Spatial Forecasting of Dissolved Oxygen Concentration in the Eastern Black Sea Basin, Turkey
Yazarlar (5)
Karadeniz Teknik Üniversitesi, Türkiye
Karadeniz Teknik Üniversitesi, Türkiye
Bursa Uludağ Üniversitesi, Türkiye
Bursa Teknik Üniversitesi, Türkiye
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | WATER |
| Dergi ISSN | 2073-4441 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q2 |
| Makale Dili | İngilizce |
| Basım Tarihi | 04-2020 |
| Cilt No | 12 |
| Sayı | 4 |
| Sayfalar | 1 / 23 |
| DOI Numarası | 10.3390/w12041041 |
| Makale Linki | https://www.mdpi.com/2073-4441/12/4/1041 |
| Özet |
| The aim of this study was to model, as well as monitor and assess the surface water quality in the Eastern Black Sea (EBS) Basin stream, Turkey. The water-quality indicators monitored monthly for the seven streams were water temperature (WT), pH, total dissolved solids (TDS), and electrical conductivity (EC), as well as luminescent dissolved oxygen (LDO) concentration and saturation. Based on an 18-month data monitoring, the surface water quality variation was spatially and temporally evaluated with reference to the Turkish Surface Water Quality Regulation. First, the teaching–learning based optimization (TLBO) algorithm and conventional regression analysis (CRA) were applied to three different regression forms, i.e., exponential, power, and linear functions, to predict LDO concentrations. Then, the multivariate adaptive regression splines (MARS) method was employed and three performance measures, namely, mean absolute error (MAE), root means square error (RMSE), and Nash Sutcliffe coefficient of efficiency (NSCE) were used to evaluate the performances of the MARS, TLBO, and CRA methods. The monitoring results revealed that all streams showed the same trend in that lower WT values in the winter months resulted in higher LDO concentrations, while higher WT values in summer led to lower LDO concentrations. Similarly, autumn, which presented the higher TDS concentrations brought about higher EC values, while spring, which presented the lower TDS concentrations gave rise to lower EC values. It was concluded that the water quality of the streams in the EBS basin was high-quality water in terms of the parameters … |
| Anahtar Kelimeler |
| dissolved oxygen | Eastern Black Sea Basin | multivariate adaptive regression splines | stream water quality | teaching learning based optimization |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 16 |
| Google Scholar | 25 |