Sources and seasonal variation of PAHs in the sediments of drinking water reservoirs in Hong Kong and the Dongjiang River (China)

The main objective of this study was to investigate occurrence of polycyclic aromatic hydrocarbons (PAHs) in the sources of the drinking water supply of Hong Kong. The main emphasis was on the Dongjiang River in mainland China which is the major source, supplying 80% of the total consumption in Hong Kong (the remaining 20% is obtained from rain water). Sediments were collected from four sites along the Dongjiang River and four reservoirs in Hong Kong during both the dry and wet weather seasons. The concentrations of total PAHs in the sediments ranged between 36 and 539 microg/kg dry wt. The lower levels were detected at the upstream site on the Dongjiang River and at the reservoirs in Hong Kong (44-85 microg/kg dry wt), while the mid- and downstream sites on the Dongjiang River were more polluted (588-658 microg/kg dry wt). Examination of the PAH profiles revealed that the mid- and downstream sections of the Dongjiang River contained high percentages of 4,5,6-ring PAHs, similar to the amounts of atmospheric particulate matter and road dust collected during the dry weather season from the Pearl River Delta region as reported in the literature. Seasonal changes were revealed in the reservoirs of Hong Kong, with higher PAH levels in the wet weather season than in the dry weather season. For those reservoirs in Hong Kong that store water from the Dongjiang River, a distinct seasonal pattern was also observed, namely, that under dry weather season conditions the PAHs found in the sediments were primarily from petrogenic source, while under wet weather season conditions they were from pyrolytic sources. No such pattern was detected in the reservoirs which stored only rain water.     

珠三角地区造纸行业排水中二 NFDA1 英(PCDD/Fs)特征分析

研究采用¹³C同位素内标稀释定量法,高分辨气相色谱质谱法(HRGC-HRMS)对珠三角地区造纸行业排水中PCDD/Fs特征进行了分析。结果表明,该地区造纸行业PCDD/Fs含量为:4.75~80.05 pg/L,且以OCDD占主导地位;同时该类行业PCDD/Fs的TEQ为:0.21~2.02 pg TEQ/L。最后通过对该类行业排水中PCDD/Fs的TEQ年排放量进行讨论,其结果为0.30~12.97 mg TEQ,且年平均排放量(4.42 mgTEQ)只占我国造纸行业TEQ总排放量的很小一部分。     

微波消解和ASD消解ICP-MS测定土壤中重金属元素的比较

采用微波消解和ASD消解2种消解方式对不同土壤样品进行消解,ICP-MS测定其中重金属含量。微波和ASD2种消解方式均能够较好地提取土壤中的Cr、Co、Ni、Mn和V元素,实验结果的相对误差和相对标准偏差均≤10%,符合实验分析的要求。微波消解精密度优于ASD,可作为优先选择的前处理方法。     

退浆废水中聚乙烯醇的分析检测研究

建立了紫外可见分光光度法检测退浆废水中聚乙烯醇(PVA)含量的方法。以硼酸为介质,碘化钾—碘溶液为显色剂,检测波长为680 nm,测定退浆废水中PVA含量的线性方程为Y=0.018 8X+0.003 2,相关系数R2=0.999 3,平均加标回收率为97.6%;方法精密度(RSD=1.5%)、重现性(RSD=1.8%)均较好。该方法操作简单、准确度高、测定快速,适用于测定退浆废水中PVA的含量。     

过氯乙烯滤膜采样-酸消解-钼蓝光度法测定磷酸雾

建立了过氯乙烯滤膜采样 -酸消解 -钼蓝分光光度法测定磷化车间磷酸雾的监测方法。实验室模拟采样的捕集效率为 95 7%～ 99 1 %。单个实验室对含 5μg和 1 5μg样品进行多次测定 ,其相对标准差小于 5% ,样品加标回收率为 98 2 %～ 1 0 0 5% ,方法检测限为 0 0 0 7mg/m3。对标样测定 ,结果均在给定值范围内。用该法与等离子发射光谱法(ICP)对 5个样品进行比对测定 ,结果均令人满意。     

广州某观测点春季大气样品中二NFDA1英日均浓度变化分析

在广州某商住区楼顶开展为期1个月的大气样品连续采样,利用高分辨气相色谱-高分辨质谱仪测定了样品中17种毒性二 NFDA1 英(PCDD/Fs)的含量。结果表明,该采样点位样品二 NFDA1 英I-TEQ浓度范围为0.094~1.34 pg I-TEQ/m³,样品日平均浓度相对偏差范围为3.2%~118.8%,6日平均浓度相对偏差范围为1.2%~60.1%,6日平均值更能较好地反映样品长期平均浓度。气象变化对样品中二 NFDA1 英I-TEQ浓度有明显影响,降雨后样品中的二 NFDA1 英I-TEQ浓度明显低于降雨前,降雨前或降雨中样品的二 NFDA1 英I-TEQ浓度与降雨后样品比值最高达到9.0,样品二 NFDA1 英I-TEQ浓度与PM_2.5的线性相关性高于其与TSP、温度相关性,上述三者的r值和P值分别为0.637、-0.296、0.271和0.611、0.326、0.329。     

