Hakan Sevik
Kastamonu University
119 Papers
200 Citations
Hakan Sevik is an academic researcher from Kastamonu University. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 26, co-authored 79 publications. Previous affiliations of Hakan Sevik include United States Department of Agriculture.
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Papers
Application of artificial neural networks to predict the heavy metal contamination in the Bartin River.
TL;DR: It can be inferred that the heavy metal contents can be estimated approximately with artificial intelligence models and relatively easy-to-measure parameters; it will be possible to detect heavy metals which are harmful to the viability of the rivers, both quickly and economically.
148
Temporal and regional change of some air pollution parameters in Bursa
TL;DR: In this paper, the authors evaluated the air quality based on CO2 amount and amount of particulate matter in 6 different dimensions (0.3-μm, 0.5-mm, 1.0-mm and 2.0 -mm dimensions), and determined the change in sound level on a regional basis depending on the time of day and the season in different areas of Bursa city center.
122
Effects of water stress on seed germination for select landscape plants
Hakan Sevik,Mehmet Cetin +1 more
TL;DR: In this paper, the effect of water stress on the germination rate of the seeds of nine pieces of species used for landscaping works in Kastamonu is investigated, and the authors found that the species most resistant to water stress are Pinus nigra, Cupressus sempervirens, and Pinus brutia.
122
Changes in heavy metal accumulation in some edible landscape plants depending on traffic density.
TL;DR: The results showed that the concentrations of Ni and Co elements increased in many organelles depending on traffic density, and that the heavy metal concentrations in fruits could be very high, indicating that fruit and vegetables grown in industrial zones and urban centers, where heavy metal pollution may be high, can be harmful to the public health if consumed as crops.
114
Determination of changes in heavy metal accumulation depending on plant species, plant organism, and traffic density in some landscape plants
TL;DR: In this paper, the variations of the concentration of Ni, Pb, and Cd elements depending on the traffic density in leaves, seeds, and branches of Ailanthus altissima, Biota orientalis, Platanus orientalises, and Pyracantha coccinea which are grown in areas with heavy, low dense, and non-traffic areas.
110