实验室率定法测算长江南通段污染物降解系数

污染物降解系数是确定水环境容量的关键参数之一,本文采用实验室率定法,采集长江南通段的水样,分别于6℃、10℃、16℃、20℃室温下,在实验室内进行周期为20天的室内水质分析,根据室内水质分析结果,测算出不同温度下长江南通段"十二五"减排的约束性指标化学需氧量、氨氮的降解系数,并定性分析了长江水体中污染物本底浓度、可生化性、pH值等环境因子对污染物降解系数可能发生的影响。     

重庆天然气净化总厂污染减排管理及措施建议

文章就重庆天然气净化总厂近年来围绕可持续发展战略,针对净化总厂主要污染物废水、废气、固体废物,在工程技术改造、提高管理等方面所采取的污染减排措施和取得的成效进行归纳总结;并对净化总厂进一步的污染减排工作进行分析,提出切实可行的污染减排对策建议。     

两株耐铅镉真菌对土壤中铅镉赋存形态及小白菜吸收积累的影响

通过土培试验,研究接种耐铅镉真菌(产黄头孢霉Cephalosporium chrysogenum和头孢霉Cephalosporium SP.)对灭菌和未灭菌铅镉污染土壤上小白菜生长及铅镉赋存形态的影响.试验结果表明:接种两种耐重金属真菌可以降低或显著降低土壤中交换态铅镉、碳酸盐结合态铅镉和铁锰结合态铅镉,且显著增加土壤中有机结合态铅镉,因此降低了土壤中铅镉的活性;在灭菌和未灭菌铅镉污染土壤上接种两种真菌均能增加或显著增加小白菜的株高和鲜重,其中在未灭土壤中接种产黄头孢霉20 mL小白菜鲜重和株高最大,分别达到6.00 cm和3.22 g·株~(-1),在灭菌土壤上接种产黄头胞霉10 m L小白菜株高和鲜重最大,分别为10.66 cm和11.07 g·株~(-1);接种两种真菌可以显著降低未灭菌土壤上小白菜体内铅镉含量和累积量,在灭菌土壤上接种10 mL产黄头孢霉可以显著降低小白菜铅含量和累积量.     

冀西北黄土丘陵沟壑区梯田地埂植物篱的固埂作用与效益分析

经对张家口地区梯田地埂植物篱的研究表明 ,其固埂作用非常显著 ,且能够改善土壤的理化性状及水分状况 ,有效地拦蓄地表径流及泥沙 ,提高作物产量 ,具有明显的经济效益 ,在当地具有很广泛的推广应用价值     

Low-temperature CO oxidation over Au-doped 13X-type zeolite catalysts: preparation and catalytic activity

Au-supported 13X-type zeolite (Au/13X) was synthesized using a common deposition–precipitation (DP) method with a solution of sodium carbonate as a precipitate agent. Further testing was conducted to test for catalytic oxidation of CO. A study was conducted on the effects of different preparation conditions (i.e., chloroauric acid concentration, solution temperature, pH of solution, and calcinations temperature) on Au/13X for CO oxidation. In respect to the catalytic activity, the relationship between different the preparation conditions and gold particles in 13X zeolite was analyzed using X-ray diffraction, TEM and XPS. The activity of Au/13X catalysts in CO oxidation was dependent on the chloroauric acid concentration. From XRD results, a higher chloroauric acid concentration induced larger gold nanoparticles, which resulted in lower catalytic activity. Results revealed that higher temperatures induced higher Au loading, homogeneous deposit, and smaller gold clusters on the support of 13X, resulting in higher CO activity. Furthermore, a pH of 5 or 6 generated greater amounts of Au loading and smaller Au particles on 13X than at a pH of 8 or 9. This may be a result of an effective exchange between Au(OH)2Cl2- and Au(OH)₃Cl^- on specific surface sites of zeolite under the pH’s 5 and 6. The sample calcined at 300°C showed the highest activity, which may be due to the sample’s calcined at 200°C inability to decompose completely to metallic gold while the sample calcined at 400°C had larger particles of gold deposited on the support. It can be concluded from this study that Au/13X prepared from a gold solution with an initial chloroauric acid solution concentration of 1.5 × 10^-3 mol·L^-1 gold solution pH of 6, solution temperature of around 90°C, and a calcination temperature of 300°C provides optimum catalytic activity for CO oxidation.     

Influence of filtration velocity on DON variation in BAF for micropolluted surface water treatment

Biological aerated filters (BAFs) are widely used for the treatment of micropolluted surface water. However, the biological process produces dissolved organic nitrogen (DON), which, as precursors of nitrogenous disinfection by-products, pose potential threats to drinking water safety. Therefore, to control DON in BAF effluent, it is necessary to study the influence of BAF operation parameters on DON production. In this study, the influence of filtration velocity in a BAF on DON production was investigated. Under different filtration velocity (0.5, 2, and 4 m/h) conditions, profiles of DON concentrations along the media layer were measured. The profile at a filtration velocity of 0.5 m/h showed a decreasing trend, and the ones under filtration velocities of 2 and 4 m/h fluctuated in a small range (from 0.1 to 0.4 mg/L). Moreover, the relatively high filtration velocities of 2 and 4 m/h resulted in a lower level of DON concentration. Additionally, 3D excitation-emission matrix fluorescence spectroscopy was used to characterize DON. It is found that the patterns of DON at a relatively high filtration velocity condition (4 m/h) were obviously different from the ones under low filtration velocity conditions (0.5 and 2 m/h).     

