考虑前2阶模态组合的拉索非线性参数共振研究

针对水平拉索的非线性参数共振问题,首先将桥面简化为集中质量块,建立拉索在桥面谐波位移激励下的非线性微分方程,并考虑拉索前2阶模态组合的影响,进而推导索-桥耦合的无量纲非线性运动方程组,最后以实际斜拉桥工程的拉索为例,对拉索发生参数共振的响应进行数值模拟分析。研究表明:当桥面质量块无量纲固有频率Ω3与拉索1阶无量纲固有频率Ω1M之比为2∶1时,拉索的前2阶模态位移和质量块均出现"拍"振现象,且以第1阶模态为主振动模态;而当桥面质量块无量纲固有频率Ω3与拉索2阶无量纲固有频率Ω2M之比为2∶1时,仅有第2阶模态位移和质量块出现"拍"振现象,拉索以第2阶模态为主模态振动,此时第1阶模态位移未出现"拍"振现象;考虑前2阶模态组合时,当质量块的激励频率与系统的固有频率满足参数共振频比关系2∶1时,系统将发生大幅"拍"振现象,且第1阶主模态的位移响应要远大于第2阶主模态的位移响应。     

臭氧/TiO_2纳米管工艺处理水中2,4-二氯酚的效能研究

采用水热合成法制备TiO2纳米材料,用BET、XRD、TEM技术对样品进行表征,结果表明,制备出来的样品均为纳米管,随着煅烧温度的增加,晶型从锐钛矿变成金红石相。实验考察了体系参数对臭氧/TiO2纳米管工艺降解2,4-二氯酚废水影响,结果表明:随着臭氧投加量的增加,废水COD的去除效率随之增加,初始浓度的增加会抑制降解效率,中性或弱碱性水环境有利于反应的进行。另外,通过研究叔丁醇对反应体系的影响,表明实验反应遵循羟基自由基的反应机理。     

臭氧-生物滤池组合工艺深度处理石化废水中试

采用臭氧-生物滤池对石化厂二级出水进行深度处理,研究臭氧对废水COD的去除效果,废水中有机物相对分子质量及荧光物质含量的影响。研究结果表明投加O3后出水COD明显下降,臭氧投加量为20 mg/L,接触时间为15 min,臭氧能有效将大分子有机物转化为小分子物质。使相对分子质量为2.5×103~3.5×103的有机物所占比例由28.46%下降至23.45%,稳定运行时,臭氧-生物滤池对COD平均去除率为47%。     

Enhanced bio-decolorization of 1-amino-4-bromoanthraquinone-2-sulfonic acid by Sphingomonas xenophaga with nutrient amendment

Bacterial decolorization of anthraquinone dye intermediates is a slow process under aerobic conditions. To speed up the process, in the present study, effects of various nutrients on 1-amino-4-bromoanthraquinone-2-sulfonic acid (ABAS) decolorization by Sphingomonas xenophaga QYY were investigated. The results showed that peptone, yeast extract and casamino acid amendments promoted ABAS bio-decolorization. In particular, the addition of peptone and casamino acids could improve the decolorization activity of strain QYY. Further experiments showed that L-proline had a more significant accelerating effect on ABAS decolorization compared with other amino acids. L-Proline not only supported cell growth, but also significantly increased the decolorization activity of strain QYY. Membrane proteins of strain QYY exhibited ABAS decolorization activities in the presence of L-proline or reduced nicotinamide adenine dinucleotide, while this behavior was not observed in the presence of other amino acids. Moreover, the positive correlation between L-proline concentration and the decolorization activity of membrane proteins was observed, indicating that L-proline plays an important role in ABAS decolorization. The above findings provide us not only a novel insight into bacterial ABAS decolorization, but also an L-proline-supplemented bioaugmentation strategy for enhancing ABAS bio-decolorization.     

Synthesis, crystal structure, photodegradation kinetics and photocatalytic activity of novel photocatalyst ZnBiYO4

ZnBiYO₄ was synthesized by a solid-state reaction method for the first time. The structural and photocatalytic properties of ZnBiYO₄ were characterized by X-ray diffraction, scanning electron microscopy, X-ray photoelectron spectroscopy and UV-Vis diffuse reflectance. ZnBiYO₄ crystallized with a tetragonal spinel structure with space group I41/A. The lattice parameters for ZnBiYO₄ were a = b = 11.176479 Å and c= 10.014323 Å. The band gap of ZnBiYO₄ was estimated to be 1.58 eV. The photocatalytic activity of ZnBiYO₄ was assessed by photodegradation of methyl orange under visible light irradiation. The results showed that ZnBiYO₄ had higher catalytic activity compared with N-doped TiO₂ under the same experimental conditions using visible light irradiation. The photocatalytic degradation of methyl orange with ZnBiYO₄ or N-doped TiO₂ as catalyst followed first-order reaction kinetics, and the first-order rate constant was 0.01575 and 0.00416 min^-1 for ZnBiYO₄ and N-doped TiO₂, respectively. After visible light irradiation for 220 min with ZnBiYO₄ as catalyst, complete removal and mineralization of methyl orange were observed. The reduction of total organic carbon, formation of inorganic products, SO₄^2- and NO₃^-, and evolution of CO₂ revealed the continuous mineralization of methyl orange during the photocatalytic process. The intermediate products were identified using liquid chromatography- mass spectrometry. The ZnBiYO₄/(visible light) photocatalysis system was found to be suitable for textile industry wastewater treatment and could be used to solve other environmental chemical pollution problems.     

