地下水循环井技术处理土壤和地下水中甲基叔丁基醚研究

研究了MTBE在砂土中的静态吸附以及采用地下水循环井技术(GCW)去除砂土和地下水中MTBE的衰减规律。结果表明:MTBE在砂土中的吸附动力学符合准二级动力学方程,相关系数R2为0.99618,在砂土中的吸附平衡时间为24 h;吸附热力学符合Linear平衡吸附,吸附系数为0.00306 m3/kg。GCW运行30 h后,地下水饱和含水层中MTBE浓度由500 mg/L降至72.5 mg/L,去除率为85.5%;砂土中MTBE的吸附量由0.93 mg/g降至0.03 mg/g,去除率达96.4%。水平方向距GCW越近,MTBE的去除效率越快,垂直方向位于GCW上部的MTBE优先会被去除,最佳修复时间为运行15 h。GCW对砂土和地下水中高浓度MTBE具有良好的修复效果。     

Bioaccumulation and the expression of hepatic cytochrome P450 genes in marine medaka (Oryzias melastigma) exposed to difenoconazole

This study was conducted to assess the effects of difenoconazole (DFZ), a triazole fungicide, on the hepatic biotransformation system and its bioaccumulation in marine medaka (Oryzias melastigma). Fish were exposed to DFZ (1, 10, 100, 1000 ng/L) for 180 days. The results showed that: (1) The mRNA levels of hepatic CYP1A1, CYP1B, CYP1C1, CYP27B and CYP3A40 were up-regulated, but those of CYP3A38 and CYP27A1 were down-regulated. (2) The activity of ethoxyresorufin-O-deethylase (EROD) and the content of reduced glutathione (GSH) in the liver were increased in the DFZ-treated groups, and glutathione S-transferase (GST) activity was increased in the 100 and 1000 ng/L groups. (3) DFZ was accumulated in the muscle and the biological concentration factors in the 10, 100, and 1000 ng/L groups were respectively 149, 81 and 25. These results suggested that long-term exposure to DFZ at low concentrations would result in a bioaccumulation of this compound and disturb the biotransformation system.     

Effects of sludge retention time, carbon and initial biomass concentrations on selection process: From activated sludge to polyhydroxyalkanoate accumulating cultures

Four sequence batch reactors (SBRs) fed by fermented sugar cane wastewater were continuously operated under the aerobic dynamic feeding (ADF) mode with different configurations of sludge retention time (SRT), carbon and initial biomass concentrations to enrich polyhydroxyalkanoate (PHA) accumulating mixed microbial cultures (MMCs) from municipal activated sludge. The stability of SBRs was investigated besides the enrichment performance. The microbial community structures of the enriched MMCs were analyzed using terminal restriction fragment length polymorphism (T-RFLP). The optimum operating conditions for the enrichment process were: SRT of 5 days, carbon concentration of 2.52 g COD/L and initial biomass concentration of 3.65 g/L. The best enrichment performance in terms of both operating stability and PHA storage ability of enriched cultures (with the maximum PHA content and PHA storage yield (Y_PHA/S) of 61.26% and 0.68 mg COD/mg COD, respectively) was achieved under this condition. Effects of the SRT, carbon concentration and initial biomass concentration on the PHA accumulating MMCs selection process were discussed respectively. A new model including the segmentation of the enrichment process and the effects of SRT on each phase was proposed.     

