Study of metabolites from the degradation of polycyclic aromatic hydrocarbons (PAHs) by bacterial consortium enriched from mangrove sediments

The PAH metabolites produced during degradation of fluorene, phenanthrene and pyrene by a bacterial consortium enriched from mangrove sediments were analyzed using the on-fiber silylation solid-phase microextraction (SPME) combining with gas chromatography–mass spectrometry (GC–MS) method. Seventeen metabolites at trace levels were identified in different PAH degradation cultures based on the full scan mass spectra. In fluorene degradation cultures, 1-, 2-, 3- and 9-hydroxyfluorene, fluorenone, and phthalic acid were detected. In phenanthrene and pyrene degradation cultures, various common metabolites such as phenanthrene and pyrene dihydrodiols, mono-hydroxy phenanthrene, dihydroxy pyrene, lactone and 4-hydroxyphenanthrene, methyl ester, and phthalic acid were found. The detection of various common and novel metabolites demonstrates that SPME combining with GC–MS is a quick and convenient method for identification as well as monitoring the real time changes of metabolite concentrations throughout the degradation processes. The knowledge of PAH metabolic pathways and kinetics within indigenous bacterial consortium enriched from mangrove sediments contributes to enhance the bioremediation efficiency of PAH in real environment.     

基于MIKE 21的长江江山制药排污口水环境影响分析——以江山制药公司污水处理站为例

为分析长江沿岸入河排污口设置对水环境的影响,采用MIKE 21建立了长江马鞍山-高桥段二维非稳态水量水质模型,并以江山制药公司污水处理站为例,对其排污口迁址改建前后的水环境影响进行模拟.结果 表明,较于原排污口排放,拟设排污口在执行新排放标准情况下,对九圩港入江断面水质有改善作用,COD、NH3-N、TP的改善率分别为...     

不同运行规则下区间列车运行安全性及效率研究

列车区间运行安全是列车运行安全中极为重要的部分,而列车在区间运行的安全性及效率与运行规则密切相关。将闭塞分区及与其配套的通过色灯信号机结合在一起,建立区间模型,给出列车在区间运行的安全性要求,定义列车在区间连续追踪运行的安全度,介绍列车在区间运行的全部3种运行规则及相应的区间阻塞状态。在此基础上,定量计算3种规则的安全度。基于安全性和效率,对列车运行规则进行深入研究,结果表明,3种规则效率相当,规则1安全性最优。     

系统安全态势的马尔科夫预测模型建立及应用

基于马尔科夫链预测理论,分析研究了系统安全态势的定性与定量预测问题,建立了系统安全态势预测模型.定性预测侧重安全态势的升、降趋势分析,定量预测以系统万人死亡率为依据,划分四个安全状态,从而实现系统安全状态定量预测.定性与定量预测相互检验、相互补充.实例研究表明,马尔科夫定性与定量相结合的预测模型结构简单,计算方便,符合系统安全态势预测特征要求,是系统安全宏观管理的重要参考依据之一.     

应用动态模型确定酸沉降临界负荷的探讨

任何一个天然生态系统都是一个稳定系统.在一定酸沉降量的作用下,生态系统最终会平衡在一个新的稳定状态.动态模型可以模拟不同酸沉降量下生态系统化学状态的变化趋势.根据信号与系统理论,这种趋势可以用一阶指数衰减函数进行模拟,以得到系统达到稳定状态时的化学指标值.根据不同酸沉降量和所对应的稳态化学指标值之间的剂量-响应曲线,可以求出当系统稳态化学指标值达到临界化学值时的酸沉降量,即为系统的酸沉降临界负荷.应用这种方法,以MAGIC模型为例,计算了四川峨眉山顶水和重庆南山湖泊的硫沉降临界负荷,分别为1.54和6.5     

不同氧化还原条件下氯乙烯的微生物脱氯

氯乙烯是土壤和地下水中存在的污染物,其去除的有效途径之一为微生物降解.本研究在温度20℃、氯乙烯初始浓度100μmol/L条件下,对不同氧化还原条件下四氯乙烯、cis-二氯乙烯及一氯乙烯的微生物降解进行了实验.结果表明,在铁还原和碳酸氢盐存在条件下,四氯乙烯以0.26/d和0.31/d的速率分别脱氯为三氯乙烯和cis-二氯乙烯.在脂肪酸存在条件下,四氯乙烯、cis-二氯乙烯和一氯乙烯均完全脱氯为乙烯,但后两者脱氯速率(0.04/d)明显低于前者(0.57/d).在反硝化、锰还原及硫还原条件下,不同取代氯乙烯降解均不明显.当环境温度降至12℃,脱氯菌活性降低,但氯乙烯完全脱氯还原过程仍可发生.     

