Robust optimization evaluation of reliance on locally produced foods

While local food production may be beneficial in terms of developing the local economy and reducing greenhouse gases from transportation, sustainability strategies focused on local food production may generate their own risks due to yield variability. We have developed a robust optimization (RO) model to determine the minimum amount of land (cropland and pasture) required to grow food items that would satisfy a local population’s (accounting for gender and age) calorie and nutrient needs. This model has been applied to Boone County, Missouri, which has a population of approximately 170,000. Boone County is 1790 km², with 16% of the land defined as cropland and 30% defined as pasture. The model includes 27 nutrients from 17 potential foods that could be produced: six fruits and vegetables, five grains and six animal-sourced foods. Yield estimates are based on the predominate methods of agriculture in the USA. We first run our model assuming no variability, using the midpoint yield estimates. Then, to quantify uncertainty in yield for different food types, we use historical yield data over 10 years to estimate this variability and run our RO model under these variability estimates. We compare the two model results to illustrate the impact of data uncertainty on meeting sustainable local food for communities. Solutions suggest that nutrition needs can be met for the Boone County population within the land area defined.     

Investigation of heavy metal contaminations in the lower Sakarya river water and sediments

In this work, water and sediment samples were collected from three different stations located along the Sakarya river between May and September 2003. Lead, copper, chromium, zinc, nickel and cadmium concentrations were determined by using solvent extraction and flame atomic absorption spectrometric method. The results show that differences based upon sampling times, regions, sediment and water samples were observed. The mean levels of copper, nickel, chromium, lead, cadmium, zinc for sediment samples are; 4.630 μg g⁻¹, 13.520 μg g⁻¹, 8.780 μg g⁻¹, 2.550 μg g⁻¹, 9.990 μg g⁻¹ and for water samples are; 0.851 μg g⁻¹, 1.050 μg g⁻¹, 0.027 μg g⁻¹, 1.786 μg g⁻¹, 0.236 μg g⁻¹, 0.173 μg g⁻¹, respectively.     

Revisiting the environmental Kuznets curve: evidence from Turkey

Environment, Development and Sustainability - This paper uncovers the link between economic development and environmental degradation in Turkey by employing two distinct methods. We test the...     

Correction to: WEEE closed-loop supply chain network management considering the damage levels of returned products

Environmental Science and Pollution Research - A Correction to this paper has been published: https://doi.org/10.1007/s11356-020-11851-4     

Generalized gene expression programming models for estimating reference evapotranspiration through cross-station assessment and exogenous data supply

Environmental Science and Pollution Research - Adopting methodologies utilizing exogenous data from ancillary stations for determining crop water requirement is a suitable approach to exempt local...     

Land degradation assessment by geo-spatially modeling different soil erodibility equations in a semi-arid catchment

Land degradation by soil erosion is one of the most serious problems and environmental issues in many ecosystems of arid and semi-arid regions. Especially, the disturbed areas have greater soil detachability and transportability capacity. Evaluation of land degradation in terms of soil erodibility, by using geostatistical modeling, is vital to protect and reclaim susceptible areas. Soil erodibility, described as the ability of soils to resist erosion, can be measured either directly under natural or simulated rainfall conditions, or indirectly estimated by empirical regression models. This study compares three empirical equations used to determine the soil erodibility factor of revised universal soil loss equation prediction technology based on their geospatial performances in the semi-arid catchment of the Saraykoy II Irrigation Dam located in Cankiri, Turkey. A total of 311 geo-referenced soil samples were collected with irregular intervals from the top soil layer (0-10?cm). Geostatistical analysis was performed with the point values of each equation to determine its spatial pattern. Results showed that equations that used soil organic matter in combination with the soil particle size better agreed with the variations in land use and topography of the catchment than the one using only the particle size distribution. It is recommended that the equations which dynamically integrate soil intrinsic properties with land use, topography, and its influences on the local microclimates, could be successfully used to geospatially determine sites highly susceptible to water erosion, and therefore, to select the agricultural and bio-engineering control measures needed.     

Testing the environmental Kuznets curve for G7 countries: evidence from a bootstrap panel causality test in rolling windows

Environmental Science and Pollution Research - The Environmental Kuznets Curve hypothesis is a theoretical proposition explicating the link between a locality’s income level and environmental...     

Treatment of textile dyeing wastewater by biomass of Lactobacillus: Lactobacillus 12 and Lactobacillus rhamnosus

The main purpose of this study was to investigate the effectiveness of Lactobacillus 12 and Lactobacillus rhamnosus as both cells and biomasses for the removal of dye from real textile dyeing wastewater. The removal experiments were conducted according to the Box–Behnken experimental design, and the regression equations for the removal of dye were determined by the Minitab 14 program. The optimum variables were found to be 10 g/?L biomass concentration for biomasses, 3 for initial pH of the solution, and 20 °C for temperature with an observed dye removal efficiency of about 60 and 80 % with L. 12 and L. rhamnosus biomasses, respectively. Scanning electron microscopy and Fourier transform infrared spectroscopy images also showed that the biomass characteristics studied were favored by the sorption of the dye from the textile industry wastewater. Consequently, these biomasses may be considered as good biosorbents due to their effective yields and the lower cost of the removal of dyes from the effluents of the textile dyeing house.     

Are low maternal estriol levels a predictor for pro-opiomelanocortin (POMC) deficiency caused by POMC mutation during pregnancy?

Isolated adrenocorticotropic hormone deficiency is a rare cause of adrenocortical insufficiency, especially in children, and may be an underestimated cause of neonatal death. Low estriol levels are usually correlated with compromised uteroplacental perfusion and associated with fetal death. A 30-years old woman applied for pregnancy follow-up. Ultrasonographic evaluation and karyotype of the fetus are normal. Low estriol level 0.34 MoM (% 0.24) was detected in maternal triple screening test. Amniocentesis was performed, and chromosomal disorders, steroid sulfatase deficiency, and Smith–Lemli–Opitz syndrome (SLOS) were excluded with karyotype, fluorescence in situ hybridization (FISH), and molecular analysis of SLOS, respectively. As their first child had pro-opiomelanocortin (POMC) deficiency, POMC gene analysis was performed from both amniotic fluid and ethylene diamine tetra aceticacid (EDTA) blood sample of affected previous child, and homozygote mutation was detected. Fetus is diagnosed as POMC deficiency. We are presenting this case to discuss possible relationship of low maternal E3 levels and fetal POMC deficiency. © 2013 John Wiley & Sons, Ltd.