人工神经网络方法用于城市环境空气质量综合评价

采用人工神经网络技术,建立了城市环境空气质量综合评价的ANN模型,并通过实例对建立的评价模型进行验证。结果证明,ANN模型用于区域环境空气质量评价,其评价结果比较直观。同时,对在建立和应用ANN模型时应注意的一些问题进行了讨论。     

多环芳烃的几种理化参数与LC_(50)的相关性研究

对多环芳烃(PAHS)4种理化参数(K;W、Sw。X Vv。)与 LCO的相关关系进行了研究,建立了 4种一元线性回归方程。结果表明,4种参数的相关系数分别为:0.刀66、08083、09488、0.9570,经r检验,后两种属高度显著相关.用所建立的一元线性回归方程对7种PAHS的LC。进行估算,估算值与实测值相比,平均相对误差分别为58.84％、32.23％、1761％、198％,用l和V＊.H对LClj进行估算的估算精度也较高。经比较,提出用(。估算P＊比对麦穗鱼＊CO的新方法。     

DBD降解CF2ClBr过程中自由基与电子能量

利用介质阻挡放电方法对环境污染物CF2ClBr进行了等离子体降解的研究.在前人对该体系的降解产物分析及活性粒子推测的基础上,采用动态反应装置得到了等离子体的发射光谱,进一步确证了等离子体系中出现的CF2、CFCl、F、Cl、Br等主要自由基,并从中推出了等离子态气体可能发生的自由基反应.同时通过发射光谱的分析,近似得到该体系的平均电子能量约为2.42eV.     

Distribution of antibiotic-resistant bacteria in chicken manure and manure-fertilized vegetables

Veterinary manure is an important pollution reservoir of antibiotics and antibiotic-resistant bacteria (ARB). However, little is known of the distribution of ARB in plant endophytic bacteria and the number/types of ARB in chicken manure. In this study, 454-pyrosequencing was used to investigate the distribution and composition of ARBs in chicken manure and fertilized vegetables. The prevalence of ARB in the samples of the chicken manure compost recovered from farms on which amoxicillin, kanamycin, gentamicin, and cephalexin were used was 20.91–65.9 % for ARBs and 8.24–20.63 % simultaneously resistant to two or more antibiotics (multiple antibiotic resistant bacteria (MARB)). Antibiotic-resistant endophytic bacteria were widely detected in celery, pakchoi, and cucumber with the highest rate of resistance to cephalexin. The pyrosequencing indicated that the chicken manure dominantly harbored Firmicutes, Bacteroidetes, Synergistetes, and Proteobacteria and that Bacteroidetes was significantly enhanced in farms utilizing antibiotics. In the total cultivable colonies, 62.58–89.43 % ARBs and 95.29 % MARB were clustered in Bacteroidetes with the dominant species (Myroides ordoratimimus and Spningobacterium spp., respectively) related to human clinical opportunistic pathogens.     

盐酸脱附Pb(Ⅱ)负载氨基膦酸树脂的基本性能

氨基膦酸树脂是一种常用的广谱性重金属螯合树脂,对水中的Pb(Ⅱ)具有很好的选择性分离去除能力,但吸附Pb(Ⅱ)后的树脂再生较为困难。系统研究了盐酸脱附Pb(Ⅱ)-负载氨基膦酸树脂D860的基本性能,优化了基本脱附参数。实验表明,采用盐酸作为脱附剂具有较为良好的脱附效果,10%吸附量树脂脱附反应平衡较快仅需10 min,脱附本身受Pb(Ⅱ)在盐酸溶液中的溶解度影响显著。脱附流速从1 BV/h升高到5 BV/h,脱附效果受到的影响很小。升高温度可以提高PbCl2溶解度,进而提高脱附效率。固定床脱附采用1.0 mol/L盐酸,在1 BV/h和303 K条件下,仅需7 BV脱附剂即可实现较高的脱附效率。     

As(V)在金红石TiO_2颗粒表面吸附特性及机理

通过静态动力学和热力学吸附实验,研究了温度、共存离子以及溶质的初始浓度对As(V)在金红石TiO2颗粒表面吸附的影响,探讨了As(V)在金红石TiO2颗粒表面吸附特性及机理。结果表明,在As(V)初始浓度为10 mg/L,pH为7的条件下,25℃时的吸附量0.41 mg/g高于30℃时的吸附量0.31 mg/g,As(V)在金红石TiO2上的吸附为放热过程。CaCl2和MgCl2的添加对As(V)在金红石TiO2表面吸附起到明显的促进作用。T=25℃,Ca2+或Mg2+浓度为10 mmol/L时,As(V)吸附量分别为0.64和0.56 mg/g,Ca2+比Mg2+对As(V)吸附促进作用强。As(V)在金红石TiO2的吸附等温线符合Frendlich方程,Lagergren二级动力学方程能较好地描述As(V)在金红石TiO2颗粒表面吸附的动力学过程。     

