高层建筑、建筑材料与室内氡污染

对高层建筑连续一年的室内氡浓度监测分析，发现室内氡浓度与建筑材料，建筑结构以及人们的生活习惯密切相关。     

Locational Errors in Maps from Environmental Surveys and Their Implications for Information Extraction

1.Information on all maps, including those which depict characters of the natural environment, is subject to locational error. 2.Locational errors on field-sketched maps are attributable to inaccuracies both in the base map itself and in the method of locating and recording features onto the base map. 3.Two main sources of error associated with field sketch mapping were quantified using the River Corridor Survey maps as an example. First, channel widths are routinely exaggerated on these maps to allow recording of in-channel features. Distortions of river bank length of the order of 25% were shown to arise from a four-fold exaggeration of the width of a sinuous channel. Second, discrepancies in feature location of the order of 20% were found along a 500 m river stretch, although errors could be reduced to approximately 2% if undistorted, large-scale base maps were used. 4.An abundance scale appropriate to the inherent locational inaccuracy was devised to extract semi-quantitative information from River Corridor Surveys recorded on distorted base maps. Application of this scale to 29 River Corridor Survey maps of a 14·5 km river corridor produced a useful representation of environmental gradients within the corridor. 5.With the increasing potential to integrate and analyse environmental information within large computer databases including Geographic Information Systems, it is essential that the level of accuracy is recognised and quantified so that the errors can be allowed for in the development of methods of extracting information from the maps.     

Assessment of the state of vegetation and prognosis of its anthropogenic dynamics in specially protected nature areas on the basis of Phytoecological mapping

Methodological approaches to the construction of phytoecological maps are described regarding specially protected nature areas and their specific features. Such maps offer new possibilities for the assessment and analysis of current and predicted states of vegetation.     

Development and calibration of a portable radon sampling system for groundwater Rn activity concentration measurements

The assembling of a system for field sampling and activity concentration measurement of radon dissolved in groundwater is described. Special attention is given in presenting the calibration procedure to obtain the radon activity concentration in groundwater from the raw counting rate registered in a portable scintillation detector and in establishing the precision of the activity concentration measurements. A field procedure was established and the system tested during one year of monthly observations of ²²²Rn activity concentration in groundwater drawn from two wells drilled on metamorphic rocks exposed at Eastern São Paulo State, Brazil. The observed mean ²²²Rn activity concentrations are 374 Bq/dm³ in one well and about 1275 Bq/dm³ in the other one. In both wells the ²²²Rn activity concentrations showed a seasonal variation similar to variations previously reported in the literature for the same region.     

Deposition Loads of Sulphur and Nitrogen in Germany

High spatial resolution maps of deposition loads in Germanyare produced as an input for abatement strategy research andfor critical loads exceedance calculations on a nationalscale. In this paper methods ofmapping total deposition loads in Germany and preliminarymaps of nitrogen and sulphur deposition loads for the year1993 are presented. A comparison of these mapping resultswith EMEP deposition mapping results has been carried out.The differences in the results of the German national and theEuropean EMEP mapping, due to different databases anddifferent methods, are quantified and discussed. Highresolution maps of deposition loads are compared to Europeanlow resolution maps on the same temporal and spatial scale,assuming that on average both should lead to similar results.However, the average differencescalculated for 23 EMEP 150 × 150 km² grid cells over Germanywere found to be 33% higher for sulphur (S) total depositionby the German method 65% higher for S dry deposition and1% lower for S wet deposition. The German results fornitrogen (N) total deposition are 2% higher than the EMEPresult 22% higher for N dry deposition and 10% lower for Nwet deposition.     

Critical Loads Exceedances in Germany and their Dependence on the Scale of Input Data

Critical load exceedances have been used as an effects-related parameter for guiding international air emission control negotiations. High-resolution critical load data are combined with low-resolution deposition data.This article shows that doing so systematicallyunderestimates `true' critical load exceedances as obtainedfrom combining critical load and deposition data of identicalhigh spatial resolution. 95th percentile critical loadexceedances in EMEP grids based on high resolution depositiondata are 60 and 150% higher (mean values for nutrientnitrogen and acidity, respectively) than critical loadexceedances based on the low resolution EMEP depositionmodel. The latter are used in international negotiations. Differences in individual EMEP grid squares vary betweeninsignificantly different from zero and 340%, depending onregional deposition and critical load characteristics andcritical load types (nutrient nitrogen versus acidity).Exceedances based on high-resolution deposition values arealso compared to EMEP grid averages of these values forforests only. This comparison excludes the effect ofsystematically higher depositions to forests. Still, thescale difference of (averaged, low-resolution) deposition and(high-resolution) critical loads data yields underestimatesof the 95th percentiles by on average ca. 20%.These systematic errors due to the scale dependence should beborne in mind when interpreting effects of internationalemission control measures.     

