不同粒径零价铁（ZVI）对污水污泥H_2S和CH_4释放速率的影响

考察了不同粒径零价铁（ZVI）,包括200目普通铁粉（200m-ZVI）、800目超细铁粉（800m-ZVI）和纳米铁粉（nZVI,粒径=20 nm）,对污水污泥的硫化氢和甲烷释放速率的影响。研究发现：（1）在22 d内,添加0.1%的200m-ZVI使污泥的硫化氢释放速率提高48.0%,而添加0.1%的800-ZVI和nZVI,则使污泥的硫化氢释放速率分别降低33.1%和77.1%;（2）不同粒径ZVI均可以提高污泥沼气中的甲烷浓度,且依次为nZVI〉800m-ZVI〉200m-ZVI;（3）在23 d内,添加0.1%的200m-ZVI和nZVI使污泥的甲烷累计产生量分别提高了15.5%和40.6%,而添加0.1%800m-ZVI则使甲烷产生量降低了12.5%。nZVI可以有效控制污泥的硫化氢释放,并显著提升污泥在厌氧发酵过程的产甲烷速率。     

基于统计回归模型的硫化矿石自燃倾向性鉴定指标研究

合理的提出硫化矿石自燃倾向性的鉴定指标,准确鉴别其自燃倾向性,对于矿山防火工作有着重要的意义。本文采用应用非常广泛的一类随机模型—统计回归模型,首先通过分析硫化矿石自燃氧化机理,找到影响硫化矿石自燃倾向性的3个主要影响因素,实验获得相关数据;其次基于3个因素的数据,通过统计分析,建立回归模型,对硫化矿石自燃倾向性进行预测。     

非热强介质等离子体反应器用于臭味气体的分解

对非热强介质等离子体反应器用于臭味气体———氨、硫化氢、甲基硫醇的分解进行了试验研究。研究了施加电压、停留时间、初始浓度对臭味气体分解率的影响 ,并对氨的分解产物进行了初步分析。结果表明 ,在这 3种气体的初始体积分数分别为 2 5× 10 -6和 5 0× 10 -6的条件下 ,当施加电压为 16kV、停留时间为 0 .2 3s时 ,氨的分解率达到 97%以上 ;当停留时间为0 .2 3s时 ,硫化氢和甲基硫醇分别在 10kV和 8kV时达到 10 0 %的分解。     

石脑油罐硫铁化合物自燃原因分析

对一起石脑油罐硫化铁化合物自燃事故的经过和原因进行了分析 ,推断出发生在石脑油罐硫铁化合物自燃并非为FeS自燃 ,并提出了预防同类事故的防范措施。     

EMMC process for combined removal of organics, nitrogen and an odor producing substance

In order to improve the process performance regarding the removal of organics, nitrogen, and an odor-causing compound (sulfide) contained in domestic wastewater, an entrapped-mixed-microbial cell (EMMC) with and without humic substances for both fixed and moving carrier reactors and conventional suspended growth culture (i.e. conventional activated sludge process) were investigated simultaneously. Both synthetic (simulated to the organics concentration of general domestic sewage) and actual domestic wastewater were investigated under operational conditions of 12 h of hydraulic retention time (HRT) with 1 h of aeration and 1 h of non-aeration, and 6 h of HRT with continuous aeration, at a room temperature of 25 +/- 2 degrees C. It was found that entrapping humic substances in the EMMC carriers had no impact on the removal of organics, nitrogen, and the odor-producing compound. Additionally, the performance of the EMMC moving carrier system for the removal of these pollutants is similar to that of the EMMC fixed carrier system. In general, the EMMC associated systems which provide high solids retention time achieve a better removal of chemical oxygen demand (COD), nitrogen, and the odor-producing substance than the suspended growth system for both HRTs of 6 h (continuous aeration) and 12 h (1 h of aeration and 1 h of non-aeration). Both the fixed and moving carrier EMMC processes, therefore, have the potential for improvement or replacement of the existing conventional activated sludge process with regard to improving the effluent qualities (such as COD, nitrogen and odor-producing compound) for reuse/disposal.     

用生物滴滤床处理H2S和挥发性有机物混合废气

用生物滴滤床（BTF）处理某化工厂污水站的H2S和挥发性有机物（VOCs）混合废气，当废气中H2S质量浓度为120～400mg／m^3、VOCs质量浓度为115～340mg／m^时，运行稳定后H2S和VOCs的去除率为95％和85％。考察了影响BTF运行的循环水水质情况，试验结果表明：加入Na2CO3可使循环水pH控制在3～6；循环水中含盐量、Cl^-质量浓度和SO4^2-质量浓度分别为2200～3300，600～800，1200～1400mg／L，均未达到抑制微生物的水平。     

用改性活性碳纤维去除CO2原料气中的H2S

采用固定床动态吸附实验，用改性活性碳纤维（ACF）吸附去除CO2原料气中的H2S。通过改变改性剂种类、反应温度和原料气中CO2浓度，找出用改性ACF去除CO2原料气中H2S的规律。实验结果表明：常温下，可用NaON改性的ACF来消除CO2的酸性对去除H2S的不利影响；随着反应温度的升高，CO2与ACF形成的C（O＊）中间产物增多，CO2的存在有利于改性ACF去除H2S；而当反应温度过高时，CO2与ACF形成的C（O＊）中间产物发生分解，导致ACF碳化，不利于H2S的吸附去除。     

多因素耦合条件下硫化矿自燃神经网络动态预测模型研究

硫化矿石自燃是多种因素、多场耦合综合作用的结果,是一典型的非线性问题。笔者应用人工神经网络技术,以Matlab软件为平台,通过现场调查和理论分析,建立了矿石含硫量、通风强度、环境温度3因素与硫化矿石自燃之间的预测模型;通过数据样本学习与部分现场监测数据相结合进行模拟,研究表明预测数据与实测结果基本吻合,误差控制在10%以内,取得了较好的效果。该研究为预防硫化矿石自燃提供一个新的思路和方法,具有一定的理论意义和应用价值。     

Electrochemical study of sulfide solution in the presence of surfactants

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Thermodynamic method for the prediction of solid CO2 formation from multicomponent mixtures

The increase in GHG concentration has a direct effect on global climate conditions. Among the possible technologies to mitigate GHG emissions, CCS is being accepted to gain emission reduction. Such technology also involves cryogenic CO₂ capture processes based on CO₂ freeze-out or where the formation of solid CO₂ must be avoided. Captured CO₂ is usually transported in pipelines for the reinjection.The risk associated to the release of CO₂ is due to the changing temperatures and pressures the system may experience, which can lead to the deposition of solid CO₂ where it must be avoided. Prolonged exposure to dry ice can cause severe skin damage and its resublimation could pose a danger of hypercapnia. It is, thus, necessary to build up a tool able to predict the conditions in which CO₂ can freeze-out.A thermodynamic methodology based on cubic EoSs has been developed which is able to predict solid–liquid–vapor equilibrium of CO₂ mixtures with n-alkanes or H₂S which are usually found in equipment for acidic gas, mainly natural gas, treatment.The focus is a detailed analysis of the method performances when more than two components are present since, for such a case, literature does not provide significant modeling results.