Multiple regression analysis in modeling of columnar ozone in Peninsular Malaysia

This study aimed to predict monthly columnar ozone (O₃) in Peninsular Malaysia by using data on the concentration of environmental pollutants. Data (2003–2008) on five atmospheric pollutant gases (CO₂, O₃, CH₄, NO₂, and H₂O vapor) retrieved from the satellite Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) were employed to develop a model that predicts columnar ozone through multiple linear regression. In the entire period, the pollutants were highly correlated (R?=?0.811 for the southwest monsoon, R?=?0.803 for the northeast monsoon) with predicted columnar ozone. The results of the validation of columnar ozone with column ozone from SCIAMACHY showed a high correlation coefficient (R?=?0.752–0.802), indicating the model’s accuracy and efficiency. Statistical analysis was utilized to determine the effects of each atmospheric pollutant on columnar ozone. A model that can retrieve columnar ozone in Peninsular Malaysia was developed to provide air quality information. These results are encouraging and accurate and can be used in early warning of the population to comply with air quality standards.     

A contemporary landscape of air pollution and greenhouse gas emissions leads to inevitable phenomena of low birthweight

The objective of the study is to empirically examine the air pollution, greenhouse gas (GHG) emissions and low birth weight in Pakistan through the cointegration and error correction model over a 36-year time period, i.e., between 1975 and 2012. The study employed the Johansen cointegration technique to estimate the long-run relationship between the variables, while an error correction model was used to determine the short-run dynamics of the system. The study was limited to the following variables, including carbon dioxide emissions, methane emissions, nitrous oxide emissions, GHG emissions, and low birth weight in order to manage robust data analysis. The results reveal that air pollution and GHG emissions significantly affects the low birth weight in Pakistan. In the long run, carbon dioxide emissions act as a strong contributor for low birth weight, as the coefficient value indicates there is a more elastic relationship (i.e., ?1.214, p?p?p?相似文献   

生物强化技术应急处理苯胺泄漏事故

为考察生物强化技术用于苯胺水污染事故应急处理的可行性,以化工园区苯胺泄漏事故为场景,采用高效苯胺降解菌AN-P1强化序批式活性污泥法(SBR),应急处理100～500 mg/L苯胺废水。结果表明,生物强化系统应急处理500 mg/L以下苯胺废水,启动时间约3～4周期(2 d),稳定运行后对苯胺的去除率在96.3%以上,化学需氧量(COD)的去除率在81.3%以上;曝气量(溶解氧)是影响降解的制约因素,其最适曝气量为0.5 m3/h。对处理系统中微生物超氧化物歧化酶(SOD)检测表明,强化系统SOD被诱导产生,对照系统中SOD被抑制,强化系统SOD酶活是对照系统的468倍,表明强化系统可有效消除苯胺降解产生的超氧阴离子自由基的氧化压力。     

活性炭/铁氧化物复合材料催化降解水中的苯酚

为了获得优良催化性能和分离性的复合材料,通过采用化学共沉淀法,把活性炭和铁氧化物进行复合,制备得到活性炭/铁氧化物复合材料。利用非均相Fenton反应处理模拟苯酚废水,考察了不同因素对苯酚去除率的影响。结果表明,在100 mL 100 mg/L的苯酚模拟废水中,复合材料m=0.1 g,温度为35℃,H2O2投加量为3 mL,pH=3,苯酚的去除率达到99%以上。制备得到的活性炭/铁氧化物复合材料具有磁性,能通过简单的磁分离技术就能快速从溶液中分离出来。通过对复合吸附材料降解稳定性的研究,发现经过5次循环使用后,苯酚去除率均在93%以上,表明其具有良好的循环使用性能。     

电化学氧化法深度处理垃圾焚烧发电厂沥滤液生化出水

垃圾焚烧发电厂的沥滤液经生化处理后,COD和色度等仍然较高,达不到排放标准,必须进一步进行深度处理。采用自制的箱式四通道电化学反应器对垃圾焚烧发电厂沥滤液生化出水进行深度处理,研究了主要工艺参数——电流密度、表观流速、初始Cl^-浓度、比电极面积等因素对COD和色度去除效果的影响。适宜处理条件为：电流密度20 mA/cm²,反应器内表观流速2.92 cm/s,初始Cl^-浓度4 732 mg/L、比电极面积43.4 m²/m³。在此条件下处理废水10 min,色度就能达到排放要求,处理2 h,COD也能达到排放要求。考察反应器的能耗发现,电化学处理的能耗随电化学处理时间的延长呈不断增大的趋势。     

铝铁电极联用电絮凝法处理Cu-EDTA络合废水

采用电絮凝法处理Cu-EDTA模拟废水,研究电极组合方式、初始pH值和氯化钠浓度3个因素对化学需氧量(COD)和Cu去除效果的影响。实验研究发现,当电极组合方式为2个铝阳极和2个铁阴极,起始pH值为3,氯化钠浓度为0.5 g/L,换极周期为40 min,反应时间为80 min时,COD去除率达到78.7%,Cu离子去除率达到99.9%。通过实验研究确定EDTA的去除机制主要是:酸性条件下的次氯酸氧化作用,碱性条件下的氢氧化物絮凝沉淀作用及单核态铝/铁与多核态铝/铁电荷中和作用,Cu的去除机制主要是氢氧化物的絮凝沉淀作用和铁电极的电沉积作用。     

