汞同位素自然库存研究进展

汞同位素自然库存作为对汞污染源进行准确示踪的基础,对其进行完善仍是汞同位素研究领域的工作重点。汞存在7种稳定同位素且兼具质量分馏和非质量分馏效应,通过汞同位素对污染源、汞迁移转化过程进行示踪成为理想途径。库存数据作为汞同位素研究的基础,借助多道接收电感耦合等离子质谱仪(MC-ICPMS)对汞同位素进行精确测试,汞同位素库存研究领域取得了显著成果。表现如下:自然界不同库存汞同位素数据库已经初步建立;不同环境汞同位素组成差异显著且同一环境下不同样品同位素组成也各不相同,对其形成机理有了初步认知;依据汞同位素在不同环境的分馏特点及不同库存同位素组成特征,研究者开始对汞污染源进行示踪探索并取得了成功;自然界一些涉及汞迁移、转化的过程,同位素分馏特征已被掌握,特别是奇数非质量分馏的典型过程(光致还原、吸附)已被用于判别汞的地球化学迁移转化过程。涉及煤火的表生态汞的迁移转化是复杂的,部分汞具有二次释放特性,其中汞同位素产生的分馏效应无疑使通过同位素研究对汞污染源进行准确示踪变得困难,因此涉及煤火的表生态汞地球化学特征可作为汞同位素研究领域的一个新的方向。     

汞的微生物甲基化与去甲基化机理研究进展

甲基汞具有强烈的生物毒性和生物积累性,环境中甲基汞的产生主要与微生物相关,同时微生物也能通过去甲基化作用使甲基汞转变为无机汞.然而,目前国内外研究主要集中在汞的甲基化机理及影响因素,对汞的微生物去甲基化研究甚少.本文综述了汞的微生物甲基化、去甲基化研究史,以及微生物的主要作用机理,并对相关研究进行了展望,指出微生物酶促甲基化与氧化去甲基化机理研究将是以后工作的重点.     

环境中汞的微生物还原过程及机制

汞是一种全球性的环境污染物.汞的还原过程可降低地表环境汞浓度,促进汞的大气传输,对汞的区域/全球循环、甲基化及生物积累具有重要的作用.地表环境微生物还原是汞还原的重要过程,在多种环境介质中均可发生.本文介绍了多种环境介质中微生物汞还原在汞生物地球化学循环中的重要作用,详细总结了有氧与缺氧条件下微生物汞还原的途径与机制,提出了微生物还原汞的其它可能机制,并对相关领域的研究进行了展望.     

土壤汞污染研究进展

对国内外学者近些年来对土壤汞污染研究的工作进展作了系统的综述。主要包括土壤汞污染的途径、迁移方式和治理办法。其中重点介绍了大气汞的干湿沉降、土壤汞的释放及生物修复治理土壤汞污染。最后，还介绍了土壤汞形态的分析方法以及土壤挥发性汞释放通量的测量方法。     

同步辐射X射线荧光和吸收谱技术在环境汞污染研究中的应用进展

汞作为一种重要的全球性重金属污染物,被许多国际组织列为优先控制污染物。常规的汞分析手段,例如电感耦合等离子体质谱(ICP-MS)、原子荧光光谱(AFS)等,对汞的分析精度较高,方法比较成熟,但对样品前处理要求也较高。同步辐射技术由于其高、精、准的优势,且对样品前处理要求比较简单、可实现原位无损分析,因此被广泛应用于环境样品的分析中。随着研究的发展,同步辐射X射线荧光光谱(SRXRF)和同步辐射X射线吸收光谱(SRXAS)技术在环境汞污染分析领域得到了越来越多的应用。主要介绍了我国环境汞污染现状及污染特征,同步辐射技术对于汞分布蓄积、含量和化学形态分析方面的独特优势,重点回顾了本项目组和其他一些研究组近几年关于SRXRF和SRXAS技术在环境介质如土壤、植物体内汞的分布蓄积、相对含量和化学形态转化研究领域的应用进展,对进一步发展并提高同步辐射技术在环境及生物体汞污染水平、毒性机理和生态毒理评价方面的应用进行了展望。     

安徽省典型地区人群头发汞含量及其影响因素分析

汞及其化合物毒性大,挥发性强,在环境中易于迁移,危害人体健康.人发中汞的含量是反映汞的环境暴露对人体的影响的优良指标.本研究利用氢化物发生-原子吸收分光光度法对安徽省合肥、淮南、安庆等8个典型地区人群的131个头发样品中总汞含量进行测定,并用SPSS软件对数据结果进行了统计分析.结果表明,安徽省人群发汞含量为0.480±0.896μg·g~(-1),与国内外部分地区相比,处于较低水平,人体受汞暴露的风险较低;六安地区人群发汞含量(0.068±0.054μg·g~(-1))明显低于其他7个地区;男、女发汞含量分别为0.581±1.083μg·g-1和0.317±0.416μg·g~(-1),在0.05的显著性水平上无显著性差异,发汞含量与性别相关性较小;样本中30—50岁的人群发汞含量相对其他年龄段偏高,表明发汞含量与年龄具有一定相关关系;染发样本发汞含量明显低于非染发样本,不能准确反映人体的汞暴露程度.     

