Geospatial techniques-based analysis of the flood risk vulnerability of Arba Minch City in Southern Ethiopia
Abstract Flood hazard has resulted in the loss of thousands of lives and large-scale damage to properties. This study has explored, analyzed, and categorized the flood hazard and risk levels of Arba Minch City in South Ethiopia by integrating geospatial and Analytical Hierarchy Process techniques. D...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
|
| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06848-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850221837345095680 |
|---|---|
| author | Ashenafi Tilahun Hailie Kenate Worku Tabor Abera Uncha Utalo Abren Gelaw Mekonnen |
| author_facet | Ashenafi Tilahun Hailie Kenate Worku Tabor Abera Uncha Utalo Abren Gelaw Mekonnen |
| author_sort | Ashenafi Tilahun Hailie |
| collection | DOAJ |
| description | Abstract Flood hazard has resulted in the loss of thousands of lives and large-scale damage to properties. This study has explored, analyzed, and categorized the flood hazard and risk levels of Arba Minch City in South Ethiopia by integrating geospatial and Analytical Hierarchy Process techniques. Data were acquired from DEM with 12.5 m resolution, Landsat 8 OLI, ortho-rectified, and surveyed data from the Municipality. Slope, Elevation, Rainfall, Aspect, Curvature, Topographic Wetness Index, Topographic Roughness Index, Drainage Density, Distance from River, Soil Types, Land Use Land Cover, and Population Density parameters were used. Standard classification criteria were set based on literature and experts’ judgment. Data were rasterized, resampled, and reclassified into five classes through the natural break method and readjustment. The flood hazard map was produced using the weighted overlay technique with hazard levels of low (7.39%), moderate (56.13%), and high (36.48%). Whereas, very low and very high remained nil. The flood risk levels were produced ascendingly as 2.4%, 17.3%, 17%, 44%, and 19.4%, respectively. The validity of the model was confirmed by the ROC-AUC Value of 0.923 being fitted with flood damage sites of Shara, Limat, Airport, Agriculture Research Center, Konso Sefer, Ashewamado, Gurba, and Arba Minch University campuses. Slope, elevation, rainfall, aspect and curvature were the top priority flood hazard parameters. The hazard map, population density, and land use land cover inputs have significant weights for flood risks. Thus, the study findings urge that the stakeholders should take integrated and consistent flood risk reduction and management measures. |
| format | Article |
| id | doaj-art-1a360a5ab2a548fdb795e93ee6e6ef53 |
| institution | OA Journals |
| issn | 3004-9261 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Applied Sciences |
| spelling | doaj-art-1a360a5ab2a548fdb795e93ee6e6ef532025-08-20T02:06:35ZengSpringerDiscover Applied Sciences3004-92612025-06-017612010.1007/s42452-025-06848-yGeospatial techniques-based analysis of the flood risk vulnerability of Arba Minch City in Southern EthiopiaAshenafi Tilahun Hailie0Kenate Worku Tabor1Abera Uncha Utalo2Abren Gelaw Mekonnen3Department of Geography and Environmental Studies, Arba Minch University College of Social Sciences and HumanitiesDepartment of Geography and Environmental Studies, Jimma University College of Social Sciences and HumanitiesDepartment of Geography and Environmental Studies, Arba Minch University College of Social Sciences and HumanitiesDepartment of Geography and Environmental Studies, Arba Minch University College of Social Sciences and HumanitiesAbstract Flood hazard has resulted in the loss of thousands of lives and large-scale damage to properties. This study has explored, analyzed, and categorized the flood hazard and risk levels of Arba Minch City in South Ethiopia by integrating geospatial and Analytical Hierarchy Process techniques. Data were acquired from DEM with 12.5 m resolution, Landsat 8 OLI, ortho-rectified, and surveyed data from the Municipality. Slope, Elevation, Rainfall, Aspect, Curvature, Topographic Wetness Index, Topographic Roughness Index, Drainage Density, Distance from River, Soil Types, Land Use Land Cover, and Population Density parameters were used. Standard classification criteria were set based on literature and experts’ judgment. Data were rasterized, resampled, and reclassified into five classes through the natural break method and readjustment. The flood hazard map was produced using the weighted overlay technique with hazard levels of low (7.39%), moderate (56.13%), and high (36.48%). Whereas, very low and very high remained nil. The flood risk levels were produced ascendingly as 2.4%, 17.3%, 17%, 44%, and 19.4%, respectively. The validity of the model was confirmed by the ROC-AUC Value of 0.923 being fitted with flood damage sites of Shara, Limat, Airport, Agriculture Research Center, Konso Sefer, Ashewamado, Gurba, and Arba Minch University campuses. Slope, elevation, rainfall, aspect and curvature were the top priority flood hazard parameters. The hazard map, population density, and land use land cover inputs have significant weights for flood risks. Thus, the study findings urge that the stakeholders should take integrated and consistent flood risk reduction and management measures.https://doi.org/10.1007/s42452-025-06848-yAnalytical hierarchy processArba MinchFlood riskGeospatial techniques |
| spellingShingle | Ashenafi Tilahun Hailie Kenate Worku Tabor Abera Uncha Utalo Abren Gelaw Mekonnen Geospatial techniques-based analysis of the flood risk vulnerability of Arba Minch City in Southern Ethiopia Discover Applied Sciences Analytical hierarchy process Arba Minch Flood risk Geospatial techniques |
| title | Geospatial techniques-based analysis of the flood risk vulnerability of Arba Minch City in Southern Ethiopia |
| title_full | Geospatial techniques-based analysis of the flood risk vulnerability of Arba Minch City in Southern Ethiopia |
| title_fullStr | Geospatial techniques-based analysis of the flood risk vulnerability of Arba Minch City in Southern Ethiopia |
| title_full_unstemmed | Geospatial techniques-based analysis of the flood risk vulnerability of Arba Minch City in Southern Ethiopia |
| title_short | Geospatial techniques-based analysis of the flood risk vulnerability of Arba Minch City in Southern Ethiopia |
| title_sort | geospatial techniques based analysis of the flood risk vulnerability of arba minch city in southern ethiopia |
| topic | Analytical hierarchy process Arba Minch Flood risk Geospatial techniques |
| url | https://doi.org/10.1007/s42452-025-06848-y |
| work_keys_str_mv | AT ashenafitilahunhailie geospatialtechniquesbasedanalysisofthefloodriskvulnerabilityofarbaminchcityinsouthernethiopia AT kenateworkutabor geospatialtechniquesbasedanalysisofthefloodriskvulnerabilityofarbaminchcityinsouthernethiopia AT aberaunchautalo geospatialtechniquesbasedanalysisofthefloodriskvulnerabilityofarbaminchcityinsouthernethiopia AT abrengelawmekonnen geospatialtechniquesbasedanalysisofthefloodriskvulnerabilityofarbaminchcityinsouthernethiopia |