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Classification of soft cliff dynamics using remote sensing and data mining techniques.
Paweł Terefenko1, Andrzej Giza1, Jakub Śledziowski2
1Institute of Marine and Environmental Sciences, University of Szczecin, Mickiewicza 16, 70-383 Szczecin, Poland.
The Science of the Total Environment
|July 14, 2024
Summary
Coastal soft cliffs erode due to marine and subaerial processes, influenced by climate change. Understanding these dynamics is key for effective coastal protection strategies against extreme weather.
Area of Science:
- Earth and Environmental Sciences
- Coastal Geomorphology
- Climate Change Impacts
Background:
- Coastal soft cliffs are dynamic systems influenced by marine and subaerial processes.
- Effective coastal protection requires understanding cliff erosion drivers.
- Climate change necessitates improved predictive models for coastal morphology.
Purpose of the Study:
- To investigate the relationship between soft cliff system morphology changes and driving forces.
- To analyze cliff responses to extreme weather events under climate change.
- To develop a classification system for soft cliff dynamics.
Main Methods:
- Utilized quantitative numerical methods and data mining techniques.
- Extracted morphological indicators from terrestrial laser scanning data.
- Analyzed data from three southern Baltic Sea soft-cliff systems over two winter storm seasons (2016-2018).
Main Results:
- Identified intricate mechanisms governing short-term beach and cliff changes.
- Developed a classification system for soft cliff dynamics.
- Found unique conditional dependencies between erosion and hydrometeorological conditions in each study area.
Conclusions:
- Soft cliff coastlines are vulnerable to extreme water levels and intense precipitation.
- Each coastal system exhibits distinct responses to erosion drivers.
- Findings provide insights for enhanced coastal management and climate change adaptation.
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