三峡库区消落带农用坡地磷素径流流失特征

消落带是三峡库区重要的生态交错带，但自发农用和无序开发可能会造成更多的氮磷流失，进而加剧三峡库区水体富营养化。通过对库区连续3 a的定位监测（2011~2013年），研究了三峡库区消落带农用坡地的磷素流失特征。结果表明：次降雨事件中常规施肥处理的地表径流、壤中流总磷平均浓度分别为0.848±0.153、0.140±0.006 mg/L，其中地表径流中磷的形态以颗粒态为主，壤中流以溶解态的生物可利用磷为主。常规施肥下，地表径流、壤中流磷素年均流失通量分别为0.236±0.004、0.100±0.003 kg·hm 2，地表径流、壤中流磷素流失通量分别占总流失通量的70.2%、29.8%，地表径流是坡地磷素流失的主要途径，但壤中流也是不可忽视的重要途径。与常规施肥处理相比，减量施肥处理地表径流、壤中流磷素流失量分别降低了45.3%、40.0%。建议采取减量施肥的方式，以降低营养盐负荷，保护水环境。     

曲霉菌降解机械润滑油的研究

分离出能高效降解机油的真菌并研究其使用方法.从机械润滑油污染的土中分离出2株真菌,GXUA和GXUB.形态鉴定为曲霉属(Aspergillus)菌.rDNA的ITS序列同源性分析表明,GXUA与A.tubingens,GXUB与A.fumigatus菌株SRRC 43完全同源.根据均匀设计的油-矿质液中的摇床发酵结果,混合菌体对机油的降解效率高于单菌株,最佳发酵条件为25 g菌丝体/L矿质液,pH=5.0,26 ℃.在此条件下,于10 g机油/L矿质液中摇床发酵9 d,其降解效率为95.90%.液-质色谱分析表明,混合菌能降解机油中700～900 Dt的大分子.用两菌株的孢子和其他两种生物材料试制了实验室级的颗粒(直径1 cm)生物制剂.在实验室级水平上,按500粒/m2水面和150粒/kg土用量分别处理具有约2 mm厚油膜的水(自来水和海水)和50 g机油/kg土的土壤,处理后的水和土壤中残余油量符合国家有关环境污染控制标准,添加油酸钠和H2O2能够显著提高降解效率.     

两种喹诺酮类抗生素对亚心形扁藻的毒性效应研究

研究了恩诺沙星和盐酸环丙沙星两种喹诺酮类抗生素对亚心形扁藻的毒理学效应。经多组不同浓度的两种抗生素处理后,分别对扁藻的96EC50、叶绿素和胞外聚合物（EPS）进行分析。结果表明,两种抗生素在低浓度时对扁藻生长具有促进作用,而在高浓度时体现抑制毒性作用。高浓度时,抗生素浓度越高对扁藻的生长、叶绿素和胞外聚合物抑制效果越明显,但当浓度达到一定高度后,抑制会达到其阈值。恩诺沙星和盐酸环丙沙星对扁藻的半生长抑制率分别为19.8 mg/L和28.7 mg/L。     

2014年-2020年江苏省城镇化的边际资源环境影响预测分析研究

利用历史数据,选取合适计算模型,定量预测了2014年-2020年江苏省城镇化边际资源环境影响,即以与城镇化发展密切相关的资源使用量或者城镇生活污染物排放量较上一年的增量,除以当年城镇化率增量,得到江苏省城镇化水平每提高一个百分点带来的资源环境影响,以期为江苏环境管理及政府综合决策提供切实有效的数据依据.结果表明:未来7年,江苏省城镇化率每上升1个百分点,增加城镇生活用水量约0.5亿立方米、城镇建设用地面积16万亩;增加城镇生活污水排放量1.15亿吨、生活氮氧化物排放量10 228吨、生活垃圾产生量36.4万吨;减少生活COD排放量7 549吨、生活氨氮排放量762吨、生活二氧化硫(SO2)排放量371吨.     

