Acid Deposition in the Tuscan Appennines During the Dry Period 1988-89

The typical parameters of acid precipitation are evaluated in the forest of Vallombrosa (Tuscan Appennines) during the dry period 1988-89. Individual rain events (dry and wet deposition) were sampled in a clearing of the forest and below the canopy of an evergreen tree as well as a deciduous broadleaf tree.

In atmospheric precipitation the pH values usually vary around 4.4, with neutralization in the hot season due to calcareous material from distant sources. Relatively large concentrations of Pb and Cd are found in rain, but only in a small amount in canopy leachate. Aluminium, manganese and iron are more significantly washed off than Pb and Cd.     

Occurence and Distribution of Polycyclic Aromatic Hydrocarbons in Ankara Precipitation

Urban atmospheric environment contains many trace organic pollutants that are related to the incomplete fuel combustion in domestic heating, industrial plants and automobile traffic. Removal of these pollutants from the atmosphere takes place through wet and dry deposition as well as chemical transformations. In this study, concentrations of polycyclic aromatic hydrocarbons (PAHs) in wet deposition samples were determined at an urban site of Turkey. Wet and dry deposition samples were collected using Andersen Rain Sampler. The sampler was modified accordingly for the collection of organic pollutants. Collected samples were preconcentrated by using solid phase extraction (SPE) disks and consecutively analyzed by Gas Chromatography-Mass Spectrometry (GC-MS). Among the 13 compounds quantified in this study, anthracene, fluoranthene, and pyrene were found more frequently and at elevated concentrations (202, 271 and 260 ng L^-1 mean concentrations, respectively).Concentrations of PAHs were found to be high in winter period.     

ENVIRONMENTAL AUDITING: An Approach for Characterizing Tropospheric Ozone Risk to Forests

/ The risk tropospheric ozone poses to forests in the United States is dependent on the variation in ozone exposure across the distribution of the forests in question and the various environmental and climate factors predominant in the region. All these factors have a spatial nature, and consequently an approach to characterization of ozone risk is presented that places ozone exposure-response functions for species as seedlings and model-simulated tree and stand responses in a spatial context using a geographical information systems (GIS). The GIS is used to aggregate factors considered important in a risk characterization, including: (1) estimated ozone exposures over forested regions, (2) measures of ozone effects on species' and stand growth, and (3) spatially distributed environmental, genetic, and exposure influences on species' response to ozone. The GIS-based risk characterization provides an estimation of the extent and magnitude of the potential ozone impact on forests. A preliminary risk characterization demonstrating this approach considered only the eastern United States and only the limited empirical data quantifying the effect of ozone exposures on forest tree species as seedlings. The area-weighted response of the annual seedling biomass loss formed the basis for a sensitivity ranking: sensitive-aspen and black cherry (14%-33% biomass loss over 50% of their distribution); moderately sensitive-tulip popular, loblolly pine, eastern white pine, and sugar maple (5%-13% biomass loss); insensitive-Virginia pine and red maple (0%-1% loss). In the future, the GIS-based risk characterization will include process-based model simulations of the three- to 5-year growth response of individual species as large trees with relevant environmental interactions and model simulated response of mixed stands. The interactive nature of GIS provides a tool to explore consequences of the range of climate conditions across a species' distribution, forest management practices, changing ozone precursors, regulatory control strategies, and other factors influencing the spatial distribution of ozone over time as more information becomes available.KEY WORDS: Ecological risk assessment; GIS; Ozone; Risk characterization; Forests; Trees     

Modelling nitrogen fluxes at the landscape scale

The distribution and impacts of different nitrogen pollutants are inextricably linked. To understand the problem fully, the interactions between the different pollutants need to be taken into account. This is particularly important when it comes to abatement techniques, since measures to reduce emissions of one nitrogen pollutant can often lead to an increase in another. This project represents a step towards greater understanding of these issues by linking together new and existing nitrogen flux models into a larger framework. The modelling framework has been constructed and some of the nitrogen flows between fields, farms and the atmosphere have been modelled for a UK study area for typical farm management scenarios.     

