Electrochemical decolourisation of structurally different dyes

The electrochemical decolourisation of structurally different dyes (bromophenol blue, indigo, poly R-478, phenol red, methyl orange, fuchsin, methyl green and crystal violet) by means of the application of DC electric current was assessed. It was found that the electrochemical process allowed a colour removal of all dyes studied, although the decolourisation rate largely depended on the chemical structure of the different dyes. Nearly complete decolourisation was achieved for bromophenol blue followed by methyl orange and methyl green, whereas phenol red was hardly decolourised (30% in 60 min). In mixtures of two dyes, the decolourisation rate became similar for both dyes. However, the addition of a redox mediator, (Co(2+/3+)) clearly enhanced the degradation rate of all tested dyes, but the simplest dye molecules were attacked firstly, followed by dyes with more complex chemical structures. The results revealed the suitability of the process to effectively decolourise wastewaters from dyeing process.     

The interactive effects of low pH, toxic metals, and DOC on a simulated temporary pond community

The effects of pH, potentially toxic metals, and dissolved organic carbon (DOC) on a freshwater, palustrine wetland assemblage (three amphibian species, one mosquito genus, and 18 genera of algae) were examined in 500 liter outdoor mesocosms. The design was fully factorial and exposure levels were set to represent concentrations that occur naturally in temporary ponds in central Pennsylvania, an acid-impacted region of the USA. Water chemistry was precisely regulated by use of an artificial pond water rather than using stream water or well water with partially unknown composition. Jefferson (Ambystoma jeffersonianum) and spotted salamanders (A. maculatum) were negatively impacted by low pH and high metal concentrations. Wood frogs (Rana sylvatica) were negatively impacted by high DOC and low pH. These negative effects included increased time to metamorphosis and decreased survival and wet body mass at metamorphosis. Mosquito emergence was unaffected by pH, metals, or DOC. All three abiotic factors (metals, pH, and DOC) interacted to determine algal taxonomic composition. Hence, abiotic conditions may determine amphibian reproductive success both directly and indirectly, via effects on algae, since a primary food source of salamanders, zooplankton, are affected by changes in algal composition. These complex interactions should be considered in evaluating the possible toxicity of pond waters to fauna and flora. Until now, pH alone has been considered the primary limiting factor for amphibians breeding in temporary ponds.     

从碳源、碳流和碳汇着手发展低碳经济

<正>低碳经济的核心理念是减少人类的经济活动所产生的、排放到空气中的二氧化碳。通过对低碳经济的宗旨、发展模式以及发展经验的总结,"低碳经济"可划分为碳源、碳流和碳汇3部分。根据《联合国气候变化框架公约》,碳汇是从大气中清除二     

浅析加油站施工现场HSE管理

随着全球经济一体化的加速发展以及信息技术的革命,HSE管理体系已成为世界性的潮流与主题。尤其在我国加入WTO之后,石油化工行业在面临国内市场严峻挑战的同时,还将面临国际市场更加剧烈的冲击。     

春季中国南黄海与东海海水中溶解氨基酸的分布和组成

以2011年3月南黄海与东海部分海域为研究对象,对其中48个站位海水样品的总溶解氨基酸(THAA)、溶解结合氨基酸(DCAA)、溶解游离氨基酸(DFAA)的浓度分布和组成进行了研究。结果表明:表层海水中THAA的平均浓度为2.981.72 mol/L(1.27~8.54 mol/L),DCAA的平均浓度为2.761.63 mol/L(0.91~7.70 mol/L),DFAA的平均浓度为0.310.21 mol/L(0.11~1.14 mol/L)。溶解态氨基酸水平分布的趋势大致呈现出近岸高、远岸低的特点,其中,DCAA与THAA分布规律基本一致。溶解态氨基酸的垂直分布特点为次表层与海水底层出现了高值区。春季南黄海与东海表层海水中溶解氨基酸主要由天门冬氨酸、谷氨酸、丝氨酸、甘氨酸及丙氨酸构成。表层海水中个体氨基酸间的相关性矩阵显示DFAA中有5对氨基酸之间存在显著正相关。研究发现海水中溶解氨基酸与Chl a、DOC、DIN等环境因子均无显著相关性。     

采煤塌陷对地表植物群落特征的影响

为了研究采煤塌陷对地表植被组成及其多样性的影响,对陕西省神府-东胜补连塔煤矿采煤塌陷区不同塌陷年限(2、7、12、17 a)区域和未塌陷区域(对照)植被进行抽样调查与分析. 结果表明:该区域共有14科39属46种植物,主要为草本植物;采煤塌陷对植被种类组成、物种分布有很大影响,导致植物种类显著减少31.03%~44.83%. 塌陷区优势种较对照区有较大变化,优势种由多年生草本植物演变为一二年生草本植物;但是不同塌陷年限区域植物优势种基本稳定,主要为看麦娘(Alopecurus aequalis)、烛台虫实(Corispermum candelabrum)、刺叶藜(Chenopodium aristatum)等. 采煤塌陷导致植株密度显著下降58.62%~68.00%、物种丰富度显著下降17.43%~27.00%、Margalef丰富度指数显著降低4.07%~22.76%,但植被盖度差异不显著. 采煤塌陷显著影响植物群落多样性,其中,塌陷12和17 a样地植被Margalef丰富度指数和Shannon-Wiener多样性指数较塌陷2 a样地显著提高. 群落排序结果表明,物种分布与塌陷有明显相关性. 塌陷区植株密度及其植被组成中多年生草本种数很难恢复到对照区水平,植被恢复进程十分缓慢.      

