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Webinar within the Resilience Catalyst Talks on February 17, 2025.

by mmikos@fgg.uni-lj.si | Feb 6, 2025 | Higher Education News, Sustainable Development News, Water-related News

All of you are cordially invited to another webinar within the series of Resilience Catalyst Talks, given by the UNESCO Chair on Water-related Disaster Risk Reduction, University of Ljubljana, on February 17, 2025 as on-line event. Mora about the event is given in a...

Global Platform for Disaster Risk Reduction (GP2025) to be held in Geneva, Switzerland – 2 to 6 June 2025.

by mmikos@fgg.uni-lj.si | Feb 3, 2025 | Higher Education News, Sustainable Development News, Water-related News

Registration for the eighth session of the Global Platform for Disaster Risk Reduction (GP2025) is now open. GP2025 will be convened by UNDRR and hosted by Switzerland in Geneva, Switzerland, from 2 to 6 June 2025.  For an overview of planned sessions, please consult...

Paper published in the journal UJMA on “1st International HydRoData Summer School for students on data in hydrology”.

by mmikos@fgg.uni-lj.si | Jan 24, 2025 | Publications

An open access paper was published in the journal UJMA: Kuzmanić T et al. (2024) Prva izvedba mednarodne poletne šole HydRoData za študente o podatkih v hidrologiji = 1st International HydRoData Summer School for students on data in hydrology. UJMA, 38, 385-391....

Paper published in the journal UJMA on “Only safe dams serve their purpose and environment”.

by mmikos@fgg.uni-lj.si | Jan 24, 2025 | Publications

An open access paper was published in the journal UJMA: Humar N, Kryžanowski A, Mikoš M (2024) Le varne pregrade služijo svojemu namenu in okolju = Only safe dams serve their purpose and environment”, UJMA, 38, 284-300,...

Paper published in the journal Water Resources Management on “Using Machine Learning to Predict Suspended Sediment Transport under Climate Change”.

by mmikos@fgg.uni-lj.si | Jan 23, 2025 | Publications

An open access paper was published by Bezak N, Lebar K, Bai Y, Rusjan S (2025) Using Machine Learning to Predict Suspended Sediment Transport under Climate Change. Water Resources Management (2025). https://doi.org/10.1007/s11269-025-04108-7. Article pdf is available...
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