苦土和氧化镁处理氮磷废水的对比研究

分别采用苦土、纯氧化镁为沉淀剂对模拟高浓度氮磷废水(N/P=0.8)进行了脱氮除磷研究,比较了沉淀剂投加量、pH对2种沉淀剂处理氮磷废水的影响,对沉淀产物进行XRD分析,并进行了经济效益比较。结果表明,pH是影响2种沉淀剂处理氮磷废水的主要因素,随着pH的增加,脱氮除磷效果提高,在平衡pH为9～10之间时氮磷处理效果最佳,pH继续增加,由于磷酸镁沉淀的形成使得氨氮去除率降低。此外,处理相同的废水,苦土的最佳投加量要大于纯氧化镁,但是经济效益比较结果表明,以苦土为沉淀剂处理氮磷废水可大大降低处理成本。     

某生活垃圾卫生填埋场渗滤液的梯度分离与表征

目前,渗滤液中污染物的粒度分布及其在渗滤液污染控制中的作用日益受到关注。通过系列微滤膜(1.2μm及0.45μm)对某生活垃圾卫生填埋场渗滤液各处理单元的渗滤液进行梯度分离,发现悬浮物对COD、浊度的影响较大;COD主要在胶体态和可溶解态间分配,不同渗滤液中的分配情况不同;磷主要与胶体、悬浮物以各种形式结合而存在;细胶粒和溶解态等小分子对TN的贡献大;不同粒度物质对pH的影响不明显;总残渣在可溶态组分中所占比例较大。膜微滤处理渗滤液可以有效的去除一部分物质,使COD、TP、TN、浊度、电导率都有不同程度的降低,pH逐渐升高,但对总N、残渣的去除效果不好。     

简单芽孢杆菌产高效微生物絮凝剂

通过从绿化植物根际土壤和污水处理厂的活性污泥中分离筛选絮凝剂产生菌,得到一株稳定高效的微生物絮凝剂产生菌PS1,根据形态学特征、生理生化实验以及16S rDNA序列分析将其鉴定为简单芽孢杆菌(Bacillus simplex)。对菌株PS1产生絮凝剂的最佳培养时间、絮凝活性分布以及pH、CaCl2、絮凝剂投量对絮凝效果的影响进行了研究,并考察了其对实际废水的絮凝效果。结果表明,菌株PS1产絮凝剂的最佳培养时间为36 h,产生的絮凝活性物质全部存在于发酵液离心后的上清液中;当pH为7.0～8.5、CaC12投量为0.25～0.35 g/L、发酵液投加量的体积分数为1.5%～2.5%时,菌株PS1发酵液对4 g/L的高岭土悬浊液的絮凝效果最佳,絮凝率达到97%。菌株PS1所产絮凝剂对城市污水、啤酒废水、淀粉废水、医院废水的絮凝率可达90%以上。     

单级与二级BAF工艺除碳硝化效能的对比研究

在总曝气量、HRT、水温、进水水质相同的条件下,对比研究了单级(BAF C/N)和二级曝气生物液池(BAF C+N)处理生活污水的除碳硝化效能。结果表明,将除碳和硝化分级有利于提高BAF工艺的处理效能。分级后,C柱较C/N柱具有更高的COD去除容积负荷,且出水COD浓度稳定低于50 mg/L;二级BAF工艺出水NH4+-N浓度由单级BAF的5～12 mg/L降至5 mg/L以下,且N柱在pH<6.3时依然能够进行硝化;N柱中下部具有较高的微生物活性,平均比耗氧速率为32 mg O2/(g VAS·h)。二级BAF中C柱的反冲洗周期和强度与单级BAF相同,而N柱的反冲洗周期则延长至5～7 d,能够降低反冲洗能耗和用水量。     

凹凸棒石粘土固定辣根过氧化物酶处理含酚废水

采用凹凸棒石粘土、可溶性淀粉和工业水玻璃作为制备凹凸棒石粘土基颗粒的材料,并将制备的凹凸棒石粘土基颗粒进行改性,得到了改性后的凹凸棒石基多孔材料,并将其作为固定辣根过氧化物酶的载体,再应用于含酚废水的处理研究,取得了良好的效果。实验结果表明,辣根过氧化物酶的最佳固定化条件为:单位酶活载体量1 mg、固定化时间1.5小时、固定pH值5。并且在固定化酶循环使用6次后,苯酚去除率仍能达到62.3%。     

Distribution of PAHs and trace metals in urban stormwater sediments: combination of density fractionation,mineralogy and microanalysis

Sediment management from stormwater infiltration basins represents a real environmental and economic issue for stakeholders due to the pollution load and important tonnages of these by-products. To reduce the sediment volumes to treat, organic and metal micropollutant-bearing phases should be identified. A combination of density fractionation procedure and microanalysis techniques was used to evaluate the distribution of polycyclic aromatic hydrocarbons (PAHs) and trace metals (Cd, Cr, Cu, Ni, Pb, and Zn) within variable density fractions for three urban stormwater basin sediments. The results confirm that PAHs are found in the lightest fractions (d?d??3) whereas trace metals are equally distributed within the light, intermediary, and highest fractions (d?d?d?d?>?2.8 g cm^?3) and are mostly in the 2.3?d??3 fraction. The characterization of the five fractions by global analyses and microanalysis techniques (XRD and MEB-EDX) allowed us to identify pollutant-bearing phases. PAHs are bound to the organic matter (OM) and trace metals to OM, clays, carbonates and dense particles. Moreover, the microanalysis study underlines that OM is the main constituent responsible for the aggregation, particularly for microaggregation. In terms of sediment management, it was shown that density fractionation is not suitable for trace metals but could be adapted to separate PAH-enriched phases.     

