SBR工艺去除模拟城市污水中双酚A的研究

依次改变SBR系统(厌氧-好氧-缺氧模式)的水力停留时间(HRT)、好氧-缺氧段时间比以及污泥龄(SRT),并采用液相色谱法对系统双酚A(BPA)浓度进行了检测,从BPA去除的角度对SBR工艺进行了评估,同时对部分工艺运行参数进行了优化.结果表明,SBR工艺对BPA有较好的去除能力;在温度为20 ℃、充水比(SBR工艺1个周期中进入反应器的污水量与反应器有效容积之比)为50%的条件下,最佳的工艺运行参数为总HRT=480 min,SRT=25 d,厌氧、好氧、缺氧段HRT分别为90、150、180 min;好氧-缺氧段时间比为0.83,此时COD、TN和PO43--P的总去除率分别达到89%、69%和95%,BPA总去除率达到99%,其中厌氧、好氧、缺氧段BPA去除率分别占BPA总去除率的66%、32%和1%.BPA在上述SBR系统中的去除主要是通过厌氧段污泥吸附和好氧段的生物降解实现的.     

Experimental verification of a model describing solid phase microextraction (SPME) of freely dissolved organic pollutants in sediment porewater

To verify a theoretical mass balance and multiple compartment partitioning model developed to predict freely dissolved concentrations (FDCs) of hydrophobic organic chemicals (HOCs) using negligible depletion-solid phase microextraction (nd-SPME), a series of sediment slurry experiments were performed using disposable poly(dimethyl)siloxane (PDMS) coated-SPME fibers and (14)C-radiolabeled HOC analogs. First, pre-calibration of disposable PDMS coated fibers for four model compounds (phenanthrene, PCB 52, PCB 153 and p,p'-DDE) with good precision (PCB 52>PCB 153, and the measured and predicted C(pw) values were not substantially different from empirically determined values except for p,p'-DDE.     

Characterization of phenol degradation by high-efficiency binary mixed culture

Background, aim, and scope  

Two new high phenol-degrading strains, Micrococcus sp. and Alcaligenes faecalis JH 1013, were isolated. The two isolates could grow aerobically in mineral salts medium containing phenol as a sole carbon source at concentration of 3,000 mg L⁻¹. It was found that the binary mixed culture of the two isolates possessed good potential for phenol removal.     

Fe（Ⅱ）EDTA／H2O2电催化降解甲基橙模拟废水的研究

在无隔膜电解槽中,采用SPR（Ru—Ir—TiO2）为阳极,石墨为阴极,考察了Fe（Ⅱ）EDTA／H2O2电催化降解甲基橙（methylorange）模拟废水的影响,发现EDTA很大程度上促进了类电Fenton试剂对甲基橙模拟废水的降解。实验研究表明,在外加电压为5．0V,EDTA：Fe2＋=2：1（摩尔比,Fe2＋=40mmol／L）,H202=48mmot／L,电解质Na2SO4=40mmol／L,废水pH值为（6．5±0．1）的条件下,降解260mg／L的甲基橙模拟废水90min,EDTA的加入可以使甲基橙模拟废水的脱色率由29．5％上升到78．4％,COD由571．429mg／L降至80mg／L,COD的降解率为86％,EDTA在此过程中既是催化剂又是反应物,可有效避免EDTA带来二次环境污染的可能性。     

Anthropogenic magnetic particles and heavy metals in the road dust: Magnetic identification and its implications

