长江口表层沉积物中半挥发性有机物的分布

采用GC-FID方法对2005年11月采集于长江河口区表层沉积物中的64种半挥发性有机物(SVOCs)进行分析测定,并对影响该类污染物分布的主要因素进行了讨论. 结果表明:该区域表层沉积物中共检出半挥发性有机物35种,包括多环芳烃类11种,取代苯类7种,酚类5种,酯类3种,醚类2种和其他类7种. 其中,属于我国优先控制污染物的有7种,属于美国优先控制污染物的有22种. 沉积物中SVOCs的分布未呈现出明显的规律,其分布主要受采样点所处的水利条件、与排污口的相对位置、沉积物颗粒粒径、有机质含量和洪枯季等因素的影响;采样点的水动力条件越弱,与排污口的距离越近,沉积物颗粒粒径越小,导致沉积物中污染物的种类和数量就越多.      

沉积物中有机氯农药超声提取分析方法研究

应用超声提取沉积物中的有机氯农药(OCPs),GC-ECD进行定量分析. 研究了不同提取溶剂、提取时间、提取次数以及不同极性的毛细管色谱柱对沉积物中11种OCPs(六氯苯,α-HCH,γ-HCH,七氯,艾氏剂,δ-HCH,β-HCH,p,p′-DDE,o,p′-DDT,p,p′-DDD和p,p′-DDT)提取效率的影响,确定了沉积物中OCPs超声提取的最优条件:用正己烷/二氯甲烷(体积比为1∶1)作提取溶剂,提取60 min,提取1次,采用DB-1701毛细管色谱柱,GC-ECD定量测定可以得到较好的效果,提取效率均高于70%,满足美国环境保护局(USEPA)的要求. 利用最优条件分析了辽东湾沉积物中的OCPs含量. 结果表明,辽东湾沉积物中六氯苯,α-HCH,γ-HCH,七氯,δ-HCH,β-HCH,p,p′-DDE,o,p′-DDT,p,p′-DDD和p,p′-DDT均被检出;DDTs类以p,p′-DDT含量最高,且以DDE为主要的降解产物;HCHs以δ-HCH含量最高. 与其他湖泊河流沉积物相比,辽东湾HCHs,DDTs及六氯苯含量相对较高.      

紫外光降解高浓度氯苯气体的研究

为评价紫外光降解作为高浓度挥发性有机物生物预处理的可行性,系统考察了其对高浓度氯苯气体的去除性能及其影响因素.所考察的影响因素包括紫外光波长、进口ρ(氯苯)、空塔停留时间和气体相对湿度等.结果表明:复合254和185 nm波长紫外光照射对氯苯的去除效果优于单一254 nm波长;紫外光降解反应器的进口ρ(氯苯)在2 300～2600 mg/m3,空塔停留时间为27 s时,对氯苯气体的去除率可达40%,继续延长空塔停留时间对氯苯去除率的提高作用有限;进口ρ(氯苯)在150～3 000 mg/m3时,氯苯去除速率随进口浓度单调增加,当高于3 000 mg/m3时,氯苯去除速率基本保持不变;增加气体相对湿度可以提高紫外光降解反应器对氯苯的去除效果.      

两种工艺对污水再生水中微量有机物的去除效果

以20种微量有机污染物为目标物,针对北京市2个再生水厂的不同工艺,系统地考察了污水再生水中目标化合物的去除效果,并采用重组酵母雌激素活性筛检法(YES法)对再生水中雌激素活性进行评价.结果表明,超滤(UF)+臭氧(O3)氧化处理工艺可有效地去除微量有机污染物,出水中雌二醇当量浓度(EEQ)低于YES法检出范围.A2/O+膜生物反应器(MBR)+反渗透(RO)处理工艺对微量有机污染物有很高的去除能力,出水中可检测出的目标化合物较少.2种工艺均可降低再生水的环境风险,保障其使用安全.     

SBBR工艺处理有机农药废水的生产性试验

为了实现SBBR工艺处理有机农药废水在生产上的应用,选择有代表性的农药厂进行生产性试验。试验结果表明:COD、BOD5、SS、TP平均去除率分别为90.1%、91%、88.8%和94.7%,出水水质达到GB8978-1996《污水综合排放标准》中的二级标准,并且运行稳定、投资省。     

Carbon sequestration in soils of SW-Germany as affected by agricultural management—Calibration of the EPIC model for regional simulations

