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https://hdl.handle.net/20.500.14279/34782| Title: | Flood hazard assessment using HEC-RAS mapping in Garyllis river basin, Cyprus | Authors: | Kountouri, Josefina Sigourou, Stavroula Pagana, Vasiliki Tsouni, Alexia Panagiotou, Constantinos Mettas, Christodoulos Evagorou, Evagoras Kontoes, Charalampos Hadjimitsis, Diofantos |
Major Field of Science: | Natural Sciences | Field Category: | Earth and Related Environmental Sciences | Keywords: | Flood hazard;flood vulnerability;HEC-RAS;Garyllis river basin | Issue Date: | 13-Sep-2024 | Source: | SPIE | Project: | EXCELSIOR: ERATOSTHENES Centre of Excellence for Earth Surveillance and Space-Based Monitoring of the Environment | Journal: | SPIE | Conference: | Tenth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2024), 2024, Paphos, Cyprus | Abstract: | In recent years, there has been a noticeable escalation in both the frequency and severity of flood events around the globe, a situation exacerbated by climate change and human activities. This increasing trend is strongly connected with substantial risks to human lives, property, and cultural heritage, establishing floods among the most catastrophic natural disasters worldwide. This study is motivated by the necessity for effective flood management strategies to mitigate the growing risks. It focuses on assessing the spatial extent of flood events within Garyllis river basin in Cyprus, an area known to be highly susceptible to extreme weather events, being subjected to land use and land cover changes, and economic development. By adopting a comprehensive approach that combines modeling tools and techniques, such as remote sensing, Geographic Information Systems (GIS) and hydraulic modeling, together with multiple types of datasets and field observations, this research assesses flood hazards and projects their potential effects on the basin's residential, agricultural, and village areas. This study utilizes the open-source HEC-RAS software to simulate the spatio-temporal evolution of surface water depths during a hypothetical 24-hour flood event with a 1,000-year recurrence interval, revealing the presence of high-risk regions located at the southern part of the catchment area close to the urban area. The results provide insights for policymakers and urban planners to design effective flood mitigation strategies, aiming to lessen the adverse effects of floods on communities and economic activities. | URI: | https://hdl.handle.net/20.500.14279/34782 | DOI: | https://doi.org/10.1117/12.3037279 | Rights: | CC0 1.0 Universal | Type: | Conference Papers | Affiliation : | ERATOSTHENES Centre of Excellence | Funding: | The authors acknowledge the “EXCELSIOR”: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment H2020 Widespread Teaming project (www.excelsior2020.eu). The “EXCELSIOR” project has received funding from the European Union’s Horizon 2020 Research and Innovation. | Publication Type: | Peer Reviewed |
| Appears in Collections: | EXCELSIOR H2020 Teaming Project Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Flood Hazard ASSESM(3).docx | In recent years, there has been a noticeable escalation in both the frequency and severity of flood events around the globe, a situation exacerbated by climate change and human activities. This increasing trend is strongly connected with substantial risks to human lives, property, and cultural heritage, establishing floods among the most catastrophic natural disasters worldwide. This study is motivated by the necessity for effective flood management strategies to mitigate the growing risks. It focuses on assessing the spatial extent of flood events within Garyllis river basin in Cyprus, an area known to be highly susceptible to extreme weather events, being subjected to land use and land cover changes, and economic development. By adopting a comprehensive approach that combines modeling tools and techniques, such as remote sensing, Geographic Information Systems (GIS) and hydraulic modeling, together with multiple types of datasets and field observations, this research assesses flood hazards and projects their potential effects on the basin's residential, agricultural, and village areas. This study utilizes the open-source HEC-RAS software to simulate the spatio-temporal evolution of surface water depths during a hypothetical 24-hour flood event with a 1,000-year recurrence interval, revealing the presence of high-risk regions located at the southern part of the catchment area close to the urban area. The results provide insights for policymakers and urban planners to design effective flood mitigation strategies, aiming to lessen the adverse effects of floods on communities and economic activities. | 1.9 MB | Microsoft Word XML | View/Open |
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