Humanitarian governance and the consequences of the state‐fragility discourse in the Democratic Republic of Congo's health sector

This paper examines how the discourse on state fragility affects the preferences of key actors in humanitarian governance for different types of health‐sector interventions in the Democratic Republic of Congo. It argues that, instead of focusing on the actual meaning of state fragility, attention should be paid to interactive processes around the discourse among stakeholders in the health sector. The lack of consensus on state fragility influences humanitarian governance, especially the perceptions of and interactions between the host government, donors, and international non‐governmental organisations. The latter have legitimised the persistence of vertical, emergency‐based interventions by emphasising state fragility, whereas state officials have preferred to assert political statehood and a higher degree of control. Nevertheless, they agree that donors’ financial contributions ensure the survival of the public health sector. Looking ahead, a policy coalition based on harmonised views about addressing fragility is necessary for effective engagement and the sustainability of interventions, but this is unlikely to happen any time soon.     

A Bayesian hierarchical approach to quantifying stakeholder attitudes toward conservation in the presence of reporting error

Stakeholder support is vital for achieving conservation success, yet there are few reliable mechanisms to monitor stakeholder attitudes toward conservation. Approaches used to assess attitudes rarely account for bias arising from reporting error, which can lead to falsely reporting a positive attitude toward conservation (false-positive error) or not reporting a positive attitude when the respondent has a positive attitude toward conservation (false-negative error). Borrowing from developments in applied conservation science, we used a Bayesian hierarchical model to quantify stakeholder attitudes as the probability of having a positive attitude toward wildlife notionally (or in abstract terms) and at localized scales while accounting for reporting error. We compared estimates from our model, Likert scores, and naïve estimates (i.e., proportion of respondents reporting a positive attitude in at least 1 question that was only susceptible to false-negative error) with true stakeholder attitudes through simulations. We then applied the model in a survey of tea estate staff on their attitudes toward Asian elephants (Elephas maximus) in the Kaziranga–Karbi Anglong landscape of northeast India. In simulations, Bayesian model estimates of stakeholder attitudes toward wildlife were less biased than naïve estimates or Likert scores. After accounting for reporting errors, we estimated the probability of having a positive attitude toward elephants notionally as 0.85 in the Kaziranga landscape, whereas the proportion of respondents who had positive attitudes toward elephants at a localized scale was 0.50. In comparison, without accounting for reporting errors, naïve estimates of proportions of respondents with positive attitudes toward elephants were 0.69 and 0.23 notionally and at local scales, respectively. False (positive and negative) reporting probabilities were consistently not 0 (0.22–0.68). Regular and reliable assessment of stakeholder attitudes–combined with inference on drivers of positive attitudes–can help assess the success of initiatives aimed at facilitating human behavioral change and inform conservation decision making.     

Effect of admixture of solid inertant on fire hazard of dust layers oriented at varying degrees of inclination

Unlike metallic dust layers, the layer flammability levels (LFL) of non-metallic dust layers exhibit a wide range from Class 1 (No self-sustained combustion) to Class 6 (explosive combustion). However, determinations of layer flammability have not considered the effect of inclination angle, thereby potentially underestimating fire hazard of combustible dust layers in many industrial situations. In this research, inclined dust layers showed greater fire hazard than did horizontally oriented dust layers. For example, LFL of wood dust jumped from class 3 to class 5 when layers were positioned with an incline. Flame spread rate of PMMA dust layers increased from 1.8 to 3.6 mm/s when the angle of inclination increased from 0 to 40°. Even small amounts of solid inertant significantly decreased surface layer fires. The required amount of inertant to completely inert layer fires was far less than that for smoldering layer fires or dust explosions.