This thesis investigates the geotechnical characterization and monitoring-based assessment of the San Giorgio al Tagliamento levee system. The work combines laboratory classification tests on 61 soil samples collected at different locations and depths (grain-size distribution by sieve and hydrometer analyses, and Atterberg limits) with the analysis of in-situ monitoring data acquired between April 2024 and May 2025. Monitoring records from tensiometers and humidity sensors are first subjected to quality control to identify and handle spikes, resets, flatlines, and out-of-range values, producing cleaned datasets suitable for analysis. Monthly-mean time series are then used to describe seasonal trends and to explore the relationship between sensor response, depth, and location within the levee. The results provide (i) a consistent geotechnical classification framework for the investigated section and (ii) an objective evaluation of sensor reliability, supporting the physical interpretation of soil–water processes and their temporal evolution in the levee.

This thesis investigates the geotechnical characterization and monitoring-based assessment of the San Giorgio al Tagliamento levee system. The work combines laboratory classification tests on 61 soil samples collected at different locations and depths (grain-size distribution by sieve and hydrometer analyses, and Atterberg limits) with the analysis of in-situ monitoring data acquired between April 2024 and May 2025. Monitoring records from tensiometers and humidity sensors are first subjected to quality control to identify and handle spikes, resets, flatlines, and out-of-range values, producing cleaned datasets suitable for analysis. Monthly-mean time series are then used to describe seasonal trends and to explore the relationship between sensor response, depth, and location within the levee. The results provide (i) a consistent geotechnical classification framework for the investigated section and (ii) an objective evaluation of sensor reliability, supporting the physical interpretation of soil–water processes and their temporal evolution in the levee.

Soil Characterization and Sensor Performance Evaluation of a monitored levee section in San Giorgio al Tagliamento

ELSHANAWANY, MAHMOUD ALY HASSAN
2025/2026

Abstract

This thesis investigates the geotechnical characterization and monitoring-based assessment of the San Giorgio al Tagliamento levee system. The work combines laboratory classification tests on 61 soil samples collected at different locations and depths (grain-size distribution by sieve and hydrometer analyses, and Atterberg limits) with the analysis of in-situ monitoring data acquired between April 2024 and May 2025. Monitoring records from tensiometers and humidity sensors are first subjected to quality control to identify and handle spikes, resets, flatlines, and out-of-range values, producing cleaned datasets suitable for analysis. Monthly-mean time series are then used to describe seasonal trends and to explore the relationship between sensor response, depth, and location within the levee. The results provide (i) a consistent geotechnical classification framework for the investigated section and (ii) an objective evaluation of sensor reliability, supporting the physical interpretation of soil–water processes and their temporal evolution in the levee.
2025
Soil Characterization and Sensor Performance Evaluation of a monitored levee section in San Giorgio al Tagliamento
This thesis investigates the geotechnical characterization and monitoring-based assessment of the San Giorgio al Tagliamento levee system. The work combines laboratory classification tests on 61 soil samples collected at different locations and depths (grain-size distribution by sieve and hydrometer analyses, and Atterberg limits) with the analysis of in-situ monitoring data acquired between April 2024 and May 2025. Monitoring records from tensiometers and humidity sensors are first subjected to quality control to identify and handle spikes, resets, flatlines, and out-of-range values, producing cleaned datasets suitable for analysis. Monthly-mean time series are then used to describe seasonal trends and to explore the relationship between sensor response, depth, and location within the levee. The results provide (i) a consistent geotechnical classification framework for the investigated section and (ii) an objective evaluation of sensor reliability, supporting the physical interpretation of soil–water processes and their temporal evolution in the levee.
Levee
Soil properties
Monitoring
In-situ sensors
Data quality control
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/107173