避免不可抗力对工厂安全的威胁

洪水、地震、泥石流、台风等不可抗力对工厂安全造成威胁,因此厂址选择阶段如何考虑不可抗力因素,如何处理不可抗力因素与其它建厂条件间的关系十分重要.提出如何避免或减小不可抗力对工厂安全的威胁,并列举工程实例进一步说明处理方法.     

倾斜采空场的空场处理机理分析

在变荷载的条件下 ,推导了倾斜采空场的空场处理前、后正应力的分布。求解了切槽放顶的最佳位置。结果表明 ,倾角为 4 0°,标高为 971.5 m是切槽放顶的最佳位置。松散体接顶后 ,下部水平荷载降低 ,钢砼隔离墙较深部水平承受压力增加 ,顶板应力向三维状态变化 ,有利于安全采矿     

确定电解铝厂卫生防护距离方法研究

针对GB/T 13201-91推荐的企业卫生防护距离计算公式未能体现电解铝厂厂房构造和平面布置的特点,导致计算结果与实际监测数据出入较大,给新建项目选址和现有企业的环境管理带来一些困难等问题.从电解铝厂无组织排放源的特征和推荐公式计算误差的问题入手,根据电解铝厂厂房的实际配置和结构,充分考虑诸多条件下卫生防护距离的计算,并比较了各种方法的计算结果,确定了更符合实际卫生防护距离的方法,从而在一定程度上解决了因GB/T 13201-91给定的公式计算结果偏大给电解铝厂的选址带来的困难.      

活性污泥法处理味精厂废水的工艺优化

经过总结与改进武汉味全食品有限公司近 5年污水处理工艺、设备 ,结果表明 ,经过增加三级曝气池、罗茨鼓风机等工艺改进 ,SS由 132mg/L降为 112mg/L ;NH3 N由 119mg/L降为 37 6mg/L ;Ar OH由 0 0 1mg/L降为 0 0 0 9mg/L ;BOD5由 5年前的 34 6mg/L降为现在的 2 1 2mg/L ;COD由 5年前的 117mg/L降为现在的 6 2 6mg/L ;运行成本由 85 0万降到 4 5 0万 ,通过此工艺的改进及优化 ,基本达到国家污水排放标准 ,完全达到行业排放标准     

基于机器学习和情景分析的我国焦化行业企业用地污染预测

针对焦化行业企业用地缺乏时序连续监测数据而无法预测其污染趋势的问题,从企业特征、企业管理水平、污染物特征和自然地理要素等4个方面选取13个影响企业用地污染的指标,识别焦化行业企业用地污染主控因子,在此基础上构建基于机器学习的焦化行业企业用地污染预测模型,并在不同情境下,对2025年和2030年焦化行业企业用地污染状况进行预测.结果表明,生产经营活动时间、建厂时间、企业环境监管记录、土壤黏粒和年均风速是焦化行业企业用地污染的主控因子;相对于支持向量机模型、BP神经网络模型和决策树模型,逻辑斯蒂模型预测价值高、性能指标稳健,其预测精度受试者工作曲线面积为0.91,模型准确率和召回率分别为84%和88%.在乐观情境下,2025年和2030年焦化行业高概率污染地块数量分别为1599块和1695块;在悲观情境下,2025年和2030年焦化行业高概率污染地块数量分别为1671块和1715块.研究结果可为焦化行业企业用地的修复治理和生态环境的宏观决策提供科学依据.     

Effect of bulk density of coking coal on swelling pressure

Coking coals are the important raw materials for the iron and steel industries and play an important role on its sustainable development, especially on the stamp-charging coke making with the characteristics of increasing the bulk density. There is a significance on the reasonable usage of the coking coal resource with the reduced production cost, improved efficiency of the economy to develop the stamp-charging coke making technology. Important effects of the density of coking coal on the coking and caking properties were investigated. In the article, the maximum values of swelling pressure and variation of Laowan gas coal and Xinjian 1/3 coking coal, Longhu fat coal and Didao coking coal, which were mined at Shenyang and Qitaihe respectively, were investigated under different bulk densities during the coking. The results showed that when the values of density increased from 0.85 ton/m³ to 1.05 ton/m³, for the Laowan gas coal, swelling pressure variation and even the maximum value changed slightly. The swelling pressure was 3.63 KPa when the density was improved to 1.05 ton/m³; for the Xinjian 1/3 coking coal, the values of swelling pressure changed significantly and the maximum values was 82.88 KPa with the density improved to 1.05 when the coal was heated to 600℃. The coke porosity, which was investigated by automatic microphotometer, decreased from 47.4% to 33.1% with the increasing of the density from 0.85 ton/m³ to 1.05 ton/m³, and the decreased value was 14.3%. Meanwhile, the pore structures of four cokes were characterized by an optical microscope.     

Effect of bulk density of coking coal on swelling pressure

Coking coals are the important raw materials for the iron and steel industries and play an important role on its sustainable development, especially on the stamp-charging coke making with the characteristics of increasing the bulk density. There is a significance on the reasonable usage of the coking coal resource with the reduced production cost, improved efficiency of the economy to develop the stamp-charging coke making technology. Important effects of the density of coking coal on the coking and caking properties were investigated. In the article, the maximum values of swelling pressure and variation of Laowan gas coal and Xinjian 1/3 coking coal, Longhu fat coal and Didao coking coal, which were mined at Shenyang and Qitaihe respectively, were investigated under different bulk densities during the coking. The results showed that when the values of density increased from 0.85 ton/m³ to 1.05 ton/m³, for the Laowan gas coal, swelling pressure variation and even the maximum value changed slightly. The swelling pressure was 3.63 KPa when the density was improved to 1.05 ton/m³; for the Xinjian 1/3 coking coal, the values of swelling pressure changed significantly and the maximum values was 82.88 KPa with the density improved to 1.05 when the coal was heated to 600°C. The coke porosity, which was investigated by automatic microphotometer, decreased from 47.4% to 33.1% with the increasing of the density from 0.85 ton/m³ to 1.05 ton/m³, and the decreased value was 14.3%. Meanwhile, the pore structures of four cokes were characterized by an optical microscope.     

