclusions:
- The developed framework provides a robust method for selecting optimal interpolation techniques for EC mapping.
- The findings support informed decision-making in managing water resources and understanding spatial variability.
- This research contributes to the precise characterization of hydrogeological parameters in arid and semi-arid regions.
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