地衣对建筑物的生物破坏作用

大量的证据表明地衣可以诱发和加速矿质基质的物理、化学风化过程,着生于建筑物表面的地衣能对建筑材料导致明显的生物破坏。其中,地衣菌丝在矿质基质中的穿插生长、原植体随环境变化出的膨胀收缩、冻融交替等机制对建筑物造成机械破坏。在而地衣分泌的草酸等简单有机酸以及大量的高分子有机化合物诱发和促进矿质基质的生物－化学风化过程。受其影响,矿质建材中原生的遭受溶解、蚀度,并产生多种次生矿物。最终破坏建筑物的坚固程     

地衣对建筑物的生物破坏作用

大量的证据表明地衣可以诱发和加速矿质基质的物理、化学风化过程,着生于建筑物表面的地衣能对建筑材料导致明显的生物破坏.其中,地衣菌丝在矿质基质中的穿插生长、原植体随环境变化表现出的膨胀收缩、冻融交替等机制对建筑物造成机械破坏.而地衣分泌的草酸等简单有机酸以及大量的高分子有机化合物诱发和促进矿质基质的生物-化学风化过程.受其影响,矿质建材中原生矿物遭受溶解、蚀变,并产生多种次生矿物.最终破坏建筑物的坚固程度、缩短其使用寿命、减低其美学价值.     

地衣对建筑物的生物破坏作用

大量的证据表明地衣可以诱发和加速矿质基质的物理、化学风化过程,着生于建筑物表面的地衣能对建筑材料导致明显的生物破坏.其中,地衣菌丝在矿质基质中的穿插生长、原植体随环境变化表现出的膨胀收缩、冻融交替等机制对建筑物造成机械破坏.而地衣分泌的草酸等简单有机酸以及大量的高分子有机化合物诱发和促进矿质基质的生物-化学风化过程.受其影响,矿质建材中原生矿物遭受溶解、蚀变,并产生多种次生矿物.最终破坏建筑物的坚固程度、缩短其使用寿命、减低其美学价值.     

应用化学提取法评价大气颗粒物中重金属的生物有效性

以广州市楼顶降尘为研究对象,在分析其粒度分布和重金属总量的基础上,采用单一化学提取法(DWLP、TCLP)和多级化学提取法(SEP)研究了大气颗粒物中4种重金属元素的生物有效性.结果表明:样品中96%以上颗粒小于100 μm,其中10 μm和2.5 μm以下颗粒分别占33%和11%.大气颗粒物中重金属含量很高,Cu、Pb、Zn和Cd的平均含量分别为362.43、1 033.81、830.32和5.80 mg/kg,是广东省环境土壤背景值的17～64倍.单一提取法中,TCLP的提取效率明显高于DWLP,表明pH值是影响大气颗粒物中重金属释放的主要因素.SEP法结果显示,Zn和Cd的生物可利用态比例远高于Cu和Pb.经DWLP和TCLP法提取后,颗粒物中重金属的总含量有不同程度的降低,生物可利用态所占比例明显增加.通过综合分析,发现SEP比其他两种方法更适用于评价大气颗粒物中重金属的生物有效性.     

乌鲁木齐市大气可吸入颗粒物中多环芳烃的污染特征及来源解析

在乌鲁木齐市南、北设置2个采样点,从2011年3-12月采集可吸入颗粒物(PM2.5、PM2.5-10)样品,分析了美国环境保护署优控的13种多环芳烃(PAHs)的浓度,采用比值法、主成分分析法和多元线性回归法对乌鲁木齐市大气PM2.5、PM2.5-10中PAHs的来源进行了分析。结果表明,科学院站PM2.5中13种PAHs的总质量浓度平均值为247.2ng/m3,变动范围为1.14~2 113.33ng/m3;新大站PAHs的总质量浓度平均值为240.84ng/m3,变动范围为4.96~1 359.41ng/m3。而科学院站PM2.5-10中13种PAHs的总质量浓度平均值为57.78ng/m3,变动范围为1.18~519.87ng/m3;新大站的总质量浓度平均值为49.18ng/m3,变动范围为1.38~412.52ng/m3。比值法分析结果表明,所采集样品的2/3来自煤和生物质的燃烧排放;主成分分析法和多元线性回归分析法结果表明,采暖期汽油和煤源对PM2.5中总PAHs的贡献率为46%,而非采暖期混合源的贡献率高达85%。采暖期汽油和柴油源对PM2.5-10中总PAHs的贡献率为66%,而非采暖期混合源的贡献率为78%。     