In situ electron-induced reduction of NOx via CNTs activated by DBD at low temperature

• An in situ electron-induced deNO_x process with CNT activated by DBD was achieved. • Carbon atoms on CNT surface were verified to be excited by plasma in DBD-CNT system. • Reactions between NO_x and excited C result in synergistic effect of DBD-CNT system. In this study, a new in situ electron-induced process is presented with carbon nanotubes (CNTs) as a reduction agent activated by dielectric barrier discharge (DBD) for nitrogen oxide (NO_x) abatement at low temperature (<407 K). Compared with a single DBD system and a DBD system with activated carbon (DBD-AC), a DBD system with carbon nanotubes (DBD-CNT) showed a significant promotion of NO_x removal efficiency and N₂ selectivity. Although the O₂ content was 10%, the NO_x conversion and N₂ selectivity in the DBD-CNT system still reached 64.9% and 81.9% at a specific input energy (SIE) of 1424 J/L, and these values decreased to 16.8%, 31.9% and 43.2%, 62.3% in the single DBD system and the DBD-AC system, respectively. X-ray photoelectron spectroscopy (XPS) and scanning electron microscopy (SEM) were utilized to investigate surface changes in the CNTs after activation by DBD to explore the NO_x reduction abatement mechanism of this new process. Furthermore, the outlet gas components were also observed via Fourier transform infrared spectroscopy (FTIR) to help reveal the NO_x reduction mechanism. Experimental results verified that carbon atoms excited by DBD and the structure of CNTs contributed to the synergistic activity of the DBD-CNT system. The new deNO_x process was accomplished through in situ heterogenetic reduction reactions between the NO_x and carbon atoms activated by the plasma on the CNTs. In addition, further results indicated that the new deNO_x process exhibited acceptable SO₂ tolerance and water resistance.     

啤酒行业涉氨环境风险特征、评估及防控对策

为了解和掌握啤酒行业涉氨环境风险状况,分析了啤酒行业液氨在运输、贮存和使用过程中的环境风险单元和特征。以典型啤酒厂为例,对其环境风险进行评估,确定环境风险等级,并利用环境风险评价系统(RiskSystem)模型对其在不同风速条件下发生液氨泄漏的环境风险进行了预测分析,进而提出有针对性的环境风险防控对策。研究结果表明:啤酒行业在液氨贮存和运输环节存在较大的环境风险,阀门、法兰、接口等连接部位腐蚀和操作不当是氨泄漏的主要原因。根据典型案例环境风险评估和模拟预测结果,在受体敏感区域环境风险较大,风速对氨泄漏事故的影响范围有较大作用,需要严格预防和加强风险控制。建议国家和地方尽快出台相应的环境风险防范技术规范;涉氨单位应以预防为主,加强环境风险单元和重点环节的隐患排查力度,严格落实风险防控措施和要求。     

基于环境一号卫星的PM2.5浓度遥感反演研究

2014年12月29—30日,青岛市发生了一次空气污染过程,利用环境一号卫星CCD遥感影像数据和实测PM_(2.5)浓度数据,分析了该过程前后5 d的实测PM_(2.5)浓度与环境一号卫星CCD遥感影像的DN值之间的相关性,分别按日期和区域建立了反演模型。结果表明,按日期拟合反演模型相关系数为0.02~0.51,按区域拟合反演模型相关系数为0.01~0.80,总体来说,区域拟合结果较好。     

Simultaneous determination of estrogenic odorant alkylphenols,chlorophenols, and their derivatives in water using online headspace solid phase microextraction coupled with gas chromatography-mass spectrometry

A simple online headspace solid-phase microextraction (HS-SPME) coupled with the gas chromatography-mass spectrometry (GC-MS) method was developed for simultaneous determination of trace amounts of nine estrogenic odorant alkylphenols and chlorophenols and their derivatives in water samples. The extraction conditions of HS-SPME were optimized including fiber selection, extraction temperature, extraction time, and salt concentration. Results showed that divinylbenzene/Carboxen/polydimethylsiloxane (DVB/CAR/PDMS) fiber was the most appropriate one among the three selected commercial fibers, and the optimal extraction temperature, time, and salt concentration were 70 °C, 30 min, and 0.25 g/mL, respectively. The developed method was validated and showed good linearity (R ²?>?0.989), low limit of detection (LOD, 0.002–0.5 μg/L), and excellent recoveries (76–126 %) with low relative standard deviation (RSD, 0.7–12.9 %). The developed method was finally applied to two surface water samples and some of these target compounds were detected. All these detected compounds were below their odor thresholds, except for 2,4,6-TCAS and 2,4,6-TBAS wherein their concentrations were near their odor thresholds. However, in the two surface water samples, these detected compounds contributed to a certain amount of estrogenicity, which seemed to suggest that more attention should be paid to the issue of estrogenicity rather than to the odor problem.