应用因子分析法分析对虾养殖水质

本文应用因子分析法分析了影响对虾养成期间水源和养殖用水的主要污染因子。通过分析,浮游植物、细菌、非离子氨和亚硝酸盐氮等因子在不同的水体中表现出不同程度的污染。     

When and how personality predicts workplace safety: Evaluating a moderated mediation model

Introduction: Though previous research has linked personality and workplace safety, results have been inconsistent. Aims of the present study were to understand when and how personality factors predict safety performance. Methods: With 492 working adults, a moderated mediation model was tested whereby the relationship between personality and safety behavior was mediated by safety motivation and moderated by situation strength (i.e., safety climate perceptions). Results: Findings indicate that, aside from extraversion, safety motivation mediated all relationships between FFM personality traits and safety behavior. The mediated relationship between conscientiousness and safety motivation was attenuated by safety climate perceptions. However, relationships between all other personality traits and safety motivation, and ultimately safety behavior, remained consistent or, in the case of extraversion, was augmented at higher levels of safety climate perceptions. Conclusion: Results demonstrate an empirical basis for how and when personality translates into safety behavior at work. Additionally, findings provide a theoretical explanation for the mixed results among previous studies of personality’s relationship with safety outcomes. Implications are discussed for employee selection and training practices in safety-intensive industries.     

Copper and cadmium effects on growth and extracellular exudation of the marine toxic dinoflagellate Alexandrium catenella: 3D-fluorescence spectroscopy approach

In this study, metal contamination experiments were conducted to investigate the effects of copper and cadmium on the growth of the marine toxic dinoflagellate Alexandrium catenella and on the production of dissolved organic matter (Dissolved Organic Carbon: DOC; Fluorescent Dissolved Organic Matter: FDOM). This species was exposed to increasing concentrations of Cu²⁺ (9.93 × 10⁻¹⁰–1.00 × 10⁻⁷ M) or Cd²⁺ (1.30 × 10⁻⁸–4.38 × 10⁻⁷ M), to simulate polluted environments. The drastic effects were observed at pCu²⁺ = 7.96 (Cu²⁺: 1.08 × 10⁻⁸ M) and pCd²⁺ = 7.28 (Cd²⁺: 5.19 × 10⁻⁸ M), where cyst formation occurred. Lower levels of Cu²⁺ (pCu²⁺ > 9.00) and Cd²⁺ (pCd²⁺ > 7.28) had no effect on growth. However, when levels of Cu²⁺ and Cd²⁺ were beyond 10⁻⁷ M, the growth was totally inhibited. The DOC released per cell (DOC/Cell) was different depending on the exposure time and the metal contamination, with higher DOC/Cell values in response to Cu²⁺ and Cd²⁺, comparatively to the control. Samples were also analyzed by 3D-fluorescence spectroscopy, using the Parallel Factor Analysis (PARAFAC) algorithm to characterize the FDOM. The PARAFAC analytical treatment revealed four components (C1, C2, C3 and C4) that could be associated with two contributions: one, related to the biological activity; the other, linked to the decomposition of organic matter. The C1 component combined a tryptophan peak and a characteristic humic substances response, and the C2 component was considered as a tryptophan protein fluorophore. The C3 and C4 components were associated to marine organic matter production.     

Exposure to hazardous air pollutants along Oba Akran road, Lagos-Nigeria

We measured toxic air pollutants along Oba Akran road in Lagos to evaluate pedestrian exposure. PM₁₀, CO, O₃, NO₂, SO₂, CH₄, noise, wind velocity and temperature were measured simultaneously with portable analyzers. Our results showed that pedestrian exposure to PM₁₀ (with an average of 274.6 μg m⁻³ for all samples) and CO (with an average of 19.27 ppm for all samples) was relatively high. CO is a traffic-related pollutant, so the influence of the local traffic emissions on CO levels is strong. The high concentration of the PM₁₀ measured at the three environments also suggests that the traffic is a major source of ultrafine particles. The overall average concentrations for the 72-day experimental period for SO₂, NO₂ and O₃ are 101.2, 62.5 and 0.32 ppb respectively, all of which are below the US national ambient air quality standards. Strong traffic impacts can be observed from the concentrations of some of these pollutants measured in these three environments. Most clear is a reflection of diesel truck traffic activity rich in black carbon concentrations. The diurnal variation of O₃ and NO₂ also showed that NO₂ was depleted by photochemically formed O₃ during the day and replenished at night as O₃ was destroyed. A multivariate statistical analysis (Principal Component Analysis, Factor Analysis) has been applied to a set of data in order to determine the contribution of different sources. It was found that the main principal components, extracted from the air pollution data, were related to gasoline combustion, oil combustion and ozone interactions.     