Contamination assessment of arsenic and heavy metals in a typical abandoned estuary wetland—a case study of the Yellow River Delta Natural Reserve

Coastal and estuarine areas are often polluted by heavy metals that result from industrial production and agricultural activities. In this study, we investigated the concentration trait and vertical pattern of trace elements, such as As, Cd, Ni, Zn, Pb, Cu, and Cr, and the relationship between those trace elements and the soil properties in coastal wetlands using 28 profiles that were surveyed across the Diaokouhe Nature Reserve (DKHNR). The goal of this study is to investigate profile distribution characteristics of heavy metals in different wetland types and their variations with the soil depth to assess heavy metal pollution using pollution indices and to identify the pollution sources using multivariate analysis and sediment quality guidelines. Principal component analysis, cluster analysis, and pollution level indices were applied to evaluate the contamination conditions due to wetland degradation. The findings indicated that the concentration of trace elements decreased with the soil depth, while Cd increases with soil depth. The As concentrations in reed swamps and Suaeda heteroptera surface layers were slightly higher than those in other land use types. All six heavy metals, i.e., Ni, Cu, As, Zn, Cr, and Pb, were strongly associated with PC1 (positive loading) and could reflect the contribution of natural geological sources of metals into the coastal sediments. PC2 is highly associated with Cd and could represent anthropogenic sources of metal pollution. Most of the heavy metals exhibited significant positive correlations with total concentrations; however, no significant correlations were observed between them and the soil salt and soil organic carbon. Soil organic carbon exhibited a positive linear relationship with Cu, Pb, and Zn in the first soil layer (0–20 cm); As, Cr, Cu, Ni, Pb, and Zn in the second layer (20–40 cm); and As, Cr, Cu, Ni, Pb, and Zn in the third layer (40–60 cm). Soil organic carbon exhibited only a negative correlation with Cd (P?I _geo values), which averaged less than 0 in the three soil layers, this finding indicates that the soils have remained unpolluted by these heavy metals. The mean concentrations of these trace elements were lower than Class I criteria. The degradation wetland restoration suggestions have also been provided in such a way as to restore the reserved flow path of the Yellow River. The results that are associated with trace element contamination would be helpful in providing scientific directions to restore wetlands across the world.     

广州市居民家庭室内灰尘中传统和新型阻燃剂与塑化剂的污染特征及健康风险评估

近年来,随着阻燃剂多溴联苯醚(PBDEs)和以邻苯二甲酸酯(PAEs)为代表的传统型塑化剂(LPs)的逐步禁用或限用,有机磷系阻燃剂(PFRs)等新型阻燃剂及替代型塑化剂(APs)的生产和使用呈逐年增长的趋势,其环境污染特征和人体暴露健康风险值得引起广泛关注.目前,灰尘已广泛用于室内环境中PBDEs、PFRs和LPs等半挥发性有机污染物(SVOCs)的污染特征评估,而关于室内灰尘中APs的污染特征则鲜有报道.本研究以广州市42户普通居民家庭为研究对象,采集家庭室内灰尘并分析了PFRs、PBDEs、LPs和APs的含量及组成特征.结果表明,PFRs、PBDEs、LPs和APs在室内灰尘中均有广泛检出,其含量分别为593.28～11531.56、13.45～27029.13、40494.83～1154497.16和15365.19～1013352.51 ng·g^-1.大多数家庭中,PFRs和部分APs在灰尘中的含量呈现高于PBDEs和LPs的特征,PFRs和APs等新型污染物的人体暴露健康风险需引起高度关注.采用暴露模型评估人体经灰尘摄入和皮肤接触对目标污染物的日均暴...     

基于3种时间序列模型的九龙江河流库区藻华预测

湖库富营养化和有害藻华是全球性生态环境问题,藻华预测与早期预警是保障湖库水源地供水安全的关键技术.如何基于高频水生态在线监测数据进行藻华的实时动态预测成为水生态管理领域的重大需求.本研究以福建省九龙江江东库区(水源地)为例,利用3年连续观测的逐时平均总叶绿素a浓度数据,对比研究了SARIMA、Prophet和LSTM(长短期记忆神经网络)3种时间序列模型在藻华(日平均叶绿素a大于15μg·L^-1)预测方面的效果.结果表明：(1)时间序列模型要求参数少,灵活性强,能清晰反映水质特征和未来变化趋势,可弥补传统藻类监测预警方法的局限性;(2)基于深度学习框架的LSTM模型,具有独特的迭代优化算法,对藻类非线性变化特征的识别和预测能力较强,其总叶绿素a逐日预测和7日预测效果均显著优于SARIMA模型和Prophet模型;(3)输入数据长度会在一定程度上影响模型预测效果,最优的输入数据时间长度为7 d;输入数据频率对预测效果也有影响,在预测非藻华日时,小时数据的预测效果优于日频率数据;在预测藻华日时,两种频率数据无显著差异,但日频率数据能更准确识别藻华日特征.总结起来,基于...