Stereoisomeric profiling of pharmaceuticals ibuprofen and iopromide in wastewater and river water, China

Stereoisomeric compositions can provide insights into sources, fate, and ecological risks of contaminants in the environment. In this study, stereoisomeric profiles of ibuprofen and iopromide were investigated in wastewater and receiving surface water of the Pearl River Delta, south China. The enantiomeric fraction (EF) of ibuprofen was 0.108–0.188 and 0.480, whereas the isomer ratio (IR) of iopromide was 1.426–1.673 and 1.737–1.898 in the influent and final effluent, respectively, suggesting stereoselective degradation occurred for both pharmaceuticals during wastewater treatment. Ibuprofen showed enantioselective degradation in the anaerobic, anoxic, and aerobic conditions, whereas iopromide displayed isomer-selective degradation only under the aerobic condition. In the river waters, the EF of ibuprofen was 0.130–0.327 and the IR of iopromide was 1.500–2.531. The results suggested that pharmaceuticals in the mainstream Pearl River were mainly from discharge of treated wastewater, whereas in the tributary rivers and urban canals, direct discharge of untreated wastewater represented a significant contribution. The IR of iopromide can be an applicable and efficient tracer for wastewater discharge in the environment.     

内分泌干扰类农药生物检测技术的研究进展

内分泌干扰类农药会严重影响人类和其他动物的健康,而生物检测技术是内分泌干扰类农药的快速、简便的检测方法.本文介绍了内分泌干扰类农药常用的生物检测方法与技术,主要包括活体试验、离体试验与非细胞试验,并比较了各种方法的优缺点,列举了各方法在国内外环境激素测评中的应用现状,为我国内分泌干扰类农药生物检测技术的开发与应用提供了...     

壳聚糖吸附处理废水的研究进展

壳聚糖吸附处理废水的研究包括其对废水吸附性能和吸附机理的研究两个方面。壳聚糖表现出了良好的吸附废水中重金属离子、染料分子和其它易引起变异物质的能力;壳聚糖对金属离子和染料的吸附机理模型研究理论意义重大,它将进一步推动壳聚糖的实际工程应用。     

新型膜-生物反应器在不同通量下的膜污染特性研究

选择适当的膜通量是膜-生物反应器控制膜污染的有效手段之一.本文根据膜通量与临界通量的关系选取了5个不同的膜通量,考察在这些通量条件下新型膜-生物反应器膜污染发展特性的变化.试验结果表明,膜通量的变化会影响膜污染的发展特性.当膜通量小于临界通量区时,膜污染发展具有"2阶段"趋势,并且膜通量越小"第1阶段"和"第2阶段"的膜污染发展速率对比越显著.当膜通量在临界通量区通量内时,首先出现短暂的膜污染快速增长期,随后膜污染发展仍呈现"2阶段"现象.当膜通量大于临界通量区通量时,膜操作压力(TMP)从开始运行即迅速上涨直至试验结束.     

生态校园建设现状分析

生态校园建设的类型主要有:景观园林设计型、生态技术型、教育管理型.通过在校园内建立生态环境体系,使校园内有限的资源得到循环、合理、科学的使用,提高学校生态环境质量.     

辽河表层沉积物重金属生态风险与综合毒性表征

采用ICP-MS测定了辽河26个支流表层沉积物间隙水中7种重金属(Pb、Cu、Cr、Zn、Ni、As、Cd)的含量,并应用间隙水毒性基准单位(IWCTU)和Nemeraw指数(NI)对间隙水重金属生态风险进行了评价;同时利用摇蚊幼虫活体生物毒性测试方法评估了辽河流域26个支流表层沉积物的综合毒性。研究结果显示,辽河支流表层沉积物间隙水7种重金属平均含量为:Pb 3.92μg·L-1,Cu 5.73μg·L-1,Cr 7.21μg·L-1,Zn 4.33μg·L-1,Ni 4.48μg·L-1,As 5.89μg·L-1,Cd 0.29μg·L-1,根据IWCTU值和NI值,柴河、养息牧、亮子河、凡河、付家窝堡、接官厅具有潜在的生态风险;综合毒性表征结果表明,柴河、长沟子河、付家窝堡、柳河、一统河、潮沟河表层沉积物对摇蚊幼虫具有较高毒性。结合重金属毒性和综合毒性分析,认为辽河流域支流表层沉积物毒性应该是由复合污染形成,而不仅仅是重金属污染。     