Estimating and comparing greenhouse gas emissions with their uncertainties using different methods: A case study for an energy supply utility

Energy supply utilities release significant amounts of greenhouse gases (GHGs) into the atmosphere. It is essential to accurately estimate GHG emissions with their uncertainties, for reducing GHG emissions and mitigating climate change. GHG emissions can be calculated by an activity-based method (i.e., fuel consumption) and continuous emission measurement (CEM). In this study, GHG emissions such as CO₂, CH₄, and N₂O are estimated for a heat generation utility, which uses bituminous coal as fuel, by applying both the activity-based method and CEM. CO₂ emissions by the activity-based method are 12–19% less than that by the CEM, while N₂O and CH₄ emissions by the activity-based method are two orders of magnitude and 60% less than those by the CEM, respectively. Comparing GHG emissions (as CO₂ equivalent) from both methods, total GHG emissions by the activity-based methods are 12–27% lower than that by the CEM, as CO₂ and N₂O emissions are lower than those by the CEM. Results from uncertainty estimation show that uncertainties in the GHG emissions by the activity-based methods range from 3.4% to about 20%, from 67% to 900%, and from about 70% to about 200% for CO₂, N₂O, and CH₄, respectively, while uncertainties in the GHG emissions by the CEM range from 4% to 4.5%. For the activity-based methods, an uncertainty in the Intergovernmental Panel on Climate Change (IPCC) default net calorific value (NCV) is the major uncertainty contributor to CO₂ emissions, while an uncertainty in the IPCC default emission factor is the major uncertainty contributor to CH₄ and N₂O emissions. For the CEM, an uncertainty in volumetric flow measurement, especially for the distribution of the volumetric flow rate in a stack, is the major uncertainty contributor to all GHG emissions, while uncertainties in concentration measurements contribute a little to uncertainties in the GHG emissions.

Implications:Energy supply utilities contribute a significant portion of the global greenhouse gas (GHG) emissions. It is important to accurately estimate GHG emissions with their uncertainties for reducing GHG emissions and mitigating climate change. GHG emissions can be estimated by an activity-based method and by continuous emission measurement (CEM), yet little study has been done to calculate GHG emissions with uncertainty analysis. This study estimates GHG emissions and their uncertainties, and also identifies major uncertainty contributors for each method.     

Carbonaceous species in fine particles at the background sites in Korea between 1994 and 1999

Organic carbon (OC) and elemental carbon (EC) in fine particles (PM_2.5) at two background sites, Kosan and Kangwha in Korea were measured during intensive field studies between 1994 and 1999. Fine particles were collected on pre-fired quartz filters in a low-volume sampler and analyzed using the selective thermal oxidation method with MnO₂ catalyst. The OC and EC concentrations at Kosan located at western tip of Cheju Island in southern Korea are lower than those at Kangwha located at western coastal area in mid-Korean peninsula. Still, the OC concentrations at Kosan are generally higher than those at other background areas in Japan and USA. The EC concentrations at Kosan are lower than or comparable to those at other background areas. The total carbon (TC, sum of OC and EC) to EC ratio values at both sites were higher than those at other background areas in Japan and USA. At Kosan, the OC and EC concentrations when air parcels were from southern China were higher than those when air parcels were coming from northern China. However, at Kangwha, the differences were statistically not clear since most air parcels were from northern China. Except when air parcels were from the North Pacific during summer, the OC and EC concentrations are well correlated indicating that both OC and EC share the same emission/transport characteristics. From the gaseous hydrocarbon data and the OC and EC relationship, it was found that during summer local biogenic emissions of OC might be significant at Kosan.     

3种基质材料对高浓度养殖废水处理效果及降解过程

养殖场直排废水负荷高,易造成湿地植物无法生长、处理效率低等问题.为使养殖废水通过前端生态治理技术,出水达到湿地植物耐受范围,探索高效利用作物秸秆,降低污染负荷的可行性,开展野外控制实验,对比分析了三大粮食作物秸秆——麦秸、稻草和玉米秆对猪场废水N、P的吸附去除效率.三级基质池各填充12. 5 kg干秸秆,设定连续式进水,水力停留时间7 d.结果表明,在进水COD、TN、NH_4~+-N、NO_3~--N和TP平均质量浓度分别为1 652. 83、371. 31、303. 51、0. 67和65. 22 mg·L~(-1)时,麦秸对COD、TN和TP的去除效果最好,去除率分别为32. 1%、40. 9%和33. 3%,稻草对NH_4~+-N的去除效果最好,去除率达到43. 4%.经180 d处理后3种基质材料木质素、纤维素和半纤维素均未完全分解.各种基质材料木质素降解速率低于纤维素与半纤维素,且稻草中木质素和纤维素降解最快,麦秆中半纤维素降解最快.结果表明,麦秆和稻草对去除高浓度养殖废水污染物效果均好于玉米秆,并且建议基质材料更换周期为5个月,可为生物基质材料运用于养殖废水处理提供数据支撑.     

环境外部不经济性内部化手段的评价与筛选

分析环境外部不经济性产生的根本原因,提出环境外部不经济性内在化手段的评价指标,并据此对国内外常环境外部不经济性内化手段作系统评价,评价结果表明,排污收费制度是当前最合理的环境外部不经济性内的在化手段。