期刊
WATER
卷 14, 期 12, 页码 -出版社
MDPI
DOI: 10.3390/w14121966
关键词
estuaries; hydrodynamics; ensemble; numerical models; extreme events; climate change
资金
- FCT-Foundation for Science and Technology [UIDB/04423/2020, UIDP/04423/2020]
- European Regional Development Fund (ERDF)
- project EsCo-Ensembles [PTDC/ECI-EGC/30877/2017]
- NORTE 2020
- Portugal 2020
- European Union through the ERDF
- FCT
Understanding the effects of climate change on estuaries is crucial for protecting populations and ecosystems. Local studies are needed to investigate the diverse impacts in different regions and develop mitigation strategies. This research used ensemble techniques to improve numerical modeling forecasts for estuaries, taking into account extreme river flow discharges and sea-level rise scenarios.
In the current context of climate change, understanding the effects of the changing conditions on estuaries is of utmost importance to protect populations and ecosystems. Given the diversity of impacts depending on the region, there is a need for local and dedicated studies to understand and mitigate the risks. Numerical models can provide forecasts of extreme floods and sea-level rise (SLR). However, they can present inaccuracies. In this work, the ensemble technique was applied to improve the numerical modeling forecasting for estuaries by considering scenarios of extreme river flow discharges (EFDs) and SLR scenarios for 2050 and 2100. The simulations were performed for two different estuarine regions in northern Portugal, and the superensemble was constructed with the results of two different numerical models. The results differed per estuary, highlighting the importance of a local approach. For the Douro estuary dynamics, the results showed that for the EFD, the effects of the SLR were not noticeable, indicating that, in this estuary, the river component was more important than the maritime component. In contrast, the Minho estuary dynamics were found to be affected by the SLR along the whole estuarine region, indicating a maritime influence and a worsening of the flood conditions for future scenarios.
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