湛江港表层沉积物重金属的分布及其潜在生态风险评价

测定了湛江港12个表层沉积物样品中重金属Cu、Pb、Zn、Cd和Hg的含量,并与有机质含量进行双变量相关分析,同时应用Hakanson潜在生态风险指数法评价了沉积物重金属综合污染效应。结果表明:湛江港海域沉积物中Cu、Pb、Zn、Cd和Hg的含量范围分别为(9.5～27.2)×10-6、(24.4～68.1)×10-6、(15.7～115.2)×10-6、(未检出～0.202)×10-6和(0.026～0.167)×10-6,平均含量分别为17.6×10-6、36.9×10-6、67.0×10-6、0.065×10-6和0.091×10-6。除Pb与Hg之间,各种重金属元素之间均存在显著或极显著的相关关系。除Pb和Cd之外,各种重金属与有机质之间相关系数较高。Hakan-son潜在生态风险评价结果显示,湛江港表层沉积物重金属的潜在生态风险均较小,属轻微生态危害。5种重金属的潜在生态风险大小依次为:Hg>Pb>Cd>Cu>Zn。     

锂电池正极材料Li2FeS2的充放电机理与热稳定性

随着移动电子设备的飞速发展,锂电池作为新型的能源载体也取得了巨大的进步。与嵌入式氧化物正极材料相比,Li2FeS2不仅具有理想的循环性能,而且其理论容量达到400mAh／g,约为嵌入式氧化物正极材料的2倍。因此,本文从晶体结构、电化学性能、充放电机制、充放电过程中的离子电导率变化以及热稳定性等方面对Li2FeS2正极材料进行了详细的阐述。     

HJS—Ⅱ型噪声级记录处理仪

本文在国家环保局颁布了新的城市区域环境噪声测量标准后为适应新标准的需要，介绍了一种实用、新颖智能噪声监测仪－－ＨＪＳ－Ⅱ型噪声级记录处理仪。该仪器的最大特点是能利用过去广泛应用在环境监测领域中的面临淘汰的瞬时声级计作为一次仪表，用单板机技术组成二次仪表，实现监测仪器的更新换代。     

石灰对Cu、Cd、Pb、Zn复合污染土壤中重金属化学形态的影响

通过室内模拟试验,研究了石灰对不同处理(轻度、中度、重度)水平下土壤典型重金属Cu、Cd、Pb、Zn化学形态的影响。结果表明:添加石灰60 d后土壤pH值、有机质含量均明显升高,4种重金属化学形态总体呈现由水溶态、交换态等活性态向有机态、残渣态等非活性态转化的趋势,其生物活性、迁移能力及淋溶能力均有不同程度下降,表明石灰是土壤重金属复合污染的有效修复剂。同时,不同处理水平下土壤4种重金属对石灰添加量的响应有差异,其中土壤Cu、Cd生物活性受石灰添加量影响较小,但中度、重度处理下土壤Pb、Zn生物活性和Cd、Zn迁移能力以及轻度处理下土壤Pb迁移能力均随着石灰添加量增加而显著降低,轻度处理下重金属淋溶能力在0.2 g石灰时最低,在中度、重度处理下随着石灰添加量增加而降低。     

Effects of particle size on chemical speciation and bioavailability of copper to earthworms (Eisenia fetida) exposed to copper nanoparticles

To investigate the role of particle size on the oxidation, bioavailability, and adverse effects of manufactured Cu nanoparticles (NPs) in soils, we exposed the earthworm Eisenia ferida to a series of concentrations of commercially produced NPs labeled as 20- to 40-nm or < 100-nm Cu in artificial soil media. Effects on growth, mortality, reproduction, and expression of a variety of genes associated with metal homeostasis, general stress, and oxidative stress were measured. We also used X-ray absorption spectroscopy and scanning X-ray fluorescence microscopy to characterize changes in chemical speciation and spatial distribution of the NPs in soil media and earthworm tissues. Exposure concentrations of Cu NPs up to 65 mg kg(-1) caused no adverse effects on ecologically relevant endpoints. Increases in metallothionein expression occurred at concentrations exceeding 20 mg kg(-1) of Cu NPs and concentrations exceeding 10 mg kg(-1) of CuSO4. Based on the relationship of Cu tissue concentration to metallothionein expression level and the spatial distribution and chemical speciation of Cu in the tissues, we conclude that Cu ions and oxidized Cu NPs were taken up by the earthworms. This study suggests that oxidized Cu NPs may enter food chains from soil but that adverse effects in earthworms are likely to occur only at relatively high concentrations (> 65 mg Cu kg(-1) soil).     

