Prediction of soil-bearing capacity on forest roads by statistical approaches
Yazarlar (7)
Prof. Dr. Tuğrul Varol Bartın Üniversitesi, Türkiye
Prof. Dr. Halil Barış Özel Bartın Üniversitesi, Türkiye
Doç. Dr. Mertol Ertuğrul Bartın Üniversitesi, Türkiye
Dr. Öğr. Üyesi Tuna Emir Bartın Üniversitesi, Türkiye
Prof. Dr. Metin Tunay Bartin Üniversitesi, Türkiye
Prof. Dr. Mehmet Çetin Kastamonu Üniversitesi, Türkiye
Prof. Dr. Hakan ŞEVİK Kastamonu Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Environmental Monitoring and Assessment (Q3) | ||
| Dergi ISSN | 0167-6369 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2021 |
| Kabul Tarihi | 22-07-2021 | Yayınlanma Tarihi | 28-07-2021 |
| Cilt / Sayı / Sayfa | 193 / 8 / 1–13 | DOI | 10.1007/s10661-021-09335-0 |
| Makale Linki | http://dx.doi.org/10.1007/s10661-021-09335-0 | ||
| UAK Araştırma Alanları |
Silvikültür
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| Özet |
| The soil-bearing capacity is one of the important criteria in dimensioning the superstructure. In Turkey, predictability of California Bearing Ratio values, which may be used in the planning and dimensioning of forest roads, of which about 26% lacks the superstructure, by using soil mechanical properties (cost and time efficient parameters that are easier to determine) is investigated. Simple linear regression, multiple linear regression, artificial neural networks and adaptive network–based fuzzy inference system methods were utilized. Two hundred sixty-four California Bearing Ratio values obtained from the project carried out on the forest roads of Bartin Forest Operation Directorate were used in both the production of training-test data and the creation of models. Statistical performance of the models was assessed by means of parameters such as root-mean-square error, mean absolute error and R2. The obtained … |
| Anahtar Kelimeler |
| Artificial neural network | Atterberg limits | California Bearing Ratio | Forest road | Network-based fuzzy inference systems |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 34 |
| Scopus | 39 |
| Google Scholar | 57 |