Evaluation of geoelectrical models efficiency for coastal seawater intrusion by applying uncertainty analysis
(2021) In Journal of Hydrology 603.- Abstract
Seawater intrusion (SWI) is one of the most important phenomena which occurs in shorelines and islands and affects groundwater storage in the region. This study aims to investigate how far seawater has intruded in a coastal area and what is its extent variation. The results can lead to different management plans. To achieve these goals, a geoelectrical method is applied in the coastal aquifer of Chaouia, Morocco. In order to choose the best inversion process, different settings are applied in two different software packages namely RES2DINV and BERT and the results are compared using the Taylor diagram. Also, to determine the minimum and maximum SWI extent in the region, a new approach of uncertainty analysis is applied in the inversion... (More)
Seawater intrusion (SWI) is one of the most important phenomena which occurs in shorelines and islands and affects groundwater storage in the region. This study aims to investigate how far seawater has intruded in a coastal area and what is its extent variation. The results can lead to different management plans. To achieve these goals, a geoelectrical method is applied in the coastal aquifer of Chaouia, Morocco. In order to choose the best inversion process, different settings are applied in two different software packages namely RES2DINV and BERT and the results are compared using the Taylor diagram. Also, to determine the minimum and maximum SWI extent in the region, a new approach of uncertainty analysis is applied in the inversion process by the Monte Carlo method. The general results indicate that the seawater has intruded about 2 km into the shore. The obtained results show that by considering uncertainty, there is a sensible difference between the maximum and minimum extent of SWI (maximum 9% variation in the area of SWI) which should be noted when doing water research management studies. The methodology procedure in this study can be applied to different coastal areas around the world.
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- author
- Zeynolabedin, Amin ; Ghiassi, Reza ; Norooz, Reyhaneh LU ; Najib, Saliha and Fadili, Ahmed
- organization
- publishing date
- 2021-12-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Chaouia, Electrical resistivity tomography, Monte Carlo, Seawater intrusion, Taylor diagram, Uncertainty analysis
- in
- Journal of Hydrology
- volume
- 603
- article number
- 127086
- publisher
- Elsevier
- external identifiers
-
- scopus:85118342878
- ISSN
- 0022-1694
- DOI
- 10.1016/j.jhydrol.2021.127086
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2021 Elsevier B.V.
- id
- 3dcab2c6-8668-4d6e-9d5e-31d47c7263ae
- date added to LUP
- 2021-11-24 09:34:20
- date last changed
- 2022-04-27 06:05:42
@article{3dcab2c6-8668-4d6e-9d5e-31d47c7263ae,
abstract = {{<p>Seawater intrusion (SWI) is one of the most important phenomena which occurs in shorelines and islands and affects groundwater storage in the region. This study aims to investigate how far seawater has intruded in a coastal area and what is its extent variation. The results can lead to different management plans. To achieve these goals, a geoelectrical method is applied in the coastal aquifer of Chaouia, Morocco. In order to choose the best inversion process, different settings are applied in two different software packages namely RES2DINV and BERT and the results are compared using the Taylor diagram. Also, to determine the minimum and maximum SWI extent in the region, a new approach of uncertainty analysis is applied in the inversion process by the Monte Carlo method. The general results indicate that the seawater has intruded about 2 km into the shore. The obtained results show that by considering uncertainty, there is a sensible difference between the maximum and minimum extent of SWI (maximum 9% variation in the area of SWI) which should be noted when doing water research management studies. The methodology procedure in this study can be applied to different coastal areas around the world.</p>}},
author = {{Zeynolabedin, Amin and Ghiassi, Reza and Norooz, Reyhaneh and Najib, Saliha and Fadili, Ahmed}},
issn = {{0022-1694}},
keywords = {{Chaouia; Electrical resistivity tomography; Monte Carlo; Seawater intrusion; Taylor diagram; Uncertainty analysis}},
language = {{eng}},
month = {{12}},
publisher = {{Elsevier}},
series = {{Journal of Hydrology}},
title = {{Evaluation of geoelectrical models efficiency for coastal seawater intrusion by applying uncertainty analysis}},
url = {{http://dx.doi.org/10.1016/j.jhydrol.2021.127086}},
doi = {{10.1016/j.jhydrol.2021.127086}},
volume = {{603}},
year = {{2021}},
}