Julien Govoorts

ORCID: 0009-0003-7086-0620
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About
Contact & Profiles
Research Areas
  • Geophysics and Sensor Technology
  • Seismic Waves and Analysis
  • Urban Heat Island Mitigation
  • Impact of Light on Environment and Health
  • Advanced Fiber Optic Sensors
  • Cryospheric studies and observations
  • Oceanographic and Atmospheric Processes
  • Land Use and Ecosystem Services
  • Methane Hydrates and Related Phenomena
  • Underwater Acoustics Research

Royal Observatory of Belgium
2024

University of Mons
2024

Université Libre de Bruxelles
2023

In urban environments, shallow geothermal heating and cooling systems can play a crucial role in the transition towards renewable energy sources. One such site (USquare) is transformed military barracks Brussels, where over one hundred boreholes were drilled (~120 m) equipped with heat exchangers as part of low-enthalpy network for multi-use development project. Fourteen these fiber optic cables that provide continuous temporal monitoring downhole conditions during operation. This includes...

10.5194/egusphere-egu25-19285 preprint EN 2025-03-15

This study demonstrates how the sounds of subaqueous gas seeps can be used to measure volume volcanic being released into an active crater lake, weeks before eruptive period. A hydrophone placed in Poás lake recorded changes soundscape over course one month. Using new passive acoustic inversion techniques, we were able from lakebed at a sample rate 5 min, far higher than traditional sub aerial sampling techniques. Comparing these findings local seismic measurements allowed us observe...

10.30909/vol/bzas2042 article EN cc-by Volcanica 2025-04-15

This research aims at assessing the potential of an semi-unsupervised approach to create labeled samples for predicting deprivation probability 100x100m. We compare Machine Learning (ML) and Deep approaches (DL) with a combination Sentinel-1 (S1) Sentinel-2 (S2) data. Our results confirm that propose creating labelled using semi-supervised method works. The best performance is achieve by ML combining S2 S1 data reach overall accuracy 95.34%.

10.1109/jurse57346.2023.10144169 article EN 2023-05-17

Estimations of bedrock topography below glaciers and ice thickness are vital for quantifying freshwater availability surrounding populations understanding the contribution melting to sea-level rise in context global warming. While active seismology is commonly used estimation, utilization passive methods remains relatively rare. Passive solutions offer cost-effectiveness, non-invasiveness continuous monitoring capabilities that present valuable benefits glaciological research. Over past two...

10.5194/egusphere-egu24-10814 preprint EN 2024-03-08

An in-depth knowledge of local geology and temperature gradient around wellbores is essential in order to characterize understand geothermal systems. Fiber-optic sensing allows for the measurement strain with high spatial temporal resolution. For downhole applications, deployment relatively easy does not interfere production, making fiber-optic based technologies attractive monitoring operations. We aim demonstrate potential distributed (DSS) fiber Bragg grating sensors (FBGs) monitor energy...

10.5194/egusphere-gc12-fibreoptic-78 preprint EN 2024-05-06
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