Insight into the dynamic microbial community and core bacteria in composting from different sources by advanced bioinformatics methods

Microbial communities are important for high composting efficiency and good quality composts. This study was conducted to compare the changes of physicochemical and bacterial characteristics in composting from different raw materials, including chicken manure (CM), duck manure (DM), sheep manure (SM), food waste (FW), and vegetable waste (VW). The role and interactions of core bacteria and their contribution to maturity in diverse composts were analyzed by advanced bioinformatics methods combined sequencing with co-occurrence network and structural equation modeling (SEM). Results indicated that there were obviously different bacterial composition and diversity in composting from diverse sources. FW had a low pH and different physiochemical characteristics compared to other composts but they all achieved similar maturity products. Redundancy analysis suggested total organic carbon, phosphorus, and temperature governed the composition of microbial species but key factors were different in diverse composts. Network analysis showed completely different interactions of core bacterial community from diverse composts but Thermobifida was the ubiquitous core bacteria in composting bacterial network. Sphaerobacter and Lactobacillus as core genus were presented in the starting mesophilic and thermophilic phases of composting from manure (CM, DM, SM) and municipal solid waste (FW, VW), respectively. SEM indicated core bacteria had the positive, direct, and the biggest (>?80%) effects on composting maturity. Therefore, this study presents theoretical basis to identify and enhance the core bacteria for improving full-scale composting efficiency facing more and more organic wastes.

     

Humification process enhancement through relative abundance promotion of Talaromyces and Coprinopsis by inoculated Phanerochaete chrysosporium during the secondary fermentation of composting

Environmental Science and Pollution Research - To explore the mechanism of Phanerochaete chrysosporium (P. chrysosporium) inoculation driving the humification process of maize straw composting, the...     

厌氧工艺对含铬(Ⅵ)废水处理效果初探

以砂石和活性炭作为填料,自制厌氧生物滤床系统,并对系统进行驯化,发现完成驯化后的稳定系统具有良好的去铬(Ⅵ)能力.废水在系统中经过2 h运行,加入碳源的试验组与不加碳源的对照组的铬(Ⅵ)去除率分别为87.33%和66.31%.恒流泵最佳流量为47 mL/min,外加碳源后,铬(Ⅵ)的浓度由60 mg/L左右降到0.5 mg/L以下,需要4 h,而对照组需要14 h,铬(Ⅵ)浓度由64.66 mg/L提高到 75.53 mg/L时,对本系统负面影响甚微,提高到95.47 mg/L时,系统出水达标所需时间延长到7.5 h.本系统具有耐受一定程度的浓度冲击以及进一步驯化、提高处理负荷的潜力.     

基于强度退化的震损加固型钢混凝土柱抗剪承载力分析

为了建立碳纤维布或外包钢套震损加固型钢混凝土柱的抗剪承载力计算式,基于碳纤维布或外包钢套加固型钢混凝土柱试验研究,分析了原柱材料的地震损伤以及混凝土受剪机理的差异,比较了不同抗剪模型建立的抗剪承载力计算值的差异性。经验证,计算值与其试验值吻合较好,说明基于强度退化的震损加固型钢混凝土柱抗剪承载力计算公式是可行的。基于GB50010-2010、ACI318-08和CSA-04三种不同抗剪模型建立的抗剪承载力计算值差异较大,说明震损加固柱中钢筋混凝土承担剪力的分析不容忽视。     

OECD鱼类生物蓄积测试的优化策略研究

作为化学品风险管理中的重要环境行为参数,生物蓄积性不仅是分类、标签、评价和控制环境风险的基本指标,也是鉴别化学物质持久性和环境危害性的重要标准。2012年OECD颁布了新的生物蓄积测试方法,由此给生物蓄积优化策略带来了全新的挑战,原有的判别优化策略的方法需要作出新的发展与调整。针对新生物蓄积测试方法引发的优化策略挑战,通过层次研究及文献分析,归纳了基于OECD新305生物蓄积测试标准的优化测试策略,为优化、简化测试及化学品安全管理提供了科学基础。     

韶钢外委项目安全管理措施

随着企业用工制度的改革和深化,多层次、多方位、多形式的用工体系已经形成,给企业固有的安全管理网络体系形成了较大的冲击,特别是《安全生产法》的全面实施,给企业的安全管理工作赋予了更多的内容。针对韶钢外委项日实际情况,论述了外委项目安全管理的措施。     

优化、RSA和GLUE方法在非线性环境模型参数识别中的比较

参数识别是数学模型应用的前提,本文对非线性环境模型常用的3种参数识别方法进行了比较分析.优化方法是出现最早、应用最广泛的参数识别方法之一.但在观测误差存在的情况下,采用优化方法识别的最优参数进行模型预测,存在很大的决策风险.考虑到这种不足,RSA方法和GLUE方法摒弃了识别单一最优参数的传统思维,而把识别参数扩大到多点组成的参数集.RSA方法与GLUE方法不同的是,RSA方法把可行的参数点看成是同等接受的,而GLUE方法则根据模拟值与实测值的差别,确定其似然度,代表参数的可信度水平.除参数识别以外,RSA方法和GLUE方法也是全局灵敏度分析的重要工具.     

可再生胺法用于烟道气脱硫吸收解吸一体化的研究

以乙二胺-磷酸为吸收脱硫剂,用自制填料塔作为气液相传质设备,对烟道气中的SO2气体进行脱除和再生实验,通过间歇实验和全连续两种操作工艺,研究了一系列单因素实验,考察了乙二胺浓度、液气比、吸收液初始pH、解吸塔底是否通空气以及温度等对实验吸收率和解吸率的影响,最后得到最佳的工艺操作条件:解吸时塔底通空气,乙二胺浓度0.3～0.4 mol/L,吸收液初始pH=7.3～8.0,液气比L/G=1.0,解吸温度为100℃。