Internal Cycle of Seminars at IMEDEA (CISI) consist on a cycle of seminar presentations given mainly by doctoral students, masters and junior postdocs, although it is not closed to other staff, such as visitors and staff, that take place every Friday from 12:00 p.m. to 12:30 p.m in the seminar room os IMEDEA.

This represents a great opportunity to learn more about the research carried out at the Institute and to bring those with less experience , the chance of increasing their presentation and public speaking skills. Afterwards, there will be coffee and some biscuits  😉 We strongly encourage you to participate. Join us!

Do you want to participate with a presentation? Please contact the organising team:

Next Seminars

Featured Seminars
05/07/2024
Internal Cycle of Seminars IMEDEA - Francisco Criado- «Mid-Term Beach Monitoring and Shoreline Change Detection: A Case Study of Son Bou Beach, Menorca»
Asbtract Beaches play a crucial role in protecting coastlines from wave energy, acting as the final barrier against coastal erosion. Sandy beaches are particularly susceptible to climate change effects, such as sea level rise and storminess. Understanding the dynamics of these environments amid ongoing changes is essential for designing effective adaptation measures and management strategies. However, the various factors influencing beach morphodynamics, coupled with their dynamic nature, render the integrated monitoring of these areas both resource-intensive and challenging in terms of time, human involvement, and economic resources. Therefore, long-term and high-frequency data-sets, including morphological and wave data, remain scarce in the literature. In this talk, I will present the preliminary results of the analysis of the Son Bou Beach (Menorca, Spain) data-set, with over 13 years (2011-2023) measurements, generated by the Modular Beach Integral Monitoring Systems (MOBIMS) from the Balearic Islands Coastal Observing and Forecasting System (SOCIB). The analysis focuses on characterizing the mid and short-term response of Son Bou beach by means of the shoreline position-change detection. A negative trend in beach width was observed, as well as different responses along the beach. The presence of a coastal lagoon and its opening periods have a significant impact on the beach behavior.

Previous Seminars

Internal Cycle of Seminars IMEDEA - Linus Walter - « Bridging the Gap between Scarse Observation Points: Combining Data and Physics via Machine Learning for Modelling Groundwater Flow »

05/10/2023

Abstract

Geothermal energy is a relevant building block for an environmentally friendly energy economy. The energy is obtained by using hot Groundwater from the (deep) underground of our earth's subsurface. One major challenge for the widespread use of this technology is the characterization of suitable geothermal reservoirs where energy can be extracted.

To address this challenge, we create models that simulate how water flows through underground reservoirs. These models are calibrated with pumping tests from different boreholes. However, drilling testing boreholes is very expensive, which results in a limited of data points for a reservoir model.

Next to traditional physical models, the recently emerging Physics Informed Neural Networks (PINN) offer a promising solution. They incorporate field data while enforcing the accordance with physical laws in the domain of study. Our current results show that our PINN model can forecast the evolution of fluid pressure over space for a heterogeneous rock formation.

 

Link to the video here