Assessment of the processing and sale of marine fish and its effects on the livelihood of women in Mfantseman Municipality,Ghana

Fish is a key source of protein for many households in Ghana. It is also an essential source of income to many households in the coastal communities of Ghana. The importance of the fisheries sector to the socio-economic development of the country cannot be over emphasised. Women dominate the fishing value chain in Ghana but paradoxically, the study of their activities has not attracted the attention of researchers and policy makers. This study examined the processing and sale of smoked marine fish and its effects on the livelihood of women in Mfantseman Municipality. The survey was conducted in four communities. A sample size of 363 was drawn from women in the industry and institutions whose activities are related to the industry. The data were analysed using quantitative and qualitative methods. Findings from the study revealed that the industry offers employment opportunity for the majority of women in the municipality, and it is an important source of income to them. Further, the industry has potentials for reducing poverty and enhancing economic empowerment of women in the district. However, women in the industry are confronted with challenges which include health risks that erode whatever gains made by them. The study concludes that the municipal assembly must spearhead and provide a conducive environment for this economic activity to flourish as a way of reducing poverty among women in the municipality.     

Thermal and Environmentally Induced Degradation Behaviors of Amorphous and Semicrystalline PLAs Through Rheological Analysis

Journal of Polymers and the Environment - The degradation behaviors of an amorphous and a semicrystalline PLA (i.e., aPLA and cPLA) with similar molecular weights are compared at elevated...     

Remote sensing and GIS-based integrated analysis of land cover change in Duzce plain and its surroundings (north western Turkey)

The aim of this study is to research natural land cover change caused by the permanent effects of human activities in Duzce plain and its surroundings, and to determine the current status of the land cover. For this purpose, two Landsat TM images were used in the study for the years 1987 and 2010. These images are analysed by using data image processing techniques in ERDAS Imagine©10.0 and ArcGIS©10.0 software. Land cover change nomenclature is classified according to the Coordination of Information on the Environment Level 2 Classification (1—urban fabric, 2—industrial, commercial and transport units, 3—heterogeneous agricultural areas, 4—forests, and 5—inland wetlands). Furthermore, the image analysis results are confirmed by the field research. According to the results, a decrease of 33.5 % was recorded in forest areas from 24,840.7 to 16,529.0 ha; an increase of 11.2 % was recorded in heterogeneous agricultural areas from 47,702.7 to 53,051.7 ha. Natural vegetation, which is the large part of land cover in the research area, has been changing rapidly because of rapid urbanisation and agricultural activities. As a result, it is concluded that significant changes have occurred on the natural land cover between the years 1987 and 2010 in the Duzce plain and its surroundings.     

局部湖区两种藻类藻生物量的综合因子预测模型

通过人工模拟系统培养藻类,考察了总氮、总磷、水温、pH、光强、水深等因素与藻生长高峰值之间的关系,提出了一个适用于给水处理厂的短期内局部湖区硅藻和绿藻藻生物量的综合因子预测模型.模型建立了综合因子的概念.在实际水样验证中,当水温为30℃时,模型预测值与实测值之间的平均误差为14.6%;当水温为20℃时,平均误差为19.4%.模型有良好的实用性和可操作性.     

Evaluation of effect of different membership functions on risk assessment

This study aims to define the relationship between risk degrees and risk indexes on different functional structures with the assumption that risk degrees may not always present a linear relationship with the risk indexes. In this way, risk indexes suitable for expert evaluation of working conditions and computed using three different membership functions are determined. Among the membership functions used, one is preferred as linear and the others are preferred as non-linear. Additionally, a new fuzzy risk assessment (RA) algorithm is developed using these three membership functions. With this new fuzzy RA algorithm, a more flexible and precise process becomes available, while information loss during the determination of the risk index of danger sources is prevented. As a result, non-linear increasing membership function is selected as most suitable for the expression of the relationship between risk degrees and risk indexes.     

Does agriculture-induced environmental Kuznets curve exist in developing countries?

Even though the economic growth and the increased agricultural production bring welfare increment, they could also load significant environmental costs to society. This study aims to investigate the existence of agriculture-induced EKC hypothesis in 47 developing countries during 1976–2017 by using dynamic panel data estimators. According to the long-run findings of the DOLS and the FMOLS estimators, there is an inverted U-shaped relationship that exists between income and the CO₂ emissions, while agricultural production has a negative impact on environmental quality. In addition, the PMG estimator is also employed for robustness check. Likewise the DOLS and the FMOLS findings, the long-run results of the PMG estimator also support the existence of agriculture-induced EKC for developing countries. The empirical findings of this study provide stimulus results of policy makers to re-consider their current production infrastructure of agricultural sector to achieve sustainable development.

     

Low-pressure catalytic wet-air oxidation of a high-strength industrial wastewater using Fenton's reagent.

Wastewater from the Afyon Alkaloids Factory (Afyon, Turkey) was subjected to low-pressure catalytic wet-air oxidation (CWAO) using Fenton's reagent, and the optimal reaction conditions were investigated. The CWAO using Fenton's reagent was applied to the factory effluent, diluted factory effluent, and aerobically pretreated wastewater. To find the optimum quantities of reagents, ferrous iron (Fe(+2))-to-substrate ratios of 1:10, 1:25, and 1:50 and hydrogen peroxide (H2O2)-to-Fe(+2) ratios of 1, 5, and 10 were investigated, and the treatment was carried out at different temperatures. High chemical oxygen demand (COD) removals were obtained at 50 degrees C, with the Fe(+2)-to-substrate ratio range between 1:10 and 1:25. The change in H2O2-to-Fe(+2) ratios did not cause any considerable effect. Also, the percentages of COD removals were nearly the same, so the ratio H2O2:Fe(+2):1 is recommended. Aerobic pretreatment seems to be effective. On the other hand, no enhancement was observed in the case of the diluted wastewater.     

Investigating the environmental Kuznets Curve and the role of green energy: Emerging and developed markets

In this study, the validity of the Environmental Kuznets Curve (EKC) hypothesis and the effect of green energy sources to decrease CO₂ emissions are examined for emerging and developed markets from 1990 to 2011 using a pooled mean group (PMG) estimator. Empirical findings of this study suggest that the EKC hypothesis is not confirmed by emerging markets; meanwhile, it is strongly supported by developed markets. The long-run elasticity results of per capita data may also imply a divergence between emerging markets and developed markets regarding CO₂ emissions. On the other hand, the findings of this study indicate that renewable energy sources will play an important role in reducing CO₂ emissions for both panel groups in the long run.