气溶胶中正构烷烃单体化合物稳定碳同位素分布特征初步研究

不同来源的气溶胶中正构烷烃稳定碳同位素的分布特征有比较明显的区别,以低陆生植物为主的高原清洁区,其气溶胶中正构烷烃δ＾１３Ｃ较轻,随碳数的增加,δ＾１３Ｃ较平平缓的曲线,以高等植物为主的海滨清洁区,正构烷烃δ＾１３Ｃ分布亦为较平缓的英线,但δ＾１３Ｃ较前者稍重,为－２８‰－－２７‰;人为污染严重的城市区,气溶胶正构烷烃δ＾１３Ｃ为－２９‰－－２５‰,且随碳数的增加有较大的变化。     

化学解耦联剂对活性污泥工艺中污泥产率的影响

采用3,3′,4′,5-四氯水杨酰苯胺(TCS)作为代谢解耦联剂添加到活性污泥工艺中,连续曝气分批培养实验结果表明,TCS在浓度高于1.0mg/L时是一种有效的化学解耦联剂,能显著地降低污泥产率.当TCS浓度为6.0mg/L时,污泥产率可降低约50%.在40d的运行期间,隔天分别在3个反应器中添加TCS 2.0、2.8和3.6mg/L,基质的去除能力和出水氨氮及总氮浓度均未受影响,污泥的SOUR值和脱氢酶活性相应增加,污泥的沉降性能也未见有明显影响.镜检发现,对照反应器中的污泥经40d运行后仍有丝状菌存在,而添加解耦联剂反应器中的污泥几乎无丝状菌的存在.以上结果表明,可以应用TCS来降低活性污泥工艺中的剩余污泥产量.     

Numerical model to quantify biogenic volatile organic compound emissions: The Pearl River Delta region as a case study

This article compiles the actual knowledge of the biogenic volatile organic compound (BVOC) emissions estimated using model methods in the Pearl River Delta (PRD) region, one of the most developed regions in China. The developed history of BVOC emission models is presented briefly and three typical emission models are introduced and compared. The results from local studies related to BVOC emissions have been summarized. Based on this analysis, it is recommended that local researchers conduct BVOC emission studies systematically, from the assessment of model inputs, to compiling regional emission inventories to quantifying the uncertainties and evaluating the model results. Beyond that, more basic researches should be conducted in the future to close the gaps in knowledge on BVOC emission mechanisms, to develop the emission models and to refine the inventory results. This paper can provide a perspective on these aspects in the broad field of research associated with BVOC emissions in the PRD region.     

北京10个常绿树种颗粒物吸附能力研究

大气中颗粒物PM(particulate matter)不仅造成环境污染,还对人体造成严重的危害.城市绿色植物作为大气过滤器,能够有效地提高城市空气质量,保护人体健康.因此了解不同树种对空气颗粒物的吸附滞纳作用是必要的.以北京植物园10种常绿植被为研究对象,应用空气气溶胶再发生器(QRJZFSQ-I)测定了北京市常见6种乔木和4种灌木叶片对空气总悬浮颗粒物(TSP)、PM10、PM2.5和PM1.0的吸附能力.结果表明:1不同树种叶片表面附着颗粒物的能力差异明显,最高的是雪松(Cedrus deodara)和油松(Pinus tabuliformis),吸附量分别是(18.95±0.71)μg·cm-2和(14.61±0.78)μg·cm-2,冷杉(Abies fabri)最小,为(8.02±0.4)μg·cm-2;2不同树种叶片单位面积对不同颗粒物的附着能力也存在差异,附着PM10能力最强的是油松和雪松,附着PM2.5能力最强的是雪松、铺地柏(Juniperus procumbens)、龙柏(Juniperus chinensis cv.kaizuka)和油松,附着PM1.0能力最强的是雪松、铺地柏、冷杉和油松;3不同月份叶片上附着的各粒级颗粒物(PM10、PM2.5)占TSP的比例不同.其中PM10在4~6月之间主要表现两种变化趋势,一是先上升后下降,主要为灌木树种;二是逐渐上升,主要的树种是乔木树种.而PM2.5则没有这种明显的变化趋势.     

Low-carbon transition of iron and steel industry in China: Carbon intensity, economic growth and policy intervention

As the biggest iron and steel producer in the world and one of the highest CO₂ emission sectors, China's iron and steel industry is undergoing a low-carbon transition accompanied by remarkable technological progress and investment adjustment, in response to the macroeconomic climate and policy intervention. Many drivers of the CO₂ emissions of the iron and steel industry have been explored, but the relationships between CO₂ abatement, investment and technological expenditure, and their connections with the economic growth and governmental policies in China, have not been conjointly and empirically examined. We proposed a concise conceptual model and an econometric model to investigate this crucial question. The results of regression, Granger causality test and impulse response analysis indicated that technological expenditure can significantly reduce CO₂ emissions, and that investment expansion showed a negative impact on CO₂ emission reduction. It was also argued with empirical evidence that a good economic situation favored CO₂ abatement in China's iron and steel industry, while achieving CO₂ emission reduction in this industrial sector did not necessarily threaten economic growth. This shed light on the dispute over balancing emission cutting and economic growth. Regarding the policy aspects, the year 2000 was found to be an important turning point for policy evolution and the development of the iron and steel industry in China. The subsequent command and control policies had a significant, positive effect on CO₂ abatement.     

