Photoreduction characteristics of divalent inorganic mercury(Hg~(2+)) in the presence of specific algae species are still not well known. Laboratory experiments were conducted in the present study to identify the effects of different concentrations of living/dead algae species, including Aphanizomenon flosaquae(AF) and Microcystis aeruginosa(MA), on the photoreduction rate of Hg~(2+)under various light conditions. The experimental results showed that percentage reduction of Hg~(2+)was significantly influenced by radiation wavelengths, and dramatically decreased with the presence of algae. The highest percentage reduction of Hg~(2+)was induced by UV-A, followed by UV-B, visible light and dark for both living and dead AF, and the order was dark UV-A UV-B visible light for both living and dead MA. There were two aspects, i.e., energy and attenuation rate of light radiation and excrementitious generated from algae metabolisms, were involved in the processes of Hg~(2+)photoreduction with the presence of algae under different light conditions. The percentage reduction of Hg~(2+)decreased from 15% to 11% when living and dead AF concentrations increased by 10 times(from 106 to 105 cells/mL), and decreased from 11% to ~ 9% in the case of living and dead MA increased. Algae can adsorb Hg~(2+)and decrease the concentration of free Hg~(2+), thus inhibiting Hg~(2+)photoreduction, especially under the conditions with high concentrations of algae. No significant differences were found in percentage reduction of Hg~(2+)between living and dead treatments of algae species.The results are of great importance for understanding the role of algae in Hg~(2+)photoreduction. 相似文献
With a growing awareness of environmental protection, the dust pollution caused by automobile foundry work has become a serious and urgent problem. This study aimed to explore contamination levels and health effects of automobile foundry dust. A total of 276 dust samples from six types of work in an automobile foundry factory were collected and analysed using the filter membrane method. Probabilistic risk assessment model was developed for evaluating the health risk of foundry dust on workers. The health risk and its influencing factors among workers were then assessed by applying the Monte Carlo method to identify the most significant parameters. Health damage assessment was conducted to translate health risk into disability-adjusted life year (DALY). The results revealed that the mean concentration of dust on six types of work ranged from 1.67 to 5.40 mg/m3. The highest health risks to be come from melting, cast shakeout and finishing, followed by pouring, sand preparation, moulding and core-making. The probability of the risk exceeding 10−6 was approximately 85%, 90%, 90%, 75%, 70% and 45%, respectively. The sensitivity analysis indicated that average time, exposure duration, inhalation rate and dust concentration (C) made great contribution to dust health risk. Workers exposed to cast shakeout and finishing had the largest DALY of 48.64a. These results can further help managers to fully understand the dust risks on various types of work in the automobile foundry factories and provide scientific basis for the management and decision-making related to health damage assessment.