Determination of soil erosion risk using RUSLE model and soil organic carbon loss in Alaca catchment (Central Black Sea region, Turkey)
Yazarlar (2)
Doç. Dr. Ali İMAMOĞLU Nevşehir Hacı Bektaş Veli Üniversitesi, Türkiye
Prof. Dr. Orhan Dengiz Ondokuz Mayıs Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | RENDICONTI LINCEI-SCIENZE FISICHE E NATURALI (Q2) | ||
| Dergi ISSN | 2037-4631 Dergi Bilgileri (2017) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2017 |
| Cilt / Sayı / Sayfa | 28 / 1 / 11–23 | DOI | 10.1007/s12210-016-0556-0 |
| Makale Linki | http://link.springer.com/10.1007/s12210-016-0556-0 | ||
| UAK Araştırma Alanları |
Toprak Coğrafyası
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| Özet |
| Soil erosion is one of the major threats to the conservation of soil and water resources. For that reason, predictive erosion models are useful tools for evaluating soil erosion and developing soil erosion management plans. For this aim, the revised universal soil loss equation (RUSLE) function is a widely used erosion model. This research integrated the RUSLE with a geographic information system (GIS) to investigate the spatial distribution of annual soil loss potential in the Alaca catchment in north central Black Sea region, Turkey. The rainfall erosivity factor was developed from local annual precipitation data using a modified Fournier index; the topographic factor was developed from a digital elevation model; the land cover factor was generated from satellite imagery and forest inventory maps; and the soil organic carbon level and the erodibility factor were developed from systematically collected soil samples and … |
| Anahtar Kelimeler |
| RUSLE | Soil organic carbon | GIS | Alaca Basin |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 44 |
| Google Scholar | 84 |