Simulation of Hydrogeological Environmental Discharge in Case of Interruption Constant Observations




Abstract:
To successfully address a specific problem and draw conclusions in a study area, it's crucial to establish a robust monitorToing network that enables the collection of an adequate amount of data. Often, unexpected circumstances such as changes in conditions at observation sites, instrument malfunctions, and safety concerns are encountered in the field. In such situations, defining correlation links between all observation points becomes extremely important. This correlation allows us the termination of operation utilize data from other observation points to rectify deficiencies and obtain a comprehensive understanding of the situation on the ground, even when some data are missing or certain instruments are damaged. This is essential for proper research management and drawing reliable conclusions.In the study area, the process of discharging the hydrogeological environment in a tunnel under pressured was studied, focusing on the period when the tunnel was out of operation. Due to technical issues, there was a discontinuation of continuous data monitoring at the outlet channel, resulting in a 14-day data gap. However, data analysis from piezometer PP-3 showed a correlation with the data from the outlet channel, enabling the filling of data gaps. These data were used for simulating the discharge of water from the hydrogeological environment

CITATION:

IEEE format

M. Čokorilo Ilić, D. Bajić, M. Popović, “Simulation of Hydrogeological Environmental Discharge in Case of Interruption Constant Observations,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 288-294. doi:10.15308/Sinteza-2024-288-294

APA format

Čokorilo Ilić, M., Bajić, D., Popović, M. (2024). Simulation of Hydrogeological Environmental Discharge in Case of Interruption Constant Observations. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-288-294

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