ADSORPTIVE REMOVAL OF FIVE HEAVY METALS FROM WATER USING BLAST FURNACE SLAG AND FLY ASH

Heavy metals can be serious pollutants of natural water bodies causing health risks to humans and aquatic organisms. A study was conducted to remove five heavy metals from water by adsorption onto an iron blast furnace slag and a fly ash in batch experiments. Increase of pH increased adsorption of all metals. Equilibrium adsorption of all metals was successfully modelled using Langmuir, Freundlich and Dubinin-Radushkevich models, with Freundlich model fitting the data the best. Langmuir adsorption maximum at pH 6.5 for fly ash ranged 3.4 - 5.1 mg/g with the adsorption capacity for the metals in the order, Pb Cu Cd, Zn, Cr. The corresponding values for furnace slag were 4.3 - 5.2 mg/g, and the order of adsorption capacities, Pb, Cu, Cd Cr Zn. The kinetics of adsorption fitted well to both the pseudo-first order and pseudo-second order models, but the fit was slightly better for the pseudo-second order model

Pollutants in road-deposited sediments : characteristics, mobility, bioavailability and remediation

University of Technology Sydney. Faculty of Engineering and Information Technology.Rapid urbanization and associated ever-increasing motor-traffic density have led to escalating amounts of pollution along road-ways in the form of aerosols and road-deposited sediments (RDS) in many parts of the world. RDS contain many pollutants such as heavy metals, metalloids and polycyclic aromatic hydrocarbons (PAHs) which are derived from vehicle exhaust emissions, vehicle tyres, brakes, body frames, asphalt road surfaces, deicing salt, paint markers, and pesticides and herbicides added to the pavement. During heavy rain, these pollutants are washed into stormwater and transported into natural water bodies and this can cause potentially toxicity to aquatic organisms. Road-deposited sediments (RDS), water baseline sediments (WBS) and baseline soil (BLS) samples from major urban roads in Kogarah Bay area, Sydney, were analyzed for several heavy metals/metalloids and polycyclic aromatic hydrocarbons (PAHs). RDS had elevated concentrations of Pb, Cd, Cu, Cr, Ni, Zn, Fe and PAHs. Both correlation and principal component analysis showed that Zn, Cu, Cr, and Sb in RDS probably originated from vehicle brakes and tyre wear while V originated mainly from road asphalt surface. The heavy metal concentrations were similar in WBS and BLS. Heavy metal fractionation data showed that potential mobility, an indication of their transportation by stormwater, decreased in the order Fe > Mn, Zn > Cu, Pb > Cr, Ni, V, Cd, Sb. Ecological risk as assessed by ISQG (Interim Sediment Quality Guidelines) and the method developed by Hakanson (1980) was low to medium in RDS and low in BLS and WBS. Of the heavy metals in RDS, Cu had the highest potential risk, whereas Zn had the lowest. The concentrations of sixteen polycyclic aromatic hydrocarbons (PAH mg/kg) in the RDS, WBS and BLS ranged from 0.40 to 7.49 (mean 2.80), 1.65 to 4.00 (mean 2.91), and 0.46 to 1.41 (mean 0.84), respectively. PAH compounds had higher concentrations of high molecular weight compounds with three or more fused benzene rings indicating that high temperature combustion processes were their predominant sources. The proportions of high molecular weight PAHs were higher in BLS than in RDS, whereas the low molecular weight PAHs were higher in RDS. All PAH compounds were observed to be the lowest in WBS. All PAHs (except naphthalene) were significantly correlated in BLS suggesting a common PAH source. The ratios of individual diagnostic PAHs showed that the primary source of PAHs in WBS and BLS was pyrogenic (combustion of petroleum (vehicle exhaust), grass, and wood) and in RDS was petrogenic (unburned or leaked fuel and oil, road asphalt) as well as pyrogenic. The potential toxicities of PAHs calculated using toxicity equivalent quotients were all low but higher for BLS than for WBS and RDS. This study also investigated the toxic effects of RDS and BLS in a range of bioassays, using water elutriates of sediments from different sites to simulate contaminated receiving waters, and solvent extracts to represent the total contaminant levels. Chemical analyses showed that the total concentrations of metals and PAHs in the RDS were above sediment quality guidelines, and were higher in the finer size fractions. Metal and PAH levels in the BLS were well below guideline levels. To establish baseline toxicity data, acute Artemia nauplii tests were carried out with putatively identified compounds (heavy metals and PAHs identified from chemical analyses of similar sediments in Sydney), spiked into aqueous solutions and elutriates. In these tests, low molecular weight PAHs showed greater toxicity than high molecular weight PAHs. For both metals and PAHs, the toxicity was significantly higher when they were tested in clean water than in elutriates. However, neither RDS nor BLS elutriates caused any toxicity in a 24-hour acute test with Artemia nauplii. In the Microtox® assay, both RDS and BLS elutriates showed some toxicity; RDS samples were more toxic than the BLS, but there was no significant difference between size fractions. The response patterns in the Microtox® assays suggested effects from both heavy metals and organic compounds. The AhR CAFLUX bioassay, which is sensitive to dioxin-like compounds including PAHs, showed relatively lower activity in solvent extracts of RDS, with slightly higher activity in the finer fractions of the sediment. There was no detectable AhR CAFLUX activity in BLS. The p53 GeneBLAzer® assay, a measure of genotoxicity, showed no effect from any elutriates or solvent extracts of RDS or BLS. The results indicate that the RDS presents a greater hazard than the BLS, particularly in the finer size fractions. Accumulation of RDS in estuarine sediment may pose a risk to benthic organisms, especially those that feed on and in the sediments. Iron coated zeolite (ICZ) was synthesized by adding natural zeolite in an iron nitrate solution under strongly basic conditions. ICZ was found to adsorb significantly larger amounts of heavy metals than zeolite, because of thespecific adsorption of metals by the iron on the zeolite surface. The batch adsorption was satisfactorily explained using the Langmuir isotherm while the column adsorption data fitted reasonably well to the empirical Thomas model. Desorption of metals previously adsorbed on zeolite and ICZ columns by elution with 0.1 M HCl removed 62–90% and 58–85% of adsorbed metals in the first and second cycles of adsorption/desorption, respectively. Although the regeneration of ICZ reduced the adsorption capacity, partly because of the iron coatings being dissolved, the adsorption capacity of the regenerated ICZ was still higher than that of the original zeolite. In summary, the batch and fixed-column experimental results showed that ICZ is a potential adsorbent for removing heavy metals from aqueous solutions. Industrial low-cost by-products such as blast furnace slag and fly ash were used to remove five heavy metals from water in batch and fixed bed column experiments. Increase of pH increased adsorption of all metals. Equilibrium adsorption of all metals was successfully modeled using Langmuir, Freundlich and Dubinin-Radushkevich models, with Freundlich model fitting the data the best. Langmuir adsorption maximum at pH 6.5 for fly ash ranged 3.4 - 5.1 mg/g with the adsorption capacity for the metals in the order, Pb > Cu > Cd, Zn, Cr. The corresponding values for furnace slag were 4.3 - 5.2 mg/g, and the order of adsorption capacities, Pb, Cu, Cd > Cr > Zn. The kinetics of adsorption fitted well to both the pseudo-first order and pseudo-second order models, but the fit was slightly better for the pseudo-second order model. The column experiments of furnace slags indicated that column process can be used for treating of waters containing a single heavy metal as well as for removal of mixtures of heavy metals. The effectiveness of the fixed bed columns with respect to heavy metal ions agreed well with the batch experiment. The mechanism of heavy metal removal may include ion exchange/adsorption and surface precipitation on the adsorbent