Applying metabolic fingerprinting to ecology: The use of Fourier-transform infrared spectroscopy for the rapid screening of plant responses to N deposition

The potential for metabolic fingerprinting via Fourier-transform infrared (FT-IR) spectroscopy to provide a novel approach for the detection of plant biochemical responses to N deposition is examined. An example of spectral analysis using shoot samples taken from an open top chamber (OTC) experiment simulating wet ammonium deposition is given. Sample preparation involved oven drying and homogenisation via mill grinding. Slurries of a consistent dilution were then prepared prior to FT-IR analysis. Spectra from control, 8 and 16 kg N ha^–1 yr^–1 treatments were then subjected to cross-validated discriminant function analysis. Ordination diagrams showed clear separation between the three N treatments examined. The potential for using Calluna vulgaris (L.) Hull as a bioindicator of N deposition is further evident from these results. The results also clearly demonstrate the power of FT-IR in discriminating between subtle phenotypic alterations in overall plant biochemistry as affected by ammonium pollution.     

珠江口无机氮湿沉降规律及大气输送的研究

针对2007年3～11月广东中山市横门站的降水资料,分析了珠江口氮湿沉降特征及其来源.结果显示:研究期间横门降水中NH+4-N和NO-3-N的降雨量加权平均浓度分别为0.62和0.41mg·L-1;其季节变化规律表现为秋季最高,其次是春季,夏季最低.降水NH+4-N和NO-3-N的浓度呈显著正相关,与降水pH值呈负相关.利用气团轨迹后推以及天气形势得出,横门陆地性降水氮浓度最高,海洋性降水氮沉降通量最高.云下气团分类结果表明,海洋性NE类气团对横门无机氮湿沉降的输送负荷最大.     

Alveolar Macrophage (AM) Mobility Reduction as a Result of Long-Term Exposure to High Dust Concentration in Inhaled Air

The influence of high concentration of insoluble particles in inhaled air on the alveolar macrophage (AM) mobility is analyzed. Kinetics of phagocytosis and the mobility of AM as a function of overloading is proposed. Three patterns of AM displacement on the surface of alveolus are distinguished depending on the loading of the surface with insoluble deposits, namely, directional being a result of surfactant activity, directional with a chemotactic bias, and purely random. The exit time of AM from alveolus under overloading is calculated.     

Deposition and Retention of Ultrafine Aerosol Particles in the Human Respiratory System. Normal and Pathological Cases

The particle number concentration in ambient air is dominated by nanometersized particles. Recent epidemiological studies report an association between the presence of nanoparticles in inhaled air at the workplace and acute morbidity and even mortality in the elderly. A theoretical model of deposition of 20 nm particles in the human alveolus was formulated. Gas flow structure and deposition rate were calculated for alveoli with different elastic properties of lung tissue. Data obtained in the paper show increased convective effects and diffusional rate of deposition of nanoparticles for alveoli with higher stiffness of the alveolar wall. The retention of deposited particles is also higher in these pathological alveoli. Results of our calculations indicate a possibility of existence of a positive loop of coupling in deposition and retention of nanoparticles in the lung with pathological changes.     

长江口及其邻近海域表层沉积物分布特征

根据长江口和杭州湾北部沉积物粒度分析数据,研究表层沉积物类型、分布以及分区特征。结果表明：沉积物的分布特征受水动力条件、地貌类型以及泥沙来源等因素的综合影响,长江口表层沉积物在纵向分布上,自西向东粒径从粗到细、分选程度从好至差,在横向上自北港－北槽－南槽,沉积物粒度逐渐变细;水流动力作用强的河槽和波浪作用强的口门浅滩沉积物粒度较粗,水动力较弱的河口边滩及口外海滨区沉积物则较细。根据沉积物分布特征可将长江口及其邻近海域分为河口分汊河段沉积区、河口拦门沙沉积区、口外海滨沉积区和杭州湾北部沉积区等4个沉积区。     

悬浮颗粒物在河道滞留塘系统中的沉降与沉积特性

河道滞留塘系统是以颗粒物沉降为污染物主要净化机理的污染河流净化技术.通过1年的现场试验研究,考察了悬浮颗粒物SS在滞留塘中的沉降和沉积特性.在本试验条件下,随水力停留时间(HRT)延长(HRT为1.5～7 h),SS平均去除率逐渐增加,介于20%～40%之间,而SS去除速率则快速降低,SS去除速率与进水SS浓度成正比关系;不同季节河水中SS的沉降性能有较大差异,冬季河水中有机物含量较低的易沉降颗粒物比例较春秋季河水的为高,滞留塘HRT的选择应以去除易沉降颗粒物为标准,本研究条件下5 h以内是适宜的HRT选择范围.在滞留塘动态运行中,SS的沿程沉积量呈指数规律下降.