dc.contributor.author | Premarathne, EMGTGVD | |
dc.contributor.author | Illeperuma, IAKS | |
dc.date.accessioned | 2023-11-03T09:14:30Z | |
dc.date.available | 2023-11-03T09:14:30Z | |
dc.date.issued | 2023-09 | |
dc.identifier.uri | http://ir.kdu.ac.lk/handle/345/6846 | |
dc.description.abstract | Soil erosion is a serious environmental problem that adversely affects ecosystem health
and land productivity. Effective land management and erosion control strategies depend
on accurate assessment and identification of areas vulnerable to soil erosion. To identify
areas prone to erosion, this study focuses on soil erosion assessment using a Geographic
Information System (GIS)-based erosion potential method. The study used different layers
of data including topography data, land cover, soil properties, rainfall and temperature
patterns to estimate the overall erosion potential model. GIS technology facilitated
the integration and analysis of these data layers, enabling a spatially clear assessment
of erosion risk across the study area. The results of the erosion potential assessment
revealed spatial patterns of erosion susceptibility across the study area. It ranges from
0.008 m2
/year to 3.2 m2
/year. Areas with little vegetation and areas with steep slopes
were found to have a higher potential for erosion. On the other hand, areas with abundant
vegetation and gentle slopes showed less potential for erosion. The analysis highlighted
the influence of rainfall and temperature, by emphasizing the importance of considering
climatic factors in erosion assessment. The findings of this research provide valuable
insights for land managers and policymakers in implementing targeted soil conservation
measures. | en_US |
dc.language.iso | en | en_US |
dc.subject | Erosion potential method | en_US |
dc.subject | GIS | en_US |
dc.subject | Soil erosion | en_US |
dc.subject | Victoria Reservoir watershed | en_US |
dc.title | Assessment of Soil Erosion Using GIS Base Erosion Potential Method – A Case Study of Victoria Reservoir Watershed | en_US |
dc.type | Article Abstract | en_US |
dc.identifier.faculty | Faculty of Built Environment and Spatial Sciences | en_US |
dc.identifier.journal | 16th International Research Conference | en_US |
dc.identifier.pgnos | 36 | en_US |