Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania
Large-scale flood risk assessment is essential in supporting national and global policies, emergency operations and land-use management. The present study proposes a cost-efficient method for the large-scale mapping of direct economic flood damage in data-scarce environments. The proposed framework...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/12/6/1834 |
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| author | Raffaele Albano Caterina Samela Iulia Crăciun Salvatore Manfreda Jan Adamowski Aurelia Sole Åke Sivertun Alexandru Ozunu |
| author_facet | Raffaele Albano Caterina Samela Iulia Crăciun Salvatore Manfreda Jan Adamowski Aurelia Sole Åke Sivertun Alexandru Ozunu |
| author_sort | Raffaele Albano |
| collection | DOAJ |
| description | Large-scale flood risk assessment is essential in supporting national and global policies, emergency operations and land-use management. The present study proposes a cost-efficient method for the large-scale mapping of direct economic flood damage in data-scarce environments. The proposed framework consists of three main stages: (i) deriving a water depth map through a geomorphic method based on a supervised linear binary classification; (ii) generating an exposure land-use map developed from multi-spectral Landsat 8 satellite images using a machine-learning classification algorithm; and (iii) performing a flood damage assessment using a GIS tool, based on the vulnerability (depth–damage) curves method. The proposed integrated method was applied over the entire country of Romania (including minor order basins) for a 100-year return time at 30-m resolution. The results showed how the description of flood risk may especially benefit from the ability of the proposed cost-efficient model to carry out large-scale analyses in data-scarce environments. This approach may help in performing and updating risk assessments and management, taking into account the temporal and spatial changes in hazard, exposure, and vulnerability. |
| first_indexed | 2024-03-10T18:52:42Z |
| format | Article |
| id | doaj.art-cb50f79670dd48caa83e8fb69db89e9d |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T18:52:42Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-cb50f79670dd48caa83e8fb69db89e9d2023-11-20T05:02:03ZengMDPI AGWater2073-44412020-06-01126183410.3390/w12061834Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for RomaniaRaffaele Albano0Caterina Samela1Iulia Crăciun2Salvatore Manfreda3Jan Adamowski4Aurelia Sole5Åke Sivertun6Alexandru Ozunu7School of Engineering, University of Basilicata, 85100 Potenza, ItalyDICAM, University of Bologna, 40136 Bologna, ItalyFaculty of Environmental Science and Engineering, Babes-Bolyai University, 400294 Cluj-Napoca, RomaniaDepartment of Civil, Architectural and Environmental Engineering, University of Naples Federico II, 80125 Naples, ItalyDepartment of Bioresource Engineering, McGill University, Montreal, QC H9X3V9, CanadaSchool of Engineering, University of Basilicata, 85100 Potenza, ItalyResearch Institutes of Sweden RISE, 58183 Linköping, SwedenFaculty of Environmental Science and Engineering, Babes-Bolyai University, 400294 Cluj-Napoca, RomaniaLarge-scale flood risk assessment is essential in supporting national and global policies, emergency operations and land-use management. The present study proposes a cost-efficient method for the large-scale mapping of direct economic flood damage in data-scarce environments. The proposed framework consists of three main stages: (i) deriving a water depth map through a geomorphic method based on a supervised linear binary classification; (ii) generating an exposure land-use map developed from multi-spectral Landsat 8 satellite images using a machine-learning classification algorithm; and (iii) performing a flood damage assessment using a GIS tool, based on the vulnerability (depth–damage) curves method. The proposed integrated method was applied over the entire country of Romania (including minor order basins) for a 100-year return time at 30-m resolution. The results showed how the description of flood risk may especially benefit from the ability of the proposed cost-efficient model to carry out large-scale analyses in data-scarce environments. This approach may help in performing and updating risk assessments and management, taking into account the temporal and spatial changes in hazard, exposure, and vulnerability.https://www.mdpi.com/2073-4441/12/6/1834flood damageflood risklarge scale mappingdata-scarce environmentsdigital elevation modelGFI |
| spellingShingle | Raffaele Albano Caterina Samela Iulia Crăciun Salvatore Manfreda Jan Adamowski Aurelia Sole Åke Sivertun Alexandru Ozunu Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania Water flood damage flood risk large scale mapping data-scarce environments digital elevation model GFI |
| title | Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania |
| title_full | Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania |
| title_fullStr | Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania |
| title_full_unstemmed | Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania |
| title_short | Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania |
| title_sort | large scale flood risk mapping in data scarce environments an application for romania |
| topic | flood damage flood risk large scale mapping data-scarce environments digital elevation model GFI |
| url | https://www.mdpi.com/2073-4441/12/6/1834 |
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