Low-temperature caproate production,microbial diversity,and metabolic pathway in xylose anaerobic fermentation

● Converting xylose to caproate under a low temperature of 20 °C by MCF was verified. ● Final concentration of caproate from xylose in a batch reactor reached 1.6 g/L. ● Changing the substrate to ethanol did not notably increase the caproate production. ● Four genera, including Bifidobacterium , were revealed as caproate producers. ● The FAB pathway and incomplete RBO pathway were revealed via metagenomic analysis. Mixed culture fermentation (MCF) is challenged by the unqualified activity of enriched bacteria and unwanted methane dissolution under low temperatures. In this work, caproate production from xylose was investigated by MCF at a low temperature (20 °C). The results showed that a 9 d long hydraulic retention time (HRT) in a continuously stirred tank reactor was necessary for caproate production (~0.3 g/L, equal to 0.6 g COD/L) from xylose (10 g/L). The caproate concentration in the batch mode was further increased to 1.6 g/L. However, changing the substrate to ethanol did not promote caproate production, resulting in ~1.0 g/L after 45 d of operation. Four genera, Bifidobacterium, Caproiciproducens, Actinomyces, and Clostridium_sensu_stricto_12, were identified as the enriched caproate-producing bacteria. The enzymes in the fatty acid biosynthesis (FAB) pathway for caproate production were identified via metagenomic analysis. The enzymes for the conversion of (C_n+2)-2,3-Dehydroxyacyl-CoA to (C_n+2)-Acyl-CoA (i.e., EC 1.3.1.8 and EC 1.3.1.38) in the reverse β-oxidation (RBO) pathway were not identified. These results could extend the understanding of low-temperature caproate production.     

The role of lipids in fermentative propionate production from the co-fermentation of lipid and food waste

● Lipid can promote PA production on a target from food waste. ● PA productivity reached 6.23 g/(L∙d) from co-fermentation of lipid and food waste. ● Lipid promoted the hydrolysis and utilization of protein in food waste. ● Prevotella , Veillonella and norank _f _Propioni bacteriaceae were enriched. ● Main pathway of PA production was the succinate pathway. Food waste (FW) is a promising renewable low-cost biomass substrate for enhancing the economic feasibility of fermentative propionate production. Although lipids, a common component of food waste, can be used as a carbon source to enhance the production of volatile fatty acids (VFAs) during co-fermentation, few studies have evaluated the potential for directional propionate production from the co-fermentation of lipids and FW. In this study, co-fermentation experiments were conducted using different combinations of lipids and FW for VFA production. The contributions of lipids and FW to propionate production, hydrolysis of substrates, and microbial composition during co-fermentation were evaluated. The results revealed that lipids shifted the fermentation type of FW from butyric to propionic acid fermentation. Based on the estimated propionate production kinetic parameters, the maximum propionate productivity increased significantly with an increase in lipid content, reaching 6.23 g propionate/(L∙d) at a lipid content of 50%. Propionate-producing bacteria Prevotella, Veillonella, and norank_f_Propionibacteriaceae were enriched in the presence of lipids, and the succinate pathway was identified as a prominent fermentation route for propionate production. Moreover, the Kyoto Encyclopedia of Genes and Genomes functional annotation revealed that the expression of functional genes associated with amino acid metabolism was enhanced by the presence of lipids. Collectively, these findings will contribute to gaining a better understanding of targeted propionate production from FW.     

基于机器学习的大气PM2.5中金属浓度预测模型的研究

基于2013—2018年哈尔滨市气象数据、大气污染物数据和细颗粒物（PM_2.5）中金属成分数据,采用机器学习方法探索大气PM_2.5中金属浓度预测模型,并选择最优模型进行污染物浓度预测。结果表明,多元线性回归（MLR）、人工神经网络（BP-ANN）、支持向量机（SVM）和随机森林（RF）4种模型中,RF对大气PM_2.5中5种金属［锑（Sb）、砷（As）、铅（Pb）、镉（Cd）、铊（Tl）］的浓度预测效果最佳,在训练集和测试集中表现均较稳定,其中相关系数（r）均＞0.7, 平均绝对误差（MAE）和均方根误差（RMSE）数值较小。RF在大气PM_2.5中金属浓度预测上具有较好的表现,可在缺乏监测和实验数据的情况下,实现对大气颗粒物中金属浓度的快速预测,为全面了解颗粒物中金属污染特征提供数据基础。     

