Spatial and Temporal Variations in Trace Metal Concentrations in the Cockle, Austrovenus Stutchburyi from Otago, New Zealand

This is the first comprehensive study of sources of variation in metal concentrations within the whole tissues of a shallow burrowing, filter-feeding intertidal clam, Austrovenus stutchburyi. Samples were collected from 12 sites in April, August, November and February in 1993–1994 in the vicinity of Otago Harbour and Peninsula, New Zealand. Total tissue trace metal concentrations (μg g⁻¹ dry weight) were measured in individual animals for the essential metals : Mn, Cu, Zn, Ni and the non-essential Cr using trace-metal clean acid-digestion and ICP-OAES techniques. Average metal concentrations were 3–60 μg g⁻¹ for Cu, 40–118 μg g⁻¹ for Zn, 2–12 μg g⁻¹ for Mn, 5–35 μg g⁻¹ for Ni and 1–44 μg g⁻¹ for Cr. These levels decreased with body weight and differed amongst sites except for Cr in February (mid-summer). Highest concentrations occurred at sites close to a city (Dunedin) and within the central harbour region although the Cu, Zn, Ni and Cr concentrations did not correlate with the environmental gradient or season. At one coastal site, samples of both the blue mussel Mytilus galloprovincialis and cockles gave similar trends in trace metal levels. These results suggest that the cockle could be a useful trace metal biomonitor within NZ estuaries.     

The Influence of Linear Elements on Plant Species Diversity of Mediterranean Rural Landscapes: Assessment of Different Indices and Statistical Approaches

This paper mainly aims to study the linear element influence on the estimation of vascular plant species diversity in five Mediterranean landscapes modeled as land cover patch mosaics. These landscapes have several core habitats and a different set of linear elements -habitat edges or ecotones, roads or railways, rivers, streams and hedgerows on farm land- whose plant composition were examined. Secondly, it aims to check plant diversity estimation in Mediterranean landscapes using parametric and non-parametric procedures, with two indices: Species richness and Shannon index.Land cover types and landscape linear elements were identified from aerial photographs. Their spatial information was processed using GIS techniques. Field plots were selected using a stratified sampling design according to relieve and tree density of each habitat type. A 50×20 m² multi-scale sampling plot was designed for the core habitats and across the main landscape linear elements. Richness and diversity of plant species were estimated by comparing the observed field data to ICE (Incidence-based Coverage Estimator) and ACE (Abundance-based Coverage Estimator) non-parametric estimators.The species density, percentage of unique species, and alpha diversity per plot were significantly higher (p < 0.05) in linear elements than in core habitats. ICE estimate of number of species was 32% higher than of ACE estimate, which did not differ significantly from the observed values. Accumulated species richness in core habitats together with linear elements, were significantly higher than those recorded only in the core habitats in all the landscapes. Conversely, Shannon diversity index did not show significant differences.     

基于可拓物元模型的安全经济开采评价指标体系的构建及应用

首先根据安全经济开采的内涵,建立以人员安全、设施设备安全、开采环境安全、安全投资和安全管理为主要制约因素的安全经济开采评价模型,并运用改进的层次分析法确定人员可靠度对安全经济开采水平影响最大,开采环境可靠度影响最小。其次,采用函数拟合法、专家打分法、标准化打分法量化安全经济开采水平指标,并将安全经济开采水平划分为3个等级。最后,运用可拓物元模型方法,得出某铁矿安全经济开采水平为二级,无重大经济损失,与实际吻合。     

Effects of physical exercise on musculoskeletal disorders,stress and quality of life in workers

Background. The effect of physical exercise in the workplace (PEW) on health promotion of workers is contradictory. Objective. To evaluate the effects of the PEW in musculoskeletal disorders (MSDs), perception of stress and quality of life in workers. Methods. The participants were divided into two groups: control group (n?=?46) including non-participant workers of the PEW program, and PEW group (n?=?50) including workers who regularly participate in the exercise program. All workers answered the Nordic general questionnaire, the perceived stress scale and the quality-of-life questionnaire. Results. The PEW group reported a lower prevalence of MSDs for the trunk in the last 7 days and 12 months (p?=?0.021 and p?=?0.001, respectively), and for the upper limbs in the last 12 months (p?=?0.001) compared with the control group. The results for the perception of stress and quality of life showed no significant differences between the groups. Conclusion. PEW is a potential method to reduce MSDs in workers, but it was not efficient in reducing stress levels or improving the quality of life of the workers.     

