Cesium accumulation by fish following acute input to lakes: a comparison of experimental and Chernobyl-impacted systems

An uptake parameter u (L kg⁻¹ d⁻¹) and a loss rate parameter k (d⁻¹) were estimated for the patterns of accumulation and loss of ¹³³Cs by three fish species following an experimental ¹³³Cs addition into a pond in South Carolina, USA. These u and k parameters were compared to similar estimates for fish from other experimental ponds and from lakes that received ¹³⁷Cs deposition from Chernobyl. Estimates of u from ponds and lakes declined with increasing potassium concentrations in the water column. Although loss rates were greater in the experimental ponds, the times required to reach maximum Cs concentrations in fish were similar between ponds and lakes, because ponds and lakes had similar retentions of Cs in the water column. The maximum Cs concentrations in fish were largely determined by initial Cs concentrations in the water column. These maximum concentrations in fish and the times required to reach these maxima are potentially useful indicators for assessments of risks to humans from fish consumption.     

Seasonal Variation of Inorganic Nutrient Uptake by Heterotrophic Bacterioplankton in Jiaozhou Bay,North China

The distribution patterns and factors affecting uptake rates and turnover times of dissolved inorganic nutrients by heterotrophic bacterioplankton (HB) in Jiaozhou Bay were studied based on in situ surveys and laboratory culturing. The uptake rates of dissolved inorganic phosphorus (DIP) and dissolved inorganic nitrogen (DIN) by HB are limited by the temperature of the water and the concentration of dissolved organic carbon. The turnover times of DIP and DIN by HB are regulated by the concentrations of the nutrients and the numbers of HB, which show significant spatiotemporal variability in Jiaozhou Bay. HB may aggravate the P-limitation of phytoplankton by competing for phosphorus in summer in Jiaozhou Bay. HB play an important role in the biogeochemical cycling of nutrients and may increase the N:P ratio and the accumulation of DIN, thereby accelerating the imbalance of the N:P ratio in Jiaozhou Bay.     

中国西部背景地区PM2.5化学组分特征及其对大气散射系数的影响

于2009年春、夏和秋季在全球大气本底基准监测站青海瓦里关同步观测了PM_(2.5)中主要化学成分和大气散射系数(bsp).结果显示,观测期间瓦里关PM_(2.5)浓度年均值为(12.6±12.0)μg·m~(-3),显著低于国家年均值标准.总水溶性无机离子和碳气溶胶浓度分别为(1.7±1.6)μg·m~(-3)和(3.2±1.0)μg·m~(-3),分别占PM_(2.5)浓度的16.5%和25.4%.基于IMPROVE经验公式,瓦里关bsp最主要的贡献因子是有机物(OM)和土壤尘(FS),贡献率分别达到48%和28%,其它组分对bsp的贡献率均小于10%.     

城市主要大气污染物时空分布特征及其相关性

为制订合理的大气污染物减排措施,利用中国环境监测总站公布的2015年1-12月299座城市实时发布的环境空气颗粒物（PM_2.5和PM₁₀）及气态污染物（CO、NO₂和SO₂）的质量浓度数据,对其进行了时空分布特征及其相关性研究.结果表明:① 2015年城市环境空气颗粒物污染严重,299座城市的ρ（PM_2.5）、ρ（PM₁₀）年均值分别主要集中在25~60和40~110 μg/m3,年均值达到GB 3095-2012《环境空气质量标准》二级标准的城市所占比例分别仅为24%和38%.② 城市大气污染物浓度具有明显的季节性特征,基本呈冬季>春秋季>夏季的趋势,其中冬季ρ（PM_2.5）、ρ（PM₁₀）、ρ（CO）、ρ（NO₂）、ρ（SO₂）分别为（73±27）（114±42）（1.49±0.61）（36±14）（42±33）μg/m3.③ 高ρ（PM_2.5）和ρ（PM₁₀）主要集中在华北平原,年均值分别为（70±16）（117±22）μg/m3;高ρ（CO）主要出现在山西省,年均值为（1.76±0.48）mg/m3;高ρ（NO₂）主要分布在京津冀、山东省和长江三角洲,年均值分别为（42±6）（39±9）（34±8）μg/m3;高ρ（SO₂）主要分布在山西、山东两省,年均值分别为（54±10）（41±16）μg/m3.④ Pearson相关系数研究表明,我国城市环境空气颗粒物与气态污染物具有较强的复合性,并且具有秋冬季明显强于春夏季的季节性特征.研究显示,我国城市大气污染具有较强的季节性、区域性与复合性,在降低环境空气颗粒物浓度的同时,对气态污染物的削减也不容忽视.      

新型钛酸钠填料对Cu2+、Pb2+、Zn2+和Cd2+的竞争吸附研究

以钛酸钠纳米纤维为原材料制备新型钛酸钠填料,对水体中常见的重金属(Cu~(2+)、Pb~(2+)、Zn~(2+)和Cd~(2+))进行竞争吸附实验研究,分析了四元、三元及双组分竞争吸附的选择性吸附特性,并探讨了4种金属离子在钛酸钠填料上的相互作用关系.结果显示,初始浓度较低时,4种离子之间的相互影响差异性不明显;随着初始浓度的升高,4种离子的竞争吸附分配系数都呈下降的趋势,竞争吸附系数大小顺序为:Pb~(2+)Cu~(2+)Zn~(2+)Cd~(2+),这与重金属离子的第一水解常数大小顺序一致.竞争吸附结果表明,水中存在Pb~(2+)时,其余3种离子的吸附都会被抑制,尤其对Zn~(2+)和Cd~(2+)的抑制更显著,即在钛酸钠填料上Pb~(2+)的竞争吸附能力最强,Cu~(2+)次之,而Zn~(2+)和Cd~(2+)的竞争吸附能力较弱,其吸附过程容易受到其他二价金属离子的抑制.     

