Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

鄱阳湖湿地土壤-植物-地下水稳定氧同位素组成分析

近年来,鄱阳湖水位持续走低,极端干旱事件频繁发生,湿地生态系统结构与功能遭受破坏。为此,于2014年鄱阳湖湿地保护区两个断面分层采集0~100 cm土壤,并采集优势种植物和河湖水以及地下水数据,运用稳定同位素技术,分析了土壤-植物-河湖水-地下水稳定同位素变化特征,并探寻它们之间的补给关系。结果表明,两断面土壤水氧同位素变化范围分别为–10.48‰~–5.23‰和–12.39‰~–6.55‰,算术平均值分别为–8.36‰和–8.63‰。断面一表层(0~30 cm)土壤水氧重同位素较富集,且随深度增加而减小;断面二表层(0~40 cm)土壤水中氧同位素组成基本无变化。断面一的地下水主要是受降水补给,断面二可能是受降水和河湖水共同补给。鄱阳湖湿地两断面优势种植物虉草叶片水的氧同位素值最大,为–0.9‰,其次是灰化苔草和芦苇,分别为–4.23‰和–5.25‰。     

好氧颗粒污泥自生动态膜生物反应器处理碱减量印染废水

自生动态膜生物反应器(SFDMBR)接种颗粒污泥启动,研究溶解氧浓度和水力停留时间对该反应器处理碱减量印染废水的影响。自生动态膜生物反应器形成稳定的动态膜后,出水浊度小于10 NTU,系统对浊度的去除率在90%以上,溶解氧和水力停留时间对反应器出水浊度基本无影响。系统对废水色度的去除率随着溶解氧浓度的提高和水力停留时间的延长而增加,但是系统对色度的去除效率一般不超过40%。溶解氧浓度由0.3 mg/L逐渐增大至2.4 mg/L,COD的去除率由40%提升至80%,而当溶解氧浓度大于1.0 mg/L后,UV254的去除率达到95%。水力停留时间在8~48 h时,COD去除效率由65%逐渐上升至85%左右;水力停留时间在8~32 h,UV254去除效率为68%~93%,超过32 h后水力停留时间对UV254去除效率的影响已不明显。     

Influence of dissolved humic substances on the mass transfer of organic compounds across the air-water interface

The effect of dissolved humic substances (DHS) on the rate of water-gas exchange of two volatile organic compounds was studied under various conditions of agitation intensity, solution pH and ionic strength. Mass-transfer coefficients were determined from the rate of depletion of model compounds from an apparatus containing a stirred aqueous solution with continuous purging of the headspace above the solution (dynamic system). Under these conditions, the overall transfer rate is controlled by the mass-transfer resistance on the water side of the water-gas interface. The experimental results show that the presence of DHS hinders the transport of the organic molecules from the water into the gas phase under all investigated conditions. Mass-transfer coefficients were significantly reduced even by low, environmentally relevant concentrations of DHS. The retardation effect increased with increasing DHS concentration. The magnitude of the retardation effect on water-gas exchange was compared for Suwannee River fulvic and humic acids, a commercially available leonardite humic acid and two synthetic surfactants. The observed results are in accordance with the concept of hydrodynamic effects. Surface pressure forces due to surface film formation change the hydrodynamic characteristics of water motion at the water-air interface and thus impede surface renewal.     

序批式生物膜反应器挂膜启动实现短程硝化

常温条件下(20～25℃),以模拟的人工配水为研究对象,采用序批式生物膜反应器(SBBR),在初期挂膜的基础上,笔者运用两种不同的挂膜方式即重新加入新泥和不加新泥而加大进水COD浓度来实现生物膜的快速启动。实验表明,2种挂膜启动通过14 d的培养与富集,NH4+-N与COD的处理效果都能分别达到85%和75%以上。将剩余污泥排尽后,采用第1种挂膜方式的反应器通过连续间歇曝气,达到了比较好的短程硝化效果。调整溶解氧,并且通过先下降后上升曝气量的方式,能进一步提高亚氮的出水。最终在DO为3.6 mg/L时,亚氮的积累率能达到平均74%左右,达到了比较好的亚硝化效果。而第2种挂膜方式培养的生物膜则以好氧反硝化菌为主,去除的氨氮由同化作用和培养的好氧反硝化菌去除,以后者为主。通过比较可以看出,为了实现短程硝化,第1种挂膜方式比第2种更具有优越性,有利于硝化菌种的生长和亚氮的积累,而第2种方式则有利于培养好氧反硝化菌。     

Plant steroid hormones produced under Ni stress are involved in the regulation of metal uptake and oxidative stress in Brassica juncea L

Brassinosteroids (BRs) are involved in the amelioration of various biotic and abiotic stresses. With an aim to explore the role of BRs under heavy metal stress, plants of Brassica juncea L. were grown in pots. The plants were subjected to various concentrations of Nickel metal (0.0, 0.2, 0.4 and 0.6 mM) and harvested on 60th day in order to observe the expression of these hormones. The isolated BRs from the leaves of Brassica plants characterized by GC-MS include 24-Epibrassinolide (24-EBL), Castasterone, Dolicholide and Typhasterole. The effect of isolated 24-EBL was studied on Ni metal uptake and antioxidative defense system in 60 d old plants of Brassica. It was observed that 24-EBL significantly increased the activities of stress ameliorating enzymes and lowered the metal uptake in plants. This is the first report in B. juncea L. plants showing the expression of BRs under metal treatments and effect of the isolated 24-EBL on metal uptake and in oxidative stress management.     

