Artificial neural network model for identifying taxi gross emitter from remote sensing data of vehicle emission

Vehicle emission has been the major source of air pollution in urban areas in the past two decades. This article proposes an artificial neural network model for identifying the taxi gross emitters based on the remote sensing data. After carrying out the field test in Guangzhou and analyzing various factors from the emission data, the artificial neural network modeling was proved to be an advisable method of identifying the gross emitters. On the basis of the principal component analysis and the selection of algorithm and architecture, the Back-Propagation neural network model with 8-17-1 architecture was established as the optimal approach for this purpose. It gave a percentage of hits of 93%. Our previous research result and the result from aggression analysis were compared, and they provided respectively the percentage of hits of 81.63% and 75%. This comparison demonstrates the potentiality and validity of the proposed method in the identification of taxi gross emitters.     

提高煤层气采收率的CO2埋存技术

作为常规油气重要接替补充的非常规天然气,煤层气越来越受到世人的关注.如何提高煤层气采收率是摆在煤层气开发工程师面前迫切需要解决的技术难题.通过向煤层中注入CO2,既可以提高煤层气采收率又能间接地实现CO2减排,即提高煤层气采收率的CO2埋存技术(CO2-ECBM).该项技术已在世界各地迅速发展,并取得一些实质性进展.文...     

钱塘江杭州段沉积物中铁锰的分布特征

针对钱塘江杭州段水污染现状,对钱塘江杭州段12个采样断面的沉积物进行了系统研究。结果表明,沉积物Fe、Mn的平均含量分别为2.05%,449 mg/kg,变异系数分别为16%、27%。主成分分析结果表明,Fe、Mn、K具有一定的同源性,代表沉积物的自然来源,Fe、Al的分布情况反映两者之间可能存在一定的同源性。相关性分析结果表明,Fe、Al、K均与粘粒显著或极显著相关,反映了地球化学作用和水文条件相互作用的结果;Mn与有机污染(OM)呈显著负相关,说明Mn的污染源与OM不存在同源性,相反,有机质污染导致沉积物锰含量有所降低,两者可能存在密切关系。     

主成分分析法在水环境质量评价中的应用进展

对研究水质的一种多元统计方法——主成分分析法做了详细介绍,并对主成分分析法在河流、地下水、矿区、湖泊水质评价中的应用进行了综述,简要分析了主成分分析法在水环境质量评价中尚有不足之处。     

兰州城区大气PM2.5污染特征及来源解析

为探究兰州城区PM_(2.5)的污染特征及其来源,分别在兰州市城关区和西固区设置PM_(2.5)采样点,于2013年10月(非采暖期)和12月(采暖期)采集样品并进行分析,得到了PM_(2.5)及其16种化学组成的质量浓度.结果表明,兰州城区PM_(2.5)污染水平较高,平均质量浓度为129μg·m~(-3).样品无机元素平均质量浓度为:SCaFeAlMgPbZnMnTiCu,其中S、Ca、Fe、Al的质量浓度在1μg·m~(-3)以上,是主要元素组分;样品各无机元素质量浓度表现为采暖期高于非采暖期,城关区高于西固区.样品水溶性离子平均质量浓度为:SO~(2-)_4NO~-_3NH~+_4Cl~-K~+Na~+,其中SO~(2-)_4、NO~-_3、NH~+_4的质量浓度在10μg·m~(-3)以上,是主要离子组分;样品各水溶性离子质量浓度表现为采暖期高于非采暖期,西固区高于城关区.富集因子(EF)分析结果表明,元素Al、Ca、Mg、Ti的EF值均小于1以自然来源为主;元素Cu、Pb、S、Zn的EF值显著大于10,表明这4种元素在PM_(2.5)中高度富集,且主要源于人为活动造成的污染.主成分分析结果表明,交通排放源、生物质燃烧源、土壤源和二次粒子对兰州城区大气PM_(2.5)贡献显著.     

