餐厨垃圾与污水污泥共消化产酸试验研究

研究了餐厨垃圾与污水污泥在不同混合比例、不同污泥停留时间条件下的共消化产酸效果。试验结果表明:当餐厨垃圾与污水污泥TS比为1∶3时,SRT=1 d的反应器酸化效率最高,且乙酸含量占优,产酸效果较佳;当TS之比为1∶1时,各反应器产酸量普遍高于1∶3时,其中SRT=5 d产酸反应器,最高酸化效率达5.94,产酸量最大,且乙酸含量占优,运行效果最佳。     

不同曝气强度下SBR系统污染物去除及N_2O排放研究

为考察曝气强度对SBR(A/O)系统N2O产生量的影响,试验采用人工合成废水长期驯化2个月后的污泥,分别考察了在0.2,0.4,0.6L/min三个曝气强度下对污染物的去除情况及N2O的产生情况。结果表明:在三种曝气强度下磷酸盐的平均去除率均可达95%⁹8%,低曝气强度下N2O释放量明显高于中等曝气强度,高曝气强度下N2O释放量最大,0.4L/min曝气强度下污染物去除率最好N2O释放量低,因此确定为最佳曝气强度。     

Ethyl thiosemicarbazide intercalated organophilic calcined hydrotalcite as a potential sorbent for the removal of uranium(VI) and thorium(IV) ions from aqueous solutions

This work was conducted to determine the practicability of using a new adsorbent 4-ethyl thiosemicarbazide intercalated,organophilic calcined hydrotalcite(ETSC-OHTC) for the removal of uranium(U(VI)),and thorium(Th(IV)) from water and wastewater.The FTIR analysis helped in realizing the involvement of nitrogen and sulphur atoms of ETSC in binding the metal ions through complex formation.Parameters like adsorbent dosage,solution pH,initial metal ions concentration,contact time and ionic strength,that influence adsorption phenomenon,were studied.The optimum pH for maximum adsorption of U(VI) and Th(IV) was found to be in the range 4.0-6.0.The contact time required for reaching equilibrium was 4 hr.The pseudo second-order kinetic model was the best fit to represent the kinetic data.Analysis of the equilibrium adsorption data using Langmuir,Freundlich and Sips models showed that the Freundlich model was well suited to describe the metal ions adsorption.The K F values were 25.43 and 29.11mg/g for U(VI) and Th(IV),respectively,at 30°C.The adsorbent can be regenerated effectively from U(VI) and Th(IV) loaded ones using 0.01mol/L HCl.The new adsorbent was quite stable for many cycles,without much reduction in its adsorption capacity towards the metals.     

Warm forming die design,part I: Experimental validation of a novel thermal finite element modeling code

Finite element analysis (FEA) has become an invaluable tool in the design of sheet metal stamping dies and processes. FEA has gained widespread acceptance as the best method of optimizing dies for conventional stamping processes. More recently, FEA has been shown to be an effective method of designing tooling for sheet forming processes. In this work, an FEA based approach is applied to the warm stamping (warm forming) process. This work introduces a new thermal finite element analysis software called PASSAGE®/Forming (PASSAGE) that enables the up-front design of the thermal management of warm forming dies. This thermal finite element analysis software is designed to specifically handle the forming and optimization scenarios related to the heating of a stamping die while minimizing user interface time. In this work, PASSAGE has been applied to a simple block of steel embedded with cartridge heaters to validate the prediction capability of this software under two different heating conditions. The results show that PASSAGE is capable of predicting the actual steady-state temperature distribution within the block with an acceptable level of accuracy while yielding notable information to the user with respect to specifying power requirements. A finite element software package like PASSAGE is a valuable tool that will aid greatly in the implementation of warm forming as a manufacturing process beyond the scope of the laboratory and into production.     

Part based process performance monitoring (PbPPM)

The performances of completed manufacturing processes were evaluated using the surface response to excitation (SuRE) and Lamb wave methods. Both methods used the same piezoelectric elements attached to the surface of the workpiece. The SuRE method and the Lamb wave method were used to identify the structural changes created by welding, drilling, coating, filling a slot with glue, and composite patching. This study indicates that the tested methods are feasible for part based process performance monitoring (PbPPM) which evaluates the quality of the completed process with the sensors attached to the workpiece.     

