A quantitative approach to the traffic air quality problem: the Traffic Air Quality index

The Traffic Air Quality (TAQ) model is a simple tool to estimate traffic fine particulate emissions on roadways (g/km) and can be used for both real-time analysis and for localized conformity analysis ("hot-spot" analysis for nonattainment areas) as defined by 40 CFR 93.123. This paper is a follow-up to a study published earlier regarding the development of the TAQ model. This paper shows how local air quality levels can be a factor in traffic management in nonattainment areas. Similar to the industrial source quotas measured in tons per year, it is proposed that road segments are to be assigned emission quotas (or TAQ indices) measured in pollutant mass emitted per road length (g/km) above which traffic-measures have to be taken to reduce the fine-particulates emissions on such road links. The TAQ model as well as traffic-rerouting measures along with the Intelligent Transportation System (ITS) protocols can be used to have a real-time control of the traffic conditions along expressways to maintain the fine-particulates emissions below the quota assigned per road link and consequently improving the over all local air quality in nonattainment areas.     

Long-term microphytoplankton variability patterns using multivariate analyses: ecological and management implications

Microphytoplankton data along the southern Tunisian coasts have been monitored weekly since 1995. This study used the data collected during the period 2000–2007 to determine the temporal variability patterns and to characterize the geographical structures of microphytoplankton populations. The methodological approach consisted in isolating the temporal variability common to all sampled sites and in analyzing the “residual” site-specific component. Multivariate ordination methods were used to determine the seasonal and interannual variability. The temporal pattern shared by all sites was highlighted and the seasonal cycle of the most frequent phytoplankton communities contrasted the diatoms winter-spring species to the dinoflagellates summer-fall species. Multitable comparison allowed the identification of three areas exhibiting similar phytoplankton population variability. The results, despite the coastal location of sampling sites, indicated that hydrodynamic and geomorphologic properties of the different areas as well as anthropogenic activities play a key role in the structure of the phytoplankton communities.     

Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia

Environmental Science and Pollution Research - Reliable and accurate prediction model capturing the changes in solar radiation is essential in the power generation and renewable carbon-free energy...     

The relationship between corporate social responsibility disclosures and financial performance: a mediating role of employee productivity

This study is trying to explore the relationship between corporate social responsibility (CSR) disclosures and financial performances (FP) through mediating role of the employee productivity (EP). This study classifies the CSR performances into four contexts, for instance, environment social governance (ESG), environmental improvement activity scores of CSR, social welfare activity score, and governance structure improvement score. The banking performance is classified into three different aspects such as returns on assets (ROA), returns on equity (ROE), and nominal interest margin profit (NIMP). The study covers the data set start from 2008 to 2019 regarding thirty commercial banks of China. The study uses the linear, non-linear, and quadratic techniques to explore the association between CSR disclosures and banking performances. The linear model result shows that the governance score is significant influencing the banking performance. Moreover, the employee productivities are also positive significant affecting the baking performances. The non-linear results of model show that composite score of ESG with employee productivity has significant influence on financial performance.

     

Transcriptome analysis of Plantago major as a phytoremediator to identify some genes related to cypermethrin detoxification

Environmental Science and Pollution Research - Cypermethrin (CYP) is a toxic manmade chemical compound belonging to pyrethroid insecticides contaminating the environment. Plantago major (PM) has...     

Seasonal food insecurity in Bangladesh: evidences from northern areas

Seasonal food insecurity in Bangladesh is a multidimensional socioeconomic issue emanated from more than just access and availability of food. In general, it has been considered that the northern areas of Bangladesh, treated as monga-prone, is more vulnerable to seasonal food insecurity as compared to any other region of the country. The manifestation of monga is essentially food insecurity and consequent vulnerabilities. The paper investigates the seasonal food insecurity status, coping strategies along with its possible determinants linked to socioeconomic conditions of the affected households in Kurigram, one of the monga-prone districts of northern Bangladesh. A primary survey was conducted to explore the food insecurity status and diverse factors leading to food insecurity in terms of food consumption, livelihood and consequent family experiences in mitigating the severity of food insecurity during the monga (lean) period. The nature of household food insecurity seems to be an outcome of a variety of risk factors, as well as inability to manage those risks due to income and resource constraints. Moreover, a reduction in food intake during the monga period is one of the common scenarios in the study area. Marginal effects and elasticities after probit regression reveal that household’s income, share of per capita medical expenditure, safety net(s) involvement and the area of residence appear to be the leading factors affecting seasonal food insecurity during the monga period to a significant extent. Households with more medical expenditure (68 %), cultivable landholding (9 %) and households residing by the riverside (4 %) have a higher probability of food insecurity than their counterparts. On the contrary, relatively large size family (-16 %), higher income (-4 %) and safety net coverage (-19 %) have reduced the probability of food insecurity during the monga period. Finally, the paper concludes with some policy issues based on on-site observation and econometric analysis to overcome this transitory food insecurity in the monga-prone areas.     

Value addition in the services sector and its heterogeneous impacts on CO2 emissions: revisiting the EKC hypothesis for the OPEC using panel spatial estimation techniques

Environmental Science and Pollution Research - This study examines the Environmental Kuznets Curve (EKC) hypothesis in the context of 12 members of the OPEC by utilizing data on both the aggregate...     

Classification of in-flight catering wastes in Egypt air flights and its potential as energy source (chemical approach)

Waste to energy conversion is based on the classification of waste. In-flight catering wastes resulting from Egypt Airlines economy class passengers were classified. The solid waste stream generated contains plastic, paper, left-over waste food and aluminum. The type of meal served varies according to the period of flight and so the quantity and content of the waste stream. It was found that the waste generation rate varied from 61.3 to 265 g according to the meal type. Breakfast snack meal generates the highest weight of waste which recorded an average of 265 g. Plastic waste generated varied from 39.6% to 64.6% by weight for the various types of meals served. A total amount of 725 tons were generated annually from organic waste (paper, plastic and food waste) among which a non combustible 39.4 tons of aluminum. The calorific value for each generated item is calculated and the total energy potential reached up to 14.3 TJ annually.     

Influence of preparation method on structural,optical, magnetic,and adsorption properties of nano-NiFe2O4

Nickel ferrite (NiFe₂O₄) nanoparticles are prepared through different routes (microwave, co-precipitation, and pyrolysis) and tested for water purification applications through adsorption removal of an acid red dye B as a model organic pollutant. The characterizations of the prepared samples were done using XRD, FT-IR, SEM, TEM, BET, UV-Vis absorbance, Raman spectrum, and vibrating sample magnetometer (VSM). All samples showed an inverse spinel crystal structure. The obtained results pointed out to the effect of the synthetic route on the morphology, particle size, optical, and magnetic properties of the prepared ferrites. Magnetic measurements showed super-paramagnetic behavior for all samples. The magnetic saturation (M_s) of the sample prepared by pyrolysis, was found to possess the highest saturation value, 34.8 emu/g. Adsorption experiments were performed under the change in several parameters, such as pH, adsorbent dosage, and initial dye concentration. A dye removal percentage of 99% was reached under the optimum state. The isothermal adsorption of the acid red dye was investigated using several models, in which the experimental data could be best described by the Freundlich model. Several kinetic and equilibrium models were inspected by linear regression analysis and showed best fitting for the adsorption data through pseudo-second-order model. The calculated thermodynamic parameters indicated that the adsorption of acid red dye onto all the ferrite samples is a spontaneous and endothermic physical adsorption process.