Mapping ecosystem services potential in Lithuania

This research presents a geographic information systems (GIS)-based method for ecosystem services (ES) potential assessment in a case study for the Lithuanian national territory. The ES potential was assessed for 31 CORINE land-cover classes (CLC2006) together with 31 ES categorized into regulating, provisioning and cultural ES. An expert-based ranking approach using a two-dimensional ES matrix and a geospatial analysis was applied to determine total ES potential, spatial patterns and relations among multiple ES. Results showed that forest areas had the highest potential for ES delivery whereas ES potential in urban areas was lowest. The spatial autocorrelation of regulating and cultural ES were dispersed while provisioning ES were significantly clustered. The principal component analysis (PCA) identified five factors with distinctive geospatial distribution: Factor 1 – forest areas, Factor 2 – aquatic environments, Factor 3 – livestock farming and energy production, Factor 4 – agricultural food production and Factor 5 – mineral extraction sites. The plotting of Factors 1 and 2 accounted for 72.81% of variance and identified three ES bundles composed by specific ES types: Bundle 1 – forest ecosystems, Bundle 2 – marine and freshwater ecosystems and Bundle 3 – mixed provisioning ecosystems. Trade-offs occur between regulating and cultural ES against the provisioning ES crop production and livestock farming. We conclude that the presented ES assessment can support decision-makers in the development of strategies for natural resources management at national and regional level, support the identification of trade-offs and synergies among ES types and foster ES research in Lithuania.     

Biomonitoring of the distribution of dust emissions by means of a new SEM/EDX technique

A new application of the Scanning Electron Microscope (SEM) equipped with an Energy Dispersive X-ray Microanalyzer (EDX) has been developed to study the distribution of airborne dust emissions. This technique makes it possible to identify the particles and measure the amount of dust deposition on the surface of the biomonitoring material. Pine bark or needles and moss can easily be used as the study material. A map indicating pollution levels and distribution can be drawn on the basis of the measured data.     

Cadmium-hazard mapping using a general linear regression model (Irr-Cad) for rapid risk assessment

Research undertaken over the last 40 years has identified the irrefutable relationship between the long-term consumption of cadmium (Cd)-contaminated rice and human Cd disease. In order to protect public health and livelihood security, the ability to accurately and rapidly determine spatial Cd contamination is of high priority. During 2001–2004, a General Linear Regression Model Irr-Cad was developed to predict the spatial distribution of soil Cd in a Cd/Zn co-contaminated cascading irrigated rice-based system in Mae Sot District, Tak Province, Thailand (Longitude E 98°59′–E 98°63′ and Latitude N 16°67′–16°66′). The results indicate that Irr-Cad accounted for 98% of the variance in mean Field Order total soil Cd. Preliminary validation indicated that Irr-Cad ‘predicted’ mean Field Order total soil Cd, was significantly (p < 0.001) correlated (R ² = 0.92) with ‘observed’ mean Field Order total soil Cd values. Field Order is determined by a given field's proximity to primary outlets from in-field irrigation channels and subsequent inter-field irrigation flows. This in turn determines Field Order in Irrigation Sequence (Field Order^IS). Mean Field Order total soil Cd represents the mean total soil Cd (aqua regia-digested) for a given Field Order^IS. In 2004–2005, Irr-Cad was utilized to evaluate the spatial distribution of total soil Cd in a ‘high-risk’ area of Mae Sot District. Secondary validation on six randomly selected field groups verified that Irr-Cad predicted mean Field Order total soil Cd and was significantly (p < 0.001) correlated with the observed mean Field Order total soil Cd with R ² values ranging from 0.89 to 0.97. The practical applicability of Irr-Cad is in its minimal input requirements, namely the classification of fields in terms of Field Order^IS, strategic sampling of all primary fields and laboratory based determination of total soil Cd (T-Cd_P) and the use of a weighed coefficient for Cd (Coeff_W). The use of primary fields as the basis for Irr-Cad is also an important practical consideration due to their inherent ease of identification and vital role in the classification of fields in terms of Field Order^IS. The inclusion of mean field order soil pH (1:5_water) to the Irr-Cad model accounted for over 79% of the variation in mean Field Order bio-available (DTPA (diethylenetriaminepentaacetic acid)-extractable) soil Cd. Rice is the staple food of countries of the Greater Mekong Sub-region (includes Vietnam, Myanmar, Lao PDR, Thailand and Yunnan Province, China). These countries also have actively and historically mined Zn, Pb, and Cu deposits where Cd is likely to be a potential hazard if un-controlled discharge/runoff enters areas of rice cultivation. As such, it is envisaged that the Irr-Cad model could be applied for Cd hazard assessment and effectively form the basis of intervention options and policy decisions to protect public health, livelihoods, and export security.     

交通噪声地图的声源反演及修正计算

交通噪声地图是环境噪声管理的重要工具,为了减小大范围噪声地图绘制时产生的预测误差,提出了一种基于监测数据的声源特性反演算法,给出了噪声地图修正计算的详细方法和步骤.该算法利用原始噪声地图的计算结果参与计算来提升修正求解效率,避免对预测模型参数进行直接修改,保证修正区域的计算结果符合预测模型中的声传播规律.在自主研发的噪声地图绘制软件中实现该反演修正算法,并对北京某示范区噪声地图的求解和修正计算来验证算法有效性.6组实验结果分析得出,该算法在监测点位置处的修正误差小于1.1dB,而在非监测点位置处也均对原始预测值进行了不同程度的修正改善,其误差程度与监测点主要声源对监测点的贡献率及监测点的影响范围有关,在监测点控制范围内的预测值误差在2.5dB以下.实验证明该算法能够有效的对交通噪声地图进行修正更新计算,并在保证满足预测模型声传播规律不变的情况下改善噪声地图求解质量.