TY - GEN
T1 - Geostatistical Method Used in Quarry-Type Exploitation Based on Gaussian Simulation to Reduce the Uncertainty of Hydrogeological Values in Surface Mining in Peru
AU - Serrano-Rojas, Rafael
AU - Muñoz-Orosco, Diego
AU - Diaz-Huaina, Guillermo
AU - Raymundo, Carlos
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - In this article the application of a geostatistical method based on Gaussian simulation is studied to reduce the uncertainty of atypical data related to the hydrogeological data of a quarry, for which the data of the hydrogeological model of the impact study was considered as a basis environment of a quarry. This research proposes the application of Gaussian Simulation to identify the data that generate uncertainties in the elaboration of the hydrogeological model; such as the identification of underground aquifer levels. This technique first develops the verification of the hydrogeological data, then identifies the outliers, which will allow a better application of the Gaussian Simulation technique with the Gaussian algorithm to obtain a more reliable hydrogeological model. Finally, it is geostatistically demonstrated that the application of the Gaussian simulation reduced the uncertainty of the hydrogeological model by 20%.
AB - In this article the application of a geostatistical method based on Gaussian simulation is studied to reduce the uncertainty of atypical data related to the hydrogeological data of a quarry, for which the data of the hydrogeological model of the impact study was considered as a basis environment of a quarry. This research proposes the application of Gaussian Simulation to identify the data that generate uncertainties in the elaboration of the hydrogeological model; such as the identification of underground aquifer levels. This technique first develops the verification of the hydrogeological data, then identifies the outliers, which will allow a better application of the Gaussian Simulation technique with the Gaussian algorithm to obtain a more reliable hydrogeological model. Finally, it is geostatistically demonstrated that the application of the Gaussian simulation reduced the uncertainty of the hydrogeological model by 20%.
KW - Gaussian simulation
KW - Hydrogeological model
KW - Hydrogeology
KW - Slope stability
UR - https://www.scopus.com/pages/publications/85115644914
U2 - 10.1007/978-3-030-85540-6_112
DO - 10.1007/978-3-030-85540-6_112
M3 - Contribución a la conferencia
AN - SCOPUS:85115644914
SN - 9783030855390
T3 - Lecture Notes in Networks and Systems
SP - 882
EP - 889
BT - Human Interaction, Emerging Technologies and Future Systems V - Proceedings of the 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and the 6th IHIET
A2 - Ahram, Tareq
A2 - Taiar, Redha
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021
Y2 - 27 August 2021 through 29 August 2021
ER -