Magnetic properties of road dusts in the East Lake area in Wuhan, China, were measured and compared with the results of heavy metal analyses in order to delineate the sources of pollutants. A total of ninety-seven dust samples were collected spatially from four segments with different traffic density and field settings from the roads encircling the lake. Thermomagnetic and hysteresis measurements revealed that the dominant magnetic carrier is coarse-grained magnetite. Correlations between magnetic parameters and element concentrations with traffic density and distances to the industrial region revealed that elements Cu, Ni and Fe mainly originate from vehicle traffic, which is also the major source of coarser magnetic particles (e.g., pseudo-single-domain/multi-domain (PSD/MD) grains), while element Pb and the smaller grains such as single-domain (SD) magnetic particles mainly originate from industrial emissions. The ratio between anhysteretic remanent magnetization and low-field magnetic susceptibility (ARM/χ_lf) can be employed as an indirect indicator for Cu, Fe and Ni emissions resulting from vehicle traffic. Due to the intermixture of elements from different sources, the element concentrations are not conclusive about the pollution source. A linear correlation between magnetic concentration-related parameters (e.g., ARM and saturation isothermal remanent magnetization, SIRM) and the concentrations of major elements (e.g., Cu, Co, Fe, Mn, Ni and V) suggests that they can be used as a proxy for heavy metal pollution. Road dusts in four segments show different magnetic characteristics, indicating various influxes of anthropogenic magnetic materials from vehicle traffic and industrial plants due to the different traffic loads and field settings. These results suggest that magnetic measurements can serve as an efficient complementary tool for the routinely employed geochemical methods to map the heavy metal pollution and trace the sources of pollutants in the road dust.     

Integrated bioleaching of copper metal from waste printed circuit board—a comprehensive review of approaches and challenges

Waste electrical and electronic equipment (e-waste) is the most rapidly growing waste stream in the world, and the majority of the residues are openly disposed of in developing countries. Waste printed circuit boards (WPCBs) make up the major portion of e-waste, and their informal recycling can cause environmental pollution and health risks. Furthermore, the conventional disposal and recycling techniques—mechanical treatments used to recover valuable metals, including copper—are not sustainable in the long term. Chemical leaching is rapid and efficient but causes secondary pollution. Bioleaching is a promising approach, eco-friendly and economically feasible, but it is slower process. This review considers the recycling potential of microbes and suggests an integrated bioleaching approach for Cu extraction and recovery from WPCBs. The proposed recycling system should be more effective, efficient and both technically and economically feasible.     

Spatial distribution,potential risk assessment,and source apportionment of polycyclic aromatic hydrocarbons (PAHs) in sediments of Lake Chaohu,China

Twenty-nine sediment samples were collected from Lake Chaohu, a shallow eutrophic lake in Eastern China, and were analyzed for 15 priority polycyclic aromatic hydrocarbons (PAHs) to determine the spatial distribution and exposure risks of PAHs. Three receptor models, the principal component analysis-multiple linear regression (PCA-MLR) model, the positive matrix factorization (PMF) model, and the Unmix model, were used in combination with the PAHs diagnostic ratios to investigate the potential source apportionment of PAHs. A clear gradient in the spatial distribution and the potential toxicity of PAHs was observed from west to east in the sediments of Lake Chaohu. ∑₁₅PAH concentrations and the TEQ were in the range of 80.82-30 365.01 ng g^?1 d.w. and 40.77-614.03, respectively. The highest values of the aforementioned variables were attributed to urban–industrial pollution sources in the west lake region, and the levels decreased away from the river inlets. The three different models yielded excellent correlation coefficients between the predicted and measured levels of the 15 PAH compounds. Similarly, source apportionment results were derived from the three receptor models and the PAH diagnostic ratios, suggesting that the highest contribution to the PAHs was from coal combustion and wood combustion, followed by vehicular emissions. The PMF model yielded the following contributions to the PAHs from gasoline combustion, diesel combustion, unburned petroleum emissions, and wood combustion: 34.49, 24.61, 16.11, 13.01, and 11.78 %, respectively. The PMF model produced more detailed source apportionment results for the PAHs than the PCA-MLR and Unmix models.     

初级基质对降解菌Pseudomonasputida共代谢苯扎贝特的影响

通过对3,5-二硝基水杨酸（DNS）法测定还原糖含量各影响因素的筛选,优化确定了显色时间8min,稳定时间10min,最佳波长490nm下进行吸光度测定的检测方法;分析分别以葡萄糖和麦芽糖作为外加碳源时,降解菌Pseudo—monasputidaB-31的生长情况和共代谢降解典型药物苯扎贝特（BZF）的过程。结果表明,降解菌只有在外加碳源的条件下才可正常生长,而且其在葡萄糖环境中生长得更好;拟合得到的葡萄糖、麦芽糖和BZF代谢动力学结果显示,葡萄糖对BZF去除的促进作用更为明显,同时从葡萄糖培养基中降解菌所提取的酶比活力要高于麦芽糖培养基,分析原因可能是葡萄糖所诱导的降解菌关键酶活力更强,而且还可能会产生不同的蛋白质点位。     

