Sürdürülebilir Kalkınma Amaçları
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- MakaleYalnız künye2026Scopus SJRQ2Optimization of native plant selection for phytomining of strategic/critical raw materials using Artificial Bee Colony algorithm
Arslan Topal, E. Işıl; Topal, Murat; Çelik, Erdal; Öbek, Erdal
This study investigates the potential of native plant species (NPs) as secondary sources for strategic/critical raw materials (SCRMs) through phytomining, aiming to identify the most efficient accumulator for sustainable element recovery. To achieve high-precision results, the Artificial Bee Colony (ABC) algorithm, a robust meta-heuristic optimization technique inspired by the foraging behavior of honeybees, was utilized to minimize the error between experimental data and predicted models to optimize the accumulation of key elements including cobalt (Co), strontium (Sr), antimony (Sb), vanadium (V), phosphorus (P), lanthanum (La), magnesium (Mg), titanium (Ti), aluminum (Al), and scandium (Sc). The research focused on three NP species—Musk thistle (MT), curly dock (CD), and Juncus (JS)—collected from a geothermal hot spring area. Methodological validation was performed through comparative statistical analysis and the calculation of bioconcentration factor (BCF) and translocation factor (TF) to assess phytoremediation efficiency. The ABC optimization results revealed that MT exhibited the most significant accumulation capacity, particularly for Mg, reaching a peak concentration of 3,910 mg/kgdw in the leaves. The concentration range (lowest to highest value) was between 0.01 (for La) and 3,910 mg/kgdw for the studied plants. Principal component analysis (PCA) corroborated these findings, explaining cumulative variances of 80.4% (MT), 89.4% (CD), and 76.4% (JS). The innovation of this study lies in the application of the ABC algorithm to the field of phytomining, which offers a more dynamic and flexible alternative to traditional regression-based models. The primary advantage of this proposed method is its superior global search capability and ability to handle multi-elemental interactions with high predictive accuracy. However, a potential disadvantage remains the computational complexity and the requirement for fine-tuning control parameters to ensure consistent convergence. Overall, MT is identified as a highly promising candidate for the phytomining of SCRMs, with Mg emerging as the most effectively accumulated element under the optimized ABC model.
- MakaleAçık Erişim2020Anthropogenic Pollution Assessment of Pertek (Tunceli) Geothermal Field
Balaban, Tugbanur Ozen; Okan, Ozlem Oztekin; Sançar, Taylan; Önal, Ayten Oztufekci
The study area is located in Pertek town in Tunceli province in Eastern Anatolia. The geology of the study area is very important for the geodynamic evolution of the Eastern Taurus. Geological formations in the study area are Paleozoic Keban metamorphics, Upper Cretaceous Harami Formation, Middle-Upper Eocene Kirkgecit Formation, Upper Miocene Karabakir Formation, and Quaternary alluvium, from the oldest to the youngest, respectively. Hydrogeological units were divided into three units in accordance with lithological, structural and hydrogeological properties. The basement of the study area of sandstone, marbles and dolomitic marbles in the Keban metamorphic rocks are highly fractured and karstified and act as the main reservoir in particular for thermal waters in the study area. Kirkgecit and Karabakir Formations occur as barrier rocks in the geothermal area due to impermeable properties. Some levels of limestone units within the Keban metamorphics are aquifers for freshwater. Alluvium is the most important and suitable unit for cold groundwater production. In the study area, streams and rivers flow from southwest to northeast towards Keban Dam Lake. The lake is very important in the region from the point of view of hydroelectric power production, flood control, and irrigation. The thermal and mineral waters generally have high mineral contents. When they are discharged onto the surface, they can cause contamination in surface water, ground water, and of soil. Because of the fact that the water resources in the region are used for drinking and irrigation purposes, the quality of the water is evaluated within the scope of this study. For this reason, water and sediment samples were analyzed for boron, arsenic and other contaminant (Pb, Fe, Sb, Sn and Hg) substances to measure the contamination. The results acquired from the analysis of water samples suggest that concentrations of B, As and Pb in some of the samples exceed the limits of the TSE drinking-water standards(>100 ppb). Fe concentration is 2.16 ppm, Hg and Sb concentrations are also 0.05 ppm. Moreover, some of the sediment samples collected from thermal springs in Singec Creek are contaminated with B, As, Sb, Hg and Pb and other elements sourced from geothermal fluids. In this study, the geochemical evaluation of the presence of B, As, and other contaminants (Pb, Fe, Sb, Sn) derived from geothermal activities within sediment and water in the Pertek Geothermal Field and surrounding area were discussed.
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