基于人工神经网络的燃煤汞排放预测模型

利用GA-BP的人工神经网络算法建立燃煤汞排放预测模型,确定煤中汞含量、煤的发热量、煤中硫含量、煤中氯含量、挥发份含量、排烟温度作为输入矢量,元素态汞、氧化态汞和颗粒态汞3个因素作为输出参数,通过对20个燃煤锅炉汞排放形态的测试数据进行模型训练,结合实际测试数据和预测数据对误差来源进行了分析.通过对3个样本进行验证,分析人工神经网络的实际预测效果.研究结果表明,训练与预测的精度都是符合汞排放预测实际要求的,预测精度达0.895,分析表明利用人工神经网络建立预测模型可对燃煤汞排放进行预测.     

Research progress on occurrence forms and microbial transformation of mercury北大核心CSCD

汞是一种高毒性且具有持久性的重金属污染物,汞污染的治理与修复在近几十年一直是国内外研究热点.了解微生物对汞赋存形态的转化作用,对汞污染的治理与修复具有重要意义.总结汞的不同赋存形态、毒性及对应的常用分析方法,其中甲基汞(methyl mercury,MeHg)是毒性最强的汞形态之一.环境中汞的化学形态能发生转化,尤其以微生物驱动的汞的甲基化、MeHg的去甲基化和汞的氧化还原最为常见.依据汞转化类型将汞转化相关微生物分为汞甲基化、MeHg去甲基化、汞还原、汞氧化等类群,将对应的汞转化作用机制分为基于hgcAB基因的汞甲基化、基于mer操纵子基因的MeHg去甲基化和Hg2+还原、胞内过氧化氢酶介导的Hg0氧化.微生物汞转化过程不仅受到pH和温度的显著影响,而且还受到汞的赋存形态和游离汞的浓度、微生物种/群结构与功能、矿物种类、中间体和次生产物及其交互作用的影响,基于此,提出正确客观表征汞的微生物转化过程需要综合分析微生物组和矿物组的变化规律及其交互作用的综合效应.针对酸性矿山废水(AMD)极端环境微生物汞转化研究的不足,未来的工作将聚焦结合多组学手段、同步辐射谱学和密度泛函理论(DFT)计算等分析技术研究汞赋存形态的微生物转化过程,分析和阐明汞转化中间体的键合作用方式和转化机制,从而为AMD汞污染的预防、治理和修复提供依据.(图2表2参107)     

水环境中铁-汞耦合对汞生物地球化学循环的影响研究进展

汞及其化合物是一类重要的全球污染物.水环境是汞重要的汇,也是汞发生形态转化与生物富集的重要场所.水环境中铁-汞相互作用对汞的生物地球化学循环有重要的影响.本文围绕水环境中铁-汞生物地球化学循环的耦合,讨论并总结了含铁矿物对汞的吸附、硫铁矿物对汞的硫化、溶解性铁与含铁矿物对二价汞的还原、铁对汞微生物甲基化的影响、铁参与的甲基汞降解、铁硫矿物介导二甲基汞生成以及水稻根系铁膜对汞吸收的影响,并进一步对铁-汞耦合对汞的生物地球化学循环影响的未来研究重点进行了展望.     

沉积物中汞的甲基化研究进展

汞是环境中存在的一种重要污染物质,其毒性与之化学形态密切相关。环境中的汞主要以无机汞形态存在,然而无机汞可以通过甲基化作用转化为毒性更强的甲基汞,从而给受到暴露的生物及人类带来更高的健康风险。沉积物是汞在水生环境系统中的主要分布相,也是无机汞甲基化过程发生的主要场所。沉积物中汞的甲基化过程受到生物种类、汞的生物可利用性等生物因素及温度、含硫化合物、有机质、氧化还原条件等环境理化性质的影响。本文对汞在沉积物中甲基化过程的作用机制及其影响因素的研究现状及最新进展进行了总结,并对未来更深入的研究进行了展望。     