电气伤亡事故的主客体场景指标设计及统计规律

为合理预防控制电气伤亡事故的发生提供依据,通过检索查阅国内外相关文献和政府网站公布的电气伤亡事故和案例情况描述,选取105起典型电气伤亡事故案例进行统计与分析;针对电气伤亡事故涉及的主客体场景要素,对其进行筛选、分类、排序及指标设计,形成系统的电气伤亡事故指标体系;结合现实情况对统计结果进行原因分析,根据统计结果,得到电气伤亡事故发生的一般规律,据此提出安全管理中需要关注与重视之处,以此来预防电气伤亡事故的发生。     

不同自燃倾向性煤的指标气体产生规律实验研究

为研究不同自燃倾向性煤的自燃指标气体变化规律,提高对煤早期自燃预测预报的准确度,采用程序升温实验系统,得到内蒙古褐煤、神东长焰煤、河南气煤及枣庄焦煤4种不同变质程度煤的氧化时间随温度的变化关系,以及指标气体浓度在煤氧化过程中的变化规律。结果表明:自燃倾向性最高的褐煤应以CO和乙烯作为煤自燃早期预报的首选指标气体;易自燃的长焰煤应采用乙烯和烯烷比为主、以CO为辅的煤自燃判定指标;自燃倾向性较低的气煤应以乙烯和烯烷比作为煤自燃预报指标;CO是自燃倾向性最低的焦煤的最佳自燃预报指标气体。     

城市燃气事故生命损失风险可接受标准研究

为提高我国城市燃气风险管理水平,帮助风险管理者科学地分配维护资源,探讨提出了我国城市燃气事故生命损失风险可接受标准;采用AIR指标法确定了个人风险可接受标准范围为(2.397 3×10-7,4.794 7×10-7);运用F-N曲线法结合ALARP原则,确定了社会风险可接受标准,最大可接受风险的截距为4.794 7×10-7,可忽略风险的截距为4.794 7×10-8;利用生活质量指数推导模型,计算了达到城市燃气事故可忽略风险水平的最优安全投入成本;基于风险动态原则,分析提出了风险可接受标准的更新办法。研究结果表明:我国城市燃气行业可接受风险水平低于煤矿、大坝、化工等危险行业的可接受风险水平;虽然我国城市燃气事故死亡率逐年降低,但要达到可忽略的风险水平,每年还需大量安全资金投入。     

不同煤层煤氧化自燃性实验分析

为研究不同煤层煤自然发火特征的异同性及规律,以淮南矿区1号、3号、6号、13号煤层为研究对象,通过自然发火实验,对不同煤层煤的自然发火期周期、煤样70℃时放热强度和R70值进行分析。研究结果表明:4个不同煤层煤样自燃性由强到弱依次为:3煤>6煤>1煤>13煤;变质程度相近的4个煤层,3煤自然发火期最短,这与煤体中硫分和水分含量高有关;13煤变质程度较高,且前期放热强度、耗氧速率增长缓慢,其自燃性较弱;4个不同煤层煤的耗氧速率、CO,CO2产生率,以及C2H4/C2H6值随煤温升高具有相似的变化规律;煤中CH4气体大量解吸出现于煤温60℃之前,煤中灰分在80~120℃开始逐渐吸热融化,解析和融化均会抑制煤氧接触并且减小煤氧反应放热总量。     

基于Landsat 8遥感数据的天津市地表温度反演

以Landsat 8遥感数据为数据源,进行天津市地表温度反演研究。首先采用单通道算法反演地表温度,并利用均值标准差法进行温度分级。然后建立不同温度等级面积比例的估算模型。再通过随机样点,从不同温度等级和土地覆盖类型2个角度,分别建立并比较不同类样点的地表温度与各指数的拟合模型。结果表明:次高温区域面积比例与人口密度、人均GDP都具有较高的决定系数;地表温度与NDVI、BAEM的二元线性回归决定系数高于地表温度与单一指数的决定系数;将样点分类后,低温点与MNDBI的决定系数高于其他温度等级样点,水域和植被样点与各种指数的决定系数高于其他地物类型样点。     

基于MERIS数据的太湖悬浮物与叶绿素a遥感估算研究

基于MERIS数据,采用最大叶绿素指数算法,分别建立太湖悬浮物浓度与叶绿素a浓度的估算模型。经误差分析证明,该模型适宜检测悬浮物与叶绿素a质量浓度范围分别为15 g/m3～80 g/m3与10 mg/m3～20 mg/m3的水域,可用于太湖水体悬浮物与叶绿素a的MERIS遥感估算。