Enhanced arsenate removal from aqueous solution by Mn-doped MgAl-layered double hydroxides

Environmental Science and Pollution Research - In this study, Mn-doped MgAl-layered double hydroxides (LDHs) were successfully synthesized for efficient removal arsenate from aqueous solution. The...     

Characteristic and mechanism of sorption and desorption of benzene on humic acid

Environmental Science and Pollution Research - The sorption/desorption behaviors of benzene, toluene, ethylbenzene, and xylene (BTEX) on soil organic matter (SOM) have a significant influence on...     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

Effects of exogenous acylated homoserine lactones on biofilms in biofilters for gaseous toluene treatment

● Biofilm formation was enhanced by exogenous AHLs. ● EPS production and microbial adhesive strength of biofilm were promoted. ● Exogenous AHLs improved the performance of biofilters treating toluene. Biofilters are typical biofilm reactors, and they usually have poor biofilm formation resulting in limited reactor performance. Exogenous acylated homoserine lactones (AHLs) can enhance biofilm formation in many bioreactors based on quorum sensing regulation. However, their effect on biofilm in biofilters utilized for volatile organic compound (VOC) removal is unknown and needs to be investigated. In this study, the effects of the exogenous AHLs on biofilters for gaseous toluene removal were investigated. Analysis of biofilms in biofilters showed that the addition of exogenous AHLs considerably enhanced biofilm growth; the average biofilm concentration increased by 18%. Furthermore, the average biofilm coverage proportions in biofilters with and without exogenous AHLs were 17 % and 13 %, respectively, demonstrating the positive effect of exogenous AHLs on biofilm coverage. In particular, exogenous AHLs promoted the production of extracellular polymeric substances and the microbial adhesive strength of the biofilm. In addition, the exogenous AHLs showed no significant effect on the gaseous toluene removal efficiency of the biofilter. These results show that exogenous AHLs can enhance biofilm formation and can guide the application of exogenous AHLs in VOC biofilters.     

2013-2017年京津冀区域PM2.5浓度变化特征

利用2013-2017年京津冀区域13个城市PM_2.5监测数据，综合探讨了该区域PM_2.5浓度的时空变化特征。结果表明：京津冀区域PM_2.5污染整体较重，但治理成效显著，2013-2017年区域PM_2.5年均质量浓度分别为106、93、77、71、64 μg/m³，完成《大气污染防治行动计划》PM_2.5浓度下降25%左右的目标；13个城市PM_2.5浓度各百分位数总体呈现下降趋势，且随百分位数增大而下降速率加大，PM_2.5年均质量浓度平均每年下降10.6 μg/m³，污染严重的太行山沿线城市邢台、石家庄、邯郸3个城市平均每年分别下降20.3、16.1、13.9 μg/m³；京津冀区域PM_2.5重度污染天数比例分别为19.9%、16.6%、9.5%、9.0%、7.0%，呈下降趋势。2013-2017年京津冀区域PM_2.5平均质量浓度与非重度污染天相比升高19 μg/m³，PM_2.5重度污染天平均质量浓度较非重度污染天时高244.4%。     

钙钛矿型催化剂催化湿式氧化处理煤气化废水纳滤浓缩液

采用溶胶-凝胶法制备了Mn掺杂钙钛矿型催化剂LaFexMn1-xO3，并以其为催化剂催化湿式双氧水氧化处理煤气化废水纳滤浓缩液。采用XRD，SEM，FTIR技术对催化剂进行了表征。表征结果显示：制备的催化剂均具有标准的钙钛矿型结构，其中，LaFe0.9Mn0.1O3的结构稳定，比表面积大。实验结果表明：制备的催化剂中LaFe0.9Mn0.1O3的催化活性最高，且稳定性好，连续使用5次后催化活性未见明显减弱；在H2O2投加量3.0 g/L、n（H2O2）∶n（LaFe0.9Mn0.1O3）=12∶1、反应温度160 ℃、反应压力1 MPa、浓缩液pH 3、反应时间60 min的最优条件下，COD、UV254和TOC的去除率分别达到80.9%、95.2%和68.0%，BOD5/COD由0.02提升至0.40，可生化性大幅提高。     

三峡库区消落带农用坡地磷素径流流失特征

消落带是三峡库区重要的生态交错带，但自发农用和无序开发可能会造成更多的氮磷流失，进而加剧三峡库区水体富营养化。通过对库区连续3 a的定位监测（2011~2013年），研究了三峡库区消落带农用坡地的磷素流失特征。结果表明：次降雨事件中常规施肥处理的地表径流、壤中流总磷平均浓度分别为0.848±0.153、0.140±0.006 mg/L，其中地表径流中磷的形态以颗粒态为主，壤中流以溶解态的生物可利用磷为主。常规施肥下，地表径流、壤中流磷素年均流失通量分别为0.236±0.004、0.100±0.003 kg·hm 2，地表径流、壤中流磷素流失通量分别占总流失通量的70.2%、29.8%，地表径流是坡地磷素流失的主要途径，但壤中流也是不可忽视的重要途径。与常规施肥处理相比，减量施肥处理地表径流、壤中流磷素流失量分别降低了45.3%、40.0%。建议采取减量施肥的方式，以降低营养盐负荷，保护水环境。     

网状季胺基阴离子吸附剂制备及吸附性能

以丝瓜络为原料,采用醚化-接枝技术制备出季胺基阴离子交换吸附剂。采用电镜扫描、傅里叶红外光谱、比表面积孔径分布测定仪和元素分析仪等仪器对其进行分析和结构表征,并考察了温度、p H和硝酸盐初始浓度等因素对NO-3去除率的影响。实验结果表明,在20℃,p H值为3~10时,NO-3的吸附率可达90%左右;在不同温度下该吸附过程用Langmuir等温线模型和Freundich等温线模型描述均可;与伪一级动力学方程相比,伪二级动力学方程能更好地描述其吸附动力学方程。     

城市大气中挥发性有机化合物监测技术进展

挥发性有机物(VOCs)是臭氧及二次有机颗粒物(SOA)的主要前体物。近年来,我国逐步将VOCs纳入大气污染物控制体系。准确可靠的监测技术是大气VOCs研究及控制的重要前提保障。按照采样方法、分析方法 2个方面介绍并讨论了城市大气中VOCs的现有监测方法,较为详细地介绍了几类广泛采用的离线及在线监测技术,简要讨论了目前VOCs监测中存在的一些问题,展望了今后的发展趋势。     

杭州市环境空气中黑碳质量浓度变化特征

采用2013年环境空气自动监测数据,分析杭州市空气中黑碳质量浓度的变化规律,并对变化特征的产生原因进行探讨。结果表明:黑碳测定年均值为4.10μg/m3,日变化有明显双峰结构,峰值出现在早7时和晚8时左右;从季节看,黑碳质量浓度冬季高(5.20μg/m3)、夏季低(3.00μg/m3);黑碳质量浓度与NO2、CO、PM10、PM2.5显著相关,与O3、风速、气温呈负相关,降水对黑碳的清除作用明显。