Identification of magnetic particulates in road dust accumulated on roadside snow using magnetic, geochemical and micro-morphological analyses

The aim of this study is to test the applicability of snow surveying in the collection and detailed characterization of vehicle-derived magnetic particles. Road dust extracted from snow, collected near a busy urban highway and a low traffic road in a rural environment (southern Finland), was studied using magnetic, geochemical and micro-morphological analyses. Significant differences in horizontal distribution of mass specific magnetic susceptibility (χ) were noticed for both roads. Multi-domain (MD) magnetite was identified as the primary magnetic mineral. Scanning electron microscope (SEM) analyses of road dust from both roads revealed: (1) angular-shaped particles (diameter ∼1-300 μm) mostly composed of Fe, Cr and Ni, derived from circulation of motor vehicles and (2) iron-rich spherules (d ∼ 2-70 μm). Tungsten-rich particles (d < 2 μm), derived from tyre stud abrasion were also identified. Additionally, a decreasing trend in χ and selected trace elements was observed with increasing distance from the road edge.     

采用节水措施促进秦皇岛市水资源可持续发展

水资源是人类生存与发展最宝贵的自然资源,是任何其他资源都无法取代的、有限的资源.中国人均水资源量只有世界人均占有量的四分之一,是一个水资源贫乏的国家.秦皇岛市人均水资源量为597 吨/年,是全国平均值的1/4左右,属于缺水城市.在可供水不断减少的情况下,水资源需求量又在不断增加,因此,未来水资源的短缺形势将更为严峻,以水资源紧张为特征的水危机将会不断加剧.面对水资源短缺危机,节水成为秦皇岛市水资源可持续利用的根本出路.     

TiO2光催化降解哒螨酮机理研究

以TiO2 为催化剂对非均相纳米光催化降解杀虫剂哒螨酮进行了机理研究 .结果表明该反应遵循一级动力学方程 .速率常数为 0 0 2 95 7min-1 ,半衰期为 2 3 4 4min .重点利用气质联用 (GC MS)结合与标准品 ,合成化合物相对照的方法 ,鉴定出反应过程中可能产生的 8种中间产物 .据此 ,提出了降解路线 .同时用PM3算法计算模拟前线电子密度 (FED2 ) .证明哒螨酮分子中S原子上分布的FED2 最大 ,是诱发降解系列反应的起始位点 .此结论与实验结果———光催化降解哒螨酮的初始步骤是分子的苯环和杂环之间碳硫键的断裂相一致     

Influencing factors and prediction of ambient Peroxyacetyl nitrate concentration in Beijing, China

Peroxyacyl nitrates (PANs) are important secondary pollutants in ground-level atmosphere. Accurate prediction of atmospheric pollutant concentrations is crucial to guide effective precautions for before and during specific pollution events. In this study, four models based on the back-propagation (BP) artificial neural network (ANN) and multiple linear regression (MLR) methods were used to predict the hourly average PAN concentrations at Peking University, Beijing, in 2014. The model inputs were atmospheric pollutant data and meteorological parameters. Model 3 using a BP-ANN based on the original variables achieved the best prediction results among the four models, with a correlation coefficient (R) of 0.7089, mean bias error of ? 0.0043 ppb, mean absolute error of 0.4836?ppb, root mean squared error of 0.5320?ppb, and Willmott's index of agreement of 0.8214. Based on a comparison of the performance indices of the MLR and BP-ANN models, we concluded that the BP-ANN model was able to capture the highly non-linear relationships between PAN concentration and the conventional atmospheric pollutant and meteorological parameters, providing more accurate results than the traditional MLR models did, with a markedly higher goodness of R. The selected meteorological and atmospheric pollutant parameters described a sufficient amount of PAN variation, and thus provided satisfactory prediction results. More specifically, the BP-ANN model performed very well for capturing the variation pattern when PAN concentrations were low. The findings of this study address some of the existing knowledge gaps in this research field and provide a theoretical basis for future regional air pollution control.