Published

2024-02-28

Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review

Estimación geoestadística y simulación en hidrogeología e investigación geotécnica de represas: una revisión

DOI:

https://doi.org/10.15446/esrj.v27n4.104250

Keywords:

Dam hydrogeological features, Geostatistical approaches, Geotechnical research, Hydrogeological conditions, Spatial correlation, Permeability distribution (en)
Características hidrogeológicas de las represas, enfoques geoestadísticos, investigación geotécnica, condiciones hidrogeológicas, correlación espacial, distribución de permeabilidad (es)

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Authors

In dam engineering, the accurate assessment of hydrogeological and geotechnical parameters, including water pressure test (WPT), leakage, permeability, transmissibility, fractures’ distribution, and rock quality designation (RQD) is fundamental for ensuring the safety, longevity, and performance of dam sites. Over the past few years, geostatistical approaches have emerged as valuable tools for estimating and simulating these significant features, offering the potential to reduce errors and minimize study costs. This research reviews the most significant, valid, and efficient research in this field and comprehensively presents the studies’ results. An overview of the hydrogeological features of the dam sites will be presented. Then, the application of geostatistical approaches in each parameter is provided. Also, the strengths and weaknesses of these approaches are studied based on the prevailing conditions of the site. This research proves that geostatistics is an appropriate and efficient tool that can increase the accuracy of studies, reduce errors, and save time and money.

En la ingeniería de represas una evaluación exacta de los parámetros hidrogeológicos y geotécnicos, como el análisis de la presión del agua, vertido, permeabilidad, transmisibilidad, distribución de fracturas, y la designación de calidad de roca, es fundamental para garantizar la seguridad, longevidad y desempeño de las áreas de las represas. En los últimos años, los enfoques geoestadísticos se han posicionado como herramientas útiles para la estimación y simulación de estas características determinantes y ofrecen la posibilidad de reducir los errores y minimizar los costos de estudio. En este trabajo se revisan los estudios más significativos, válidos y eficientes en este campo y se presentan los resultados de los estudios. Se presenta además una revisión de las características hidrogeológicas de las áreas de las represas. Luego se analiza la aplicación de los enfoques geoestadísticos de cada parámetro. También se estudian las fortalezas y debilidades de estos enfoques con base en las condiciones prevalentes del sitio. Este trabajo prueba que la geoestadística es una herramienta eficiente que puede incrementar la exactitud de los estudios, reducir los errores y ahorrar tiempo y dinero.

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How to Cite

APA

Karami, S., Katibeh, H. and Karbala, M. (2024). Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review. Earth Sciences Research Journal, 27(4), 391–402. https://doi.org/10.15446/esrj.v27n4.104250

ACM

[1]
Karami, S., Katibeh, H. and Karbala, M. 2024. Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review. Earth Sciences Research Journal. 27, 4 (Feb. 2024), 391–402. DOI:https://doi.org/10.15446/esrj.v27n4.104250.

ACS

(1)
Karami, S.; Katibeh, H.; Karbala, M. Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review. Earth sci. res. j. 2024, 27, 391-402.

ABNT

KARAMI, S.; KATIBEH, H.; KARBALA, M. Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review. Earth Sciences Research Journal, [S. l.], v. 27, n. 4, p. 391–402, 2024. DOI: 10.15446/esrj.v27n4.104250. Disponível em: https://revistas.unal.edu.co/index.php/esrj/article/view/104250. Acesso em: 16 aug. 2024.

Chicago

Karami, Shawgar, Homayoon Katibeh, and Mohammadamin Karbala. 2024. “Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review”. Earth Sciences Research Journal 27 (4):391-402. https://doi.org/10.15446/esrj.v27n4.104250.

Harvard

Karami, S., Katibeh, H. and Karbala, M. (2024) “Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review”, Earth Sciences Research Journal, 27(4), pp. 391–402. doi: 10.15446/esrj.v27n4.104250.

IEEE

[1]
S. Karami, H. Katibeh, and M. Karbala, “Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review”, Earth sci. res. j., vol. 27, no. 4, pp. 391–402, Feb. 2024.

MLA

Karami, S., H. Katibeh, and M. Karbala. “Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review”. Earth Sciences Research Journal, vol. 27, no. 4, Feb. 2024, pp. 391-02, doi:10.15446/esrj.v27n4.104250.

Turabian

Karami, Shawgar, Homayoon Katibeh, and Mohammadamin Karbala. “Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review”. Earth Sciences Research Journal 27, no. 4 (February 28, 2024): 391–402. Accessed August 16, 2024. https://revistas.unal.edu.co/index.php/esrj/article/view/104250.

Vancouver

1.
Karami S, Katibeh H, Karbala M. Geostatistical Estimation and Simulation in Dam Hydrogeological and Geotechnical Research: A Comprehensive Review. Earth sci. res. j. [Internet]. 2024 Feb. 28 [cited 2024 Aug. 16];27(4):391-402. Available from: https://revistas.unal.edu.co/index.php/esrj/article/view/104250

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