Formation of submicron sulfate and organic aerosols in the outflow from the urban region of the Pearl River Delta in China

Size-resolved chemical compositions of non-refractory submicron aerosols were measured using a quadrupole Aerodyne aerosol mass spectrometer at a rural site near Guangzhou in the Pearl River Delta (PRD) of China in the summer of 2006. Two cases characterized as the outflows from the PRD urban region with plumes of high SO₂ concentration were investigated. The evolution of sulfate size distributions was observed on a timescale of several hours. Namely mass concentrations of sulfate in the condensation mode (with vacuum aerodynamic diameters (D_va) < 300 nm) increased at a rate of about 0.17–0.37 ppbv h^?1 during the daytime. This finding was consistent with the sulfuric acid production rates of about 0.17–0.3 ppbv h^?1, as calculated from the observed gas-phase concentrations of OH (～3.3 × 10⁶–1.7 × 10⁷ cm^?3) and SO₂ (～3–21.2 ppbv). This implies that the growth of sulfate in the condensation mode was mainly due to gas-phase oxidation of SO₂. The observed rapid increase was caused mainly by the concurrent high concentrations of OH and SO₂ in the air mass. The evolution of the mass size distributions of m/z 44, a tracer for oxygenated organic aerosol (OOA), was very similar to that of sulfate. The mass loadings of m/z 44 were strongly correlated with those of sulfate (r² = 0.99) in the condensation mode, indicating that OOA might also be formed by the gas-phase oxidation of volatile organic compound (VOC) precursors. It is likely that sulfate and OOA were internally mixed throughout the whole size range in the air mass.     

Associations between co-exposure to multiple metals and renal function: a cross-sectional study in Guangxi,China

The association between co-exposure to multiple metals and renal function is poorly understood. We aimed to evaluate the individual and joint effects of metal exposure on renal function in this study. We performed a cross-sectional study including 5828 participants in Guangxi, China, in 2019. Urine concentrations of 17 metals were detected by inductively coupled plasma mass spectrometry (ICP-MS). Logistic regression model and restricted cubic spline (RCS) were applied to investigate the association of individual metal exposure with renal dysfunction. Weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) were used to assess the co-exposure effects of the metals. Participants with the highest quartile of urinary Cu were at 1.84-fold (95% confidence interval (CI): 1.20–2.87) increased risk of renal dysfunction compared with the lowest quartile. The highest quartiles of urinary Sr, Cs, V, Ba, and Se were associated with 0.27-fold (95% CI: 0.17–0.43), 0.33 (95% CI: 0.19–0.53), 0.41 (95% CI: 0.25–0.65), 0.58 (95% CI: 0.36–0.90), and 0.33 (95% CI: 0.19–0.56) decreased risk of renal dysfunction compared with their lowest quartile, respectively. Furthermore, urinary Ba and Cu were non-linearly correlated with renal dysfunction. The WQS analysis showed that mixed metal exposure was inversely associated with renal dysfunction (OR = 0.47, 95% CI: 0.35–0.62), and Sr accounted for the largest weight (52.2%), followed by Cs (32.3%) in the association. Moreover, we observed a potential interaction between Cu, Cs, and Ba for renal dysfunction in BKMR model. Exposure to Se, Sr, Cs, V, and Ba is associated with decreased risk of renal dysfunction, whereas an increased risk is associated with Cu exposure. Co-exposure to these metals is negatively associated with renal dysfunction, and Sr and Cs are the main contributors to the associations.

     

Toxicity of environmental nanosilver: mechanism and assessment

Environmental Chemistry Letters - Nanosilver (nAg) is increasingly being used in a wide array of fields, and its toxicity has been extensively studied. Here we present a review of environmental nAg...     

What adverse health effects will environmental heavy metal co-exposure bring us: based on a biological monitoring study of sanitation workers

Environmental Science and Pollution Research - To investigate the relationship between health effect profile and co-exposure to heavy metal, 254 sanitation workers from Guangzhou, China, were...     

Heavy metal exposure has adverse effects on the growth and development of preschool children

Environmental Geochemistry and Health - The purpose of this study was to investigate the associations between levels of lead (Pb), cadmium (Cd), chromium (Cr), and manganese (Mn) in the PM2.5 and...     

Biotoxicity and bioavailability of hydrophobic organic compounds solubilized in nonionic surfactant micelle phase and cloud point system

Environmental Science and Pollution Research - A recent work has shown that hydrophobic organic compounds solubilized in the micelle phase of some nonionic surfactants present substrate toxicity to...     

