Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved.     

Factors influencing perceptions of aquatic ecosystems

While factors influencing perceptions of drinking water have been well studied, those of aquatic ecosystems have been to lesser extent. We conducted a review to improve awareness of these factors. Environmental factors found to influence public perceptions of aquatic ecosystems were presence/absence of water plants and algae, presence/absence of floating debris, the odor, movement (for flowing waters) and clarity/turbidity of the water, and the type, condition, setting, naturalness, and overall aesthetic appeal of the ecosystem. Sociocultural factors found to influence public perceptions of aquatic ecosystems included age, education, gender, and place-based knowledge. We provide perspectives of how managers can better meet the diverse social demands placed on aquatic ecosystems. The importance and benefits of considering these perspectives may be especially beneficial where significant multi-generational and culturally relevant place-based knowledge exist.     

无上部抽吸装置储罐区人工龙卷风风场模拟

为了减少因储罐泄漏位置不确定造成的人员伤亡,指导应急疏散,提出利用人工龙卷风定向控制气体流动方向的模型。首先基于Fluent软件建立了储罐区域人工龙卷风数值模型,分析切向速度和压强沿径向变化规律,发现与经典Rankine涡模型切向速度沿径向分布规律一致,证实可在储罐区以射流相切的方式形成人工龙卷风风场。其次研究了涡流比和进风量对风场控制气流特性的影响,即分析形成的龙卷风风场最大切向速度、压强差变化规律,结果表明,涡流比越大,形成的龙卷风风场中切向速度和压强差越小,即气流向中心汇聚能力越弱;进风量越大,形成的龙卷风风场中切向速度和压强差越大,即气流向中心汇聚能力越强。研究表明,用人工龙卷风控制储罐泄漏气流方向是可行的。     

藻类对壬基酚微生物降解的影响

壬基酚(NP)为在水环境中广泛存在的一种典型环境内分泌干扰物质。为了探讨NP在自然水体中的归趋,研究了水体中藻类对微生物降解NP的影响。结果表明,本研究筛选的耗氧混合菌可以有效降解NP,在暗环境下半衰期为1.16d,光照不利于NP的微生物降解,半衰期增加到5.19d;藻类和藻胞外分泌物可以提高光照条件下NP的微生物降解,这是藻类和菌加和作用的结果;而破碎的藻对降解作用改善不大。藻类和微生物相互作用对于有机污染物降解的影响还鲜见报道,本研究为全面理解NP在水环境中的归驱提供了重要的数据。     

海洋纤毛虫实验生态学研究 IV:不同人工海水培养液及温度对扇形游仆虫种群增长的影响

为了揭示出海洋纤毛虫在人工海水中及不同温度下的种群动力学,利用实验生态学方法,就4种培养液及2种(17℃和23℃)温度对海洋纤毛虫扇形游仆虫(Euplotesvannus Müller,1786)种群增长的影响进行了初步探讨.结果显示①该种纤毛虫原生动物在4种人工海水培养液中的种群增长率大小顺序为牛肉浸膏培养液>米粒培养液>酵母粉培养液>蛋白胨培养液;②种群密度大小顺序依次为米粒培养液>牛肉浸膏培养液>酵母粉培养液>蛋白胨培养液;③指数增长期及稳定期在米粒培养液中均长于牛肉浸膏培养液;④随着培养温度的升高,种群增长率增大,指数增长期及稳定期缩短;⑤温度系数(Q10)的大小顺序为蛋白胨培养液>牛肉浸膏培养液>米粒培养液>酵母粉培养液.结果表明,米粒人工海水培养液不仅适合于保种培养,而且适合于种群的扩大培养,而牛肉浸膏培养液更适合于种群的快速扩大培养,其他两种培养液则只适合于保种培养.图2表4参13     

水生细菌对原生动物的反捕食对策

The research progress in the defense strategies of aquatic bacteria to protozoa was reviewed in this paper, Aquatic bacteria can reduce or avoid grazing mortality from protozoa through changing size or shape, reducing cell surface hydrophobieity, reducing mobility or searching refuges. It is the main trends of the field in the future to study the coevolution mode of aquatic bacteria and protozoa. Ref 47     

复合人工湿地对有机污染物的去除效果初步研究

研究了由不同植物配置(驯化和未驯化)的两组下行和上行植物床组成的复合人工湿地对生活污水的净化效果。结果表明,CODCr和BOD5的去除率达67.3%,68.1%,总氮(TN)的去除率为26.9%,总磷(TP)的去除主要发生在上行床,去除率为81.6%。环芳烃(PAHs)中苊(Ace)、荧蒽(Flu)、芘(Py)、苯并[a]蒽(BaA)、屈(Chr)、苯并[b]荧蒽(BbF)、苯并[a]芘(BaP)、茚并[1,2,3-cd]芘(InP)和苯并[g,h,i](BPR)经下行床后,去除率超过80%,上行床去除较少。驯化床和未驯化床对PAHs的去除效果差异不显著。邻苯二甲酸酯(PAEs)中邻苯二甲酸二乙酯(DEP)和邻苯二甲酸二异丁酯(DiBP)经驯化床后,质量浓度显著升高,经未驯化床后邻苯二甲酸二(2-乙基)己酯(DEHP)含量显著降低。蚕豆根尖微核实验表明,不同植物配置对微核率影响差异并不显著,毒害物质经下行床后大部分被去除。     

海洋纤毛虫实验生态学研究Ⅳ:不同人工海水培养液及温度对扇形游仆虫种群增长的影响

为了揭示出海洋纤毛虫在人工海水中及不同温度下的种群动力学，利用实验生态学方法，就4种培养液及2种（17℃和23℃）温度对海洋纤毛虫扇形游仆虫（Euplotes vannus Mailer，1786）种群增长的影响进行了初步探讨．结果显示：①该种纤毛虫原生动物在4种人工海水培养液中的种群增长率大小顺序为：牛肉浸膏培养液〉米粒培养液〉酵母粉培养液〉蛋白胨培养液；②种群密度大小顺序依次为：米粒培养液〉牛肉浸膏培养液〉酵母粉培养液〉蛋白胨培养液；③指数增长期及稳定期在米粒培养液中均长于牛肉浸膏培养液；④随着培养温度的升高，种群增长率增大，指数增长期及稳定期缩短；⑤温度系数（Q10）的大小顺序为：蛋白胨培养液〉牛肉浸膏培养液〉米粒培养液〉酵母粉培养液．结果表明，米粒人工海水培养液不仅适合于保种培养，而且适合于种群的扩大培养，而牛肉浸膏培养液更适合于种群的快速扩大培养，其他两种培养液则只适合于保种培养．图2表4参13     

水生态修复对莲花湖底栖动物群落的影响

武汉莲花湖是典型的富营养化城市浅水湖泊．通过对其进行16mo的监测后发现，治理后的小莲花湖比大莲花湖水质有明显改善．监测期间小莲花湖底栖动物密度和生物量均值明显高于大莲花湖，Shannon多样性指数与Margalef多样性指数也高于大莲花湖．将大、小莲花湖的10种环境因子和底栖动物密度进行典型相关分析后，发现总磷、温度、总氮、叶绿素a、氨离子是对底栖动物群落具有显著性影响的环境因子．图8表3参20.