Toward verifying fossil fuel CO2 emissions with the CMAQ model: Motivation,model description and initial simulation

Motivated by the question of whether and how a state-of-the-art regional chemical transport model (CTM) can facilitate characterization of CO₂ spatiotemporal variability and verify CO₂ fossil-fuel emissions, we for the first time applied the Community Multiscale Air Quality (CMAQ) model to simulate CO₂. This paper presents methods, input data, and initial results for CO₂ simulation using CMAQ over the contiguous United States in October 2007. Modeling experiments have been performed to understand the roles of fossil-fuel emissions, biosphere–atmosphere exchange, and meteorology in regulating the spatial distribution of CO₂ near the surface over the contiguous United States. Three sets of net ecosystem exchange (NEE) fluxes were used as input to assess the impact of uncertainty of NEE on CO₂ concentrations simulated by CMAQ. Observational data from six tall tower sites across the country were used to evaluate model performance. In particular, at the Boulder Atmospheric Observatory (BAO), a tall tower site that receives urban emissions from Denver, CO, the CMAQ model using hourly varying, high-resolution CO₂ fossil-fuel emissions from the Vulcan inventory and CarbonTracker optimized NEE reproduced the observed diurnal profile of CO₂ reasonably well but with a low bias in the early morning. The spatial distribution of CO₂ was found to correlate with NOx, SO₂, and CO, because of their similar fossil-fuel emission sources and common transport processes. These initial results from CMAQ demonstrate the potential of using a regional CTM to help interpret CO₂ observations and understand CO₂ variability in space and time. The ability to simulate a full suite of air pollutants in CMAQ will also facilitate investigations of their use as tracers for CO₂ source attribution. This work serves as a proof of concept and the foundation for more comprehensive examinations of CO₂ spatiotemporal variability and various uncertainties in the future.

Implications: Atmospheric CO₂ has long been modeled and studied on continental to global scales to understand the global carbon cycle. This work demonstrates the potential of modeling and studying CO₂ variability at fine spatiotemporal scales with CMAQ, which has been applied extensively, to study traditionally regulated air pollutants. The abundant observational records of these air pollutants and successful experience in studying and reducing their emissions may be useful for verifying CO₂ emissions. Although there remains much more to further investigate, this work opens up a discussion on whether and how to study CO₂ as an air pollutant.     

生态脆弱区自然资本可持续利用及驱动机制--以宁夏为例

自然资本的分类测度和分区管理是可持续发展领域的核心议题。文章基于改进后的三维生态足迹模型,分析了2008—2017年宁夏及其各地级市自然资本利用的时空演变特征,并运用偏最小二乘法揭示了自然资本利用演变的驱动机制,旨在为生态脆弱区自然资本的可持续利用、社会经济的协调发展和生态文明建设提供参考。结果显示:①10年来宁夏人均生态足迹以年均5.01%的速率从3.146 hm²增至4.564 hm²,人均生态承载力相对稳定,人均生态赤字由2.462 hm²扩大至3.839 hm²,自然资本的供需矛盾愈加尖锐;市域尺度上,除固原市外其他各市生态赤字明显,总体上呈由南向北递增趋势。②足迹深度和足迹广度表明流量资本已无法满足需求,对存量资本的消耗成为社会经济发展的常态;市域尺度上,足迹深度呈“北高南低”的分布特征,而足迹广度的空间分布与其相反,二者存在显著的地域互补性。③从地类组分构成来看,林地、草地和水域是全区存量资本消耗的主要方式,耕地尚处于流量资本占用状态,建筑用地已过渡为存量资本;市域尺度上,自然资本利用的可持续性呈“南强北弱”格局,各地类间自然资本利用差异显著。④偏最小二乘回归模型揭示能源消耗、社会消费、经济发展和资源禀赋条件是影响宁夏自然资本利用的显著因素,而人口规模、对外贸易、生态建设、科技进步和产业结构演化对自然资本利用的影响程度较轻;市域尺度上自然资本利用的驱动力差异显著。最后,基于自然资本利用空间分异特征,从供需视角提出了自然资本可持续利用的对策建议和优化路径。