Published in Scientific Papers. Series E. Land Reclamation, Earth Observation & Surveying, Environmental Engineering, Vol. XIV
Written by Loredana COPĂCEAN, Luminiţa COJOCARIU
Floods, rapid and destructive phenomena, significantly impact the environment, including agricultural lands. Geospatial methods for analysis, mapping, and monitoring have been developed over time to identify vulnerable areas. In this context, the present study applies a complex GIS model based on geospatial data, remote sensing data and the Analytic Hierarchy Process (AHP) to determine flood susceptibility in the Nera river basin, located in the southwest of Romania (Caraș-Severin County). The analysis includes nine factors: precipitation, drainage density, elevation, slope, distance to rivers, soils, topography, land use and land cover (LULC) and distance to roads. The results are synthesized into a susceptibility map, classified by risk levels and correlated with LULC to evaluate the impact on agriculture. Theoretically and practically, such models are essential for preventing and managing the effects of floods and for implementing optimal measures in line with sustainable development principles.
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