Static and Dynamic Analysis of Piezoelectric Laminated Composite Beams and Plates

In this chapter, the mechanical behavior analysis of piezoelectric laminated composite beams and plates is influenced subjected to static, dynamic, and aerodynamic loads. Algorithm for dynamic, stability problem analysis and vibration control of laminated composite beams and plates with piezoelectric layers is presented. In addition, numerical calculations, considering the effect of factors on static, dynamic, and stability response of piezoelectric laminated composite beams and plates are also clearly presented. The content of this chapter can equip readers with the knowledge used to calculate the static, dynamic, and vibration control of composite beams, panels made of piezoelectric layers applied in the field different techniques

A lossless online Bayesian classifier.

We are living in a world progressively driven by data. Besides the issue that big data cannot be entirely stored in the main memory as required by traditional offline learning methods, the problem of learning data that can only be collected over time is also very prevalent. Consequently, there is a need of online methods which can handle sequentially arriving data and offer the same accuracy as offline methods. In this paper, we introduce a new lossless online Bayesian-based classifier which uses the arriving data in a 1-by-1 manner and discards each data right after use. The lossless property of our proposed method guarantees that it can reach the same prediction performance as its offline counterpart regardless of the incremental training order. Experimental results demonstrate its superior performance over many well-known state-of-the-art online learning methods in the literature

Exploiting Idioms and Proverbs of Vietnamese Regions in Teaching Mathematics in Primary Schools

