Continuous CO2 capture and MSWI fly ash stabilization, utilizing novel dynamic equipment

Novel dynamic equipment with gas in and out continuously was developed to study the capture capacity of CO₂. Municipal solid waste incineration (MSWI) fly ash has a high capture rate of CO₂ in CO₂-rich gas. Fly ash can sequester pure CO₂ rapidly, and its capacity is 16.3 g CO₂/100 g fly ash with no water added and 21.4 g CO₂/100 g fly ash with 20% water added. For simulated incineration gas containing 12% CO₂, the capture rate decreased and the capacity was 13.2 g CO₂/100 g fly ash with no water added and 18.5 g CO₂/100 g fly ash with 20% water added. After accelerated carbonation, the C and O contents increased, indicating CO₂ capture in the fly ash; CO₂ combines with Ca(OH)₂ to form CaCO₃, which increased the CaCO₃ content from 12.5 to 54.3%. The leaching of Pb markedly decreased from 24.48 to 0.111 mg/L.     

痕量壬基酚及相关化合物的样品预处理和测定

对近年来环境样品中痕量内分泌干扰物壬基酚及相关化合物的分离富集方法和测定技术的研究进展进行了综合评述。重点讨论了索氏提取、液液萃取、液膜分离、回流萃取、固相萃取、固相微萃取、超临界流体萃取、超声提取八种样品预处理方法和气相色谱质谱联用、高效液相色谱两种测定方法,而且针对以上方面提出了尚需进一步研究的问题。     

Evaluation of PCDD/F congener distributions in MWI flue gas treated with SCR catalysts

Partitioning of PCDD/F congeners between gaseous and particulate phases and removal efficiencies of the air pollution control devices (APCDs) for PCDD/Fs at an existing municipal waste incinerator (MWI) in Taiwan are evaluated via stack sampling and analysis. The MWI investigated is equipped with electrostatic precipitators (EP), wet scrubbers (WS) and selective catalytic reduction system (SCR) as APCDs. The average PCDD/F concentration of stack gas is 1.49 ng/N m³, and the International Toxic Equivalent Quantity (I-TEQ) is 0.043 ng-I-TEQ/N m³. The EP increases PCDD/F concentration by 174.0% while the average removal efficiency of WS + SCR system for PCDD/Fs reaches 99.1%. In addition, the PCDF removal efficiency achieved with WS + SCR system (97.1–99.8%) is higher than that for PCDDs (96.5–99.3%). The results obtained on gas/particulate partitioning in flue gas indicate that the particulate-phase PCDD/Fs accounted for 65% at the inlet of EP, 20% at the outlet of EP and 50% at the stack, respectively, of the total PCDD/F concentrations. This study also indicates that as the chlorination level of PCDD/F congeners increases, the percentage of PCDD/Fs existing in gas phase decreases in all flue gas samples.     

Spatiotemporal Features of Severe Air Pollution in Northern Taiwan (8 pp)

