Heavy metals in bark of <Emphasis Type="Italic">Pinus massoniana</Emphasis> (Lamb.) as an indicator of atmospheric deposition near a smeltery at Qujiang,China

Goal, Scope and Background Rapid urbanization and the expansion of industrial activities in the past several decades have led to large increases in emissions of pollutants in the Pearl River Delta of south China. Recent reports have suggested that industrial emission is a major factor contributing to the damages in current natural ecosystem in the Delta area. Tree barks have been used successfully to monitor the levels of atmospheric metal deposition in many areas, but rarely in China. This study aimed at determining whether atmospheric heavy metal deposition from a Pb-Zn smeltery at Qujiang, Guangdong province, could be accurately reflected both in the inner bark and the outer bark of Masson pine (Pinus massoniana L.). The impact of the emission from smeltery on the soils beneath the trees and the relationships of the concentrations between the soils and the barks were also analyzed. Methods Barks around the bole of Pinus massoniana from a pine forest near a Pb-Zn smeltery at Qujiang and a reference forest at Dinghushan natural reserve were sampled with a stainless knife at an average height of 1.5 m above the ground. Mosses and lichens on the surface barks were cleaned prior to sampling. The samples were carefully divided into the inner bark (living part) and the outer bark (dead part) in the laboratory, and dried and ground, respectively. After being dry-ashed, the powder of the barks was dissolved in HNO₃. The solutions were analyzed for iron (Fe), manganese (Mn), copper (Cu), zinc (Zn), chromium (Cr), nickel (Ni) and cobalt (Co) by inductively coupled plasmas emission spectrometry (ICP, PS-1000AT, USA) and Cadmium (Cd) and lead (Pb) by graphite furnace atomic absorption spectrometry (GFAAS, ZEENIT 60, Germany). Surface soils (0–10 cm) beneath the sample trees were also collected and analyzed for the selected metals. Results and Discussion Concentrations of the selected metals in soils at Qujiang were far above their environmental background values in the area, except for Fe and Mn, whilst at Dinghushan, they were far below their background values, except for Cd and Co. Levels of the metals, in particular Pb and Zn, in the soils beneath the sample trees at Qujiang were higher than those at Dinghushan with statistical significance. The result suggested that the pine forest soils at Qujiang had a great input of heavy metals from wet and dry atmospheric deposition, with the Pb-Zn smeltery most probably being the source. Levels of Cu, Fe, Mn, Zn, Ni and Pb at Qujiang, both in the inner and the outer bark, were statistically higher than those at Dinghushan. Higher concentrations of Pb, Fe, Zn and Cu may come from the stem-flow of elements leached from the canopy, soil splash on the 1.5 m height and sorption of metals in the mosses and lichens growing on the bark, which were direct or indirect results from the atmospheric deposition. Levels of heavy metals in the outer barks were associated well with the metal concentrations in the soil, reflecting the close relationships between the metal atmospheric deposition and their accumulation in the outer bark of Masson pine. The significant (p<0.01) correlations of Fe-Cu, Fe-Cr, Fe-Pb, Fe-Ni, Pb-Ni, and Pb-Zn in the outer barks at Qujiang again suggested a common source for the metals. The correlation only occurred between Pb and Ni, Cd and Co in the outer barks at Dinghushan, which suggested that those metals must possibly have other uncommon sources. Conclusions Atmospheric deposition of the selected metals was great at Qujiang, based on the levels in the bark of Pinus massoniana and on the concentrations in the soils beneath the trees compared with that at Dinghushan. Bark of Pinus massoniana, especially the outer bark, was an indicator of metal loading at least at the time of sampling. Recommendations and Perspectives The results from this study and the techniques employed constituted a new contribution to the development of biogeochemical methods for environmental monitoring particularly in areas with high frequency of pollution in China. The method would be of value for follow up studies aimed at the assessment of industrial pollution in other areas similar with the Pearl River Delta.     