Potential bioremediation of mercury-contaminated substrate using filamentous fungi isolated from forest soil

The use of filamentous fungi in bioremediation of heavy metal contamination has been developed recently. This research aims to observe the capability of filamentous fungi isolated from forest soil for bioremediation of mercury contamination in a substrate. Six fungal strains were selected based on their capability to grow in 25 mg/L Hg2+-contaminated potato dextrose agar plates. Fungal strain KRP1 showed the highest ratio of growth diameter, 0.831, thus was chosen for further observation.Identification based on colony and cell morphology carried out by 18S rRNA analysis gave a 98%match to Aspergillus flavus strain KRP1. The fungal characteristics in mercury(Ⅱ) contamination such as range of optimum pH, optimum temperature and tolerance level were 5.5–7 and 25–35℃ and 100 mg/L respectively. The concentration of mercury in the media affected fungal growth during lag phases. The capability of the fungal strain to remove the mercury(Ⅱ) contaminant was evaluated in 100 mL sterile 10 mg/L Hg2+-contaminated potato dextrose broth media in 250 mL Erlenmeyer flasks inoculated with 108spore/mL fungal spore suspension and incubation at 30℃ for 7 days. The mercury(Ⅱ) utilization was observed for flasks shaken in a 130 r/min orbital shaker(shaken) and nonshaken flasks(static) treatments. Flasks containing contaminated media with no fungal spores were also provided as control. All treatments were done in triplicate. The strain was able to remove 97.50%and 98.73% mercury from shaken and static systems respectively. A. flavus strain KRP1 seems to have potential use in bioremediation of aqueous substrates containing mercury(Ⅱ) through a biosorption mechanism.     

一株耐低温石油降解菌的鉴定及降解特性

在低温条件下(15℃),从抚顺石油二厂曝气池活性污泥中驯化和分离得到一株以柴油为碳源的降解菌株Q21,通过菌体形态、生理生化反应特性和16S rDNA基因测序分析对其进行鉴定.菌株Q21为琼式不动杆菌(Acinetobacter junii),该菌株利用柴油生长的最佳条件为:接种量为10%,生长温度为15℃,pH值为7.0,摇床转速为150 r·min-1,盐度为0.5%~1.0%,降解率为71.50%;降解后的残油组分经GC-MS分析结果表明,菌株Q21能降解柴油中所含的C9~C24之间大部分烷烃.     

苯酚微生物降解的正交实验研究

利用以苯酚为碳源的驯化液,对某焦化厂曝气池活性污泥进行驯化,经过分离、筛选,挑选出4株高效的苯酚降解菌,编号为h32a2、b31B、h31A和b41a,并通过菌落形态特征、简单染色及生理生化反应初步鉴定为假单胞菌属(Pseudomonas sp.),依据正交实验确定了优势菌群降解苯酚的最佳条件为温度32℃,pH值7.5,菌培养时间16 h,接种量1%。     

模糊综合评价法及主成分分析法在额尔齐斯河水质评价中的应用

利用额尔齐斯河2010年监测数据进行水质评价。用模糊综合评级法对水质状况进行评价,判断水质级别;用主成分分析法判断主要污染物类型,确定各污染物的主要贡献率。并将两种方法的评价结果与单项指标评价结果相比较,结果表明：在水质评价中水质级别判断采用模糊综合评价法,水质主要污染物判断采用主成分分析法,用两种评价方法结合起来对水环境质量进行评价,结果较准确。     

一株壬基酚降解菌的分离鉴定及其对壬基酚同分异构体降解特性研究

壬基酚(NP)是典型的内分泌干扰物,具有雌激素效应.目前对NP的研究主要集中于微生物降解对其整体去除效果,而对各NP同分异构体的降解行为尚缺乏系统性研究.从钱塘江沉积物中筛选得到一株能够降解NP的细菌,命名为N-1,实验室条件下该菌能以NP为唯一碳源生长.经形态、生理生化及16S rRNA基因序列分析,N-1鉴定为假黄单胞菌(Pseudoxanthomonas sp.).通过正交试验确定N-1降解NP的最适条件为:温度30℃,p H=7.0,菌量10%,NP浓度5~10 mg·L~(-1).最适条件下,N-1对NP 16 d整体降解率可达88.0%,对10种NP异构体降解率在69.7%~100%之间,说明N-1对NP同分异构体的降解具有结构-降解特性,即不同结构NP异构体表现出不一样的降解能力.进一步研究发现,NP异构体降解率随着NP烷基C链长度增加而升高,随着烷基取代基结构越复杂而降低.NP降解选择性导致的难降解成分残留现象,为NP类异构体污染物的微生物修复提供了一定的理论依据.