磁性PEI功能化秸秆的制备及对Pb (Ⅱ)的吸附

为获得同时具有优良的吸附性能和磁分离特性的生物吸附材料,以汽爆秸秆为基质,采用戊二醛交联剂法制备了磁性聚乙烯亚胺功能化秸秆吸附剂（Fe₃O₄-PEI-RS）,通过SEM、XRD、FTIR、XPS和VSM等手段表征了材料的结构和性质,测定了Pb（Ⅱ）在Fe₃O₄-PEI-RS上的吸附性能,考察了pH、吸附时间、吸附剂投加量、Pb（Ⅱ）初始浓度、温度等因素对吸附的影响.结果表明,Fe₃O₄-PEI-RS对Pb（Ⅱ）的吸附具有强烈的pH依赖性;吸附时间对Pb（Ⅱ）的吸附效率有明显的影响,在180 min时吸附达到平衡,吸附过程符合准二级动力学模型;Langmuir和Freundlich模型都能很好地描述Pb（Ⅱ）在Fe₃O₄-PEI-RS上的吸附行为,20、30和40℃时最大吸附量分别为192.31、200.00和212.77 mg/g;热力学参数△G < 0,而焓变△H>0、△S>0,说明该吸附属于熵增加的自发吸热反应过程,升温有利于吸附.重复试验表明,EDTA作解吸剂,经5次吸附/解吸附循环后吸附剂仍能保持较高的吸附容量.研究显示,所制Fe₃O₄-PEI-RS对Pb（Ⅱ）具有较高的吸附容量,稳定性好、可循环利用,能在磁场下实现快速分离.      

Biodegradation of polycyclic aromatic hydrocarbons (PAHs) by fungal enzymes: A review

Polycyclic aromatic hydrocarbons (PAHs) are a large group of chemicals. They represent an important concern due to their widespread distribution in the environment, their resistance to biodegradation, their potential to bioaccumulate and their harmful effects. Several pilot treatments have been implemented to prevent economic consequences and deterioration of soil and water quality. As a promising option, fungal enzymes are regarded as a powerful choice for degradation of PAHs. Phanerochaete chrysosporium, Pleurotus ostreatus and Bjerkandera adusta are most commonly used for the degradation of such compounds due to their production of ligninolytic enzymes such as lignin peroxidase, manganese peroxidase and laccase. The rate of biodegradation depends on many culture conditions, such as temperature, oxygen, accessibility of nutrients and agitated or shallow culture. Moreover, the addition of biosurfactants can strongly modify the enzyme activity. The removal of PAHs is dependent on the ionization potential. The study of the kinetics is not completely comprehended, and it becomes morem hallenging when fungi are applied for bioremediation. Degradation studies in soil are much more complicated than liquid cultures because of the heterogeneity of soil, thus, many factors should be considered when studying soil bioremediation, such as desorption and bioavailability of PAHs. Different degradation pathways can be suggested. The peroxidases are heme-containing enzymes having common catalytic cycles. One molecule of hydrogen peroxide oxidizes the resting enzyme withdrawing two electrons. Subsequently, the peroxidase is reduced back in two steps of one electron oxidation. Laccases are copper-containing oxidases. They reduce molecular oxygen to water and oxidize phenolic compounds.     

Amoxicillin effects on functional microbial community and spread of antibiotic resistance genes in amoxicillin manufacture wastewater treatment system

This study aimed to reveal how amoxicillin(AMX) affected the microbial community and the spread mechanism of antibiotic resistance genes(ARGs) in the AMX manufacture wastewater treatment system. For this purpose, a 1.47 L expanded granular sludge bed(EGSB) reactor was designed and run for 241 days treating artificial AMX manufacture wastewater. 454 pyrosequencing was applied to analyze functional microorganisms in the system. The antibiotic genes OXA_(-1), OXA_(-2), OXA_(-10), TEM_(-1), CTX-M_(-1), class I integrons(intI1) and 16 SrRNA genes were also examined in sludge samples. The results showed that the genera Ignavibacterium, Phocoenobacter,Spirochaeta, Aminobacterium and Cloacibacillus contributed to the degradation of different organic compounds(such as various sugars and amines). And the relative quantification of eachβ-lactam resistance gene in the study was changed with the increasing of AMX concentration.Furthermore the vertical gene transfer was the main driver for the spread of ARGs rather than horizontal transfer pathways in the system.     