基于时序蒙特卡罗方法的某铬盐场污染地下水泄漏风险

突发性污染地下水泄漏对周围水环境的影响具有重要研究意义。借鉴时序蒙特卡罗(SMC)方法来模拟污染源运行状态,并结合相应的河流水质模型,对污染地下水泄漏后造成的河流水质超标风险概率进行研究;利用健康风险评价模型,对污染物泄漏时水环境造成的人体健康风险进行评价。以某铬盐场为例验证该方法的稳定性和实用性。结果表明,该场地受污染的地下水对人体健康产生的危害程度为中级,其超标风险概率随模拟时间的增加而趋于稳定。     

Determination of the herbicide fluroxypyr in oil matrices

The purpose of this study was to develop a method for the determination of fluroxypyr (4-amino-3,5-dichloro-6-fluro2-pyridyloxyacetic acid) residue in palm oil namely crude palm oil (CPO) and crude palm kernel oil (CPKO). The method involves the extraction of the herbicide from the oil matrix followed by low temperature precipitation and finally quantification of the residues using the high performance liquid chromatography (HPLC). The extraction efficiency of the method was evaluated by conducting recovery studies. The recovery of fluroxypyr from the fortified CPO samples ranged from 78%–111% with the relative values for the coefficient of variation ranging from 1.4 to 8.6%. Furthermore, the recovery of fluroxypyr from the spiked CPKO samples ranged from 91–107% with the relative values for the coefficient of variation ranging from 0.6 to 4.5%. The minimum detection limit of fluroxypyr in CPO and CPKO was 0.05 μg/g. The method was used to determine fluroxypyr residues from the field-treated samples of CPO and CPKO. When fluroxypyr was used for weed control in oil palm plantations no residue was detected in CPO and CPKO irrespective of the sampling interval and the dosage applied at the recommended or double the manufacturer's recommended dosage.     

Numerical modeling and performance evaluation of passive convergence-permeable reactive barrier (PC-PRB)

● A 2D finite-element solute transport model, PRB-Trans, is developed. ● PC-PRB can significantly improve the remediation efficiency of PRB. ● PC-PRB can considerably reduce the required PRB dimensions and materials costs. ● The required PRB length decreases with the increase of pipe length, L _p. The passive convergence-permeable reactive barrier (PC-PRB) was proposed to address the limitations of traditional PRB configurations. To evaluate the hydraulic and pollutant removal performance of the PC-PRB system, we developed a simulation code named PRB-Trans. This code uses the two-dimensional (2D) finite element method to simulate groundwater flow and solute transport. Case studies demonstrate that PC-PRB technology is more efficient and cost-effective than continuous permeable reactive barrier (C-PRB) in treating the same contaminated plume. Implementation of PC-PRB technology results in a 33.3% and 72.7% reduction in PRB length (L_PRB) and height (H_PRB), respectively, while increasing 2D horizontal and 2D vertical pollutant treatment efficiencies of PRB by 87.8% and 266.8%, respectively. In addition, the PC-PRB technology has the ability to homogenize the pollutant concentration and pollutant flux through the PRB system, which can mitigate the problems arising from uneven distribution of pollutants in the C-PRB to some extent. The L_PRB required for PC-PRB decreases as the water pipe length (L_p) increases, while the H_PRB required initially decreases and then increases with increasing L_p. The effect of passive well height (H_w) on H_PRB is not as significant as that of L_p on H_PRB. Overall, PC-PRB presents a promising and advantageous PRB configuration in the effective treatment of various types of contaminated plumes.     

Photo-induced surface frustrated Lewis pairs for promoted photocatalytic decomposition of perfluorooctanoic acid

● Terminal carboxylate group activation is PFOA degradation’s rate-limiting step. ● Bi₃O(OH)(PO₄)₂ with surface frustrated Lewis pairs (SFLPs) efficiently degrade PFOA. ● Photo-induced Lewis acidic sites and proximal surface hydroxyls constitute SFLPs. ● SFLPs act as collection centers to effectively adsorb PFOA. ● SFLPs endow accessible pathways for photogenerated holes rapid transfer to PFOA. Heterogeneous photocatalysis has gained substantial research interest in treating per- and polyfluoroalkyl substances (PFAS)-contaminated water. However, sluggish degradation kinetics and low defluorination efficiency compromise their practical applications. Here, we report a superior photocatalyst, defected Bi₃O(OH)(PO₄)₂, which could effectively degrade typical PFAS, perfluorooctanoic acid (PFOA), with high defluorination efficiency. The UV light irradiation could in situ generate oxygen vacancies on Bi₃O(OH)(PO₄)₂ through oxidation of the lattice hydroxyls, which further promotes the formation of Lewis acidic coordinately unsaturated bismuth sites. Then, the Lewis acidic sites couple with the proximal surface hydroxyls to constitute the surface frustrated Lewis pairs (SFLPs). With the in-depth spectroscopic analysis, we revealed that the photo-induced SFLPs act as collection centers to effectively adsorb PFOA and endow accessible pathways to transfer photogenerated holes to PFOA rapidly. Consequently, activation of the terminal carboxyl, a rate-limiting step for PFOA decomposition, could be easily achieved over the defected Bi₃O(OH)(PO₄)₂ photocatalyst. These results suggest that SFLPs exhibit great potential in developing highly efficient photocatalysts to degrade persistent organic pollutants.