南京企业雨排和清下水排口排放现状及对策研究

对南京典型工业企业雨排及清下水排口水质排放情况进行监测分析,摸清排放现状,分析成因.并提出对策和建议,要求环境管理部门加强对工业企业雨污分流的监管,各地方可以根据实际情况制定相应的地方标准.以南京为例,加大对工业企业雨排和清下水排口的监测管理力度,把工业企业雨排和清下水排口纳入正常的监测计划,对出现超标以及雨排或清下水排口排放量超过40吨/天的工业企业应安装污染源在线监控系统.最终倒逼企业加强环境管理,减少对外环境的影响.     

Biogenic palladium prepared by activated sludge microbes for the hexavalent chromium catalytic reduction: Impact of relative biomass

• Pd nanoparticles could be reduced and supported by activated sludge microbes. • The effect of biomass on Pd adsorption by microbes is greater than Pd reduction. • More biomass reduces Pd particle size, which is more dispersed on the cell surface. • When the biomass/Pd add to 6, the catalytic reduction rate of Cr(VI) reaches stable. Palladium, a kind of platinum group metal, owns catalytic capacity for a variety of hydrogenations. In this study, Pd nanoparticles (PdNPs) were generated through enzymatic recovery by microbes of activated sludge at various biomass/Pd, and further used for the Cr(VI) reduction. The results show that biomass had a strong adsorption capacity for Pd(II), which was 17.25 mg Pd/g sludge. The XRD and TEM-EDX results confirmed the existence of PdNPs associated with microbes (bio-Pd). The increase of biomass had little effect on the reduction rate of Pd(II), but it could cause decreasing particle size and shifting location of Pd(0) with the better dispersion degree on the cell surface. In the Cr(VI) reduction experiments, Cr(VI) was first adsorbed on bio-Pd with hydrogen and then reduced using active hydrogen as electron donor. Biomass improved the catalytic activity of PdNPs. When the biomass/Pd (w/w) ratio increased to six or higher, Cr(VI) reduction achieved maximum rate that 50 mg/L of Cr(VI) could be rapidly reduced in one minute.     

钢渣吸附-微波降解法处理碱性品红废水

研究了钢渣对碱性品红染料的吸附性能、影响因素以及微波对吸附在钢渣-焦炭上的染料的降解作用。实验表明,在中性条件下,钢渣对碱性品红具有优良的吸附性能,饱和吸附量可达到42．4mg／g。以钢渣处理质量浓度为100mg/L的碱性品红溶液,当固液质量比为1：50、振荡吸附1h后,染料溶液脱色率达97％。实验还表明,焦炭可吸收微波产生高温,用钢渣-焦炭混合物（质量比1：1）吸附染料后,以微波辐照可使物料达到665℃的高温,吸附的染料降解。吸附剂再生后重复使用4次,脱色率都达到95％以上。     

钢渣预处理含铬废水及其废渣与铬渣的固化

用钢渣对含铬废水进行预处理,探讨了钢渣粒度、用量、废水pH值和添加硫酸亚铁还原剂的影响.结果表明,经硫酸亚铁还原处理后再用钢渣处理比单纯用钢渣处理的效果明显提高,采用钢渣/总铬质量比为40的100目钢渣处理经硫酸亚铁还原后的含铬废水,总铬和Cr6 去除率分别达79%和84%,采用钢渣柱进行的两级淋滤实验进一步表明该方法可作为工业上含铬废水处理的预处理段.处理后的废钢渣同工业铬渣一起进行水泥固化,标准养护20 d后固化体表面Cr6 浸出率、破碎至5 mm粒径以下和酸雨淋溶下的浸出液Cr6 浓度均符合安全标准,可作为普通建材或进行填埋处置.     

利用人工湿地系统深度处理城市污水尾水

利用垂直复合流模拟人工湿地系统对城市污水厂尾水进行深度处理实验研究,植物床选用美人蕉、菖蒲、茭草、芋头和象草混合栽种,采用石英砂为主体填料。实验研究表明:人工湿地系统在停留时间为24h,水力负荷为0.4m3(m2·d)的运行条件处理效果较佳,在此条件下连续稳定运行10个月,处理后的尾水主要指标达到(GBT189212002)标准。     

Analysis of metabolic changes in Trichoderma asperellum TJ01 at different fermentation time-points by LC-QQQ-MS

Trichoderma spp. are among the most widely recognized biocontrol fungi used to inhibit pathogens and promote plant growth. These functions are related to primary and secondary metabolites. This study investigated the different metabolites in Trichoderma asperellum TJ01 cultured for 24 and 72?h using liquid chromatography with triple-quadrupole mass spectrometry. Compared to the 24?h culture of T. asperellum TJ01, the 72?h culture with amino acid metabolism tended to decrease while sugar and lipid metabolisms tended to increase. Furthermore, the 72?h culture had a higher proportion of upregulated flavonoids, in combination with a higher proportion of downregulated alkaloids, and equal proportions of upregulated and downregulated polyphenols and hormones. This study also identified a few valuable medicinal substances such as trigonelline and 5-hydroxytryptophan in T. asperellum TJ01 fermentation cultures.     

