Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine

Nowadays, biodiesel is used as one of the alternative renewable energy due to the increasing energy demand. However, optimum production of biodiesel still requires a huge number of expensive and time-consuming laboratory tests. To address the problem, this research develops a novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM is an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Genetic Algorithm (KCGA) and Evolutionary Support Vector Machine Inference Model (ESIM). The ESIM is utilized as a supervised learning technique to establish a highly accurate prediction model between the input--output of biodiesel mixture properties; and the KCGA is used to perform the simulation to obtain the optimum mixture properties based on the prediction model. A real biodiesel experimental data is provided to validate the GA-ESIM performance. Our simulation results demonstrate that the GA-ESIM establishes a prediction model with better accuracy than other AI-based tool and thus obtains the mixture properties with the biodiesel yield of 99.9%, higher than the best experimental data record, 97.4%.     

西昌高原鳅人工繁殖技术研究

对西昌高原鳅(Triplophysa xichangensis)人工繁殖中的催产药物及其剂量、受精方式、孵化方法和仔鱼水花培育方法等一系列关键技术进行了详细研究。结果表明,对性腺发育至Ⅳ+~Ⅳ++期的雌鱼分二次注射LRH-A2 0.1μg/g(鱼体重)和HCG 20 IU/g(鱼体重),雄鱼剂量减半,注射量0.1 mL,能很好地促进雌雄鱼发情并产卵排精,在水温19±0.5℃时的效应时间为30.5~31 h;在一个特制的塑料盆中完成了亲鱼培育、打针催产、发情、自然产卵受精、孵化以及仔鱼培育等全部人工繁殖过程,受精率、孵化率和仔鱼水花培育20 d的成活率平均分别为97.2%、85%和85%。本研究成果可应用于西昌高原鳅规模化繁育,对长江上游鱼类生物多样性保护有着积极意义。     

Spatial character of polychlorinated biphenyls from soil and respirable particulate matter in Taiyuan, China

As one of China’s great metropolises, Taiyuan is affected by heavy chemical industry and manufacture of chemical products, and faces pollution from polychlorinated biphenyls (PCBs). Therefore, this study was conducted to determine the PCB concentrations in various environmental media in Taiyuan. We collected 15 soil samples, 34 respirable particulate matter (PM) samples (17 of PM_2.5 and 17 of PM₁₀) from urban areas of Taiyuan, and measured a total of 144 PCB congeners (including some coeluting PCB congeners). The total PCB concentrations were 51–4.7 × 10³ pg g⁻¹ in soil, 27–1.4 × 10² pg m⁻³ in PM_2.5 and 16–1.9 × 10² pg m⁻³ in PM₁₀. Of the PCB homologues, the dominant PCBs detected in the various media were all tri-CBs. Soil was relatively the most polluted media. Furthermore, principal-component analysis revealed that the major PCB source in Taiyuan may be associated with the main commercial PCB through long-range transmission. Toxic equivalency (TEQ) concentrations (based on ten dioxin-like PCBs) ranged from N.D. to 5.9 × 10⁻³ pg-WHO TEQ g⁻¹ in soil, 2.0 × 10⁻⁴–3.4 × 10⁻³ pg-WHO TEQ m⁻³ and 1.0 × 10⁻⁴–1.2 × 10⁻³ pg-WHO TEQ m⁻³ in PM_2.5 and PM₁₀, respectively. In previous studies, PCBs were not a severe component of contaminant in Taiyuan; however, this study suggested there is a potential threat of human exposure to PCBs for residents of Taiyuan.     

不同类型填料的三维电极/Fenton试剂法处理苯酚废水

采用不同类型填料对三维电极/Fenton试剂法处理苯酚模拟废水进行研究.结果表明.不同类型活性炭填料对苯酚去除率有很大影响,粒炭不适合做粒子电极,采用5.0 mm柱炭处理效果较好;采用石英砂与活性炭混合填料的处理效果比单一活性炭填料好,但苯酚去除率提高不明显;电解槽反应器中按比例投加涂膜活性炭和活性炭混合填料能明显提高苯酚去除率;当涂膜活性炭与活性炭体积比为1,2时,苯酚去除率最高,达96.8%.     

