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Imaging the structure and the saltwater intrusion extent of the Luy River coastal aquifer (Binh Thuan, Vietnam) using electrical resistivity tomography

(2021) WATER. 13(13).
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Abstract
With the growing population and the adverse effects of climate change, the pressure on coastal aquifers is increasing, leading to a larger risk of saltwater intrusion (SI). SI is often complex and difficult to characterize from well data only. In this context, electrical resistivity tomography (ERT) can provide high-resolution qualitative information on the lateral and vertical distribution of salinity. However, the quantitative interpretation of ERT remains difficult because of the uncertainty of petrophysical relationships, the limitations of inversion, and the heterogeneity of aquifers. In this contribution, we propose a methodology for the semiquantitative interpretation of ERT when colocated well data are not available. We first use existing wells to identify freshwater zones and characterize the resistivity response of clayey deposits. Then, we approximate the formation factor from water samples collected in the vicinity of ERT data to derive a resistivity threshold to interpret the saline boundary. We applied the methodology in the shallow aquifers of the Luy River in the Binh Thuan province, Vietnam, where water resources are under pressure due to agricultural, aquacultural, and industrial production. Twenty-one ERT profiles were collected and revealed a much larger intrusion zone, compared to the previous study. Saltwater is present in lowland areas of the left bank over almost the whole thickness of the aquifer, while the right bank is constituted of sand dunes that are filled with freshwater. At a larger distance from the sea, a complex distribution between fresh and saltwater is observed. Our methodology could be applied to other heterogeneous aquifers in the absence of a dense monitoring network.
Keywords
saltwater intrusion, aquifer, resistivity, salinity, geophysics, SEAWATER INTRUSION, DC RESISTIVITY, DEPTH, WATER

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MLA
Cong-Thi, Diep, et al. “Imaging the Structure and the Saltwater Intrusion Extent of the Luy River Coastal Aquifer (Binh Thuan, Vietnam) Using Electrical Resistivity Tomography.” WATER, vol. 13, no. 13, 2021, doi:10.3390/w13131743.
APA
Cong-Thi, D., Pham Dieu, L., Thibaut, R., Paepen, M., Ho, H. H., Nguyen, F., & Hermans, T. (2021). Imaging the structure and the saltwater intrusion extent of the Luy River coastal aquifer (Binh Thuan, Vietnam) using electrical resistivity tomography. WATER, 13(13). https://doi.org/10.3390/w13131743
Chicago author-date
Cong-Thi, Diep, Linh Pham Dieu, Robin Thibaut, Marieke Paepen, Huu Hieu Ho, Frédéric Nguyen, and Thomas Hermans. 2021. “Imaging the Structure and the Saltwater Intrusion Extent of the Luy River Coastal Aquifer (Binh Thuan, Vietnam) Using Electrical Resistivity Tomography.” WATER 13 (13). https://doi.org/10.3390/w13131743.
Chicago author-date (all authors)
Cong-Thi, Diep, Linh Pham Dieu, Robin Thibaut, Marieke Paepen, Huu Hieu Ho, Frédéric Nguyen, and Thomas Hermans. 2021. “Imaging the Structure and the Saltwater Intrusion Extent of the Luy River Coastal Aquifer (Binh Thuan, Vietnam) Using Electrical Resistivity Tomography.” WATER 13 (13). doi:10.3390/w13131743.
Vancouver
1.
Cong-Thi D, Pham Dieu L, Thibaut R, Paepen M, Ho HH, Nguyen F, et al. Imaging the structure and the saltwater intrusion extent of the Luy River coastal aquifer (Binh Thuan, Vietnam) using electrical resistivity tomography. WATER. 2021;13(13).
IEEE
[1]
D. Cong-Thi et al., “Imaging the structure and the saltwater intrusion extent of the Luy River coastal aquifer (Binh Thuan, Vietnam) using electrical resistivity tomography,” WATER, vol. 13, no. 13, 2021.
@article{8714233,
  abstract     = {{With the growing population and the adverse effects of climate change, the pressure on coastal aquifers is increasing, leading to a larger risk of saltwater intrusion (SI). SI is often complex and difficult to characterize from well data only. In this context, electrical resistivity tomography (ERT) can provide high-resolution qualitative information on the lateral and vertical distribution of salinity. However, the quantitative interpretation of ERT remains difficult because of the uncertainty of petrophysical relationships, the limitations of inversion, and the heterogeneity of aquifers. In this contribution, we propose a methodology for the semiquantitative interpretation of ERT when colocated well data are not available. We first use existing wells to identify freshwater zones and characterize the resistivity response of clayey deposits. Then, we approximate the formation factor from water samples collected in the vicinity of ERT data to derive a resistivity threshold to interpret the saline boundary. We applied the methodology in the shallow aquifers of the Luy River in the Binh Thuan province, Vietnam, where water resources are under pressure due to agricultural, aquacultural, and industrial production. Twenty-one ERT profiles were collected and revealed a much larger intrusion zone, compared to the previous study. Saltwater is present in lowland areas of the left bank over almost the whole thickness of the aquifer, while the right bank is constituted of sand dunes that are filled with freshwater. At a larger distance from the sea, a complex distribution between fresh and saltwater is observed. Our methodology could be applied to other heterogeneous aquifers in the absence of a dense monitoring network.}},
  articleno    = {{1743}},
  author       = {{Cong-Thi, Diep and Pham Dieu, Linh and Thibaut, Robin and Paepen, Marieke and Ho, Huu Hieu and Nguyen, Frédéric and Hermans, Thomas}},
  issn         = {{2073-4441}},
  journal      = {{WATER}},
  keywords     = {{saltwater intrusion,aquifer,resistivity,salinity,geophysics,SEAWATER INTRUSION,DC RESISTIVITY,DEPTH,WATER}},
  language     = {{eng}},
  number       = {{13}},
  pages        = {{24}},
  title        = {{Imaging the structure and the saltwater intrusion extent of the Luy River coastal aquifer (Binh Thuan, Vietnam) using electrical resistivity tomography}},
  url          = {{http://dx.doi.org/10.3390/w13131743}},
  volume       = {{13}},
  year         = {{2021}},
}

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