湿地生态系统CO2净交换、水汽通量及二者关系浅析

湿地生态系统碳循环是陆地碳循环研究中的重要组成部分,对于全球变化具有重要意义。水汽通量是影响湿地生态系统碳循环最重要、最基本的生态因子之一,与湿地生态系统CO2净交换密切相关。本文在总结湿地生态系统CO2净交换与水汽通量变化基本规律及其主要影响因子的基础上,从宏观和微观2个方面分析二者之间的内在关系。从宏观上看,湿地生态系统本身的特点决定了CO2净交换与水汽通量之间必然是相互影响、相互制约的;就微观而言,叶片尺度上的气孔行为是水分蒸腾和净碳通量这两个生理生态过程相互联系的纽带。最后,对湿地生态系统CO2净交换与水汽通量关系的研究方向提出展望。     

封闭垃圾填埋场通过地表向大气释放汞的测定

利用动力学通量箱及自动测汞仪联用技术,于2004年3月中旬对贵阳市的一座封闭生活垃圾填埋场汞通过地表向大气释放的过程进行了研究。3个采样点的汞释放通量日均值分别为559.1、88.2、53.6ng·m-2·h-1,汞释放通量强度与表层基质中的汞含量密切相关,该测定值高于世界背景地区通量的1~2个数量级,说明封闭垃圾填埋场也是大气汞的潜在来源。汞释放通量呈现明显的昼夜变化规律,白天较高并在午间前后达到最大,而夜间降至最低。气相因子中光照强度与汞的释放过程相关性最高,其次分别是气温、相对湿度、地温和风速。氧化态汞的光致还原作用是可能垃圾填埋场Hg0生成的主要途径,降雨初期能促进地表汞的释放。     

Atmospheric mercury at mediterranean coastal stations

Mercury in air has been measured at five coastal Mediterranean sites, involving measurements in Spain, France, Italy, Slovenia and Israel. Four two-weeks long measurements campaigns were performed at the five sites. The measurements were carried out during autumn 2003 and winter, spring and summer 2004. Total gaseous mercury/elemental gaseous mercury, particulate mercury and divalent gaseous mercury were measured in parallel at the five sites. The activities constituted a subtask of the EU funded MERCYMS research project, which also included Mediterranean Sea cruises where both mercury in air and water were measured. The result from an evaluation of all the coastal air data is presented. Mercury concentrations from the different sites are compared with similar data obtained in northern Europe and elsewhere. The result shows that the background concentration of mercury in Mediterranean coastal air is lower than earlier anticipated. Background concentrations of TGM, RGM and TPM corresponded to 1.75–1.80 ng m⁻³, 1–13 and 3–23 pg m⁻³, respectively. The measurements also showed that the mercury concentration occasionally can be very high in some areas due to local anthropogenic emissions. It is proposed that diurnal variation in RGM concentrations observed during situation with nocturnal inversion merely is an effect of meteorology rather than due to local photochemistry.     

Ambient air particulates and particulate-bound mercury Hg(p) concentrations: dry deposition study over a Traffic,Airport, Park (T.A.P.) areas during years of 2011–2012

The main purpose of this study was to monitor ambient air particles and particulate-bound mercury Hg(p) in total suspended particulate (TSP) concentrations and dry deposition at the Hung Kuang (Traffic), Taichung airport and Westing Park sampling sites during the daytime and nighttime, from 2011 to 2012. In addition, the calculated/measured dry deposition flux ratios of ambient air particles and particulate-bound mercury Hg(p) were also studied with Baklanov & Sorensen and the Williams models. For a particle size of 10 μm, the Baklanov & Sorensen model yielded better predictions of dry deposition of ambient air particulates and particulate-bound mercury Hg(p) at the Hung Kuang (Traffic), Taichung airport and Westing Park sampling site during the daytime and nighttime sampling periods. However, for particulates with sizes 20–23 μm, the results obtained in the study reveal that the Williams model provided better prediction results for ambient air particulates and particulate-bound mercury Hg(p) at all sampling sites in this study.