CO2注气压力对CH4驱替特性影响实验研究*

为研究CO2驱替CH4过程中注气压力对气体解吸特性的影响,采用自主搭建的驱替实验平台,在0.6,0.8,1.0 MPa不同注气压力下进行驱替实验,研究CO2驱替CH4过程中煤层温度、气体浓度、置换效率和渗透率等变化规律。实验结果表明:提高CO2注气压力可提高CO2置换驱替煤层CH4的效果。随着注气压力增大,CH4累计解吸量增大,CO2突破时间越短,CO2封存量越大,置换效率升高,驱替比下降。注气压力为0.6,0.8,1.0 MPa时,CH4累计解吸量分别为90.2,94.1,97.8 L;CO2封存量分别为19.73,19.92,20.21 mL/g;置换效率由76.9%上升到80.2%再到82.9%,驱替比由3.28下降到3.17再到3.09。注气驱替CH4过程中煤层温度升高,可分为低速升温、高速升温和趋于平缓阶段。煤层温度最高变化量分别为9.4,11.5,12.7 ℃。同一注气压力下,煤层渗透率变化可分为缓慢增长、急剧下降和趋于稳定阶段。     

Spatial and seasonal variations in atrazine and metolachlor surface water concentrations in Ontario (Canada) using ELISA

Concerns regarding the impacts of pesticides on aquatic species and drinking water sources have increased demands on water quality monitoring programs; however the costs of sample analysis can be prohibitive. In this study we investigated enzyme-linked immunosorbent assay (ELISA) as a cost-effective, high through-put method for measuring pesticide concentrations in surface waters. Seven hundred and thirty-nine samples from 158 locations throughout Ontario were analysed for atrazine and metolachlor from April to October 2007. Concentrations ranged from <0.1 to 3.91 μg L⁻¹ (median = 0.12 μg L⁻¹) for atrazine and from <0.1 to 1.83 μg L⁻¹ (median = 0.09 μg L⁻¹) for metolachlor. Peak concentrations occurred in late spring/early summer, in rural agricultural locations, and decreased over the remainder of the growing season for both herbicides. About 3% of the samples that had ELISA results occurring above the limit of quantification (0.10 μg L⁻¹) were evaluated against gas chromatography-mass spectrometry (GC-MS). Linear regression analysis revealed a R² value of 0.88 and 0.39, for atrazine and metolachlor, respectively. ELISA tended to overestimate concentrations for atrazine and metolachlor, most likely because the ELISA kits also detect their metabolites. Atrazine data suggest that ELISA may be used complementary with GC-MS analysis to enhance the spatial and temporal resolution of a water quality monitoring study. The commercially available metolachlor ELISA kit requires further investigation. ELISA may be used to detect atrazine and metolachlor in surface water samples, but it is not recommended as a quantitative replacement for traditional analytical methods.     

Comparing universal kriging and land-use regression for predicting concentrations of gaseous oxides of nitrogen (NOx) for the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)

BACKGROUND: Epidemiological studies that assess the health effects of long-term exposure to ambient air pollution are used to inform public policy. These studies rely on exposure models that use data collected from pollution monitoring sites to predict exposures at subject locations. Land use regression (LUR) and universal kriging (UK) have been suggested as potential prediction methods. We evaluate these approaches on a dataset including measurements from three seasons in Los Angeles, CA. METHODS: The measurements of gaseous oxides of nitrogen (NOx) used in this study are from a "snapshot" sampling campaign that is part of the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air). The measurements in Los Angeles were collected during three two-week periods in the summer, autumn, and winter, each with about 150 sites. The design included clusters of monitors on either side of busy roads to capture near-field gradients of traffic-related pollution. LUR and UK prediction models were created using geographic information system (GIS)-based covariates. Selection of covariates was based on 10-fold cross-validated (CV) R(2) and root mean square error (RMSE). Since UK requires specialized software, a computationally simpler two-step procedure was also employed to approximate fitting the UK model using readily available regression and GIS software. RESULTS: UK models consistently performed as well as or better than the analogous LUR models. The best CV R(2) values for season-specific UK models predicting log(NOx) were 0.75, 0.72, and 0.74 (CV RMSE 0.20, 0.17, and 0.15) for summer, autumn, and winter, respectively. The best CV R(2) values for season-specific LUR models predicting log(NOx) were 0.74, 0.60, and 0.67 (CV RMSE 0.20, 0.20, and 0.17). The two-stage approximation to UK also performed better than LUR and nearly as well as the full UK model with CV R(2) values 0.75, 0.70, and 0.70 (CV RMSE 0.20, 0.17, and 0.17) for summer, autumn, and winter, respectively. CONCLUSION: High quality LUR and UK prediction models for NOx in Los Angeles were developed for the three seasons based on data collected for MESA Air. In our study, UK consistently outperformed LUR. Similarly, the 2-step approach was more effective than the LUR models, with performance equal to or slightly worse than UK.     

Assessment of heavy metal pollution from a Fe-smelting plant in urban river sediments using environmental magnetic and geochemical methods

Environmental magnetic proxies provide a rapid means of assessing the degree of industrial heavy metal pollution in soils and sediments. To test the efficiency of magnetic methods for detecting contaminates from a Fe-smelting plant in Loudi City, Hunan Province (China) we investigated river sediments from Lianshui River. Both magnetic and non-magnetic (microscopic, chemical and statistical) methods were used to characterize these sediments. Anthropogenic heavy metals coexist with coarse-grained magnetic spherules. It can be demonstrated that the Pollution Load Index of industrial heavy metals (Fe, V, Cr, Mo, Zn, Pb, Cd, Cu) and the logarithm of saturation isothermal remanent magnetization, a proxy for magnetic concentration, are significantly correlated. The distribution heavy metal pollution in the Lianshui River is controlled by surface water transport and deposition. Our findings demonstrate that magnetic methods have a useful and practical application for detecting and mapping pollution in and around modern industrial cities.