FeBiO_3的制备及光催化氧化性能研究

以多胺羧酸(H5dtpa)为配体获得同时含铋和铁双金属配合物的配位分子前驱体,通过低温热分解前驱体制得Fe-Bi-O三元复合纳米氧化物粉末。采用XRD、SEM、Uv-Vis DRS、PL以及VSM等方法对所得复合氧化物进行结构和性质表征。结果表明所制备的复合物粒径在100 nm左右,主相为Fe Bi O3,在室温时表现出弱铁磁性,其弱磁性可能来自Fe Bi O3的尺寸限域效应。该复合物在200~600nm范围对光具有较强的吸收,其直接带隙λeg=2.02 e V。另外,分别以甲基橙和苯酚为降解模型,初步研究了其光催化氧化性能,于20 mg/L的弱酸性甲基橙溶液和苯酚溶液中分别添加0.25 g/L制备的Fe Bi O3粉末,甲基橙溶液光照5 h后脱色率为90%,而苯酚溶液光照4 h脱色率达100%。     

活性炭负载DBU流化床吸附CO_2反应条件研究

采用浸渍法将DBU负载到活性炭上制成吸附剂。通过扫描电镜、N_2吸附分析仪、热重分析仪对吸附剂进行表征测定,并在流化床上进行正交实验,研究不同反应条件对活性炭负载DBU吸附CO_2的影响。结果表明:影响活性炭负载DBU流化床吸附CO_2的主要因素是CO_2浓度,其次是DBU负载率和吸附剂质量;最佳反应条件是DBU负载率7.4%,气流量0.8 L/min,水蒸气预处理时间5 min,CO_2浓度10%,吸附剂质量10 g,再生温度为100℃。     

都柳江河道急流-深潭-沙(砾)滩系统水质差异研究

河流是流域生态系统的重要组成部分,河流形态结构与水质变化间关系研究可以为河流生态修复提供理论依据。河流是由急流-深潭-沙(砾)滩不断重复出现构成的系统,急流-深潭-沙(砾)滩是河流的基本结构单元,并以都柳江上、中、下游9个急流-深潭-沙(砾)滩单元为对象,测定了水质指标,分析了山区典型河道基本结构单元与水质变化之间的关系。结果表明:都柳江深潭水体中氮素浓度与pH值大于急流,其浓度分别是总氮0.97mg/L和0.87mg/L;硝酸盐氮0.60mg/L和0.56mg/L;氨氮0.22mg/L和0.20mg/L;pH8.22和8.14。而磷素、溶解氧、BOD5和COD则是深潭小于急流。其浓度分别是总磷0.0187mg/L和0.0202mg/L;正磷酸盐0.0070mg/L和0.0085mg/L;溶解氧11.93mg/L和13.50mg/L;BOD53.75mg/L和5.36mg/L;COD10.986mg/L和12.807mg/L。电导率深潭与急流相等,均为169.7μS/cm。方差分析表明,深潭与急流水体总氮和硝酸盐氮在夏季差异极显著;磷素和pH在春季差异极显著;电导率在秋季差异极显著;氨氮、溶解氧、BOD5和COD差异均不显著。研究工作显示,河流形态结构变化影响着水环境质量,急流-深潭-沙(砾)滩不断重复出现使河流水质得到改善,在河道生态修复中需要遵循河流形态结构规律以便提高河流的自净能力。     

多级强化地下水修复技术对NH_4~+-N的去除机制

为解决地下水污染修复技术中PT(抽出处理)和PRB(渗透性反应墙)存在的一些不足,搭建了MET(多级强化地下水修复技术)小试装置,以NH4+-N为目标污染物,研究MET对地下水中NH4+-N的去除效果及机制.结果表明,在进水水力负荷为14.68 m3/(m2·d)、ρ(NH4+-N)为25.0 mg/L的条件下,装置连续运行45 d,NH4+-N去除率呈先降后升、平稳后再下降的趋势,平均值达90%以上.出水ρ(NH4+-N)平均值为2.0 mg/L,其中,硝化作用和微生物同化作用使ρ(NH4+-N)平均下降13.9和5.2mg/L,分别占进水ρ(NH4+-N)的54%和20%;植物作用、基质永久吸附作用和挥发作用分别使ρ(NH4+-N)下降2.9、0.7和0.7mg/L,占进水ρ(NH4+-N)的12%、3%和3%.综上,MET对地下水中NH4+-N的去除率可达90%,实现了高效去除NH4+-N的目标.     

不确定性能源电力系统-碳贸易模型及其应用——以天津为例

文章将不确定能源电力系统碳贸易模型用于天津市的能源系统规划与碳管理中。研究基于融入区间和随机不确定性优化理论构建了区间随机碳贸易模型,可以处理表现为随机和区间形式的不确定性信息,并可以有效的对能源电力系统中的碳允许排放定额进行再分配。通过将该模型应用于天津市能源电力系统内,可以证明该模型的可行性。文章提出的模型具体可以实现:保证碳排放量达标的前提下,实现能源电力系统的规划与管理;以及在系统成本最小前提下,生成CO气体减排方案。2