Background, Aims and Scope This research attempted to identify the dominant factors simultaneously affecting the airborne concentrations of five air pollutants with principal component analysis and to determine the meteorologically related parameters that cause severe air-pollution events. According to the definition of subPSI and PSI values through the U.S. EPA, the historical raw data of five criteria air pollutants, SO2, CO, O3, PM10 and NO2, were calculated as daily subPSI values. In addition to the airborne concentrations, this study simultaneous collected the surface meteorological parameters of the Taipei meteorological station, established by the Central Weather Bureau. Methods Principal component analysis was conducted to screen severe air pollution scenarios for five air pollutants: SO2, CO, O3, PM10 and NO2. The concentrations of various air pollutants measured at 17 air-quality stations in northern Taiwan from 1995 to 2001 were transformed into daily subPSI values. The correlation analysis of the five air pollutants and four meteorological parameters (wind speed, temperature, mixing height and ventilation rate) were included in this research. After screening severe air pollution scenarios, this study recognized the synoptic patterns easily causing the severe air-pollution events. Results and Discussion Analytical results showed that the eigenvalues of the first two principal components for SO2, CO, O3, PM10 and NO2 were greater than 1. The first component of five air pollutants explained 64, 64, 67, 76 and 63% of subPSI variance for SO2, CO, O3, PM10 and NO2, respectively. Only the correlation coefficient of NO2 and CO had statistically significant positive values (0.82); other pollutant pairs presented medium (0.4 to 0.7) or low (0 to 0.4) positive values. The correlation coefficients for air pollutants and three meteorological parameters (wind speed, mixing height and ventilation index) were medium or low negative values. In northern Taiwan, spring was most likely induced high concentrations and the component scores of the first component for SO2, CO, PM10 and NO2; summer was the worst season that caused high O3 episodes. Consequently, the analytical results of factor loadings for the first principal component and emission inventory of various sources revealed that mobile sources were dominant factors affecting ambient air quality in northern Taiwan. Conclusion According to the results of principal component analysis for the five air pollutants, the first two of 17 components were cited as major factors and explained 71% of subPSI variance. Based on the inventory of NOx emissions and the isopleth diagram of factor loading for the first component, mobile sources in the southwest Taipei City accounted for the highest factor loading values and emission inventory values. Synoptic analysis and principal component analysis demonstrated that three types of weather patterns (high-pressure recirculation, prefrontal warm sector and the southwesterly wind system) easily caused the severe air-pollution scenarios. In summary, if severe air-pollution days occurred, the average meteorological parameters experienced adverse conditions for diffusing air pollutants; that is, the average values of wind speed, mixing height and ventilation index were lower than 2.1 ms-1, 360 m and 800 m2s-1, respectively. If one of the three synoptic patterns were to occur in combination with adverse meteorological conditions, severe air-pollution events would be developed. Recommendation and Outlook By utilizing synoptic patterns, this work found three weather systems easily caused severe air-pollution events over northern Taiwan. Analytical results showed, respectively, the wind speed and mixing height were less than 2.1 m/s and 360 m during severe air-pollution events.     

掺聚丙烯纤维的高强混凝土高温性能研究

高强混凝土的渗透性很低,高温下可能出现爆裂破坏现象,严重影响混凝土及其内部钢筋的结构使用性能。本文通过改变聚丙烯纤维掺量,研究其改善高强混凝土高温爆裂性能,以及高温后高强混凝土吸水率、剩余强度性能及其恢复性能。     

Applying mass transfer models for controlling organic compounds in ozonation process

Mass transfer plays a significant role in the ozonation process. The prediction models associated with the volumetric overall mass transfer coefficient (K_La) and initial fractional ozone absorption (FOA₀) during the ozonation process were developed through the use of dimensional analysis. It was found that the volumetric overall mass transfer coefficient is the function of diffusivity, agitation speed, and gas flow rate, and the parameters in the K_La equation are determined. Application of the prediction models for K_La and FOA₀ would yield information to choose the most practically feasible operating parameters. The removability of total organic carbon (TOC) can be estimated based on the mass balance relationship and kinetic expression of TOC oxidation, during continuous laboratory ozonation of humic acid solution. The reaction rate constant averaged 0.0291 L/mg·min. The developed model in combination with the mass transfer and reaction kinetics can be used successfully in forecasting the most efficient agitation speed to control the formation of organic compounds. Also, the critical value of ozone partial pressure to achieve the highest TOC removability can be determined through the use of the above developed model.     

气候变化对涟水流域蓝水绿水资源的影响

利用SWAT分布式水文模型模拟分析1996~2015年过去20 a及2020~2079年未来60 a长期气候变化背景下涟水流域蓝水绿水资源的时空分布变化特征。将气候变化划分为1996~2015年、2020~2049年、2050~2079年三段气象背景时期,选用Had GEM2-AO大气模式的RCP2.6、RCP4.5、RCP6、RCP8.5四种典型浓度路径作为未来时期的气象输入条件,并细分为9种气候变化情景。运用PSO粒子群优化算法,以KGE克林效率系数为目标函数,采用湘乡站实测径流量及MOD16蒸散发数据并行校准模型参数,通过p-factor、r-factor、R2、NSE和PBIAS评价模型模拟效果和不确定性,评价结果表明校准期及验证期蓝水绿水模拟均达到可信程度。情景分析结果表明,对比1996~2015年、2020~2049年、2050~2079年三段气候背景时期,在各RCP浓度路径下蓝水均呈现了不同程度的下降趋势,大约降低了1.4%~17.3%,绿水流均表现出一定的上升趋势,约增长3.5%~12.4%,绿水蓄量则在持续降低,大致下降了7.8%~19.7%,即使将95PPU模拟不确定性范围考虑进来,绿水流的增长趋势也较为明显。因此,将绿水资源纳入涟水流域未来水资源评价体系,实现蓝水绿水综合规划管理具有实际意义。     