基于响应面法的重金属螯合剂前体物合成条件优化研究

以小分子的乙二胺与环氧氯丙烷为原料,以黏度为考察对象,对高分子重金属螯合剂的前体物合成条件进行优化。采用单因素实验确定黏度的主要影响因素,然后采用响应面法对制备条件进行优化。结果表明:(1)拟合的模型回归项显著而失拟项不显著,拟合性良好。(2)最佳制备条件为环氧氯丙烷和乙二胺摩尔比1.1、反应温度82.8℃、反应时间9.2h、NaOH和乙二胺摩尔比1.2。(3)产物傅立叶红外光谱表明,特征官能团的存在证明了前体物的生成。(4)利用前体物进一步合成了螯合剂,该螯合剂的Pb去除和稳定效果明显优于市售螯合剂。     

固定毒性配比法研究重金属与土霉素的联合毒性

为了研究重金属与药物二元混合体系的联合毒性,选择3种重金属盐CdCl2、K2Cr2O7、CuSO4与土霉素（OTC）为混合物组分,以固定毒性配比法构建3组二元混合物体系：CdCl2-OTC、K2Cr2O7-OTC和CuSO4-OTC。固定的毒性配比分别为4：1、3：2、1：1、2：3和1：4。应用微板毒性分析法,测定单一物质及二元混合物对费氏弧菌（Vibrio.fishceri）的联合毒性,通过比较实验数据与浓度加和模型预测值,分析混合物的毒性作用方式。结果表明：依据单一物质EC50值,它们的毒性从大到小依次为：CuSO4 > CdCl2 > K2Cr2O7 > OTC;重金属与OTC二元混合体系均表现出拮抗作用;在选取的毒性配比范围内,CdCl2-OTC和K2Cr2O7-OTC混合物的拮抗作用强弱在一定范围内浮动,并不随毒性配比的变化而变化。然而,CuSO4-OTC混合物中,联合毒性随着OTC比例的增大,作用方式由显著拮抗向加和趋近。这说明混合物中各组分的浓度组成影响CuSO4-OTC混合物对V.fishceri的联合作用方式,但是CdCl2-OTC和K2Cr2O7-OTC并不受影响。     

大宝山矿区水体和沉积物中重金属的污染评价

分别于丰水期和枯水期对广东省大宝山矿区铁龙拦泥坝至凉桥河段水体中溶解态的重金属进行了调查,应用EPA推荐的健康风险评价模型发现,水体中非致癌物通过饮水途径所导致平均个人年风险排列顺序是Cu〉Pb〉Zn,最大值的平均个人年风险在丰水期和枯水期的平均值分别是2.14×10-7 a-1和4.13×10-7 a-1,小于国际防辐射委员会（ICRP）推荐的最大可接受平均个人年风险5.0×10-5a-1。致癌物Cd的平均个人年风险在丰水期和枯水期的平均值分别是3.52×10-4 a-1和4.53×10-4 a-1,大于ICRP推荐的最大可接受值,同时也大于非致癌物3～4个数量级。另外,通过对枯水期沉积物的重金属总量分析,发现凉桥槽对坑支流受水体pH的影响,导致其沉积物重金属的浓度最高。根据Long和Macdonald利用生物效应数据库法建立的沉积物质量基准,发现除冷水泾外,其他采样点的平均效应中值指数（mERMQ）值都大于1.5,可见沉积物中的重金属会对当地底栖生物产生毒害作用。     

污染土壤中重金属生物有效性的植物指示法研究

污染土壤中重金属生物活性的判断是污染土壤修复的关键所在。植物指示法是近年来发展起来的判断污染土壤中重金属生物可利用性的一种经济简便且可靠的方法。综述了近年来国内外科研工作者在重金属污染程度的植物指示方面所做的工作，重点阐述了用指示植物监测环境污染以及指示植物的选择问题。     

洛阳城市污水处理厂污泥中重金属形态及潜在生态风险评价

分析了洛阳市3个污水处理厂脱水污泥中Cu、Zn、Ni、Cr和Pb的含量,采用BCR法研究了污泥中重金属的形态分布特征,并利用地累积指数法（Igeo）和潜在生态危害指数法（RI）评价污泥在农用过程中重金属的潜在生态风险。结果表明,涧西污泥中Cu、Zn和Ni含量超过了农用泥质A级标准的限值（CJ/T309-2009）,而新区污泥和瀍东污泥显示出良好的农用性质。污泥中Cu和Cr主要以可氧化态存在,Zn主要以酸溶态和可还原态存在,迁移性强,Ni含量分布相对比较均匀,Pb主要以残渣态存在。Igeo表明,污泥中Cu、Zn是潜在的污染元素。RI表明,Cu表现出高潜在生态风险;Zn的总含量虽高,但Zn的生物毒性响应因子低,对污泥的潜在风险贡献较低。     