Global emissions trading allows for agricultural measures to be accounted for the carbon sequestration in soils. The Environmental Policy Integrated Climate (EPIC) model was tested for central European site conditions by means of agricultural extensification scenarios. Results of soil and management analyses of different management systems (cultivation with mouldboard plough, reduced tillage, and grassland/fallow establishment) on 13 representative sites in the German State Baden-Württemberg were used to calibrate the EPIC model. Calibration results were compared to those of the Intergovernmental Panel on Climate Change (IPCC) prognosis tool. The first calibration step included adjustments in (a) N depositions, (b) N₂-fixation by bacteria during fallow, and (c) nutrient content of organic fertilisers according to regional values. The mixing efficiency of implements used for reduced tillage and four crop parameters were adapted to site conditions as a second step of the iterative calibration process, which should optimise the agreement between measured and simulated humus changes. Thus, general rules were obtained for the calibration of EPIC for different criteria and regions. EPIC simulated an average increase of +0.341 Mg humus-C ha⁻¹ a⁻¹ for on average 11.3 years of reduced tillage compared to land cultivated with mouldboard plough during the same time scale. Field measurements revealed an average increase of +0.343 Mg C ha⁻¹ a⁻¹ and the IPCC prognosis tool +0.345 Mg C ha⁻¹ a⁻¹. EPIC simulated an average increase of +1.253 Mg C ha⁻¹ a⁻¹ for on average 10.6 years of grassland/fallow establishment compared to an average increase of +1.342 Mg humus-C ha⁻¹ a⁻¹ measured by field measurements and +1.254 Mg C ha⁻¹ a⁻¹ according to the IPCC prognosis tool. The comparison of simulated and measured humus C stocks was r² ≥ 0.825 for all treatments. However, on some sites deviations between simulated and measured results were considerable. The result for the simulation of yields was similar. In 49% of the cases the simulated yields differed from the surveyed ones by more than 20%. Some explanations could be found by qualitative cause analyses. Yet, for quantitative analyses the available information from farmers was not sufficient. Altogether EPIC is able to represent the expected changes by reduced tillage or grassland/fallow establishment acceptably under central European site conditions of south-western Germany.     

Simulating soil organic matter with CQESTR (v. 2.0): Model description and validation against long-term experiments across North America

Soil carbon (C) models are important tools for examining complex interactions between climate, crop and soil management practices, and to evaluate the long-term effects of management practices on C-storage potential in soils. CQESTR is a process-based carbon balance model that relates crop residue additions and crop and soil management to soil organic matter (SOM) accretion or loss. This model was developed for national use in U.S and calibrated initially in the Pacific Northwest. Our objectives were: (i) to revise the model, making it more applicable for wider geographic areas including potential international application, by modifying the thermal effect and incorporating soil texture and drainage effects, and (ii) to recalibrate and validate it for an extended range of soil properties and climate conditions. The current version of CQESTR (v. 2.0) is presented with the algorithms necessary to simulate SOM at field scale. Input data for SOM calculation include crop rotation, aboveground and belowground biomass additions, tillage, weather, and the nitrogen content of crop residues and any organic amendments. The model was validated with long-term data from across North America. Regression analysis of 306 pairs of predicted and measured SOM data under diverse climate, soil texture and drainage classes, and agronomic practices at 13 agricultural sites having a range of SOM (7.3–57.9 g SOM kg⁻¹), resulted in a linear relationship with an r² of 0.95 (P < 0.0001) and a 95% confidence interval of 4.3 g SOM kg⁻¹. Using the same data the version 1.0 of CQESTR had an r² of 0.71 with a 95% confidence interval of 5.5 g SOM kg⁻¹. The model can be used as a tool to predict and evaluate SOM changes from various management practices and offers the potential to estimate C accretion required for C credits.     

金属有机骨架材料低温脱硝技术研究进展

金属有机骨架材料（MOFs）因其独特的结构作为催化剂应用于SCR系统表现出较好的低温脱硝效果和较强的抗SO₂、抗H₂O性能。综述了几种较典型的MOFs催化剂及其改性产物的低温催化性能,以及MOFs材料应用于SCR技术的研究进展,指出：对含有两种或两种以上金属的复合MOFs材料的深入研究,是开发稳定性更高、抗SO₂抗H₂O能力更强的MOFs催化剂的重要思路;此外,对有机组成部分进行改性,提高有机配体的热稳定性也是一个重要的研究思路。     

大型垃圾填埋场垃圾稳定化研究

本文对大型垃圾填埋场内不同填埋时间垃圾四个组分 (总糖、有机质、生物可降解物和粗纤维 )含量进行了分析 ,并对各指标随填埋时间的变化趋势进行了讨论。结果表明 :在试验场封场后不久 ,垃圾取样均匀性不能保证 ,各指标随时间变化波动很大 ;封场 71 8d后 ,各指标随时间变化呈现一定的规律性 ,垃圾的生物可降解物含量变化能较好地反映垃圾的降解规律。     

城市污泥堆肥中水溶性有机物的理化特性变化

通过透析和XAD-8树脂等方法研究了城市污泥堆肥过程中水溶性有机物(DOM)的理化特性变化.结果表明,随着堆肥的进行,堆肥DOM的浓度和pH值分别降低了58.4%和9.5%;DOM中小分子组分和亲水性组分分别减少了13.1%和9.2%,而大分子组分与疏水性组分有所增加,疏水性组分/亲水性组分由0.89增至1.29;DOM中C、H、N、S含量和C/H、C/N、C/S、C/(N+S)均呈降低趋势.这些变化趋势与堆肥过程中有机物的变化规律一致,因此,堆肥DOM的理化特性能用以表征堆肥的腐熟度.