Yazar "Karakaya, Gokhan" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim Yok
    Öğe
    Comprehensive analysis of microplastics in water, sediment and fish from a large recreational lake
    (Academic Press Inc Elsevier Science, 2025) Varol, Memet; Karakaya, Gokhan; Arisoy, Guelden; Celik, Burcu
    While global attention has primarily focused on microplastics (MPs) in marine ecosystems, the issue of MP pollution in recreational lakes has received relatively little attention. In this study, the occurrence, spatial and seasonal distribution and characteristics of microplastics (MPs) were investigated for the first time in Lake Hazar (T & uuml;rkiye), an important recreational lake. Water, sediment and fish (Capoeta umbla) were sampled from the lake in the winter and summer of 2020. Thereafter, the MPs were extracted from the samples using the density separation method. Their abundance, shape, color, and size were determined microscopically, while the polymer types were analyzed using ATR-FTIR. The MPs were detected in all surface water and sediment samples, while they were detected in the gastrointestinal tracts of 28 (35 %) out of 80 fish samples. The abundance of MPs was 74-1091 items/m(3) for the surface water, 88-213 items/kg (ww) for sediments and 0-5 items/fish for C. umbla, respectively. The MP concentrations in water samples from the shore sites were found to be significantly higher than those in limnetic sites (p < 0.05). The most common MP shapes, sizes and colors were fragments, <0.5 mm and white/transparent, respectively. Polyethylene and polypropylene were the most common polymer types, indicating that recreational activities and fishing activities may be the main sources of MPs in the lake. The Pollution Load Index results indicated that MP pollution in the lake's water and sediments was at a moderate level.
  • Küçük Resim Yok
    Öğe
    Water quality assessment of the Karasu River (Turkey) using various indices, multivariate statistics and APCS-MLR model
    (Pergamon-Elsevier Science Ltd, 2022) Varol, Memet; Karakaya, Gokhan; Alpaslan, Kenan
    Determining the water quality status of a river and accurately identifying potential pollution sources threatening the river are pillars in effective control of pollution and sustainable water management. In this study, water quality indices, multivariate statistics and absolute principal component score-multiple linear regression (APCS-MLR) were applied to evaluate the water quality of the Karasu River, the main tributary of the Euphrates River (Turkey). For this, 19 water quality variables were monitored monthly at eight stations along the river during one year. Based on the mean dissolved oxygen (DO), electrical conductivity (EC), nitrate-nitrogen (NO3-N), orthophosphate-phosphorus (PO4-P), total phosphorus (TP), ammonium-nitrogen (NH4-N), chemical oxygen demand (COD) and total nitrogen (TN) levels, most stations of the river had very good water status according to surface water quality criteria. Spatial cluster analysis (CA) divided eight stations into three regions as clean region, moderate clean region and very clean region. The mean values of Nutrient Pollution Index indicated that the river was no polluted. Similarly, Water Quality Index and Organic Pollution Index values indicated that the river water quality was between good and excellent. A minimum water quality index (WQImin) consisted of ten crucial parameters was not significantly different with the WQI based on all the 17 parameters. Discriminant analysis (DA) results showed that water temperature (WT), EC, chlorophyll -a (Chl-a), potassium (K), calcium (Ca), NO3-N and COD are the variables responsible for temporal changes, while WT, total dissolves solids (TDS), Chl-a, K, magnesium (Mg), Ca, NH4-N and COD are the variables responsible for spatial changes in the river water quality. Principal component analysis/factor analysis (PCA/FA) identified four potential sources, including anthropogenic, natural, seasonal and phytoplankton. Source apportionment in the APCS-MLR model revealed that seasonal and anthropogenic sources contributed 35.2% and 25.5% to river water quality parameters, respectively, followed by phytoplankton (21.4%) and natural sources (17.9%).