中国城市矿产政策演化研究

城市矿产是工业化和城市化过程的产物,它是蕴藏于城市中有较高经济价值并可回收利用的二次资源,具有载能性、循环性、战略性。随着工业化、城镇化和消费持续升级,"垃圾围城"已然成为中国许多大中城市亟需解决的环境问题,严重阻碍中国的可持续发展。城市矿产变废为宝,能有效化解资源与环境双重约束。为此,中国政府先后出台一系列城市矿产产业政策以推动其快速发展。本文收集1987—2015年国家层面颁布的相关政策文件,在运用内容分析法对政策文本梳理、编码并统计计量的基础上,首先从颁布部门、数量、力度等方面对政策体系进行总体分析,然后构建并运用政策工具-政策作用环节两维度分析框架,探讨中国城市矿产政策体系的演化过程及发展特征。研究发现:(1)从政策发展历程分析,中国城市矿产政策体系经历了依附环境保护政策的孕育期、体系初建的形成期和效力深化的发展期。(2)从政策颁布维度分析,中国城市矿产政策颁布速度逐渐加快,力度逐渐增强,参与机构数量不断增多。(3)从政策工具维度分析,中国城市矿产政策体系以环境型政策为主,逐渐呈现出强化供给型政策的演化趋势。(4)从政策作用环节分析,中国城市矿产政策体系由重点关注回收、深加工环节向关注全产业链环节演变。最后,针对中国城市矿产政策体系演变特征与存在的不足,本文从以下三个方面提出了促进中国城市矿产产业发展的政策建议:一是加强部际联系,完善顶层设计;二是加强消费引导,完善需求型政策;三是立足产品全生命周期,健全产业政策体系。     

基于资源-技术-环境的高技术城市矿产战略性筛选

城市矿产中蕴含大量的高技术矿产,它们是战略性新兴产业发展的关键原材料。本文从中国国情出发,界定了涵盖新能源技术、通讯设备、交通工具、电池、电器电子产品等5大类共计27种高技术城市矿产,从资源、技术、环境三个维度设计了11项指标,对高技术城市矿产进行战略性筛选;并通过半定量化不确定性分析方法确定研究结果的可靠性。结果显示:(1)从资源-技术两维度看,电器电子产品用电池资源指数高,且技术相对成熟;动力汽车电池资源指数值略低,但未来开发潜力大。(2)从资源-环境两维度看,电池是拆解处置重点。(3)从资源-技术-环境三维度来看,高技术城市矿产可以分为四个梯队:高资源指数、高技术指数、高环境指数的"三高"梯队,包括EEE用镍氢电池、EEE用镍镉电池、EEE用锂离子电池;中高资源指数、中高技术指数、中高环境指数的"三中高"梯队,包括手机和动力汽车电池;低资源指数、低技术指数、中高环境指数的"二低一中高"梯队,包括风涡轮机、荧光灯、动力汽车永磁电机和电话机;资源指数、技术指数、环境指数都相对较低的"三低"梯队,包括电器电子产品和光伏电板。此外,随着时间的推移,筛选结果会发生动态变化,因此高技术城市矿产的战略性筛选是一个持续动态的评估过程,需要建立与之相适应的"开发一批、储备一批、谋划一批"的动态管理系统。基于研究结论,本文从高技术城市矿产的基础数据库建立、重点开发目录制定与调整、在线回收与交易平台构建、拆解技术储备以及可持续供应体系建立等方面提出了建议。