UASB处理生物柴油废水的效果研究

采用升流式厌氧污泥床(UASB)工艺处理地沟油回收制备生物柴油废水,通过试验研究了UASB反应器各个阶段对该类废水的处理效果,并考察了甲基磺酸、对甲基苯磺酸两种预酯化催化剂对该类废水处理效果的影响。结果表明:当进水COD为15g/L、容积负荷为15kg/(m3·d)时,UASB反应器COD的去除率稳定在87%左右,出水VFA为4~6mmol/L,沼气产量为16.8L/d;当容积负荷稳定在5kg/(m3·d),进水甲基磺酸浓度为5500mg/L时,UASB反应器COD的去除率达83%以上,进水对甲基苯磺酸浓度为1 000mg/L时,UASB反应器COD的去除率为58.3%,从废水处理的难易程度角度考虑,建议采用甲基磺酸为预酯化催化剂。     

杭州市办公场所室内空气中PBDEs的污染现状与特征

分析评价了杭州市办公场所中PBDEs的污染现状、污染特征.结果表明,办公场所中PBDEs气相和颗粒相总浓度范围为40.66~141.00 pg·m-3,平均浓度为93.22 pg·m-3,是家庭室内、室外浓度的1.87、5.01倍.BDE-47、BDE-99为办公场所中最重要的两种同系物,分别占总浓度的33.29%、31.99%.PBDEs气相浓度是颗粒相的1.34倍,其中BDE-28、BDE-47、BDE-99主要存在于气相中,BDE-153、BDE-183主要存在于颗粒相中.     

SFBR中好氧颗粒污泥的培养及特性研究

接种自行培养的活性污泥,以模拟废水为基质,采用连续进水、间歇出水及厌氧/好氧交替的运行模式,尝试了在SFBR中进行好氧颗粒污泥的培养,并研究了好氧颗粒污泥的特性及反应器对污染物的去除效果.结果表明,通过逐步缩短沉降时间,28 d时成功培养出好氧颗粒污泥,所形成的好氧颗粒污泥呈黄色、形状不规则,且粒径较小(平均粒径0.56 mm),正常情况下的SVI保持在70 mL·g-1以下,EPS在59 d时达到最大值(以MLVSS计)373.24 mg·g-1,较培养初期增加了约2.5倍,运行后期由于颗粒出现解体,导致EPS急剧下降;反应器在运行过程中未能保持较高的污泥量,中后期MLSS始终在3 000mg·L-1以下;在63 d的运行时间里,除异常波动外,反应器对COD的去除率基本维持在90%左右,正常情况下出水COD小于100 mg·L-1,反应器对NH+4-N、TIN的去除效果波动较大,去除率分别为44.45%~94.72%及43.87%~93.13%,反应器对TP的去除率在44.50%~97.40%之间,正常情况下TP去除率可维持在60%以上;限于自动控制水平,夜间长时间的好氧饥饿期容易造成丝状菌过度生长,使得AGS在生长竞争中处于劣势,最终导致了AGS的解体.     

县级环境监测站垂直管理后工作思考

简要分析了县级环境监测站在监测监察执法垂直管理制度改革后面临的问题,并针对问题提出建议。     

氯自由基介导的BDD电极选择性氧化脱氮

为实现氨氮的高效选择性转化,设计了一个氯自由基介导的电化学体系。该电化学体系以稳定性好、氧化能力强的掺硼金刚石(BDD)电极为阳极,以Pd-Cu修饰的泡沫镍材料(Pd-Cu/NF)为阴极,以氯化钠为电解质,对BDD电极选择性电催化氧化性能与机理进行了研究。结果表明:在4.0 V电压下,体系中的Cl~-原位可转NO_3~-,副产物N_2;分别探究了阴极材料、电场强度、电极间距、溶液pH和电解质种类对氨氮转化性能的影响。通过电子顺磁共振和自由基捕获实验,证实了Cl·在氨氮转化过程中发挥了重要作用。在最优条件下,可实现40 min内100%的氨氮转化率和25 mg·L~(-1)的N_2生成量,以上研究结果可为解决水体中氨氮的污染问题提供参考。     

上海市能耗与GDP大气污染的协整关系研究

采用计量经济学中的协整理论考察上海市能源消费量与经济增长、废气排放量、二氧化硫排放量之间的关系。结果显示,上海市能源消费只与经济增长、废气排放量之间存在长期协整关系,并建立了相应的长期均衡方程及误差修正模型。另外,对1978～2003年的能源消费与经济增长之间进行Granger因果关系检验,提出实现上海市经济-能源-环境和谐发展的措施。     

Synergistic Techniques for Better Understanding and Classifying the Environmental Structure of Landscapes