优化、RSA和GLUE方法在非线性环境模型参数识别中的比较

参数识别是数学模型应用的前提,本文对非线性环境模型常用的3种参数识别方法进行了比较分析.优化方法是出现最早、应用最广泛的参数识别方法之一.但在观测误差存在的情况下,采用优化方法识别的最优参数进行模型预测,存在很大的决策风险.考虑到这种不足,RSA方法和GLUE方法摒弃了识别单一最优参数的传统思维,而把识别参数扩大到多点组成的参数集.RSA方法与GLUE方法不同的是,RSA方法把可行的参数点看成是同等接受的,而GLUE方法则根据模拟值与实测值的差别,确定其似然度,代表参数的可信度水平.除参数识别以外,RSA方法和GLUE方法也是全局灵敏度分析的重要工具.     

Application of two organic wastes in a soil polluted by lead: effects on the soil enzymatic activities

The effects of adding a crushed cotton gin compost (CCGC) and a poultry manure (PM) on the enzymatic activities of a Typic Xerofluvent soil polluted with Pb were studied in the laboratory. Three hundred grams of sieved soil (<2 mm) were mixed with PM at a rate of 10% or CCGC at a rate of 17.2%, applying to the soil the same amount of organic matter with each organic amendment. Urease, protease-BBA, beta-glucosidase, alkaline phosphatase, and arylsulfatase activities were measured at four different incubation times (1, 7, 15, and 45 d) in soils containing seven concentrations (100, 250, 500, 1000, 2500, 5000, and 8000 mg kg-1) of Pb, and in the same soils amended with CCGC and PM. In all treatments and incubation times, the inhibition percentage of soil enzyme activities by Pb was lower in soils amended with the PM and CCGC than in nonamended soils, and it differed with the organic amendment. In this respect, the in the 8000 mg Pb kg-1 treatment at the end of the incubation period, the protease-BBA activity inhibition percentage was lower (14.7 and 33.9% lower, respectively) in CCGC- than in PM-amended soils. Since the adsorption capacity of Pb was higher in CCGC- than the PM-amended soils, the addition of organic wastes with higher humic acid concentration is more beneficial for remediation of soils polluted with Pb.     

重铬酸钾法测定炼油废水COD的适用性分析

为了分析0.250 mol/L与0.025 mol/L重铬酸钾法测定炼油催化剂行业高氯废水COD的适用性,进行了比对实验。结果表明：两者测定结果相差60.5～76.8 mg/L;高浓度重铬酸钾法精密性较好, RSD%≤4.8%,准确度较高,与氯气校正法测定结果基本吻合,相对误差≤6%;低浓度的重铬酸钾法精密性相对较差, RSD%≥8.1%,与氯气校正法测定结果相对误差大于40%,准确度低。在控制稀释水样Cl-浓度500～800 mg/L范围时,采用重铬酸钾法测定COD,适宜于高浓度的方法。     

Distribution and availability of trace elements in municipal solid waste composts

Trace element contamination is one of the main problems linked to the quality of compost, especially when it is produced from urban wastes, which can lead to high levels of some potentially toxic elements such as Cu, Pb or Zn. In this work, the distribution and bioavailability of five elements (Cu, Zn, Pb, Cr and Ni) were studied in five Spanish composts obtained from different feedstocks (municipal solid waste, garden trimmings, sewage sludge and mixed manure). The five composts showed high total concentrations of these elements, which in some cases limited their commercialization due to legal imperatives. First, a physical fractionation of the composts was performed, and the five elements were determined in each size fraction. Their availability was assessed by several methods of extraction (water, CaCl(2)-DTPA, the PBET extract, the TCLP extract, and sodium pyrophosphate), and their chemical distribution was assessed using the BCR sequential extraction procedure. The results showed that the finer fractions were enriched with the elements studied, and that Cu, Pb and Zn were the most potentially problematic ones, due to both their high total concentrations and availability. The partition into the BCR fractions was different for each element, but the differences between composts were scarce. Pb was evenly distributed among the four fractions defined in the BCR (soluble, oxidizable, reducible and residual); Cu was mainly found in the oxidizable fraction, linked to organic matter, and Zn was mainly associated to the reducible fraction (iron oxides), while Ni and Cr were mainly present almost exclusively in the residual fraction. It was not possible to establish a univocal relation between trace elements availability and their BCR fractionation. Given the differences existing for the availability and distribution of these elements, which not always were related to their total concentrations, we think that legal limits should consider availability, in order to achieve a more realistic assessment of the risks linked to compost use.