The global solar radiation estimation and analysis of solar energy: Case study for Osmaniye,Turkey

This paper investigates the prediction of solar radiation model and actual solar energy in Osmaniye, Turkey. Four models were used to estimate using the parameters of sunshine duration and average temperature. In order to obtain the statistical performance analysis of models, the coefficient of determination (R²), mean absolute percentage error (MAPE), mean absolute bias error (MABE), and root mean square error (RMSE) were used. Results obtained from the linear regression using the parameters of sunshine duration and average temperature showed a good prediction of the monthly average daily global solar radiation on a horizontal surface. In order to obtain solar energy, daily and monthly average solar radiation values were calculated from the five minute average recorded values by using meteorological measuring device. As a result of this measurement, the highest monthly and yearly mean solar radiation values were 698 (April in 2013) and 549 (2014 year) W/m² respectively. On an annual scale the maximum global solar radiation changes from 26.38 MJ/m²/day by June to 19.19 MJ/m²/day by September in 2013. Minimum global solar radiation changes from 14.05 MJ/m²/day by October to 7.20 MJ/m²/day by January in 2013. Yearly average energy potential during the measurement period was 16.53 MJ/m²/day (in 2013). The results show that Osmaniye has a considerable solar energy potential to produce electricity.     

Overview of waste disposal and landfills/dumps in Asian countries

Many cities in developing Asian countries face serious problems in managing solid wastes. The annual waste generation increases in proportion to the rises in population and urbanization. Asian countries with greater rural populations produce more organic waste, such as kitchen wastes, and fewer recyclable items, such as paper, metals, and plastics. Reliable data on solid waste compositions are difficult to obtain, and even if available, they are often not updated. We report the most recent waste composition data in some developing Asian countries. We suggest that a better classification system for landfills is needed to address inconsistencies in data for sanitary landfill sites versus waste dumps. We also discuss the information on waste disposal trends and problems associated with general solid waste management in developing Asian countries.     

Analyzing landscape changes in the Bafa Lake Nature Park of Turkey using remote sensing and landscape structure metrics

Bafa Lake Nature Park is one of Turkey’s most important legally protected areas. This study aimed at analyzing spatial change in the park environment by using object-based classification technique and landscape structure metrics. SPOT 2X (1994) and ASTER (2005) images are the primary research materials. Results show that artificial surfaces, low maqui, garrigue, and moderately high maqui covers have increased and coniferous forests, arable lands, permanent crop, and high maqui covers have decreased; coniferous forest, high maqui, grassland, and saline areas are in a disappearance stage of the land transformation; and the landscape pattern is more fragmented outside the park boundaries. The management actions should support ongoing vegetation regeneration, mitigate transformation of vegetation structure to less dense and discontinuous cover, control the dynamics at the agricultural–natural landscape interface, and concentrate on relatively low but steady increase of artificial surfaces.     

Characterization of SDS-degrading Delftia acidovorans and in situ monitoring of its temporal succession in SDS-contaminated surface waters

Incomplete removal of sodium dodecyl sulfate (SDS) in wastewater treatment plants may result in SDS residues escaping and finding their way into receiving water bodies like rivers, lakes, and sea. Introduction of effective microorganisms into the aerobic treatment facilities can reduce unpleasant by-products and SDS residues. Selecting effective microorganisms for SDS treatment is a big challenge. Current study reports the isolation, identification, and in situ monitoring of an effective SDS-degrading isolate from detergent-polluted river waters. Screening was carried out by the conventional enrichment culture technique and the isolate was tentatively identified by using fatty acid methyl ester and 16S ribosomal RNA (rRNA) sequence analyses. Fatty acids produced by the isolate investigated were assumed as typical for the genus Comamonas. 16S rRNA sequence analysis also confirmed that the isolate had 95 % homology with Delftia acidovorans known as Comamonas or Pseudomonas acidovorans previously. D. acidovorans exhibited optimum growth at SDS concentration of 1 g l^-1 but tolerated up to 10 g l^-1 SDS. 87 % of 1.0 g l^-1 pure SDS was degraded after 11 days of incubation. The temporal succession of D. acidovorans in detergent-polluted river water was also monitored in situ by using Comamonas-specific fluorescein-labeled Cte probe. Being able to degrade SDS and populate in SDS-polluted surface waters, D. acidovorans isolates seem to be very helpful in elimination of SDS.     