The desire to capture natural regions in the landscape has been a goal of geographic and environmental classification and ecological land classification (ELC) for decades. Since the increased adoption of data-centric, multivariate, computational methods, the search for natural regions has become the search for the best classification that optimally trades off classification complexity for class homogeneity. In this study, three techniques are investigated for their ability to find the best classification of the physical environments of the Mt. Lofty Ranges in South Australia: AutoClass-C (a Bayesian classifier), a Kohonen Self-Organising Map neural network, and a k-means classifier with homogeneity analysis. AutoClass-C is specifically designed to find the classification that optimally trades off classification complexity for class homogeneity. However, AutoClass analysis was not found to be assumption-free because it was very sensitive to the user-specified level of relative error of input data. The AutoClass results suggest that there may be no way of finding the best classification without making critical assumptions as to the level of class heterogeneity acceptable in the classification when using continuous environmental data. Therefore, rather than relying on adjusting abstract parameters to arrive at a classification of suitable complexity, it is better to quantify and visualize the data structure and the relationship between classification complexity and class homogeneity. Individually and when integrated, the Self-Organizing Map and k-means classification with homogeneity analysis techniques also used in this study facilitate this and provide information upon which the decision of the scale of classification can be made. It is argued that instead of searching for the elusive classification of natural regions in the landscape, it is much better to understand and visualize the environmental structure of the landscape and to use this knowledge to select the best ELC at the required scale of analysis.     

Effects of calibration on L-THIA GIS runoff and pollutant estimation

Urbanization can result in alteration of a watershed's hydrologic response and water quality. To simulate hydrologic and water quality impacts of land use changes, the Long-Term Hydrologic Impact Assessment (L-THIA) system has been used. The L-THIA system estimates pollutant loading based on direct runoff quantity and land use based pollutant coefficients. The accurate estimation of direct runoff is important in assessing water quality impacts of land use changes. An automated program was developed to calibrate the L-THIA model using the millions of curve number (CN) combinations associated with land uses and hydrologic soil groups. L-THIA calibration for the Little Eagle Creek (LEC) watershed near Indianapolis, Indiana was performed using land use data for 1991 and daily rainfall data for six months of 1991 (January 1-June 30) to minimize errors associated with use of different temporal land use data and rainfall data. For the calibration period, the Nash-Sutcliffe coefficient was 0.60 for estimated and observed direct runoff. The calibrated CN values were used for validation of the model for the same year (July 1-December 31), and the Nash-Sutcliffe coefficient was 0.60 for estimated and observed direct runoff. The Nash-Sutcliffe coefficient was 0.52 for January 1, 1991 to December 31, 1991 using uncalibrated CN values. As shown in this study, the use of better input parameters for the L-THIA model can improve accuracy. The effects on direct runoff and pollutant estimation of the calibrated CN values in the L-THIA model were investigated for the LEC. Following calibration, the estimated average annual direct runoff for the LEC watershed increased by 34%, total nitrogen by 24%, total phosphorus by 22%, and total lead by 43%. This study demonstrates that the L-THIA model should be calibrated and validated prior to application in a particular watershed to more accurately assess the effects of land use changes on hydrology and water quality.     

规划环境影响评价项目实施有效性的评估

从管理程序、技术方法、内容设置、评价结论及规划实施的保障措施等方面,建立了评估规划环境影响评价实施有效性的指标体系,包括“早期介入、公众参与的有效性、评审制度的严格性、工作程序的合理性、评价方法的实用性、技术手段的先进性、指标体系的全面性和合理性、环境质量评价标准的有效性、累积影响评价、替代方案、评价结论的明确性、规划评价结论的有效采纳、缓解和跟踪措施”等13项指标,并在对9个规划环境影响评价案例实施有效性评估的基础上,分析了当前该领域普遍存在的问题,包括规划环境影响评价介入时机晚、替代方案较少、公众参与普遍流于形式和对累积影响考虑不够等.      

红壤和黄泥土对不同浓度六氯苯的吸附与解吸特征

采用批量平衡试验的方法,研究了不同初始浓度的六氯苯在红壤和黄泥土表面的吸附与解吸特征. 结果表明,六氯苯在红壤和黄泥土表面的吸附与解吸行为均可用Freundlich方程进行很好的拟合,其相关系数(R2)在0.97-0.99之间,并表现为非线性特征. 六氯苯在红壤和黄泥土上吸附的KadsF值均小于其解吸的KdesF值,说明六氯苯在这两种土壤表面的解吸表现为一定的滞后效应. 随着初始浓度的升高,其滞后效应增强,两者呈线性相关. 用不同方程对滞后系数H,ω和λ进行量化,发现不同浓度的六氯苯在土壤表面的解吸过程表现出正滞后效应.