Biomonitoring of heavy metals and air quality in Cordoba City, Argentina, using transplanted lichens

The objective of the present study was to test the concentrations of some elements in the transplanted lichen Usnea amblyoclada transplanted in Córdoba, Argentina, and to investigate the relative air quality of the area as indicated by a Pollution Index. Analyses of Cu, Co. Pb, Fe, Ni, Mn, S and Zn in addition to analyses of physiological parameters were performed after the transplantation period. No significant differences were observed among the sampling stations for the physiological parameters, except the dry weight/fresh weight ratio. The concentration of most elements was similar to or lower than those found in non-polluted and even polluted areas. The significant correlation found between Cu, Pb and Zn with the content of hydroperoxy conjugated dienes suggests an important oxidative effect probably caused by these ions. The distribution patterns of the elements were quite similar, with maximum values around a cement plant and the metallurgical industries. The Pollution Index distribution pattern does not coincide with the elements distribution, due to the fact that the index values probably reflected the emissions of gaseous phytotoxic pollutants.     

Monitoring air quality with lichens: a comparison between mapping in forest sites and in open areas

Four different methods of epiphytic lichen mapping were used for the assessment of air quality in the region under the influence of the Sostanj Thermal Power Plant (Salek Valley, Slovenia). Three methods were based on the presence of different lichen species (VDI, EU and ICP-Forest), the fourth on a frequency and coverage assessment of different growth forms of epiphytic lichens, e.g. crustose, foliose and fruticose (SI). A comparison of the results from the assessment of air quality between forest sites (ICP-Forest, SI) and open areas (VDI, EU and SI), obtained by the different methods of epiphytic lichen mapping, is presented in the contribution. Data showed that lichen species richness is worse in forest sites in comparison with open areas. From the data obtained it can be concluded that epiphytic lichen mapping in open areas is a better method for the assessment of air pollution in a given area than mapping in forest sites. The species-based methods in open areas are more powerful and useful for air quality assessment in polluted research areas than the SI and ICP-Forest methods.     

Epiphytic lichens as indicators of environmental quality in Rome

A synthesis of the studies on lichen diversity carried out in Rome over the period 1982-2003 is presented. In this work, the Lichen Diversity (LD) method has been applied. Besides air pollution, the most important variable affecting the epiphytic lichen flora of Rome, currently updated to 102 taxa, is the influence of the Tyrrhenian Sea. Significant changes in the lichen flora have been noted over the past 20 years, with the lowest diversity now being found in the urban centre and in the eastern and southern sectors, while the "lichen desert" area has decreased in parallel with decreasing concentrations of CO, NO(x) and SO2.     

Element accumulation performance of living and dead lichens in a large-scale transplant application

Environmental Science and Pollution Research - In bioaccumulation studies, sample devitalization through acid washing or oven drying is commonly applied to enhance the element accumulation...     

Integrated biomonitoring of air quality with plants and lichens: a case study on ambient ozone from central Italy

A biennial integrated survey, based on the use of vascular plants for the bioindication of the effects of tropospheric ozone together with the use of automatic analysers of ozone, as well as the mapping of lichen biodiversity was performed in the area of Castelfiorentino (Tuscany, central Italy). Photochemically produced ozone proved to be a fundamental presence during the warm season, with maximum hourly means reaching 114 ppb, exceeding the information threshold as fixed by EU: the use of supersensitive tobacco Bel-W3 confirmed the opportunity of carrying out detailed cost-effective monitoring surveys. The potential for didactical and educational implications of this methodology are appealing. Critical levels set up for the protection of vegetation have exceeded considerably. The comparison of biomass productivity in sensitive and resistant individuals (NC-S and NC-R white clover clones, in the framework of an European network) provided evidence that ambient ozone levels are associated with relevant reduction (up to 30%) in the performance of sensitive material; effects on flowering were also pronounced. The economic assessment of such an impact deserves attention. Mapping of epiphytic lichen biodiversity – which has been used to monitor air quality worldwide – was not related to ozone geographical distribution as depicted by tobacco response.     