Mathematics and idioms, as well as proverbs, all reflect the laws of life. At the same time, primary school children may have heard idioms and proverbs before attending school. Therefore, there are many possibilities to exploit and apply idioms and proverbs in teaching mathematics in primary schools. This study aims to identify appropriate situations and apply idioms and proverbs in different regions of Vietnam to teaching mathematics. The researchers selected 1155 expressions related to mathematics from many typical pieces of research on idioms and proverbs in Vietnam. After surveying 1822 teachers three times in many provinces and cities in all 3 regions of Vietnam: the North, the Central and the South, the researchers have classified the data according to the criteria from closed to open-ended questions. The results show a prominent level of interest (level 4/5) of all teachers participating in the survey, and there is no difference in the effectiveness in the three regions, but there is a clear difference in regions in using idioms and proverbs. Particularly, identifying situations to teach geometric and quantitative knowledge, as well as probability and statistics, allows one to apply idioms and proverbs at a high level. It is concluded that if idioms and proverbs from Vietnamese regions are appropriately selected and applied in teaching mathematics in primary schools, they will contribute to improving students' mathematical ability and preserving the national cultural heritage. Doi: 10.28991/ESJ-2022-SIED-015 Full Text: PD

Factors affecting to digital skills and adaptability of students in the context of digital transformation at the Ho Chi Minh city University of Technology and Education

The article focuses on analyzing the factors affecting students' digital skills and adaptability in the context of digital transformation. The study identified influencing factors: Environment, Behavior, Individuals, Teachers, Time of use, and access. However, the results of an online survey of 1.282 students of the Ho Chi Minh City University of Technology and Education (HCMUTE) with Cronbach's Alpha test method, EFA analysis, correlations, and regression analysis, showed that there are 3/5 factors identified in the hypothesis that affect digital skills and adaptability of HCMUTE students in the context of digital transformation, specifically: behavior (Beta = 0.177, Sig. = 0.000); individuals (Beta = 0.181, Sig. = 0.027); teacher (Beta = 0.547, Sig. = 0.000). Besides, the environment does not affect digital skills and adaptability (KNSKNTU) due to Beta = 0.017 and Sig.=0.384>0.05. Sig does not involve usage and access time factors. >0.05 in the table Correlations not be further analyzed in the regression model. The research results are expected to help provide a more objective view of the reality of digital adoption and student adaptability in the digital transformation context at HCMUTE

Factors affecting to digital skills and adaptability of students in the context of digital transformation at the Ho Chi Minh city University of Technology and Education

The article focuses on analyzing the factors affecting students' digital skills and adaptability in the context of digital transformation. The study identified influencing factors: Environment, Behavior, Individuals, Teachers, Time of use, and access. However, the results of an online survey of 1.282 students of the Ho Chi Minh City University of Technology and Education (HCMUTE) with Cronbach's Alpha test method, EFA analysis, correlations, and regression analysis, showed that there are 3/5 factors identified in the hypothesis that affect digital skills and adaptability of HCMUTE students in the context of digital transformation, specifically: behavior (Beta = 0.177, Sig. = 0.000); individuals (Beta = 0.181, Sig. = 0.027); teacher (Beta = 0.547, Sig. = 0.000). Besides, the environment does not affect digital skills and adaptability (KNSKNTU) due to Beta = 0.017 and Sig.=0.384>0.05. Sig does not involve usage and access time factors. >0.05 in the table Correlations not be further analyzed in the regression model. The research results are expected to help provide a more objective view of the reality of digital adoption and student adaptability in the digital transformation context at HCMUTE

STUDYING INFLUENCES ON SYNTHESIS OF BIODEGRADABLE POLYMER POLY(L(+)LACTIC ACID) BY POLYCONDENSATION USING OF TIN BASED CATALYSTS

Joint Research on Environmental Science and Technology for the Eart

Spectroscopic and Photoluminescent Properties of Nanostructured Polyfluorenes/TiO2 Composite Films used for OLEDs

In this work we present spectroscopic and photoluminescent properties of nanostructured polymeric composite films of nanocrystalline TiO2 and polyfuorenes (PF+nc-TiO2). The films were deposited onto glass and KBr substrates by spin-coating PF-in-toluene solution with embedding of 5-nm thick nc-TiO2 particles. The nc-TiO2 wt concentration embedded in PF was chosen as 1%, 2% and 4%. The FTIR, FTR, UV-VIS-NIR and photoluminescence characterization were carried-out to study the influence of oxide nanoparticles on the absorption spectra, molecular structures and emissive luminescence of the composites. It was shown that the presence of TiO2 nanoparticles results in improvement of charge separation of carriers generated by light excitation. Under a short wavelength excitation, in some samples a PL enhancement was observed. Under normal or long wavelength excitation, PF fluorescence quenching occurred for all the composites. Aging process of the composites was also investigated