Cu^2＋、Zn^2＋对生物脱氮系统的影响

Cu^2＋和Zn^2＋是污水处理工艺中经常遇到的金属离子。在驯化好的活性污泥系统中,研究了金属离子Cu^2＋和Zn^2＋在0～100mg／L浓度下对活性污泥生物脱氮系统的影响。试验发现Cu^2＋＞5mg／L、Zn^2＋＞30mg／L时,对硝化过程具有明显的抑制作用,在同样浓度的试验条件下cu“对硝化过程的抑制作用比Zn^2＋大。Cu^2＋≤0．5mg／L时对反硝化过程具有一定的促进作用,有助于提高TN的去除效果;Cu^2＋＞0．5mg／L时,对反硝化产生抑制作用,随着浓度的增加,TN去除率逐渐下降。Zn^2＋不影响反硝化过程,仅在大于30mg／L时,对硝化过程产生抑制作用。重金属Cu^2＋对生物脱氮系统的影响明显强于Zn^2＋。     

固相萃取-高效液相色谱法测定地表水中的溴氰菊酯

建立了固相萃取-高效液相色谱-二极管阵列扫描测定地表水中溴氰菊酯的方法。溴氰菊酯经C18小柱富集,用6．0mL二氯甲影丙酮（1：1,v／v）洗脱,氮吹转换溶剂为甲醇并定容至1mL后由高效液相色谱仪进行分析,检测波长为270hm,通过保留时间与特征紫外吸收图谱定性,外标法定量。方法检出限1．0ug／L;线性范围1．0～97．0ug,／L,／相关系数0．9999;相对标准偏差7．7％-17．5％（n=6）;回收率在90．6％～111．9％。方法简单,快速,经济环保。     

Studies of potential sources that contributed to atmospheric mercury in Toronto,Canada

This study identified sources of mercury (Hg) in downtown Toronto, Canada by analyzing gaseous elemental mercury (GEM), mercury associated with particles with sizes less than 2.5 microns (PHg < 2.5), and gaseous oxidized inorganic mercury (GOIM), commonly referred to as reactive gaseous mercury (RGM), and air pollutants (CO, NO_x, O₃, PM_2.5, SO₂) concentrations between Dec 2003 and Nov 2004. The data were analyzed using Positive Matrix Factorization (PMF) model, Principal Components Analysis (PCA), ratio analysis, back trajectories, and correlation analyses. The analyses suggest industrial sources (chemical production, metal production, sewage treatment), rather than coal combustion, were the major contributors to measured Hg levels. Overlap in source profiles for the Hg sources listed in the Canadian National Pollutant Release Inventory (NPRI) and lack of source profiles for urban sources were the major limitations to positively identifying sources from the PMF and PCA factors. Correlation analyses revealed direct emissions were the sources of GOIM in spring, summer, and fall, and the occurrence of GEM oxidation by ozone in the summer. Elevated Hg events are attributed to emissions from urban sources near the sampling site, regional point sources, and photochemical processes involving ozone.     

污泥膨胀状态下原生动物群落结构分析

系统研究了丝状菌膨胀与非丝状菌膨胀2种典型污泥状态下原生动物的群落结构特征及其演变规律。伴随丝状菌的大量增殖,原生动物总量相应减少,匍匐型纤毛虫及有壳类肉足虫数量迅速上升,占据明显的优势地位,典型原生动物为斜管虫（Chilodonella sp.）、小轮毛虫（Trochilia minuta）以及匣壳虫（Centropyxis sp.）;非丝状菌污泥膨胀对原生动物总量及种群结构影响较小,伴随粘性菌胶团的大量出现,各功能类群的比例变化较小,但原生动物总量持续增加,其中菌食性纤毛虫呈线性增加,典型原生动物为钟虫（Vorticella sp.）。     

木棉基活性炭纤维吸附性能的研究

采用浸渍(NH₄)₂HPO₄化学活化法650℃时制备得到3种新型木棉基活性炭纤维,即只浸渍不预氧化方法处理的AK1(activated kapok),先浸渍后预氧化的AK-2和先预氧化后浸渍的AK-3。利用制备得到的活性炭纤维处理苯酚和亚甲基蓝的模拟废水,AK-2具有苯酚最大吸附量(137.00 mg/g),AK-1具有亚甲基蓝最大吸附量(274.11 mg/g)。吸附苯酚时,在静态平衡实验中,更符合Freundlich吸附等温线;在动力学实验中,更符合准一级反应。吸附亚甲基蓝时,在静态平衡实验中,AK-1更符合Langmuir模型,AK-2 、AK-3更符合Freundlich吸附等温线;在动力学实验中,更符合准二级反应。