基于时序片段的油气管道运行工况识别方法*

为准确识别管道系统运行工况,提高对油气管道突发事故的响应速度,综合提升管网安全管理水平,提出1种基于时序片段的油气管道运行工况识别方法。首先,构建基于概率分布的状态变化识别模型,提取油气管道中不同运行状态点;其次,建立基于时间序列片段的工况识别模型,快速识别不同时间长度内油气管道运行工况;最后,以国内某成品油管道为例进行方法验证。研究结果表明:该方法可有效识别成品油管道阀门开关状态、泵异常停机和阀门内漏3种运行工况。对比传统的识别方法,该方法可降低状态变化点的漏报率,提升管道运行工况识别的准确率。研究结果可为油气管道系统运行工况识别提供新的借鉴方法。     

酸化油水解废水脱酸处理工艺研究

酸化油是生产生物柴油的原料,其生产过程中产生的水解废水有机物含量高且具有强酸性,直接排放会严重污染环境。因此,对酸化油水解废水处理工艺进行研究有重要意义。通过对酸化油水解废水脱酸处理的条件及影响因素进行研究,并通过L9(34)正交实验确定了脱酸的最佳工艺条件。pH值为10,搅拌时间为15 min,温度为30℃是脱酸处理的最佳条件。     

响应面法优化阴阳极同时作用电化学法处理染料废水

在自制电化学反应器中,以甲基橙模拟染料废水为处理对象,采用Box-Behnken Design响应面法研究了影响阴阳极同时作用电化学法处理染料废水的因素及其交互作用。实验得出各因素对废水脱色率影响的大小顺序为：电流密度> Fe³⁺浓度>Cl^-浓度。各因素之间的交互作用对废水脱色率影响的大小顺序为：电流密度和Fe³⁺浓度>电流密度和Cl^-浓度>Fe³⁺浓度和Cl^-浓度。优化结果表明：Fe³⁺浓度为1.02 mmol/L、Cl^-浓度为10.96 mmol/L、电流密度为11.52 mA/cm²时,最佳脱色率为94.67%。阴阳极同时作用电化学法对甲基橙去除效果显著。     

A review of the Nigerian petroleum industry and the associated environmental problems

Nigeria has abundant deposits of oil and natural gas and their exploitation has improved the economy substantially, but with serious environmental costs. Severe ecological damage has occurred in the Niger Delta area where most of the oil industries are based. Statutory rules and regulations for environmental protection applicable to the oil industry in Nigeria appear to be generally inadequate and ineffective. So far, air pollution has not been properly addressed. Natural gas is still being flared from many oil wells, with serious air pollution problems and a waste of this resource. The legal control of air pollution in the light of the ongoing operations of liquified natural gas (LNG) and compressed natural gas (CNG) projects is advised along with other measures for environmental quality, control and the conservation of resources.     

自由表面流人工湿地处理超稠油废水

采用自由表面流芦苇湿地处理超稠油废水。当芦苇床的水力负荷为3．33cm/d时,对于年平均进水COD459．16mg/L,石油类27．65mg/L,BOD5 33.52mg/L,TN13.74mg/L的超稠油废水,该系统的出水指标为COD77．21mg/L,石油类1．42mg/L,BOD53.90mg/L,TN1.60mg/L。去除率分别为：COD83．18％,石油类94．86％,BOD588．37％,TN88．36％,pH值由7．87降至7．77。处理后的超稠油废水对土壤的污染并不明显,对芦苇的生长和材质指标几乎没有影响。可见,自由表面流芦苇湿地深度处理超稠油废水的出水水质稳定,耐冲击负荷强,是一种经济有效的超稠油废水处理新方法。     

定水头条件下淄河滩陈化残油淋溶释放试验

淄河滩陈化油污土层是引起大武水源地东部地区地下水污染的主要污染源之一.通过对油污土层采取原状土柱样,在室内进行了模拟淄河滩地存在不同厚度表流时的残油淋溶释放试验.结果表明,在设定的试验条件下,油污土层可淋出水量24.56610⁴m³、油量1185.1kg; 水层厚度对渗出水的油浓度影响不大,渗出油的多少主要决定于渗出水的数量;太河水库放水补源方式对残油释放量的影响不起决定性     