Analysis of perfluoroalkyl carboxylates in vacuum cleaner dust samples in Japan

Perfluorooctanoic acid (PFOA) has long been an environmental contaminant of concern owing to its potential health risk. However, exposure to perfluorinated carboxylic acids (PFCAs) other than PFOA is not well understood. In this study, we investigated the concentrations of PFCAs in vacuum cleaner dust in Japan to measure the PFCAs contamination in an indoor environment. Most of the 77 samples contained PFCAs with 6-13 carbon atoms. The median concentration of perfluorononanoic acid (PFNA, 23.2 ng g⁻¹) was highest among PFCAs, followed by PFOA (20.8 ng g⁻¹) and perfluoroundecanoic acid (PFUnDA, 12.9 ng g⁻¹). The 90th percentile concentrations of PFNA, PFUnDA and perfluorotridecanoic acid (PFTrDA) were 948, 283 and 110 ng g⁻¹, respectively, and these were detected at greater concentrations than neighboring, even-numbered PFCAs. The proportion of long-chain PFCAs in vacuum cleaner dust from Japan was relatively higher than those reported for other countries. Factor analysis showed three independent factors. Odd-numbered long chain PFCAs (PFNA, PFUnDA and PFTrDA), which can correspond to factor 1, were major components of PFCAs in vacuum cleaner dust. Short chain PFCAs (factor 2) and even numbered long chain PFCAs (factor 3) were also statistically separated. These findings suggest that there are several sources of PFCAs with different origins in indoor environment. Further investigations into the origins of PFCAs are needed to evaluate indoor contamination with PFCAs.     

苏州河近20年水质状况研究

通过对近20年来上海市苏州河沿程13个断面的常规水质监测教据进行整理分析,总结各常规监测指标项目的变化趋势.并通过分析沿程水质变化和几项重要水质指标的比值变化并探讨了变化的原因,从而得出上海市苏州河水质得到明显改善的结论.     

环境因子对伊乐藻光合作用影响的试验研究

本文研究了温度、pH值、光照三种环境因子对伊乐藻光合作用的影响,实验得出伊乐藻顶枝光合作用的产氧量与温度、光照呈曲线相关,与pH值呈线性负相关。华南河网地区的环境因子基本处于伊乐藻适宜的生长范围之内,选择其作为该地区受损水域生态修复的沉水植物是比较合适的。     

Assessment of PM10 Enhancement by Yellow Sand on the Air Quality of Taipei, Taiwan in 2001

The impact of long-range transport of yellow sand from Asian Continent to the Taipei Metropolitan Area (Taipei) not only deteriorates air quality but also poses health risks to all, especially the children and the elderly. As such, it is important to assess the enhancement of PM₁₀ during yellow sand periods. In order to estimate PM₁₀ enhancement, we adopted factor analysis to distinguish the yellow-sand (YS) periods from non-yellow-sand (NYS) periods based on air quality monitoring records. Eight YS events were identified using factor analysis coupling with an independent validation procedure by checking background site values, examining meteorological conditions, and modeling air mass trajectory from January 2001 to May 2001. The duration of each event varied from 11 to 132 h, which was identified from the time when the PM₁₀ level was high, and the CO and NO _x levels were low. Subsequently, we used the artificial neural network (ANN) to simulate local PM₁₀ levels from related parameters including local gas pollutants and meteorological factors during the NYS periods. The PM₁₀ enhancement during the YS periods is then calculated by subtracting the simulated PM₁₀ from the observed PM₁₀ levels. Based on our calculations, the PM₁₀ enhancement in the maximum hour of each event ranged from 51 to 82%. Moreover, in the eight events identified in 2001, it was estimated that a total amount of 7,210 tons of PM₁₀ were transported by yellow sand to Taipei. Thus, in this study, we demonstrate that an integration of factor analysis with ANN model could provide a very useful method in identifying YS periods and in determining PM₁₀ enhancement caused by yellow sand.     

Natural disasters and older US adults with disabilities: implications for evacuation

We analysed 2003 and 2004 Behavioral Risk Factor Surveillance System (BRFSS) data from New Orleans-Metairie-Kenner, LA to produce estimates of the number of community dwelling people aged 65 years or older with a disability and requiring special equipment.(4) Approximately, 47,840 (31.6 per cent) older adults with a disability and 24,938 (16.6 per cent) older adults requiring the use of special equipment were community dwelling and might require assistance to evacuate or a shelter that could accommodate special equipment. Older adults who need special equipment were likely to be female, unmarried and white, and to rate their health as fair or poor. Personnel who plan and prepare for evacuations and temporary shelter during disasters need baseline information on the number of older adults with a disability or who require special equipment. A surveillance system, such as the BRFSS, gathers information that planners can use to prepare for and to deliver services.     

环境监测优化布点的综合因子得分法

在主成分分析的基础上提出了一种新的环境优化布点的方法——综合因子得分法。该方法先将多维环境指标矩阵投影到其主成分空间,然后将其与对应的方差贡献率进行加权求得综合因子得分,综合因子得分值越大表示该监测点综合环境质量越差,根据综合因子得分值的大小就可对监测点样本集进行合理分类。应用实例表明,该方法用于环境监测优化布点,具有计算简便、快速,计算结果稳健,分析合理,易于推广等优点。