A new bioseed for determination of wastewater biodegradability: analysis of the experimental procedure

A new bioassay proposed in the patent P201300029 was applied to a pre-treated wastewater containing a mixture of commercial pesticides to simulate a recalcitrant industrial wastewater in order to determine its biodegradability. The test uses a mixture of standardized inoculum of the lyophilized bacteria Pseudomonas putida with the proper proportion of salts and minerals. The results highlight that biodegradation efficiency can be calculated using a gross parameter (chemical oxygen demand (COD)) which facilitates the biodegradability determination for routine water biodegradability analysis. The same trend was observed throughout the assay with the dehydrated and fresh inoculums, and only a difference of 5 % in biodegradation efficiency (E _f) was observed. The obtained results showed that the P. putida biodegradability assay can be used as a commercial test with a lyophilized inoculum in order to monitor the ready biodegradability of an organic pollutant or a WWTP influent. Moreover, a combination of the BOD₅/COD ratio and the P. putida biodegradability test is an attractive alternative in order to evaluate the biodegradability enhancement in water pre-treated with advanced oxidation processes (AOPs).     

UV/Fenton技术处理某工厂高浓度乳化油废水

研究了UV/Fenton技术对高浓度金属清洗乳化油废水的处理效果,考察了亚铁与双氧水浓度、pH、反应时间和搅拌对COD去除效果的影响。实验结果表明,UV/Fenton技术对高浓度乳化油废水(COD平均浓度为35 000 mg/L)具有较高的去除效果,最佳工艺条件为:亚铁与双氧水浓度分别为2 400 mg/L和6 000 mg/L,pH为3,经过2 h反应,COD可降低至1 050 mg/L,去除率为97%。搅拌会降低COD的去除率。研究表明,UV/Fenton技术对高浓度乳化油废水具有很好的降解效果,且药品消耗较低,为目前此类高浓度有机废水的处理提供了技术参考。     

Probability analyses of combining background concentrations with model-predicted concentrations

In order to calculate total concentrations for comparison to ambient air quality standards, monitored background concentrations are often combined with model predicted concentrations. Models have low skill in predicting the locations or time series of observed concentrations. Further, adding fixed points on the probability distributions of monitored and predicted concentrations is very conservative and not mathematically correct. Simply adding the 99th percentile predicted to the 99th percentile background will not yield the 99th percentile of the combined distributions. Instead, an appropriate distribution can be created by calculating all possible pairwise combinations of the 1-hr daily maximum observed background and daily maximum predicted concentration, from which a 99th percentile total value can be obtained. This paper reviews some techniques commonly used for determining background concentrations and combining modeled and background concentrations. The paper proposes an approach to determine the joint probabilities of occurrence of modeled and background concentrations. The pairwise combinations approach yields a more realistic prediction of total concentrations than the U.S. Environmental Protection Agency's (EPA) guidance approach and agrees with the probabilistic form of the National Ambient Air Quality Standards.

Implications: EPA's current approaches to determining background concentrations for compliance modeling purposes often lead to “double counting” of background concentrations and actual plume impacts and thus lead to overpredictions of total impacts. Further, the current Tier 1 approach of simply adding the top ends of the background and model predicted concentrations (e.g., adding the 99th percentiles of these distributions together) results in design value concentrations at probabilities in excess of the form of the National Ambient Air Quality Standards.     

Particulate matter speciation profiles for light-duty gasoline vehicles in the United States

Representative profiles for particulate matter particles less than or equal to 2.5 µm (PM_2.5) are developed from the Kansas City Light-Duty Vehicle Emissions Study for use in the U.S. Environmental Protection Agency (EPA) vehicle emission model, the Motor Vehicle Emission Simulator (MOVES), and for inclusion in the EPA SPECIATE database for speciation profiles. The profiles are compatible with the inputs of current photochemical air quality models, including the Community Multiscale Air Quality Aerosol Module Version 6 (AE6). The composition of light-duty gasoline PM_2.5 emissions differs significantly between cold start and hot stabilized running emissions, and between older and newer vehicles, reflecting both impacts of aging/deterioration and changes in vehicle technology. Fleet-average PM_2.5 profiles are estimated for cold start and hot stabilized running emission processes. Fleet-average profiles are calculated to include emissions from deteriorated high-emitting vehicles that are expected to continue to contribute disproportionately to the fleet-wide PM_2.5 emissions into the future. The profiles are calculated using a weighted average of the PM_2.5 composition according to the contribution of PM_2.5 emissions from each class of vehicles in the on-road gasoline fleet in the Kansas City Metropolitan Statistical Area. The paper introduces methods to exclude insignificant measurements, correct for organic carbon positive artifact, and control for contamination from the testing infrastructure in developing speciation profiles. The uncertainty of the PM_2.5 species fraction in each profile is quantified using sampling survey analysis methods. The primary use of the profiles is to develop PM_2.5 emissions inventories for the United States, but the profiles may also be used in source apportionment, atmospheric modeling, and exposure assessment, and as a basis for light-duty gasoline emission profiles for countries with limited data.

Implications: PM_2.5 speciation profiles were developed from a large sample of light-duty gasoline vehicles tested in the Kansas City area. Separate PM_2.5 profiles represent cold start and hot stabilized running emission processes to distinguish important differences in chemical composition. Statistical analysis was used to construct profiles that represent PM_2.5 emissions from the U.S. vehicle fleet based on vehicles tested from the 2005 calendar year Kansas City metropolitan area. The profiles have been incorporated into the EPA MOVES emissions model, as well as the EPA SPECIATE database, to improve emission inventories and provide the PM_2.5 chemical characterization needed by CMAQv5.0 for atmospheric chemistry modeling.