Carbon and polymer-based magnetic nanocomposites for oil-spill remediation—a comprehensive review

Environmental Science and Pollution Research - Oil spills are a major contributor to water contamination, which sets off a significant impact on the environment, biodiversity, and economy....     

Role of economic growth and innovative technologies in the outlook of energy and environmental efficiency: a way forward for developing Asian economies

Environmental Science and Pollution Research - Energy consumption is widely regarded as the primary driver of economic development and environmental degradation. The current study examines how...     

Magnetic nanocomposites for sustainable water purification—a comprehensive review

Numerous contaminants in huge amounts are discharged to the environment from various anthropogenic activities. Waterbodies are one of the major receivers of these contaminants. The contaminated water can pose serious threats to humans and animals, by distrubing the ecosystem. In treating the contaminated water, adsorption processes have attained significant maturity due to lower cost, easy operation and environmental friendliness. The adsorption process uses various adsorbent materials and some of emerging adsorbent materials include carbon- and polymer-based magnetic nanocomposites. These hybrid magnetic nanocomposites have attained extensive applications in water treatment technologies due to their magnetic properties as well as combination of unique characteristics of organic and inorganic elements. Carbon- and polymer-related magnetic nanocomposites are more adapted materials for the removal of various kinds of contaminants from waterbodies. These nanocomposites can be produced via different approaches such as filling, pulse-laser irradiation, ball milling, and electro-spinning. This comprehensive review is compiled by reviewing published work of last the latest recent 3 years. The review article extensively focuses on different approaches for producing various carbon- and polymer-based magnetic nanocomposites, their merits and demerits and applications for sustainable water purification. More specifically, use of carbon- and polymer-based magnetic nanocomposites for removal of heavy metal ions and dyes is discussed in detail, critically analyzed and compared with other technologies. In addition, commercial viability in terms of regeneration of adsorbents is also reviewed. Furthermore, the future challenges and prospects in employing magnetic nanocomposites for contaminant removal from various water sources are presented.

     

Faecal and nitrate contamination in the groundwater of Mardan district,Pakistan

Environmental Geochemistry and Health - This study aimed to determine the status of groundwater contamination with faecal coliform and nitrate in the rural areas of Mardan district, Pakistan. Both...     

Effect of the Pretreatment with UV and Gamma Radiations on the Modification of Plywood Surface by Photocuring with Epoxy Acrylate

In order to further improve the physical properties of plywood surface that was pretreated with UV and Gamma radiation at different radiation intensities before photocuring. After pretreatment with radiation the plywood surface was coated with different prepared formulations containing epoxyacrylate (EA-1020) as an oligomer, difunctional monomers such as tripropylene glycol diacrylate (TPGDA), 2-hexadioldiacrylate (HDDA), Ethylene Glycol dimethacrylate (EGDMA) and trifunctional monomer trimethyl propen triacrylate (TMPTA) with photoinitiator Darocur 1664. Thin polymer films were prepared on glass plate with these formulated solutions and cured under UV radiation. Pendulum hardness (PH) and gel content of the film were studied for selecting the formulations as top coat and as base coat. The polished plywood surface was coated with selected formulation and cured under UV radiation. Various rheological properties of UV cured plywood surface such as pendulum hardness, scratch hardness, microgloss, adhesion strength, percentage chipped off area and abrasion resistance were studied.     

Investigation on the effect of impact location height on pedestrian safety using a legform impactor dynamic model

Because of rapid increase in the urban population and hence road traffic, the vehicle–pedestrian crashes are more frequent and have become a major concern in road traffic safety. Though the bumper of a vehicle plays an important role to protect the vehicle body damage in low speed impacts, many bumpers particularly in larger vehicles are too stiff for pedestrian protection and safety. To prevent lower extremity injuries in car–pedestrian collisions, it is important to determine the loadings that car front structures impart on the lower extremities and the mechanisms by which injuries are caused. In the present work, a dynamic legform impactor model is introduced and validated against EEVC/WG17 criteria. The collision mechanism between a GMT bumper and the legform impactor model is investigated numerically using LS-DYNA software. The effect of the height of the impact point of bumper assembly to lower extremity injuries is also investigated. In this paper, it is shown that changing the local stiffness of bumper assembly due to the change in the height of the bumper and distribution of stiffness from upper parts of the bumper assembly to lower parts are the most important parameters in the pedestrian’s leg injuries. As lower extremity injuries are related to the lower bumper height, developing special legform impactors for different countries with different average person height seems essential in investigating the effect of people’s height on lower extremity injuries.     

Nitrogen and plant population change radiation capture and utilization capacity of sunflower in semi-arid environment