Meeting emission targets under uncertainty—the case of Finnish non-emission-trading sector

The European Union (EU) has set a target to reduce its greenhouse gas (GHG) emissions at least 10 % below the 2005 levels by 2020 in the non-Emission Trading Sector (non-ETS). As part of this, each Member State has a binding national emission limitation target for the non-ETS sector. Finland’s target, examined as a case study in this paper, is to reduce emissions at least 16 % below 2005 levels by 2020. The objective of this study is to find cost optimal mitigation portfolios that meet Finland’s reduction target and to analyze the risks of not attaining the emission target or exceeding the assumed costs. The question was addressed with a stochastic optimization model, Stochastic Optimization of non-ETS Emissions (SONETS) selecting separate mitigation measures that meet the target on expectation. The results show that optimal portfolios include relatively high uncertainty both in costs and achieved reductions. The prices of crude oil and diesel, and the abatement cost of reducing hydrofluorocarbon (HFC) emissions seem to account for the majority of uncertainty regarding total costs. The baseline predictions for various non-ETS subsectors (such as transport and agriculture) were found to have the greatest contribution to the uncertainty of attaining emission target. The results also show that some abatement actions are chosen in nearly all efficient portfolios, while other actions are seldom chosen. For example replacing oil burners in the end of technical life time or recovery of methane (CH₄) from waste are often chosen whereas ban of landfilling of organic waste is chosen extremely seldom. It also seems that the results are somewhat sensitive to the inclusion or exclusion of the interdependencies of mitigation measures.     

Presence of Torque Teno Virus (TTV) in Tap Water in Public Schools from Southern Brazil

Torque teno virus (TTV) was surveyed in tap water collected in schools from three municipalities located in the south of Brazil. TTV genomes were found in 11.7 % (4/34) of the samples. TTV DNA was detected in 10.5 % (2/19) of the samples collected at the city of Caxias do Sul and in 25 % (2/8) of the samples from Pelotas. Those cities have a low rate of sewage treatment. All samples from Santa Cruz do Sul, which has nearly 92 % of its sewage treated, were negative. These results suggest that the amount of sewage treated may have an effect on the detection rates of TTV DNA in drinking water in a given urban area, showing a mild negative correlation (r = ?0.76), when comparing the percentage of sewage treatment to the detection of TTV genomes. The detection rate of TTV was also compared with Escherichia coli, showing a strong correlation (r = 0.97), indicating that TTV may be a suitable marker of fecal contamination.     

某热电厂职业病危害现状调查分析

目的 调查热电厂作业场所危害因素分布特点及浓度,结合作业人员职业健康检查结果,探究各类职业病危害因素对作业人员健康的影响.方法 采用现场职业卫生学调查对热电厂各车间职业病危害因素进行识别,依据作业场所各类职业病危害因素健康效应、现场检测浓度和强度,结合作业人员近2年职业健康检查结果进行对照分析.结果 作业场所各类化学物质检测浓度均符合国家卫生限值要求,粉尘个别检测值超过卫生限值要求;个体噪声检测强度超出卫生限值要求;近2年职业健康检查结果显示,每年均筛检出噪声岗位职业禁忌证患者,且血压升高和肺功能异常人数有所增加.结论 热电厂作业工人听力异常受作业场所高噪声影响较明显,肺功能异常可能受粉尘、氢氧化钠、盐酸、氨等职业病危害因素影响.     

臭气浓度无组织排放现场监测中常见问题的探讨

目前恶臭污染源排气及环境空气样品臭气浓度的测定一般采用三点比较式臭袋法。该方法侧重于臭气样品的实验室分析,对样品的现场采集部分未作具体要求。本文针对臭气浓度无组织排放现场监测中的常见问题,尤其是现有标准和规范中未明确的内容,从排放源的确认、生产工况的监督、气象条件的选择、监控点位的设置、监测频次的选择以及现场原始记录等方面进行了探讨,结合多年现场监测工作实践,提出了一些解决办法,使现场监测工作更具规范性和有效性。     

广西邦亮东黑冠长臂猿栖息地的气候资源分析

气候资源是影响动物行为、发育、存活、繁殖与分布等的重要因子。为了探明广西邦亮东黑冠长臂猿栖息地的气候环境特征,对其栖息地附近县(乡)的主要气象要素进行统计与分析。结果表明:广西邦亮东黑冠长臂猿栖息地年均日照时数为1 521.8小时,月变幅为25.44%;年均气温为19.1℃,最冷月平均气温为11.0℃,最热月平均气温为25.0℃;年均降雨量为1 606.3 mm,月变幅为86.05%;年均蒸发量为1 507.1 mm,月变幅为28.06%;年均相对湿度为80%,月变幅为2.60%;年均风速为1.5 m/s,月变幅为15.4%。