重庆废弃煤矿区表层土壤多环芳烃污染特征及风险评价

随着煤炭行业的萧条,废弃煤矿逐渐增加。为有效管理和改善矿区废弃地环境生态系统,采集废弃22年的重庆中梁山马家沟煤矿区内18个表层土壤样品和1个煤矸石样品,以及矿区之外的2个背景土壤样品,分析样品中多环芳烃（USEPA 16 PAHs）、正构烷烃（n-alkanes）、汞（Hg）和有机质（OM）含量水平。结果表明,表层土壤中PAHs的平均含量为170.3 ng/g,低于我国正在运行的煤矿区土壤PAHs含量水平,高于山区背景土壤PAHs含量水平。主成分分析（PCA）结果表明煤燃烧释放和原煤残渣分别贡献78.3%和17.6%,是表层土壤中PAHs的主要来源。PAHs与n-alkanes的相关系数r=0.83（P<0.01）,表明土壤中两者具有类似的输入途径和富集行为。PAHs与Hg之间不存在相关性,表明煤矿长期废弃后,这两种与矿区活动释放有关的污染物的环境归趋有显著差异。PAHs和OM之间也不存在相关性,表明与煤矿相关的有机质来源已经被植物、微生物的分泌物质及其残体的有机质替代,生态环境正逐步恢复。风险评价结果表明PAHs含量水平相对安全。值得注意的是,Hg含量超过农用地土壤污染风险筛选值。因此,政府对矿区旧址的土地利用应当基于多污染参数的叠加结果,避免单一指标的片面性评价与诊断。     

炼焦过程及周边环境颗粒物中水溶性无机离子特征

为明确炼焦过程排放颗粒物及周边环境颗粒物中水溶性无机离子的污染特征,于2012年5月利用改良的标准大体积总悬浮颗粒采样器采集燃烧室废气烟囱排放、焦炉顶无组织排放及焦炉周边环境空气TSP（total suspended particulates,总悬浮颗粒物）样品,使用Staplex234大流量采样器采集焦炉顶无组织排放及焦炉周边环境空气PM_1.4样品,采用ICS-90离子色谱仪测试样品中SO₄2-、NH₄+、Ca2+、Cl-、NO₃-、F-、Mg2+、K+、Na+共9种水溶性无机离子.结果表明:SO₄2-为炼焦过程排放的特征离子.炼焦过程燃烧室废气烟囱排放的TSP中总水溶性无机离子质量浓度最高,为（5 493±901）μg/m3;其次为焦炉顶无组织排放的TSP,其总水溶性无机离子质量浓度为（902±222）μg/m3;焦炉周边环境空气的TSP中总水溶性无机离子质量浓度最低,为（712±288）μg/m3.SO₄2-为燃烧室废气烟囱排放TSP与燃煤锅炉烟气排放颗粒物中共有的主要特征离子,但与燃煤锅炉烟气相比,燃烧室废气烟囱排放的w（SO₄2-）略低,w（F-）则相反.NH₄+较易富集于焦炉顶无组织排放的细颗粒物中,而SO₄2-则较易富集于粗颗粒物中.研究显示,炼焦过程及焦炉周边环境空气颗粒物中9种水溶性无机离子分布特征不同,SO₄2-是燃烧室废气烟囱排放、焦炉顶无组织排放的TSP中质量浓度最高的水溶性无机离子.      

市政污泥接种焦化废水好氧降解能力及微生物群落演替的响应分析

焦化废水是毒性很大的典型工业废水,生物处理过程中需要微生物具备很强的适应能力.以探讨焦化废水对微生物的毒性抑制以及微生物对焦化废水的适应过程为目的,通过于焦化废水原水中接种市政污泥,在考察COD、苯酚、氨氮和硫氰化物等主要污染物指标降解的基础上,运用Illumina高通量测序平台分析降解过程微生物群落组成及多样性变化的响应关系.结果表明,接种了市政污泥的焦化废水培养16 h后COD开始下降,40 h时苯酚降解了97.14%,72 h时硫氰化物开始降解,96 h时硫氰化物浓度低于检测限,氨氮浓度随着硫氰化物的降解而升高.群落测序分析表明,不同培养阶段污泥中微生物表现出群落结构及丰度上的差异:在苯酚降解阶段,苯酚优势降解菌Acinetobacter、Pseudomonas的丰度增大,48 h总相对丰度为13.04%;在硫氰化物降解阶段,Sphingobacterium、Brevundimonas、Lysobacter、Chryseobacterium为主导菌属,96 h时其总相对丰度为16.13%;在144 h阶段,优势菌属则变为Fluviicola、Stenotrophomonas和Thiobacillus,总相对丰度为22.45%.由此认为,市政污泥克服了焦化废水中毒性成分的抑制作用之后能迅速适应环境,表现出微生物群落结构随着废水降解成分的变化而改变,环境因子和降解功能菌之间的竞争是群落结构演变的主要因素.