贵州省三岔河流域水化学特征及其控制因素

对乌江源区三岔河流域枯水期和丰水期河水样品离子浓度及组成特征分析表明,河水主要的阴阳离子分别是HCO_3~–和Ca~(2+),分别占到总阴离子量的55%和总阳离子量的70%,与喀斯特地区流域相似。主要离子的时空分布的对比分析表明,Ca~(2+)、Mg~(2+)、Na~+、HCO_3~–、Cl~–枯水期浓度略高于丰水期,而K+、SO_4~(2–)、NO_3~–两期浓度变化相对较小;空间分布的多样化,反映了不同小流域在地质背景、生态环境、人为活动等方面的差异对河水离子的影响。通过Gibbs图分析表明,研究区河水水化学主要受到岩石风化的影响,通过阴阳离子三角图分析表明,研究区河水水化学主要受到碳酸岩盐的影响,并且硫酸广泛参与到岩石风化中,人为活动对流域水化学组成也有一定影响。     

纳米镍/铁和铜/铁双金属对四氯乙烯脱氯研究

以实验室合成的纳米双金属颗粒(Ni/Fe和Cu/Fe)为反应材料,对四氯乙烯(PCE)进行脱氯试验研究.纳米金属颗粒(直径范围在1～100nm)比表面积比微米级铁颗粒高数十倍.结果表明,纳米Ni/Fe和Cu/Fe对四氯乙烯有明显的脱氯作用,且脱氯反应符合准一级反应动力学方程;在作为还原剂的铁表面镀上一薄层起催化作用的金属Ni或Cu,催化剂的存在大大降低脱氯反应活化能,提高了脱氯速率,并减少氯代副产物的产量.与零价铁及微米级双金属系统(Ni/Fe,Cu/Fe)相比,纳米颗粒对PCE的脱氯速率有明显提高,尤其是纳米Ni/Fe,标准化反应速率常数KSA为4.283 mL·m-2·h-1,分别比零价铁和微米级Ni/Fe系统快33.23倍和11.59倍.纳米Cu/Fe标准化反应速率常数KSA为1.194 mL·m-2·h-1,分别比零价铁和微米级Cu/Fe双金属系统快9.26倍和5.24倍.在相同条件下,纳米Ni/Fe脱氯速率常数KSA是纳米Cu/Fe的3.59倍.     

电子元器件的腐蚀

电子元器件在大气环境下,因潮湿及其它条件下会发生大气腐蚀,从而导致其材料产生腐蚀,电子结构系统发生故障如短路、点接触不良等.本文简单论述了因空气污染、塑料和有机物分解气体等导致的电子元器件的大气腐蚀原理及原因.     

深圳市龙华区PM2.5污染与减排过程模拟分析

通过分析深圳市龙华区2018年大气环境承载力发现,NO2和PM10的实际大气环境承载量已经降到了理想大气环境容量范围内,而PM2.5的实际大气环境承载量则已超过理想大气环境容量近1 000 t,说明PM2.5仍是龙华区大气污染防治的重点工作,利用科学手段精准、有效地指导PM2.5减排工作十分重要.基于相关监测数据,结合...     

赣南小流域的水文地球化学特征和主要风化过程

对赣南花岗岩小流域进行采样、测试及分析,发现其河水含有较低的矿化度,水化学组成以Na ,Ca2 ,Cl-1和HCO-3为主,溶解性Si的含量明显较高,代表了典型硅酸盐地区河流的相应化学组成.通过Gibbs图分析,赣南流域大部分地区受大气降水的影响比较显著,"蒸发-浓缩"类型的小流域也较多.根据主成分分析和因子分析的结果,定量地估算了大气中CO2和三类岩石对河水中各种离子的贡献比例.与黄河相比,赣南流域受硅酸盐岩风化作用强烈,但主要影响因素仍是碳酸盐和蒸发盐岩,二者对赣南流域溶解质的贡献率分别为42.8%和29.2%,大气中CO2对河水溶解质的贡献率为21.4%,低于世界平均水平.主要风化反应以岩盐和方解石的溶解为主,Si/(Na* K)比值较低,说明风化反应在表生环境中进行,其产物是富含阳离子的次生矿物.     

