中国碳捕集、利用与封存技术研发与示范

碳捕集、利用与封存(CCUS)是一项新兴的、具有大规模减排潜力的技术,有望实现化石能源使用的CO2近零排放,被认为是进行温室气体深度减排最重要的技术路径之一.开展CCUS技术的研发和储备,将为中国未来温室气体减排提供一种重要的战略性技术选择,受到政府、企业和学术界的广泛关注.本文从CCUS技术产生和发展的背景出发,概括了该技术的特点及存在的主要同题,总结了当前中国CCUS技术政策,介绍了中国CCUS技术研发、试点示范、国际合作等的开展情况,并通过与欧美等发达国家CCUS技术发展与示范活动现状的对比,初步分析了中国CCUS技术发展方面存在的主要不足.为进一步推动我国CCUS技术的研发与示范,文章提出应加强国家层面的技术政策指导和宏观协调、引导资源有效配置;推动建设行业间的CCUS技术合作平台;重视CCUS来来技术应用软环境建设等有针对性的建议.     

铜陵市资源利用与经济增长关系分析

资源利用与经济增长之间的关系是资源与环境经济学研究的重要领域。以安徽省铜陵市为例,尝试运用物质流分析方法以及最新发展的自回归分布滞后模型（ARDL）对铜陵市1990~2008年资源利用和实际GDP二者关系进行检验和分析。采用了物质流分析指标中直接物质投入来表征区域资源利用量。ARDL边界检验结果表明了资源利用和经济增长间存在稳定的长期均衡关系。进一步通过ARDL-ECM模型分析了区域经济增长对资源利用长期弹性系数和短期弹性系数,并揭示出资源利用对经济增长的短期和长期因果关系。研究结果表明当前资源投入在一定程度上拉动了铜陵经济增长。同时还对铜陵经济增长和资源保护战略提出了政策建议     

我国工业场地再利用的环境风险管理困境及对策

我国污染场地再利用的开发活动日渐增多,伴随场地的再利用对环境和人体健康造成不良影响的环境事件也愈加频繁。在土壤污染防治立法、相关的土壤环境质量标准与监管制度都欠缺的情况下,针对污染场地再利用环境风险管理的项目规划的失当、环境风险评估指标的缺失及监督管理制度不健全的障碍,应加强区域环评与单项建设项目环评的协调,落实场地监管主体、层级及各自的监管职责,形成环境损害赔偿机制,从而健全场地环境风险管理制度。     

Simultaneous determination of estrogenic odorant alkylphenols,chlorophenols, and their derivatives in water using online headspace solid phase microextraction coupled with gas chromatography-mass spectrometry

A simple online headspace solid-phase microextraction (HS-SPME) coupled with the gas chromatography-mass spectrometry (GC-MS) method was developed for simultaneous determination of trace amounts of nine estrogenic odorant alkylphenols and chlorophenols and their derivatives in water samples. The extraction conditions of HS-SPME were optimized including fiber selection, extraction temperature, extraction time, and salt concentration. Results showed that divinylbenzene/Carboxen/polydimethylsiloxane (DVB/CAR/PDMS) fiber was the most appropriate one among the three selected commercial fibers, and the optimal extraction temperature, time, and salt concentration were 70 °C, 30 min, and 0.25 g/mL, respectively. The developed method was validated and showed good linearity (R ²?>?0.989), low limit of detection (LOD, 0.002–0.5 μg/L), and excellent recoveries (76–126 %) with low relative standard deviation (RSD, 0.7–12.9 %). The developed method was finally applied to two surface water samples and some of these target compounds were detected. All these detected compounds were below their odor thresholds, except for 2,4,6-TCAS and 2,4,6-TBAS wherein their concentrations were near their odor thresholds. However, in the two surface water samples, these detected compounds contributed to a certain amount of estrogenicity, which seemed to suggest that more attention should be paid to the issue of estrogenicity rather than to the odor problem.     

