Combined GPR, DC resistivity, and hydrogeochemical data for hydrogeological exploration: a case study at the Red Sea coast

Bedair, Sayed; Abdel-Raouf, Osama; Meneisy, Ahmed M.

doi:10.1007/s12517-021-07039-w

Cited by 2 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, using comprehensive exploration geophysical methods to carry out geological exploration has gradually become the norm (Bedair et al, 2021). The two geophysical methods used in this paper are multichannel analysis of surface waves (MASW) and electrical resistivity tomography (ERT), both have proved to be the efficient methods for landslide research among all geophysical methods, (Loke et al, 2015;Khalil et al, 2017;Marciniak et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Application of geophysical prospecting methods ERT and MASW in the landslide of Daofu County, China

Zhang

Tang

et al. 2023

Front. Earth Sci.

View full text Add to dashboard Cite

Natural disasters such as debris flow caused by earthquakes seriously threaten the local infrastructure and economy, as well as the lives of people in the area. As the material source of debris flow, it has significance to accurately and effectively study the underground structure of the landslide to prevent debris flow disasters. A landslide has a complex structural system, and its underground characteristics play an important role in its stability. The early identification of fracture surfaces and unstable bodies, and assessment of potential hazards are essential for prevention and protection. The research object of this paper is a landslide that occurred in Yige Village, Xianshui Town, Daofu County, which is on the Xianshui River Earthquake Zone, an area subject to frequent earthquakes. In western Sichuan, the frequent occurrence of landslides has caused considerable economic losses. Developing methods for efficient and accurate risk assessment is a top priority. The Daofu landslide is a typical example of a landslide directly threatening the road below and forming a debris flow channel. The lithology is composed of Jurassic sedimentary rocks, such as marl and clay, covered by limestone. In this study, we combined traditional methods (drilling and field investigation) with two geophysical techniques, multichannel analysis of surface waves (MASW) and electrical resistivity tomography (ERT) to effectively determine the electrical characteristics, velocity characteristics and spatial structure of the landslide. It is found that the buried depth of the sliding surface of the landslide is about 16–20 m. The sliding body above the sliding surface forms a low velocity and low resistivity Quaternary cover. The rock mass below the sliding surface is Triassic Zhuwo Formation sandstone and slate with high velocity and high resistivity. According to comprehensive analysis, the landslide lacks sufficient stability under rainstorm. Our study shows that the use of MASW and ERT can quickly and effectively characterize the subsurface of landslides to assess landslide risk and prevent debris flow hazards.

show abstract

Section: Introductionmentioning

confidence: 99%

Application of geophysical prospecting methods ERT and MASW in the landslide of Daofu County, China

Zhang

Tang

et al. 2023

Front. Earth Sci.

View full text Add to dashboard Cite

show abstract

Delineation of lineaments for groundwater prospecting in hard rocks: inferences from remote sensing and geophysical data

Embaby,

Youssef,

Abu El-Magd

2024

Environ Earth Sci

View full text Add to dashboard Cite

Egypt is grappling with water scarcity challenges, which are exacerbated by extensive urban development in arid coastal regions with rugged terrain. Although desalinated water is an alternative source in the remote Halayeib region of Southeast Egypt, its cost increases reliance on groundwater from the intricate aquifers. This study aims to accurately delineate hydro-structural features, known as lineaments, and assess their impact on the groundwater conditions in this promising region. This integrated approach involves the assessment of various spaceborne sensors, including optical (Landsat 8), Digital Elevation Models (ALOS and ASTER-DEMs), and radar (Sentinel-1), using geospatial and geostatistical techniques within the Geographic Information System (GIS). Radar-based sensors, particularly the Sentinel-1A vertical–vertical (S1A VV) polarization, outperform all other datasets in extracting lineaments, yielding 4883 lineaments that correspond to the regional geological faults. These lineaments trend in NE–SW, NNE–SSW, NW–SE, and E-W directions. The results also indicated that both digital elevation models (DEMs) were less effective, showing different orientations with azimuth angles. S1A VV proved to be highly effective in identifying subsurface fractured hard rock terrains beneath thin sedimentary covers, especially in the flat coastal area of Wadi Serimatai, where they intersected natural drainage pathways. Geoelectrical sections confirmed that there are orthogonal subsurface faults extending from fractured basement aquifers to near-surface layers. These faults align with the NE-SW and NNE-SSW directions observed in S1A VV lineaments. Geostatistical analysis revealed that S1A VV structural lineaments, lithological, and hydrogeological factors influence the occurrence of groundwater. This emphasizes the structural control over groundwater and its significant impact on water flow and storage. The study provides valuable insights for groundwater management, guiding decisions related to the development of groundwater resources.

show abstract

Combined GPR, DC resistivity, and hydrogeochemical data for hydrogeological exploration: a case study at the Red Sea coast

Cited by 2 publications

References 15 publications

Application of geophysical prospecting methods ERT and MASW in the landslide of Daofu County, China

Application of geophysical prospecting methods ERT and MASW in the landslide of Daofu County, China

Delineation of lineaments for groundwater prospecting in hard rocks: inferences from remote sensing and geophysical data

Contact Info

Product

Resources

About