# Prediction of erosion and sedimentation rates using SWAT (Soil and Water Assessment Tool) method in the Jenelata Sub Watershed > Wahyuni URL kanonis: https://discover.unhas.ac.id/publications/prediction-of-erosion-and-sedimentation-rates-using-swat-soil-and-water-assessme-1 Jurnal / Konferensi: Iop Conference Series Earth and Environmental Science Tahun terbit: 2021 DOI: https://doi.org/10.1088/1755-1315/886/1/012097 ISSN: 17551307 Citations: 1 ## Authors - Wahyuni ## Abstract Abstract Erosion and sedimentation are problems that often occur in watershed ecosystems. The SWAT model (Soil and Water Assessment Tool) can be used to determine the output of a watershed’s performance. Jenelata sub-watershed area is one of the largest sub-watersheds of the Jeneberang watershed with 22.800 ha. This study aims to determine the spatial distribution of the hydrologic response unit (HRU) and analyze the rate of erosion and sedimentation in the Jenelata sub-watershed. The results showed that most HRUs are in secondary dryland forests with 447 HRU (19.09%). The level of erosion in the very light category, namely 5.74 ton/ha/year (37.53%) and light 34.71 ton/ha/year (27.76%), was in the villages of Moncongloe, Tana Karaeng, Sicini, Paladindang, Towata, Parang Lampoa, Manuju, and Buakkang. Meanwhile, moderate erosion was 104.07 ton/ha/year (23.92%), high 289.65 ton/ha/year (9.59%), and very high 553.74 ton/ha/year (1.20%) located in the villages of Pattallikang, Mangempang, Bontomanai, Bissoloro, Rannaloe, Jenebatu, and Sapaya. The largest sedimentation is 133.18 ton/ha/year in sub-watershed17, located in Bissoloro and Rannaloe villages. ## Keywords - Watershed - Sedimentation - Ton - Hydrology (agriculture) - Erosion - Environmental science - Soil and Water Assessment Tool - Forestry - Geography - Geology - Sediment - Drainage basin - Cartography - Archaeology - Geomorphology - Streamflow - Geotechnical engineering - Machine learning - Computer science --- Sumber: Discover Unhas — RIMS Universitas Hasanuddin. Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.