第三代移动式大气环境激光雷达监测系统及其应用

介绍了第三代移动式大气环境激光雷达监测系统(AML-3)的结构和主要设备,展示了该系统在监测颗粒物、气态污染物方面的优势,并在中国环境科学研究院(40.04°N,116.41°E)开展了大气环境和气象监测试验。结果表明:与常规地面环境监测相比,AML-3实现了对常规污染物浓度和颗粒物消光系数的近地面、垂直与斜程廓线分布以及地面气象要素(温度、相对湿度、风速、风向和大气压)的可移动综合监测;随高度增加大气颗粒物后向散射系数呈先增大后减小的趋势,并在近地面出现极大值区,同时,晴天大风天气条件下气溶胶层高度较晴天低风速天气条件下增加明显;相对湿度较大时,颗粒物数浓度与相对湿度呈负相关,反之呈正相关。     

江苏省光伏电池行业污泥产排污特征

江苏省光伏电池行业的飞速发展带来了环境污染问题,特别是产排污泥等固体废物。目前缺乏关于光伏电池行业污泥的危险废物处理鉴定的管理标准、技术政策等,相关研究更是匮乏。经过调研考察,选取江苏省5家光伏电池企业作为代表进行分析计算,调查其产品类型及工艺流程,计算其产量和废水量、污泥产量,含氟污泥的氟化物浓度和重金属浸出浓度等。以一家企业为例,对产生氟化物的各生产环节进行定量计算。结果表明:光电伏电池企业污泥排污系数分布在1.2~6.4 t/MW,氟化物排污系数为1.28~2.05 mg/MW;污泥的产量不仅与废水量有关,还与废水的来源、处理工艺、污泥的含水率等有关;典型企业的氟化物产生量即产污系数为2.859 t/MW;污泥重金属浸出浓度较低。     

Multi-group approximation, scattering and calibration coefficients, uncertainty estimates and detection limits of a NaI(Tl)-based gamma spectrometry set-up for low-level activity analysis

This paper describes a quantitative radioactivity analysis method especially suitable for environmental samples with low-level activity. The method, consisting of a multi-group approximation based on total absorption and Compton spectra of gamma rays, is coherently formalized and a computer algorithm thereof designed to analyze low-level activity NaI(Tl) gamma ray spectra of environmental samples. Milk powder from 1988 was used as the example case. Included is a special analysis on the uncertainty estimation. Gamma sensitiveness is defined and numerically evaluated. The results reproduced the calibration data well, attesting to the reliability of the method. The special analysis shows that the uncertainty of the assessed activity is tied to that of the calibration activity data. More than 77% of measured 1461-keV photons of ⁴⁰K were counted in the range of clearly lower energies. Pile-up of single line photons (¹³⁷Cs) looks negligible compared to that of a two-line cascade (¹³⁴Cs). The detection limit varies with radionuclide and spectrum region and is related to the gamma sensitiveness of the detection system. The best detection limit always lies in a spectrum region holding a line of the radionuclide and the highest sensitiveness. The most radioactive milk powder sample showed a activity concentration of 21 ± 1 Bq g⁻¹for ¹³⁷Cs, 323 ± 13 Bq g⁻¹ for ⁴⁰K and no ¹³⁴Cs.     

A GIS-based technique for linking landscape characteristics to non-point source nitrogen export potential: implications for contributing areas management

A Nitrate-N Leaching Index (NLI) is calculated and the results indicate that nitrogen loss in the study area occurs through both leaching and surface runoff. A non-linear regression model of trapping efficiency was combined with a first order decay model to examine the impact of soil characteristics, slope, vegetative cover, land use and distance to streams on the spatial pattern of non-point source nitrogen inputs to streams. The model evaluates the statistical significance of each landscape factor and provides an easy interpretation of the landscape delivery ratio of nitrogen based on a pixel-based characterisation of the watershed. The model was validated by comparing the distributions of the observed and estimated monthly nitrogen concentrations. The exploratory GIS-based method presented here can improve the understanding of the impact of landscape characteristics on nitrate-nitrogen contributing areas and therefore assist watershed management efforts.     

Uranium uptake by hydroponically cultivated crop plants

Hydroponicaly cultivated plants were grown on medium containing uranium. The appropriate concentrations of uranium for the experiments were selected on the basis of a standard ecotoxicity test. The most sensitive plant species was determined to be Lactuca sativa with an EC₅₀ value about 0.1 mM. Cucumis sativa represented the most resistant plant to uranium (EC₅₀ = 0.71 mM). Therefore, we used the uranium in a concentration range from 0.1 to 1 mM.Twenty different plant species were tested in hydroponic solution supplemented by 0.1 mM or 0.5 mM uranium concentration. The uranium accumulation of these plants varied from 0.16 mg/g DW to 0.011 mg/g DW. The highest uranium uptake was determined for Zea mays and the lowest for Arabidopsis thaliana. The amount of accumulated uranium was strongly influenced by uranium concentration in the cultivation medium. Autoradiography showed that uranium is mainly localized in the root system of the plants tested. Additional experiments demonstrated the possibility of influencing the uranium uptake from the cultivation medium by amendments. Tartaric acid was able to increase uranium uptake by Brassica oleracea and Sinapis alba up to 2.8 times or 1.9 times, respectively. Phosphate deficiency increased uranium uptake up to 4.5 times or 3.9 times, respectively, by Brassica oleracea and S. alba. In the case of deficiency of iron or presence of cadmium ions we did not find any increase in uranium accumulation.