模拟可见光下土壤表面石油的光化学降解研究

在模拟可见光照射下,分析了土壤中的初始含油量、土壤类型和土壤pH值对石油在土壤表面光降解过程的影响,并利用紫外-可见分光光度法(UV-Vis)、气相色谱-氢火焰离子化检测器(GC-FID)和傅立叶红外光谱(FTIR)等方法对石油在光降解过程中的演变规律进行研究.结果表明,石油在土壤表面上的光化学降解行为符合准一级反应动力学,实验测得石油的光解速率常数为0.002 6～0.017 2 h^-1,半衰期为40～267 h.GC-FID分析结果表明,在光降解50 h后,石油的饱和烃组分中高碳数的烷烃相对含量降低,低碳数的烷烃相对含量提高;芳香烃组分的大部分色谱峰有明显地降低或消失.红外光谱分析发现,光照60 h后土壤萃取液中可能产生了羰基类化合物,说明石油在光降解过程中逐渐发生氧化.     

The key elements analysis of Guangdong & Shenzhen ETS & tips for China national ETS construction

The only joint effort area of provincial and municipal governments resides in Guangdong Province and Shenzhen City in China’s carbon emission trading system (ETS) pilots, which characterize the national carbon ETS plots. The present study on the operating experience from this area has important reference value for the national carbon ETS. Analysis and comparison of the key elements show many differences in coverage, total allowance, allowance allocation, and MRV mechanism between Guangdong and Shenzhen carbon ETS. The present study provides the following explanation: (1) the design characteristics of carbon ETS (e.g. coverage, total quotas, the allocation, and MRV mechanism) depend on the local geographical conditions and policy goals. The differences of economic structure in Guangdong Province and Shenzhen City result in different coverage, which then result in differences in other management elements. (2) The operating state of the carbon market is affected by overall design of carbon ETS: in the case of tighter total allowance, lower proportion of China Certified Emission Reductions, and harsher punishment, the carbon market is relatively active, which intends to produce carbon financial market. Based on deep analysis of operation characteristics of carbon ETS in Guangdong and Shenzhen, the present study suggests that (1) the allowance should be allocated freely at the beginning stage and then gradually transited to the voluntary paid auction; (2) the allowances assigned to companies shall be linked up with their energy-saving objectives; (3) the output fluctuations and economic influence on the allowance allocation should be properly handled to maintain the fairness and consistence of allowance allocation standards; (4) stable public expectation is one of the key elements to maintain the regular operation of carbon ETS; (5) constrained carbon emission behavior outside ETS can contribute to social justice; and (6) the improvement of professional skills of relevant personnel in the enterprise and independent third party can enhance carbon emissions data reliability.     

Detection of DDT and its metabolites in two estuaries of South China using a SPME-based device: First report of p,p′-DDMU in water column

A solid-phase microextration-based sampling method was employed to determine the concentrations of 1,1,1-trichloro-2,2-bis(p-chlorophenyl)ethane (DDT) and its metabolites, 1,1-dichloro-2,2-bis(p-chlorophenyl)ethane (DDD), 1,1-dichloro-2,2-bis(p-chlorophenyl)ethene (DDE) and 1-chloro-2,2-bis(p-chlorophenyl)ethene (DDMU), in two estuarine bays, Daya Bay and Hailing Bay, of South China. Six DDT components including p,p′-DDT, o,p′-DDD, p,p′-DDD, o,p′-DDE, p,p′-DDE, and p,p′-DDMU were detected in Hailing Bay, while only p,p′-DDD was found in Daya Bay. p,p′-DDD was the most abundant DDT component in both bays, sharply different from the previous finding in the water column of the Palos Verdes Shelf, California, USA that p,p′-DDE was prevalent. In addition, the occurrence of p,p′-DDMU (with a range of 0.047-0.21 ng/L in Hailing Bay) has not been reported around the globe, and its presence in our study region appeared to stem from dehydrochlorination of p,p′-DDD, favored under aerobic conditions, but further investigations are clearly needed to confirm the mechanism for generation of DDMU in estuarine environments.     

A validated 2-D diffusion–advection model for prediction of drift from ground boom sprayers

Correct field drift prediction is a key element in environmental risk assessment of spraying applications. A reduced order drift prediction model based on the diffusion–advection equation is presented. It allows fast assessment of the drift potential of specific ground boom applications under specific environmental wind conditions that obey the logarithmic wind profile. The model was calibrated based on simulations with a validated Computational Fluid Dynamics (CFD) model. Validation of both models against 38 carefully conducted field experiments is successfully performed for distances up to 20 m from the field edge, for spraying on flat pasture land. The reduced order model succeeded in correct drift predictions for different nozzle types, wind velocities, boom heights and spray pressures. It used 4 parameters representing the physical aspects of the drift cloud; the height of the cloud at the field edge, the mass flux crossing the field edge, the settling velocity of the droplets and the turbulence. For the parameter set and range considered, it is demonstrated for the first time that the effect of the droplet diameter distribution of the different nozzle types on the amount of deposition spray drift can be evaluated by a single parameter, i.e., the volume fraction of droplets with a diameter smaller than 191 μm. The reduced order model can be solved more than 4 orders of magnitude faster than the comprehensive CFD model.