废弃电子塑料在超临界异丙醇中的液化特性

研究了废弃含溴化阻燃剂的电子塑料在超临界异丙醇中的液化特性.研究结果表明塑料在超临界异丙醇中发生了解聚,产生油、气以及固体残渣,塑料中的溴化阻燃剂发生了脱溴降解.反应时间、固/液比、溶剂填充度对塑料解聚及阻燃剂脱溴降解影响较大,在最佳工艺条件(温度:400℃,反应时间:60min,固/液比:1/10,溶剂填充度:50%)下获得60%的产油率及95.3%的脱溴率.油以苯系物及酚类物质为主要组成物质,其热值为37.5MJ/kg.超临界异丙醇处理含溴化阻燃剂塑料主要包括溴化阻燃剂的萃取、脱溴降解和塑料高温解聚等过程.     

区域水环境污染预警系统的建立

深入分析水环境污染预警系统的目的，结构，实现以及各子系统的耦合，提出区域水环境污染预警系统应由区域内多个主要预警中心组成，每个预警中心包括通讯子系统，技术支持子系统，应急风险分析和决策支持子系统等。区域水环境污染预警系统的实现由实时处理和离线处理2个部分组成，前者包括现场流量，蒸发，降雨实时信息的收集，数据的传递和接收，预警模型计算和输出，决策管理，后者包括历史数据和区域特征输入，预警模式选择；参数率定等。目前建立预警系统面临的主要困难在于实时信息的获取和系统不确定性分析方法，相应地，对系统的持续改进也就是要加强信息交流，提高模型的识别能力，扩展系统的评价与决策功能等。     

天津市中心城区集中供应管网末梢水的抗生素耐药基因污染特征研究

为了研究天津市中心城区集中供应管网末梢水的抗生素耐药基因(antibiotic resistance genes,ARGs)污染特征,采集了天津市中心城区6个采样点的管网末梢水样,分别采用微孔滤膜正压过滤法及核酸吸附-洗脱法富集水中细菌和胞外核酸后,利用实时定量PCR技术对15种胞内ARGs和胞外ARGs进行定量检测....     

Toxicity of urban highway runoff in Shanghai to Zebrafish (Danio rerio) embryos and luminous bacteria (Vibrio qinghaiensis.Q67)

Pollution from urban highway runoff has been identified as one of the major causes of the deterioration of receiving water quality. The purpose of this study is to assess the toxicity of urban storm water samples in Shanghai using the zebrafish (Danio rerio) embryo test and the bacterial luminescence (Vibrio qinghaiensis) assay. The toxicity of highway runoff from seventeen storm events was investigated in both grab and composite samples. Zebrafish embryos were exposed to the runoff samples and development parameters including lethality, spontaneous movements in 20 s, heart beat rate, hatching rate, and abnormality of zebrafish embryos were observed after 24, 48, 72, and 96 h of exposure. Inhibition rates of luminescence intensity were also recorded. The results showed that in the zebrafish embryo toxicity tests, both grab and composite samples increased the lethality, reduced the percentage with spontaneous movements and heart beats, inhibited the hatching of embryos, and induced morphological abnormalities. In the Vibrio qinghaiensis toxicity test, all the grab samples inhibited the luminescence, while some of the composite samples promoted it, which indicated that different types of toxicants might have been affecting the species. The multivariate statistics analysis indicated that heavy metal (zinc, manganese, and copper) and PAHs might mainly contribute to the toxicity of runoff samples.     

Soil C and N models that integrate microbial diversity

Industrial agriculture is yearly responsible for the loss of 55–100 Pg of historical soil carbon and 9.9 Tg of reactive nitrogen worldwide. Therefore, management practices should be adapted to preserve ecological processes and reduce inputs and environmental impacts. In particular, the management of soil organic matter (SOM) is a key factor influencing C and N cycles. Soil microorganisms play a central role in SOM dynamics. For instance, microbial diversity may explain up to 77 % of carbon mineralisation activities. However, soil microbial diversity is actually rarely taken into account in models of C and N dynamics. Here, we review the influence of microbial diversity on C and N dynamics, and the integration of microbial diversity in soil C and N models. We found that a gain of microbial richness and evenness enhances soil C and N dynamics on the average, though the improvement of C and N dynamics depends on the composition of microbial community. We reviewed 50 models integrating soil microbial diversity. More than 90 % of models integrate microbial diversity with discrete compartments representing conceptual functional groups (64 %) or identified taxonomic groups interacting in a food web (28 %). Half of the models have not been tested against an empirical dataset while the other half mainly consider fixed parameters. This is due to the difficulty to link taxonomic and functional diversity.