As（V）在金红石TiO2颗粒表面吸附特性及机理

通过静态动力学和热力学吸附实验,研究了温度、共存离子以及溶质的初始浓度对As（V）在金红石TiO2颗粒表面吸附的影响,探讨了As（V）在金红石TiO2颗粒表面吸附特性及机理。结果表明,在As（V）初始浓度为10mg／L,pH为7的条件下,25℃时的吸附量0．41mg／g高于30℃时的吸附量0．31mg／g,As（V）在金红石TiO,上的吸附为放热过程。CaCl2和MgCl2的添加对As（V）在金红石TiO2表面吸附起到明显的促进作用。T=25℃,Ca2＋或Mg2＋浓度为10mmol／L时,As（V）吸附量分别为0．64和0．56mg／g,Ca2＋比Mg2＋对As（V）吸附促进作用强。As（V）在金红石TiO2的吸附等温线符合Frendlich方程,Lagergren二级动力学方程能较好地描述As（V）在金红石TiO2颗粒表面吸附的动力学过程。     

Direct N2O decomposition over La2NiO4-based perovskite-type oxides

Direct decomposition of N₂O by perovskite-structure catalysts including La₂NiO₄, LaSrNiO₄, and La_0.7Ce_0.3SrNiO₄ was investigated. The catalysts were prepared by the Pechini method and characterized by x-ray diffraction (XRD), BET, scanning electron microscopy (SEM), and O₂-TPD. Experimental results indicate that the properties of La₂NiO₄ are significantly improved by partially substituting La with Sr and Ce. N₂O decomposition efficiencies achieved with LaSrNiO₄ and La_0.7Ce_0.3SrNiO₄ are 44 and 36%, respectively, at 400ºC. As the temperature was increased to 600ºC, N₂O decomposition efficiency achieved with LaSrNiO₄ and La_0.7Ce_0.3SrNiO₄ reached 100% at an inlet N₂O concentration of 1,000 ppm, while the space velocity was fixed at 8,000 hr^?1. In addition, effects of various parameters including oxygen, water vapor, and space velocity were also explored. The results indicate that N₂O decomposition efficiencies achieved with LaSrNiO₄ and La_0.7Ce_0.3SrNiO₄ are not significantly affected as space velocity is increased from 8,000 to 20,000 hr^?1, while La_0.7Ce_0.3SrNiO₄ shows better tolerance for O₂ and H₂O_(g). On the other hand, N₂ yield with LaSrNiO₄ as catalyst can be significantly improved by doping Ce. At a gas hour space velocity of 8,000 hr^?1, and a temperature of 600ºC, high N₂O decomposition efficiency and N₂ yield were maintained throughout the durability test of 60 hr, indicating the long-term stability of La_0.7Ce_0.3SrNiO₄ for N₂O decomposition.

Implications:Nitrous oxide (N₂O) not only has a high global warming potential (GWP₁₀₀ = 310), but also potentially destroys ozone in the stratosphere. Pervoskite-type catalysts including La₂NiO₄, LaSrNiO₄, and La_0.7Ce_0.3SrNiO₄ are applied for direct N₂O decomposition. The results show that N₂O decomposition can be enhanced as Sr and Ce are doped into La₂NiO₄. At 600ºC, N₂O decomposition efficiencies achieved with LaSrNiO₄ and La_0.7Ce_0.3SrNiO₄ reach 100%, demonstrating high activity and good potential for direct N₂O decomposition. Effects of O₂ and H₂O_(g) contents on catalytic activities are also evaluated and discussed.     

系统响应气候变化脆弱性定量评价国内研究综述

定量评价气候变化脆弱性是人类采取适应性措施应对全球气候变化,以减少其不利影响的关键和基础。在对气候变化脆弱性有关概念进行讨论,及对国际、国内系统响应气候变化脆弱性评价研究回顾的基础上,对中国近十几来有关气候变化脆弱性定量评价研究的成果从三个方面进行了较为系统的总结：气候情景的模拟预测、系统变化过程的模拟、脆弱性指标的选取及脆弱性层次的划分。最后,从评价对象、技术手段、指标体系、时间尺度等方面探讨了该领域研究的不足及发展方向。     

浑河沈阳段污水排放口最优规划研究

针对沈阳市经济发展和污染加剧的特点,为合理充分利用浑河水环境容量,节约投资,建立了浑河沈阳段主要排污口最优化模型,并应用分段线性化对该模型进行了线性化,进而确定排污口最优化线性模型,最后通过M atlab软件求解出各排放口的污水允许排放浓度及最低的处理费用。