释氧材料修复地下水石油烃污染研究进展

石油烃对土壤和地下水的污染不断被重视,释氧材料作为一种强化生物修复技术正日益受到关注。文章介绍了释氧材料的发展史,阐述修复场地条件、地下水化学环境和材料释氧速率控制对修复效果的影响,并对该技术的发展进行了展望。     

极端干旱水文年(2011年)夏季珠江口溶解氧的分布特征及影响因素研究

气候变化背景下,极端气候事件对河口生态环境的影响已引起许多研究者的关注.基于2011年夏季的调查资料,分析了珠江口在极端干旱情况下溶解氧的分布特征及其与海水稳定性、营养盐和浮游植物分解之间的关系,并对河口底层低氧区的成因进行初步探讨.调查结果发现,在珠江特低径流量的情况下,珠江口邻近海域底层明显出现低氧状态,DO的最低值仅为1.38 mg.L-1.相关性分析显示,表层水和底层水之间的ΔDO与ΔT、ΔS、ΔDIN、ΔSS和ΔPOC都达到显著相关的水平,其中ΔDO与ΔT和ΔPOC呈极显著的正相关,而与ΔS呈极显著的负相关关系.研究表明,与1999年和2009年夏季不同,2011年夏季珠江口底层低氧环境的形成主要与极端干旱气候下低径流导致河口水体滞留时间延长及颗粒态有机物质在沉降过程中的分解耗氧有关.另外,从最低DO值的角度分析,珠江口季节性缺氧程度在过去20 a间并未呈现显著的变化趋势.     

水环境中碳纳米管对沙丁胺醇光降解的影响

选取沙丁胺醇(salbutamol,SAL)为目标污染物,研究了3种碳纳米管(CNTs,单壁碳纳米管SCNT、羟基衍生化多壁碳纳米管MWNT-OH和羧基衍生化多壁碳纳米管MWNT-COOH)对有机污染物在模拟太阳光照下降解的影响;并且研究了CNTs与天然水体中光活性物质三价铁离子(Fe3+)的相互作用.结果表明,3种CNTs能够通过竞争吸收光子,即光屏蔽作用抑制SAL光解;同时又能通过光致激发产生单线态氧(1O2)促进光解反应,两种作用机制同时存在,在绝大多数情况下,抑制作用占主导地位.此外,CNTs还能通过静电吸附作用使水体中的光活性物质Fe3+失活,从而影响有机污染物在天然水体中的光化学行为.     

西安市重污染与清洁天PM2.5组分及其活性氧物质对比

针对重霾污染,在西安市冬季重污染日(2015-11-30~2015-12-09)和清洁日(2016-01-13~2016-01-22)各进行了为期10d的PM_(2.5)采集,测量其中的有机碳、元素碳,及NH_4~+、NO_3~-、SO_4~(2-)等无机水溶性离子,探讨两种污染条件下的组分特征及其成因.结果表明:观测期,重霾日和清洁日PM_(2.5)质量浓度分别为(170±47.5)μg·m~(-3)和(48.6±17.9)μg·m~(-3),且重霾日伴随低能见度、高湿静风等多种不利气象条件;重霾日二次无机离子(NH_4~+、NO_3~-、SO_4~(2-))组分占PM_(2.5)质量浓度的49.8%±13.1%,而清洁日为19.4%±5.95%,并且重霾日硫氧化速率(sulfur oxidation ratio,SOR)和氮氧化速率(nitrogen oxidation ratio,NOR)分别为0.282±0.157和0.269±0.124,远高于清洁日(SOR和NOR分别为0.189±0.057和0.077±0.046),重霾日二次有机组分浓度[(6.22±3.87)μg·m~(-3)]是清洁日[(1.44±1.63)μg·m~(-3)]的5倍,表明二次污染及不利气象条件是造成重霾期间相关组分浓度升高的重要原因.最后,通过二氯荧光黄双乙酸盐(2',7'-DCFH)化学荧光分析法测定了其中活性氧物质(reactive oxygen species,ROS)的浓度,探讨其对于二次无机组分形成的影响,结果表明观测期ROS平均浓度(以H_2O_2计)分别为(4.99±1.54)nmol·m~(-3)(重霾期),(0.492±0.356)nmol·m~(-3)(清洁期),二次反应及积累效应可能是西安重霾条件下ROS浓度升高的主要原因.NO_3~-、SO_4~(2-)与ROS均呈现正相关(P0.05),表明ROS可能通过二次氧化过程参与到二次无机组分形成过程中.