Forecasting air quality time series using deep learning

This paper presents one of the first applications of deep learning (DL) techniques to predict air pollution time series. Air quality management relies extensively on time series data captured at air monitoring stations as the basis of identifying population exposure to airborne pollutants and determining compliance with local ambient air standards. In this paper, 8 hr averaged surface ozone (O₃) concentrations were predicted using deep learning consisting of a recurrent neural network (RNN) with long short-term memory (LSTM). Hourly air quality and meteorological data were used to train and forecast values up to 72 hours with low error rates. The LSTM was able to forecast the duration of continuous O₃ exceedances as well. Prior to training the network, the dataset was reviewed for missing data and outliers. Missing data were imputed using a novel technique that averaged gaps less than eight time steps with incremental steps based on first-order differences of neighboring time periods. Data were then used to train decision trees to evaluate input feature importance over different time prediction horizons. The number of features used to train the LSTM model was reduced from 25 features to 5 features, resulting in improved accuracy as measured by Mean Absolute Error (MAE). Parameter sensitivity analysis identified look-back nodes associated with the RNN proved to be a significant source of error if not aligned with the prediction horizon. Overall, MAE's less than 2 were calculated for predictions out to 72 hours.

Implications: Novel deep learning techniques were used to train an 8-hour averaged ozone forecast model. Missing data and outliers within the captured data set were replaced using a new imputation method that generated calculated values closer to the expected value based on the time and season. Decision trees were used to identify input variables with the greatest importance. The methods presented in this paper allow air managers to forecast long range air pollution concentration while only monitoring key parameters and without transforming the data set in its entirety, thus allowing real time inputs and continuous prediction.     

Single-source impact analysis using three-dimensional air quality models

Isolating the effects of an individual emissions source on secondary air pollutants such as ozone and some components of particulate matter must incorporate complex nonlinear processes, be sensitive to small emissions perturbations, and account for impacts that may occur hundreds of kilometers away. The ability to evaluate these impacts is becoming increasingly important for efficient air quality management. Here, as part of a recent compliance enforcement action for a violation of the Clean Air Act and as an evaluation of ozone response to single-source emissions plumes, two three-dimensional regional photochemical air quality models are used to assess the impact on ozone from approximately 2000 to 3000 excess t/month of nitrogen oxides emitted from a single power plant in Ohio. Periods in May, July, and August are evaluated. Two sensitivity methods are applied: the "brute-force" (B-F) method and the decoupled direct method (DDM). Using DDM, maximum 1-hr averaged ozone concentrations are found to increase by up to 1.8, 1.3, and 2.2 ppbv during May, July, and August episodes, respectively, and concentration increases greater than 0.5 ppbv occur in Ohio, Pennsylvania, Maryland, New York, West Virginia, Virginia, and North and South Carolina. B-F results for the August episode show a maximum 1-hr averaged ozone concentration increase of 2.3 ppbv. Significant localized decreases are also simulated, with a maximum of 3.6 ppbv in Ohio during the August episode and decreases of 0.50 ppbv and greater in Ohio, Pennsylvania, Maryland, West Virginia, and Virginia. Maximum increases are compared with maximum decreases for the August period using second-order DDM and are found, in aggregate, to be greater in magnitude by 42%. When evaluated during hours when ozone concentrations exceed 0.060 ppm, the maximum increases in ozone are higher than decreases by 82%. The spatial extent of ozone increase in both cases is about triple that of reduction.     

Tracing sources of atmospheric sulphur using epiphytic lichens

The overall objective of this work was to measure the spatial variation of sulphur isotopic composition of lichens across the island of Newfoundland in order to assess the degree to which the atmosphere is being affected by long-range transport of anthropogenic sulphur from eastern North America, and/or local pollution sources. A contour map (based on over 80 composite samples of the lichen Alectoria sarmentosa) illustrates the spatial distribution of sulphur isotopic composition of the Newfoundland atmosphere. It shows a gradient of delta(34)S of sulphur in lichen, decreasing from the coast to the interior of the island. It also shows local anomalies corresponding to the city of St. John's, the Come-By-Chance Oil Refinery, mining areas and fossil-fuel powered pulp and paper mills in central and western Newfoundland. The study strongly suggests that the isotopic composition of sulphur in the Newfoundland atmosphere is influenced more by the ocean (sea salt sulphate) and local anthropogenic activities in the province, than by long-range transport of continental North American sulphate.