Increasing the recovery of heavy metal ions using two microbial fuel cells operating in parallel with no power output

The present study aimed to improve the performance of microbial fuel cells (MFCs) by using an intermittent connection period without power output. Connecting two MFCs in parallel improved the voltage output of both MFCs until the voltage stabilized. Electric energy was accumulated in two MFCs containing heavy metal ions copper, zinc, and cadmium as electron acceptors by connection in parallel for several hours. The system was then switched to discharge mode with single MFCs with a 1000-Ω resistor connected between anode and cathode. This method successfully achieved highly efficient removal of heavy metal ions. Even when the anolyte was run in sequencing batch mode, the insufficient voltage and power needed to recover heavy metals from the cathode of MFCs can be complemented by the developed method. The average removal ratio of heavy metal ions in sequencing batch mode was 67 % after 10 h. When the discharge time was 20 h, the removal ratios of zinc, copper, and cadmium were 91.5, 86.7, and 83.57 %, respectively; the average removal ratio of these ions after 20 h was only 52.1 % for the control group. Therefore, the average removal efficiency of heavy metal ions increased by 1.75 times using the electrons stored from the bacteria under the open-circuit conditions in parallel mode. Electrochemical impedance data showed that the anode had lower solution resistance and polarization resistance in the parallel stage than as a single MFC, and capacitance increased with the length of time in parallel.

     

Toward better understanding and feasibility of controlling greenhouse gas emissions from treatment of industrial wastewater with activated sludge

Wastewater treatment plants (WWTPs) have been recognized as important sources for anthropogenic greenhouse gas (GHG) emission. The objective of the study was to thoroughly investigate a typical industrial WWTP in southern Taiwan in winter and summer which possesses the emission factors close to those reported values, with the analyses of emission factors, mass fluxes, fugacity, lab-scale in situ experiments, and impact assessment. The activated sludge was the important source in winter and summer, and nitrous oxide (N₂O) was the main contributor (e.g., 57 to 91 % of total GHG emission in a unit of kg carbon dioxide-equivalent/kg chemical oxygen demand). Albeit important for the GHGs in the atmosphere, the fractional contribution of the GHG emission to the carbon or nitrogen removal in wastewater treatment was negligible (e.g., less than 1.5 %). In comparison with the sludge concentration or retention time, adjusting the aeration rate was more effective to diminish the GHG emission in the activated sludge without significantly affecting the treated water quality. When the aeration rate in the activated sludge simulation was reduced by 75 %, the mass flux of N₂O could be diminished by up to 53 % (from 9.6 to 4.5 mg/m²-day). The total emission in the WWTP (including carbon dioxide, methane, and N₂O) would decrease by 46 % (from 0.67 to 0.36 kg CO₂-equiv/kg COD). However, the more important benefit of changing the aeration rate was lowering the energy consumption in operation of the WWTP, as the fractional contribution of pumping to the total emission from the WWTP ranged from 46 to 93 % within the range of the aeration rate tested. Under the circumstance in which reducing the burden of climate change is a global campaign, the findings provide insight regarding the GHG emission from treatment of industrial wastewater and the associated impact on the treatment performance and possible mitigation strategies by operational modifications.

     

Deep learning architecture for air quality predictions

With the rapid development of urbanization and industrialization, many developing countries are suffering from heavy air pollution. Governments and citizens have expressed increasing concern regarding air pollution because it affects human health and sustainable development worldwide. Current air quality prediction methods mainly use shallow models; however, these methods produce unsatisfactory results, which inspired us to investigate methods of predicting air quality based on deep architecture models. In this paper, a novel spatiotemporal deep learning (STDL)-based air quality prediction method that inherently considers spatial and temporal correlations is proposed. A stacked autoencoder (SAE) model is used to extract inherent air quality features, and it is trained in a greedy layer-wise manner. Compared with traditional time series prediction models, our model can predict the air quality of all stations simultaneously and shows the temporal stability in all seasons. Moreover, a comparison with the spatiotemporal artificial neural network (STANN), auto regression moving average (ARMA), and support vector regression (SVR) models demonstrates that the proposed method of performing air quality predictions has a superior performance.     