The drivers for contractors’ green innovation: an industry perspective

In the construction industry, contractors have been facing the challenge to meet the emerging needs related to the reduction of environmental impacts during the construction process. Generally, the commitment of efforts and resources from contractors to meet these needs is motivated by the influence exerted from environmental regulations and stakeholder demands. However, managerial environmental concerns and size of firms also account as key factors affecting the adoption of green construction practices. Therefore, the aim of this research is to identify those factors influencing contractors to adopt green construction practices by using data gathered from a survey. From the results, it has been found that managerial concern is the most important driver for the adoption of green practices. Significant relationships have also been found between government regulations and business size with the adoption of green construction practices. However, there is no significant evidence on the relationship among the adoption of green construction practices with perceived stakeholders’ pressures. The findings from this study are significant in the understanding on the factors of green construction management. This knowledge may contribute to better decision-making towards implementing green construction practices.     

NO_x光解测量装置的观测应用实例

将一套基于NO2光解原理自主设计的光解室与Thermo 42i系列氮氧化物分析仪的化学发光检测室联用,应用于四川资阳乡村站的外场观测中.结果发现,在进样流量170 m L·min-1、光源温度20℃、光源功率约60 W的条件下,该套自主设计的光解室对NO2的转化效率可连续30 d稳定在80%.同时,与传统钼转化炉法进行了比对,发现两种方法得到的NO浓度测量结果趋于一致(误差5%以内,R2=0.99);而NO2的测量结果则是钼转化炉法显著偏高于光解法,偏差约为3.72 ppbv(R2=0.86).将两种方法的测量差值(ΔNO2)与O3、NOz([NOz]=[NOy]-[NOx])及NO2光解速率J(NO2)等数据进行分析,推论出ΔNO2由钼转化炉中部分NOz热转化所致,且ΔNO2在NO2低浓度段偏差的不确定性也初步归因于NOz浓度测量的不确定性.利用观测中获得的HONO、HNO3、PAN浓度代表NOz对NO2进行修正后,再次与光解法测量结果比对,结果证实钼转化炉法的高估值确由部分NOz物种导致,同时证实光解法测量结果更接近NO2的真实值.     

Camel culling and carbon emissions in rangelands in central Australia

Culling feral camels will impact on the carbon emissions from them. Culling of feral camels stops their long-term continuous methane emission, but emits carbon from their carcasses in the short term. Through on-site monitoring of the decomposition process of camels that have been shot dead, this paper models the pattern of carbon emissions during the decomposition of these camels in Central Australia, and analyses the contribution of the camel culling programme to carbon emission mitigation on the rangelands. A ‘carbon royalty’ payment mechanism is also suggested to encourage local participation in carbon markets through an involvement in natural resource management.     

北京市污水处理厂出水中雌二醇的概率生态风险评价

随着北京市再生水补给河湖规模扩大,污水处理厂出水中雌激素活性物质引起的受纳水体生态风险日益受到关注。以雌二醇为例,利用物种敏感度分布(species sensitivity distribution,SSD)模型和联合概率曲线(joint probability curve,JPC)方法开展北京市污水处理厂出水的概率生态风险评价研究。通过文献调研整理了北京市约430个物种,利用美国环境保护署ECOTOX数据库获取了其中7个物种的雌二醇毒性数据,构建了正态分布、对数正态分布、Logistic分布、对数Logistic分布、Weibull分布、Burr III型分布和Gumbel分布等7个SSD模型,评价了北京市污水处理厂二沉池出水以及"混凝-沉淀-过滤-臭氧"、"超滤-臭氧"和"超滤-活性炭-臭氧"3种深度处理工艺组合出水的生态风险。结果表明,利用北京市7个物种雌二醇毒性数据构建的SSD模型具有合理性,SSD模型选择对生态风险评价结果的影响较大,对数正态分布、对数Logistic分布、Weibull分布和Burr III型均是可接受的SSD模型,其中拟合效果最佳的Burr III型分布模型给出了最保守的风险估计。Burr III型分布模型的模拟结果显示,北京市污水处理厂二沉池出水以及3种深度处理工艺组合出水的总体风险期望值分别为0.070、0.040、0.036和0.026,该结果可以为北京市未来水生态保护目标的设定以及污水处理工艺的升级改造提供决策参考。