# Geophysical and Geoelectrical Methods

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/geophysical-and-geoelectrical-methods/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers covers advancements in geophysical exploration and monitoring techniques, including topics such as electrical resistivity tomography, magnetotelluric imaging, geophysical inversion, hydrogeophysical characterization, marine electromagnetic methods, spectral induced polarization, seismic tomography, geoelectrical signatures, subsurface solute transport, and groundwater exploration. |
| Domain | Physical Sciences |
| Field | Earth and Planetary Sciences |
| OpenAlex ID | t10572 |
| Works | 10 |

## Topic papers all

- [Determining Regional-Scale Groundwater Recharge with GRACE and GLDAS](https://scholariq.org/papers/determining-regional-scale-groundwater-recharge-with-grace-and-gldas/)
- [A method for analyzing a drawdown test in anisotropic aquifers](https://scholariq.org/papers/a-method-for-analyzing-a-drawdown-test-in-anisotropic-aquifers/)
- [Scanning SQUID microscope system for geological samples: system integration and initial evaluation](https://scholariq.org/papers/scanning-squid-microscope-system-for-geological-samples-system-integration-and/)
- [SQUID Microscope With Hollow-Structured Cryostat for Magnetic Field Imaging of Room Temperature Samples](https://scholariq.org/papers/squid-microscope-with-hollow-structured-cryostat-for-magnetic-field-imaging-of/)
- [Magnetic Anomaly Detection Using Multifeature Fusion-Based Neural Network](https://scholariq.org/papers/magnetic-anomaly-detection-using-multifeature-fusion-based-neural-network/)
- [Bagging-based Positive–Unlabeled Data Learning Algorithm with Base Learners Random Forest and XGBoost for 3D Exploration Targeting in the Kalatongke District, Xinjiang, China](https://scholariq.org/papers/bagging-based-positive-unlabeled-data-learning-algorithm-with-base-learners/)
- [Soil water infiltration measurements using electrical impedance tomography](https://scholariq.org/papers/soil-water-infiltration-measurements-using-electrical-impedance-tomography/)
- [Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width design](https://scholariq.org/papers/machine-learning-vs-statistical-model-for-prediction-modeling-and-experimental/)
- [Effects of electrical conductivity on uncoated- and coated-rods of eight electromagnetic soil water content sensors](https://scholariq.org/papers/effects-of-electrical-conductivity-on-uncoated-and-coated-rods-of-eight/)
- [Application of the Ground Penetrating Radar (GPR) and Electromagnetic (EM34-3) Geophysical Tools and Sedimentology for the Evaluation of the Subsurface of Sites Earmarked for Aquaculture Ponds in the Amazon Region of Northern Brazil](https://scholariq.org/papers/application-of-the-ground-penetrating-radar-gpr-and-electromagnetic-em34-3/)

## Topic primary papers

- [Scanning SQUID microscope system for geological samples: system integration and initial evaluation](https://scholariq.org/papers/scanning-squid-microscope-system-for-geological-samples-system-integration-and/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.