Deodorization of pig manure using lignin peroxidase with different electron acceptors

Odor pollution is a big environmental problem caused by large-scale livestock production in China, and developing a practical way to reduce these odors is pressing. In this study, a combination of 0.2–1.0 U/mL lignin peroxidase (LiP) and one of three peroxides (H₂O₂, CaO₂, 2Na₃CO₃·3H₂O₂) was examined for its efficiency in reducing the release of eight chemicals (propionic acid, isobutyric acid, isocaproic acid, isovaleric acid, phenol, p-cresol, indole, and skatole), NH₃, H₂S, and odor intensity from pig manure. The results showed an approximately 90% reduction in p-cresol, 40–60% reduction in odor intensity, 16.5–40% reduction in indolic compounds, and 25–40% reduction in volatile fatty acids. Being the electron acceptors of LiP, 2Na₃CO₃·3H₂O₂ and CaO₂ performed better than H₂O₂ in reducing the concentration of eight chemicals, NH_3, H₂S, and odor intensity from pig manure. The effect of deodorization can last for up to 72 hr.

Implications: In China, one of the major environmental problems caused by confined feeding is odor pollution, which brings a major threat to the sustainability, profitability, and growth of the livestock industry. To couple the LiP with the electron acceptors, a low–cost, simple, and feasible method for odor removal was established in this study. Based on the study results, a practical treatment method was provided for odor pollution and supply the farm operators a more flexible time to dispose treated manure.     

基于铁路客运的中国城市可达性及类型研究

为探究铁路网络时空压缩效应对城市可达性的影响,基于2009年和2014年铁路列车时刻表数据,结合传统数理统计方法及空间分析方法,对中国地级以上城市可达性及其格局演变进行深入分析。结果表明:(1)铁路客运的数量和类型上均有较大变化,特别是始发列车及动车组的大幅增加及高铁的开通运行,中国城市可达性得到一定程度提升,但城市可达性改善地域差异性显著。(2)北上广三大核心城市在城市可达性等级体系中第一层级地位稳固,交通区位条件的差异使得城市可达性等级体系产生一定变化。(3)中国城市可达性绝对及相对差距均呈现出不断扩大趋势,列车停靠数量的极化效应显著、新增加的高速客运更多地向高等级中心城市集聚,铁路基础设施的建设正在重塑中国生产力格局。(4)从城市功能属性及规模属性视角,以始发列车和停靠列车中位数为临界值,将中国城市划分为高规模高功能、高规模低功能、低规模高功能、低规模低功能等4种类型,并依次分析城市分布特征及成因,为铁路客运的合理配置及交通网络优化布局提供参考。     

绵阳市代表性点位土壤多环芳烃剖面分布特征

通过挑选绵阳市有代表性的点位土壤柱,应用GC MS分析土壤柱垂直剖面中多环芳烃的含量水平,得出其垂直剖面分布特征。结果表明：5~20 cm深度中的PAHs含量最高,40 cm以下则含量锐减。由于表层（0～5 cm）土壤与大气之间的土气交换频繁,PAHs含量相对较低,而5~20 cm处土壤受到表层土壤的遮盖,PAHs富集较高,含量达到整个土壤柱最高值。多环芳烃总体垂直剖面分布特征表现出随深度增加含量减少的趋势。PAHs总含量以江油市点位(33024 ng/g)最高,其次是三台县点位(29989 ng/g),最低是游仙区点位(11274 ng/g)。研究区主要污染物为Nap、Phe和Chr/y。其中不同的土质、种植物都能影响PAHs的富集和迁移速率,导致含量在不同深度上产生变化。此外,参照有关环境质量标准,发现PAHs总量上江油市点位与三台县点位属于轻微污染、游仙区点位则属于无污染。