Identification and quantitative evaluation of nitrogen-converting organisms in a full-scale leachate treatment plant

The presence of ammonia nitrogen in landfill leachates poses a significant problem for treatment plant operators. The nitrification-denitrification process mostly carries out the nitrogen conversion in biological treatment systems. However, recent research shows that other processes by anaerobic ammonia-oxidizing bacteria (Anammox) and ammonia-oxidizing archaea (AOA) were also responsible for the removal of nitrogen in biological systems. In this study, the nitrogen-converting microorganisms in the Bursa Hamitler Leachate Treatment Plant were identified and monitored by using molecular tools. Fluorescent in situ hybridization (FISH) and slot-blot hybridization results showed that the Nitrosomonas and Nitrospira species were the dominant ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB), respectively. Quantitative real-time PCR results indicated that AOB, NOB, AOA and Anammox bacteria exist in the leachate treatment plant. However, the removal of ammonia can be ascribed mainly to nitrification because AOB (1.5%) and NOB (11.3%) were predominant among all nitrogen-converting bacteria. The results of the phylogenetic analysis based on amoA and 16S rDNA gene revealed that the uncultured bacterium clone 4-24, Kuenenia stuttgartiensis genome fragment KUST_E and the uncultured Crenarchaeota clone NJYPZT-C1 belong to AOB, Anammox and AOA populations, respectively, and were the dominant species in their cluster.     

Factors affecting the removal of aflatoxin M1 from food model by Lactobacillus and Bifidobacterium strains

This paper describes the ability of six dairy strains of Lactobacillus and Bifidobacterium to remove aflatoxin M₁ (AFM₁) from phosphate-buffered saline (PBS) and reconstituted milk. Bacteria were incubated in both PBS and reconstituted milk containing 5, 10 and 20 ng mL^?1 for 0, 4 and 24 h at 37°C. After centrifugation the concentration of AFM₁ was determined in the supernatant fraction using high-performance liquid chromatography. The binding abilities of AFM₁ by viable (10⁸ CFU mL^?1) and heat-killed Lactobacillus and Bifidobacterium strains in PBS ranged from 10.22 to 26.65% and 14.04 to 28.97%, respectively. Similarly, AFM₁-binding capacity in reconstituted milk was found to range from 7.85 to 25.94% and from 12.85 to 27.31% for viable and heat-killed bacteria, respectively within 4 h. While B. bifidum Bb 13 was the best binder, the poorest removal was achieved by L. acidophilus NCC 68. Binding was reversible, and a small proportion of AFM₁ was released back into the solution. The toxin concentration and incubation period had no effect on the removal of AFM₁ by bacteria both in PBS and reconstituted milk.     

Trace element content in marine algae species from the Black Sea, Turkey

Trace element content of marine algae species collected from the Black Sea coasts were determined by atomic absorption spectroscopy after microwave digestion. Trace element content in marine algae species were 1.70-17.1 microg/g for copper, 3.64-64.8 microg/g for zinc, 9.98-285 microg/g for manganese, 99-3,949 microg/g for iron, 0.50-11.6 microg/g for chromium, 0.27-36.2 microg/g for nickel, 11-694 microg/kg for selenium, 0.50-44.6 microg/kg for cadmium, 1.54-3,969 microg/kg for lead, 1.56-81.9 microg/kg for cobalt. While iron was the highest trace element concentration, cadmium was the lowest in samples. Most of the analyzed samples were edible. The samples are consumed for human diet in several countries.     

Soil pollution by trace metals derived from animal feed and manure in the Bursa region of Turkey

The Bursa region of Turkey has important agricultural production areas. Animal producers use agricultural fields in this region for disposal of manure. Therefore, in this study the concentrations of the seven trace metals Zn, Mn, Cu, Ni, Cr, Pb, and Cd in 324 animal feed and manure samples from three dairy cattle, three laying hens farms, and three broiler farms have been determined. The average concentrations in dairy cattle manure were 130 (Zn), 150 (Mn), 4.2 (Cu), 6.8 (Ni), 44 (Cr), 0.8 (Pb), and 0.09 (Cd) mg kg^?1 dry weight; for laying hens manure 240 (Zn), 190 (Mn), 0.63 (Cu), 3.8 (Ni), 30 (Cr), 0.55 (Pb), and 0.12 (Cd) mg kg^?1 dry weight; and for broiler manure 240 (Zn), 280 (Mn), 1.4 (Cu), 3.8 (Ni), 35 (Cr), 3.4 (Pb), and 0.16 (Cd) mg kg^?1 dry weight. The calculated trace metal loading rate indicated that manure application might pose a potential risk to agricultural fields according to the current soil protection regulations of Turkey.