     

Identification of important factors for water vapor flux and CO2 exchange in a cropland

Water vapor flux and carbon dioxide (CO₂) exchange in croplands are crucial to water and carbon cycle research as well as to global warming evaluation. In this study, a standard three-layer feed-forward back propagation neural network technique associated with the Bayesian technique of automatic relevance determination (ARD) was employed to investigate water vapor and CO₂ exchange between the canopy of summer maize and atmosphere in responses to variations of environmental and physiological factors. These factors, namely the photosynthetically active radiation (PAR), air temperature (T), vapor pressure deficient (VPD), leaf-area index (LAI), soil water content in root zone (W), and friction velocity (U*), were used as inputs in neural network analysis. Results showed that PAR, VPD, T and LAI were the primary factors regulating both water vapor and CO₂ fluxes with VPD and W more critical to water vapor flux and PAR and T more crucial to CO₂ exchange. Furthermore, two time variables “day of the year (DOY)” and “time of the day (TOD)” could also improve the simulation results of neural network analysis. The important factors identified by the neural network technique used in this study were in the order of PAR > T > VPD > LAI > U* > TOD for water vapor flux and in the order of VPD > W > LAI > T > PAR > DOY for CO₂ exchange. This study suggests that neural network technique associated with ARD could be a useful tool for identifying important factors regulating water vapor and CO₂ fluxes in terrestrial ecosystem.     

北京灵山草地土壤CO2源汇和排放通量与温度湿度昼夜变化的关系

大气中温室气体含量不断升高是造成目前全球变暖的主要原因,而土壤CO2是大气CO2的重要来源之一。研究表明温度、湿度是土壤CO2最主要的气候影响因素,通过对植物夏季雨后次日对土壤CO2排放过程中的源(不同深度土壤CO2体积分数)、汇(大气CO2体积分数)和中间CO2气体交换通量(土壤CO2排放通量)、气温、土温以及表土湿度进行同步连续的昼夜观察,研究日和小时变化尺度上温度和土壤湿度对CO2地气交换的影响。结果表明土壤CO2排放通量、大气CO2和土壤CO2体积分数的昼夜变化特征不一致,只有土壤CO2排放通量与气温变化存在明显的正相关关系,在日变化尺度上随表土湿度增加而增加;表土湿度在日变化尺度和小时变化尺度上与草丛空气CO2体积分数正相关;土壤CO2体积分数则在日变化尺度上当表土湿度较小时与表土湿度正相关。气温主要影响土壤CO2向大气的扩散和对流过程,而不是昼夜尺度上影响土壤CO2体积分数变化的主要环境因素。     

Mercury pollution in a mining area of Guizhou,China: Fluxes over contaminated surfaces and concentrations in air,biological and geological samples

A dynamic flux chamber has been used to estimate fluxes of mercury over different types of surfaces in an abandoned open‐cut mine of Tongren prefecture, Guizhou province, China during spring and summer of 1996. The highest fluxes were obtained over cinnabar slag and contaminated soils, whereas the emissions above cinnabar ore were substantially lower. These fluxes was scaled up to estimate the contribution of mercury emissions to air from mercury wastes, compared to anthropogenic activities in the province of Guizhou, China. Atmospheric mercury concentrations measured were enhanced in the mining area (<1.3 μg m^‐3) compared to regional background sites (1.8–5.1 ng m^‐3). The spreading of mercury was estimated by using biological and geological samples. Moss bags have been employed to estimate long‐time dry‐ and wet‐deposition to this area.     

Radon from drinking water — evaluation of water-borne transfer into house air

To determine the transfer of²²²Rn from domestic water into air, nine houses were measured for²²²Rnt, house volume, water use and air exchange by SF₆ and radon. Measurements were done in Maine during April and May, 1986, when sealed up for the winter. Radon in water concentration ranged from 35,000 to 1,250,000 pCi/l. Air peaks of²²²Rn ranged from 13 to 200 pCi/l due to a water use burst experiment. Use of water filters was also examined by repeats with filters on and off. Water use ranged from 200 to 1922 litres/day. House volumes ranged from 380 to 999 m³. Air exchange rates measured by SF₆ was twice as large as air exchange rate measured by²²²Rn.     

Physiological and metabolic effect of mercury accumulation in higher plants system

Heavy metals, lead (Pb) and mercury (Hg) are non-essential elements. Plants absorb these metals from soil, water and air through their roots and leaves. Heavy metals are the major environmental pollutants, which spread to soil through the use of pesticides, herbicides and micronutrient fertilizers, industrial effluents, decay of junk materials and sewage sludge, vehicular emissions, re-suspended road dust, diesel generator sets and coal-based thermal power plants. Sewage and sludge have contributed to heavy metal contamination of peri-urban lands and vegetable crops. The present review focuses on the effects of various concentrations of Hg on growth of young and mature seedlings as well as on nitrate reductase activity and nitrate assimilation in intact and excised seedling, especially the mechanism underlying nitrate reductase regulation by this heavy metal. Evidence indicates that mercury exerts significant adverse effects on the physiological activity of plants.