上砂下黏地层中桩‑筒复合基础V‑H承载特性∗

海上风机基础不仅受自重等竖向力V 作用,也因水流、波浪和风等影响而承受水平荷载H。为探讨上砂下黏地层中一种由单桩和吸力筒组成的新型海上风机桩-筒复合基础受V?H 组合作用时的承载特性,自主设计完成了一系列室内桩-筒复合基础V?H 组合加载模型试验,获得不同组合参数下桩-筒复合基础的荷载-位移曲线和桩身弯矩分布曲线,并绘制出V?H 承载力包络线。在此基础上,采用ABAQUS 建立了上砂下黏地层中桩-筒复合基础三维数值分析模型,经模型验证与参数分析,进一步讨论了砂土厚度、筒径、筒高以及加载高度等参数对桩-筒复合基础承载特性的影响曲线,并拟合出桩-筒复合基础承载力简化计算公式,分析结果表明：桩-筒复合基础能显著提高桩身水平承载力,增幅达30%~90%,且增加筒径比增加筒高更有利于提高基础水平承载力;上部砂土层较厚时,桩-筒复合基础存在一个使复合基础水平承载力达到最大的预加竖向荷载最佳值,其值随不同载荷工况在（0.4~0.7）Vult范围内变化。     

基于指标规范值的地表水水质的模糊综合评价

传统的模糊综合评价法用于地表水水质评价,当指标数较多时需要设计很多隶属函数,设计和计算工作量皆很大,实际使用不便。在设定指标参照值和规范变换式基础上,将指标按各级标准规范值相近程度进行适当分类,只需分类设计隶属函数即可,大幅减少了计算工作量,使模糊综合评价法应用于地表水水质评价变得简化。     

实现我国环保产业升级和跨越式发展的对策

本文分析了我国环保产业的现状及存在的问题 ,从环保产业市场的培育、实现环保产业的升级和跨越式发展提出了发展对策的建议     

网络环境下重要信息系统安全体系结构的研究

在阐述信息系统安全、信息系统安全体系结构的基本概念后,主要介绍信息系统安全研究内容,并对目前主流的几类安全体系结构进行对比分析;着重分析重要信息系统的特点和基于可信计算的终端安全体系结构优缺点,并在此基础上提出可信计算与安全机制相结合的方案,同时给出信息安全评估系统的安全体系结构的设计思路,为网络环境下重要信息系统的安全架构提供了一些新的思路。     

基于FDS的天然气集气站分离器喷射火特性仿真研究

天然气集气站火灾事故对集气站安全生产构成严重威胁,研究集气站内关键设备泄漏引发的火灾特性具有重要意义.基于大涡模拟(Large Eddy Simulation)数值方法,针对分离器内介质成分、相态等参数特殊性,采用火灾动力学模拟软件FDS建立集气站卧式气液分离器喷射火模型,对分离器典型泄漏孔径下的喷射火进行数值仿真,研究其火焰几何特性、火场温度及热辐射特性.结果表明,随分离器泄漏孔径的增大,喷射火火焰长度及火焰最大宽度也相应增大.大、小两泄漏孔径的喷射火在充分燃烧区域火焰最高温度分别为1 525 ℃和1 065 ℃.大孔径泄漏的喷射火热辐射值明显高于小孔径,并由于湍流浓度脉动的作用导致热辐射值波动较大,喷射火火焰轴向对称面与相距1.5 m的侧平面上测点热辐射峰值之比与泄漏孔径成正比.根据模拟结果,定量分析了两泄漏孔径下喷射火的危险距离,并提出相应的事故控制措施.     

振动环境下液化气罐内饱和液体状态变化规律研究

液化气在储运过程中存在安全隐患,为分析在运输途中的液化气罐内部压力变化情况,建立液化气罐在受迫振动下的一维数学模型,分析运动过程中饱和液体和气罐的相对运动以及对罐内压力的影响.根据经验公式计算过热液中气泡的生长和消失,并用商业CFD软件CFX模拟在振动过程中罐内介质的状态变化过程,计算由于气泡的生长和消失导致的压力波动.根据这些数据进一步分析罐的振动频率和液体的填充量对汽化速率和压力波动的影响,并得出变化规律.     

郑州市公交车队电动化减污降碳环境效益

公交车队电动化是道路交通部门实现减污降碳的重要手段,评估当前公交车队电动化减排成效,对推进大中型城市公交全面电动化具有重要参考意义.基于燃料生命周期法分析了郑州市公交车队电动化前后CO₂和污染物排放特征,并评估了不同电动化情景下的车队排放.结果表明,本轮电动化使公交车队燃料生命周期内CO₂和PM_2.5排放量分别增长32.6%和42.6%,CO、NO_x和VOC排放量下降了28%,34%和25%.优化发电结构对于电动化过程中的CO₂及PM_2.5减排尤为重要,在全面电动化和发电结构优化的最佳情景下,CO₂、CO、NO_x、VOC和PM_2.5减排可达38.7%、80.1%、84.4%、92.2%、30.2%.在全面电动化进程中,应优先对中长里程线路车辆进行电动化替换,此外,插电混动天然气车型的纯电动化替换对减排利弊兼有,同步推进车队替换和电力结构调整进程才能实现减污降碳协同增效.