聚磷硫酸铁的制备及在稠油污水处理中的应用

无机高分子聚合硫酸铁（PFS）,用于处理稠油污水,沉降性能较差,脱色效果不好。在实验室制备了含磷酸根的聚合硫酸铁（PPFS）,通过处理稠油污水,对影响产品絮凝效果的主要因素进行了研究。实验证明：PPFS代替PFS处理稠油污水,可得到良好的絮凝效果。     

改性土壤对模拟含油废水中油的吸附

研究季铵盐阳离子表面活性剂四甲基铵离子 ( TMA)和十六烷基三甲基铵离子 ( HDTMA)改性的土壤 (黑土、黄棕壤、红壤 )对水中油的吸附作用 .结果表明 :改性土壤和未改性土壤均可吸附水中的油 ,但改性土壤对水中油的吸附能力明显高于未改性土壤 .改性土壤吸附油能力的顺序依次为 :1 CEC- HDTMA黑土 >1 CEC-HDTMA黄棕壤 >1 CEC- HDTMA红壤 >1 CEC-TMA黑土 >1 CEC-TMA黄棕壤 >1 CEC- TMA红壤 .未改性土壤和 HDTMA改性土壤对油的吸附通过分配来进行 ,吸附等温线可由 Henry方程表示 ,得出 logK_SOM为 2.69,logK_HDTMA为 3.35;TMA改性土壤对油的吸附符合 Langmuir方程 ,其对油的饱和吸附量分别为 1150 mg/kg( TMA黑土 ) ,751 mg/kg( TMA黄棕壤 ) ,172 mg/kg( TMA红壤 )     

含油污泥生物处理技术研究

含油污泥的成分非常复杂,主要是石油烃、沉积物、重金属和水的复杂混合物,对周围环境和人类健康产生危害,且处理难度大,一直是困扰油田的一大难题。目前所采用的处理方法主要有3种:物理化学处理、生物处理和综合利用。由于生物处理法具有节约能源、投资少、运行费用低等优点,成为最具应用潜力的含油污泥处理方法之一。论文介绍了含油污泥的危害及处理方法,简要分析了目前几种处理方法的特点,综述了4种生物处理技术的研究与应用现状,并探讨了含油污泥生物处理的影响因素。     

Abundance and diversity of the phyllosphere bacterial communities of Mediterranean perennial plants that differ in leaf chemistry

Summary.  We studied the epiphytic bacterial communities of the summer leaves of eight perennial species naturally occurring in a Mediterranean ecosystem. The species differ in essential-oil content (from rich in essential oil to non-producers) and composition, and also in life form (from herbaceous species to tall shrubs). We compared the epiphytic bacterial communities on the basis of (i) their abundance, (ii) their metabolic profile (derived by use of the BIOLOG Ecoplate system) and (iii) richness and diversity of substrates that they use, as a measure of functional diversity. Among all species, the aromatic Melissa officinalis was the most abundantly colonized. The bacterial communities on the leaves of the aromatic Myrtus communis, Calamintha nepeta and Melissa officinalis, and also of Cistus incanus catabolized all 31 substrates offered; those on the evergreen-sclerophyllous species, Arbutus unedo and Quercus coccifera, catabolized only 14 and 17 substrates, respectively. Carbohydrates were consistently used abundantly by all communities, whereas carboxylic acids were most variably used. On average, the group of aromatic plants scored higher regarding bacterial abundance, and richness and diversity of substrates used by the bacterial communities on their leaves; the lowest values for both substrate-use indices were recorded in A. unedo. Bacterial abundance or richness or diversity of substrates used did not vary with leaf oil content. Abundance was positively correlated with both substrate-use indices. Results support claims that the antimicrobial effects of essential oils are not exerted so much under natural conditions as reports based on biassays with pathogens usually show. Although essential oils play a part in the microbial colonization of the phyllosphere, it is not likely that inhibition of phyllosphere bacteria is essential oils’ primary role, at least in the Mediterranean environment.