基于ES-VSP分布的交通状态对公交车动态排放的影响

为评估不同交通状态下公交车运行特征和排放水平的差异,现场采集广州市B9、226线路公交车的逐秒GPS数据,以ES-VSP（发动机负荷-机动车比功率）分布表征畅通、轻度拥堵和中度拥堵下的公交车运行特征,结合IVE（international vehicle emission）模型求得公交车平均排放因子并分析其差异.结果表明:①所测公交车的发动机低负荷区中bin11（-1.6 < ES ≤ 3.1,-2.9 kW/t ≤ VSP < 1.2 kW/t）频率范围为50.55%~83.39%,中度拥堵时bin 11频率是畅通时的1.1~1.3倍;② 3种交通状态下公交车的CO、VOC（运行产生的挥发性有机物）、VOC_evap（蒸发产生的挥发性有机物）、NO_x（氮氧化物）和PM（颗粒物）平均排放因子范围分别为7.63~11.40、0.26~0.46、0.68~1.56、0.32~0.51和0.72×10-2~1.28×10-2 g/km;③同种交通状态下,主干路公交车专用道和BRT车道的公交车的大部分污染物平均排放因子低于次干路混行车道、主干路混行车道,中度拥堵时主干路BRT车道的CO、VOC、VOC_evap、NO_x和PM平均排放因子相对其他道路最低,分别为7.66、0.27、0.87、0.32和0.75×10-2 g/km;④次干路混行车道、主干路混行车道的公交车污染物平均排放因子随交通状态愈加拥堵而增大,但畅通时主干路BRT车道的公交车行驶速度、加速度较高,导致CO平均排放因子较高,对应3种交通状态其比例为1.0:0.9:0.8.研究显示,交通状态对公交车运行和排放具有显著影响.      

菌渣中阿维菌素残留检测方法及其无害化工艺研究

文章建立了简单、快速的阿维菌素菌渣中阿维菌素残留量高校液相色谱检测方法以及利用水热法处理阿维菌素菌渣。采用固相萃取-高效液相色谱检测方法测定阿维菌素菌渣中阿维菌素残留量,提取剂为乙腈/水=4/1(V/V),采用HLB固相萃取柱进行净化。加标回收率90.3%~107.3%,相对标准偏差(RSD)为3.00%~5.69%,阿维2菌素标准曲线线性相关系数R~2=0.999 6,线性范围为1.0~1 000 mg/L。利用正交实验,水热法处理阿维菌素菌渣,在190℃的温度下处理2 h后,菌渣中阿维菌素残留量由991.30降至0.84 mg/kg,去除率达99.92%。处理前后的菌渣与有机肥标准作对比,除含水率外其余检测指标均达到有机肥标准要求。该项研究为阿维菌素菌渣的资源化利用提供了理论依据。     

环境保护系统参与空间规划的思考与建议

空间规划体系下,环境规划在空间落地性以及精细化程度上存在短板。建议环境规划进一步完善生态保护红线制度,探索环境质量底线、环保负面清单的划定技术思路与技术路线,推动环境保护系统化参与空间规划。     

基于GIS和LUR模型的西安市PM2.5浓度空间分布模拟研究

基于地理信息系统GIS和土地利用回归LUR模型,模拟西安市PM2.5浓度空间动态分布,结果表明:与PM2.5浓度相关性最高的分别为缓冲区为2 km的水域面积、人口密度和距离水域距离,R 2分别为0.501,0.393和0.280;与PM2.5浓度相关性最低的分别为缓冲区为4 km的水域面积、未利用地面积和耕地面积,R 2分别为0.039、0.021和0.017.未考虑风速建立的LUR模型多元回归的相关系数为0.856,R 2为0.733,考虑风速的相关系数为0.892,R 2为0.796,表明风速对于污染物的分布影响较大,LUR模型模拟效果较好.模拟的PM2.5年均浓度高风险区分布于中部,中风险区分布于中西部,低风险区分布于东南部和西部.