The combination of nitrogen and plant population expresses the spatial distribution of crop plants. The spatial distribution influences canopy structure and development, radiation capture, accumulated intercepted radiation (Sa), radiation use efficiency (RUE), and subsequently dry matter production. We hypothesized that the sunflower crop at higher plant populations and nitrogen (N) rates would achieve early canopy cover, capture more radiant energy, utilize radiation energy more efficiently, and ultimately increase economic yield. To investigate the above hypothesis, we examined the influences of leaf area index (LAI) at different plant populations (83,333, 66,666, and 55,555 plants ha^?1) and N rates (90, 120, and 150 kg ha^?1) on radiation interception (Fi), photosynthetically active radiation (PAR) accumulation (Sa), total dry matter (TDM), achene yield (AY), and RUE of sunflower. The experimental work was conducted during 2012 and 2013 on sandy loam soil in Punjab, Pakistan. The sunflower crop captured more than 96% of incident radiant energy (mean of all treatments), 98% with a higher plant population (83,333 plants ha^?1), and 97% with higher N application (150 kg ha^?1) at the fifth harvest (60 days after sowing) during both study years. The plant population of 83,333 plants ha^?1 with 150 kg N ha^?1 ominously promoted crop, RUE, and finally productivity of sunflower (AY and TDM). Sunflower canopy (LAI) showed a very close and strong association with Fi (R ² = 0.99 in both years), PAR (R ² = 0.74 and 0.79 in 2012 and 2013, respectively), TDM (R ² = 0.97 in 2012 and 0.91 in 2013), AY (R ² = 0.95 in both years), RUE for TDM (RUE_TDM) (R ² = 0.63 and 0.71 in 2012 and 2013, respectively), and RUE for AY (RUE_AY) (R ² = 0.88 and 0.87 in 2012 and 2013, respectively). Similarly, AY (R ² = 0.73 in 2012 and 0.79 in 2013) and TDM (R ² = 0.75 in 2012 and 0.84 in 2013) indicated significant dependence on PAR accumulation of sunflower. High temperature during the flowering stage in 2013 shortened the crop maturity duration, which reduced the LAI, leaf area duration (LAD), crop growth rate (CGR), TDM, AY, Fi, Sa, and RUE of sunflower. Our results clearly revealed that RUE was enhanced as plant population and N application rates were increased and biomass assimilation in semi-arid environments varied with radiation capture capacity of sunflower.     

Optimal design of additional sampling pattern for drinking-water quality control

A crucial step in complementary studies of the water quality determination is to design the additional sampling pattern or, in other words, to determine the number and location of the additional samples. Since location and number of samples highly affect decisions’ uncertainties, and because sampling process is quite costly and time-consuming, optimization of the sampling pattern will enhance the efficiency and productivity. Solution of such an optimization problem requires defining an objective function and constraints. There exist many previous studies regarding locating additional samples in other environmental problems wherein the objective function is defined as the minimization of the kriging variance (based on the problem nature), but the point is that kriging variance is not sensitive to local variability. Since manner and extent of small-scale variations are both important and necessary in water quality studies, it is required to resolve this shortcoming of the traditional objective function. Solution is to make use of the combined variance consisting of kriging and local variances. In this study, the applicability and efficiency of the minimization of combined variance as the objective function of the additional sampling was adopted and proved for a salt marsh (east of Iran) on the basis of a simulated annealing-based algorithm. It was shown, practically, that the locational distribution of additional sampling points is quite logical and more compatible with experts’ proposed methods using this objective function (compared to the traditional one).     

Induction of apoptosis and cytokine markers in colon cancer cells by magnesium oxide (MgO) nanoparticles

Magnesium oxide nanoparticles (MgONP) are predominantly utilized in industrial products. This study was undertaken to elucidate the mechanisms underlying toxic effect of MgONP in human colon cancer (HT 29) cells over 48 hr period. Cytotoxicity was evaluated by using MTT and neutral red uptake assays. Data demonstrated that MgONP reduced cell viability in concentration- and time-dependent manner. MgONP induced oxidative stress by decreasing glutathione (GSH) concentrations and elevation of reactive oxygen species (ROS) and lipid peroxidation levels. Increased caspase-3 enzyme activity and greater condensed, damaged chromosome was observed following MgONP exposure in HT 29 cells. The level of interleukin-4 (IL-4), tumor necrosis factor (TNF-α), and DNA fragmentation were significantly higher in MgONP incubated cells. The results showed that MgONP-induced toxicity in HT 29 cells may be mediated through oxidative stress.     

Numerical modelling of the groundwater inflow to an advancing open pit mine: Kolahdarvazeh pit,Central Iran

The groundwater inflow into a mine during its life and after ceasing operations is one of the most important concerns of the mining industry. This paper presents a hydrogeological assessment of the Irankuh Zn-Pb mine at 20 km south of Esfahan and 1 km northeast of Abnil in west-Central Iran. During mine excavation, the upper impervious bed of a confined aquifer was broken and water at high-pressure flowed into an open pit mine associated with the Kolahdarvazeh deposit. The inflow rates were 6.7 and 1.4 m³/s at the maximum and minimum quantities, respectively. Permeability, storage coefficient, thickness and initial head of the fully saturated confined aquifer were 3.5?×?10^?4 m/s, 0.2, 30 m and 60 m, respectively. The hydraulic heads as a function of time were monitored at four observation wells in the vicinity of the pit over 19 weeks and at an observation well near a test well over 21 h. In addition, by measuring the rate of pumping out from the pit sump, at a constant head (usually equal to height of the pit floor), the real inflow rates to the pit were monitored. The main innovations of this work were to make comparison between numerical modelling using a finite element software called SEEP/W and actual data related to inflow and extend the applicability of the numerical model. This model was further used to estimate the hydraulic heads at the observation wells around the pit over 19 weeks during mining operations. Data from a pump-out test and observation wells were used for model calibration and verification. In order to evaluate the model efficiency, the modelling results of inflow quantity and hydraulic heads were compared to those from analytical solutions, as well as the field data. The mean percent error in relation to field data for the inflow quantity was 0.108. It varied between 1.16 and 1.46 for hydraulic head predictions, which are much lower values than the mean percent errors resulted from the analytical solutions (from 1.8 to 5.3 for inflow and from 2.16 to 3.5 for hydraulic head predictions). The analytical solutions underestimated the inflow compared to the numerical model for the time period of 2–19 weeks. The results presented in this paper can be used for developing an effective dewatering program.