Monitoring surface water pollution in Algeria using database indices
This study investigated how remote sensing techniques can pinpoint pollution in surface water areas. Researchers focused on the municipalities of Boumerdes, Corso, and Tidjalabine in Algeria's Boumerdes province. The team used geographic information systems (GIS) to analyse pollution levels and...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2025-01-01
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| Series: | Soil and Water Research |
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| Online Access: | https://swr.agriculturejournals.cz/artkey/swr-202501-0004_monitoring-surface-water-pollution-in-algeria-using-database-indices.php |
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| author | Ouahiba Bouchama Lounes Amar |
| author_facet | Ouahiba Bouchama Lounes Amar |
| author_sort | Ouahiba Bouchama |
| collection | DOAJ |
| description | This study investigated how remote sensing techniques can pinpoint pollution in surface water areas. Researchers focused on the municipalities of Boumerdes, Corso, and Tidjalabine in Algeria's Boumerdes province. The team used geographic information systems (GIS) to analyse pollution levels and their spatial distribution. Specifically, they employed the Normalised Difference Vegetation Index (NDVI) to identify areas teeming with biodiversity and healthy vegetation. Furthermore, the compactness index provided insights into the overall evolution of the drainage network. This data proved invaluable in identifying areas likely impacted by pollution. Our study is part of a scientific approach to detecting, monitoring, and intervening in water pollution. The core objective was to develop an alternate approach to protecting productive farmland and populated areas by mitigating pollution in these susceptible zones. The NDVI and compactness index, along with their associated database, hold significant promise for environmental preservation efforts. This spatial procedure effectively maps the spatial temporal distribution of pollutants, providing targeted management strategies. The method's user-friendly nature makes it easily applicable in other African countries. |
| format | Article |
| id | doaj-art-441a84e9f5404f8b9d74cd3ec7200c1f |
| institution | Kabale University |
| issn | 1801-5395 1805-9384 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Soil and Water Research |
| spelling | doaj-art-441a84e9f5404f8b9d74cd3ec7200c1f2025-01-14T12:45:14ZengCzech Academy of Agricultural SciencesSoil and Water Research1801-53951805-93842025-01-01201435110.17221/83/2024-SWRswr-202501-0004Monitoring surface water pollution in Algeria using database indicesOuahiba Bouchama0Lounes Amar1High Normal School of Bouzareah (ENSB), Algiers, AlgeriaLocal Authority Les Eucalyptus, Algiers, AlgeriaThis study investigated how remote sensing techniques can pinpoint pollution in surface water areas. Researchers focused on the municipalities of Boumerdes, Corso, and Tidjalabine in Algeria's Boumerdes province. The team used geographic information systems (GIS) to analyse pollution levels and their spatial distribution. Specifically, they employed the Normalised Difference Vegetation Index (NDVI) to identify areas teeming with biodiversity and healthy vegetation. Furthermore, the compactness index provided insights into the overall evolution of the drainage network. This data proved invaluable in identifying areas likely impacted by pollution. Our study is part of a scientific approach to detecting, monitoring, and intervening in water pollution. The core objective was to develop an alternate approach to protecting productive farmland and populated areas by mitigating pollution in these susceptible zones. The NDVI and compactness index, along with their associated database, hold significant promise for environmental preservation efforts. This spatial procedure effectively maps the spatial temporal distribution of pollutants, providing targeted management strategies. The method's user-friendly nature makes it easily applicable in other African countries.https://swr.agriculturejournals.cz/artkey/swr-202501-0004_monitoring-surface-water-pollution-in-algeria-using-database-indices.phpgislandsat 8ndvipollutionwater quality assessment system |
| spellingShingle | Ouahiba Bouchama Lounes Amar Monitoring surface water pollution in Algeria using database indices Soil and Water Research gis landsat 8 ndvi pollution water quality assessment system |
| title | Monitoring surface water pollution in Algeria using database indices |
| title_full | Monitoring surface water pollution in Algeria using database indices |
| title_fullStr | Monitoring surface water pollution in Algeria using database indices |
| title_full_unstemmed | Monitoring surface water pollution in Algeria using database indices |
| title_short | Monitoring surface water pollution in Algeria using database indices |
| title_sort | monitoring surface water pollution in algeria using database indices |
| topic | gis landsat 8 ndvi pollution water quality assessment system |
| url | https://swr.agriculturejournals.cz/artkey/swr-202501-0004_monitoring-surface-water-pollution-in-algeria-using-database-indices.php |
| work_keys_str_mv | AT ouahibabouchama monitoringsurfacewaterpollutioninalgeriausingdatabaseindices AT lounesamar monitoringsurfacewaterpollutioninalgeriausingdatabaseindices |