黄山景观区域降雨微量元素化学组成及来源

通过分析降水化学成分,探讨黄山景观区域降雨的微量元素化学组成特征及其来源。结果表明,降雨中微量元素含量呈现明显的季节性变化,主要受到降雨量、pH值、风向及溶解有机质等因素影响。来源分析和贡献估算结果表明,降雨中Mn、Cu、Pb、Cd、Ni、Co等元素受燃煤和交通污染排放的影响显著,贡献率均在98%以上;土壤源和人为源对Fe的贡献率分别为76. 9%、23. 1%,对Ti的贡献率为22. 8%、77. 2%; Sr主要受海洋源(28. 3%)和人为源(70. 5%)双重影响。     

基于平衡计分卡的大气环境监测数据共享网站绩效评估研究

基于平衡计分卡原理,结合网站特点,建立了大气环境监测数据共享网站绩效评估模型。以共享网站的战略愿景为模型框架的中心,以财务、顾客、内部程序、学习与成长等4个基本维度为一级指标,构建了绩效评估指标体系,并采用层次分析法确定了各指标的权重。利用该模型对长三角区域空气质量预测预报系统和宁波市空气质量预报预警平台的大气数据共享模块进行实证研究,绩效评估结果均为良好。     

Inverse modeling of Asian Rn flux using surface air Rn concentration

When used with an atmospheric transport model, the ²²²Rn flux distribution estimated in our previous study using soil transport theory caused underestimation of atmospheric ²²²Rn concentrations as compared with measurements in East Asia. In this study, we applied a Bayesian synthesis inverse method to produce revised estimates of the annual ²²²Rn flux density in Asia by using atmospheric ²²²Rn concentrations measured at seven sites in East Asia. The Bayesian synthesis inverse method requires a prior estimate of the flux distribution and its uncertainties. The atmospheric transport model MM5/HIRAT and our previous estimate of the ²²²Rn flux distribution as the prior value were used to generate new flux estimates for the eastern half of the Eurasian continent dividing into 10 regions.The ²²²Rn flux densities estimated using the Bayesian inversion technique were generally higher than the prior flux densities. The area-weighted average ²²²Rn flux density for Asia was estimated to be 33.0 mBq m⁻² s⁻¹, which is substantially higher than the prior value (16.7 mBq m⁻² s⁻¹). The estimated ²²²Rn flux densities decrease with increasing latitude as follows: Southeast Asia (36.7 mBq m⁻² s⁻¹); East Asia (28.6 mBq m⁻² s⁻¹) including China, Korean Peninsula and Japan; and Siberia (14.1 mBq m⁻² s⁻¹). Increase of the newly estimated fluxes in Southeast Asia, China, Japan, and the southern part of Eastern Siberia from the prior ones contributed most significantly to improved agreement of the model-calculated concentrations with the atmospheric measurements. The sensitivity analysis of prior flux errors and effects of locally exhaled ²²²Rn showed that the estimated fluxes in Northern and Central China, Korea, Japan, and the southern part of Eastern Siberia were robust, but that in Central Asia had a large uncertainty.     

Soil type affects migration pattern of airborne Pb and Cd under a spruce-beech forest of the UN-ECE integrated monitoring site Zöbelboden, Austria

Anthropogenic trace element emissions have declined. However, top soils all over the world remain enriched in trace elements. We investigated Pb and Cd migration in forest soils of a remote monitoring site in the Austrian limestone Alps between 1992 and 2004. Large spatial variability masked temporal changes in the mineral soil of Lithic Leptosols (Skeltic), whereas a significant reduction of Pb concentrations in their forest floors occurred. Reductions of concentrations in the less heterogeneous Cambisols (Chromic) were significant. In contrast, virtually no migration of Pb and Cd were found in Stagnosols due to their impeded drainage. Very low element concentrations (<1 μg l⁻¹) in field-collected soil solutions using tension lysimeters (0.2 μm nylon filters) imply that migration largely occurred by preferential flow as particulate-bound species during intensive rainfall events. Our results indicate that the extent of Pb and Cd migration in soils is largely influenced by soil type.