辉光放电等离子体氧化降解水中邻苯二甲酸二丁酯

研究了辉光放电等离子体降解水中典型的环境内分泌干扰物邻苯二甲酸二丁酯(DBP)及降解过程中过氧化氢(H2O2)的生成规律。考察了电解质种类、共存污染物(甲醇、叔丁醇)及催化剂等条件对DBP降解及H2O2生成的影响。结果表明,在硫酸钠溶液中DBP降解效率和H2O2生成速率最高;甲醇、叔丁醇等共存污染物对DBP降解和H2O2生成有抑制作用;Fe2+,Fe3+和Cu2+对DBP的降解有催化作用,其催化效果为Fe2+>Fe3+>Cu2+。用高效液相色谱、离子色谱及气质联用仪等仪器分析了降解中间产物,提出了可能的降解机理。     

新疆油田抽汲排液污染控制研究

抽汲排液存在抽汲设备和工具密封性差,对井场环境污染比较严重的问题,为解决抽汲排液对井场造成的污染,分别对抽汲钢丝绳的选择、试油井口防喷盒的密封以及试油抽汲作业规程及其它方面作了研究和应用,使抽汲排液对井场造成的污染得到了较好控制,符合新疆油田创建"绿色油气田"的要求。     

稠油污水回用锅炉处理工艺的应用

新疆油田公司稠油污水处理普遍采用成熟的离子调整旋流反应水处理技术,污水处理后达到回用锅炉水质标准SY/T 0097-2000《稠油油田采出水用于蒸汽发生器给水处理设计规范》,供给油田专用高压注汽锅炉用水。采用相同技术建成的采油一厂稠油处理站污水回用锅炉处理工艺投用后,处理后污水回用锅炉,减少了含油污水的外排,充分利用了稠油污水的热能,取得了良好的经济和社会效益。     

介质阻挡放电对湖泊水华蓝藻的去除

采用介质阻挡放电等离子体技术去除太湖水华蓝藻,考察了放电输出功率、空气流速、添加剂(异丙醇、腐植酸)等对蓝藻去除的影响。结果表明,介质阻挡放电能去除太湖水华蓝藻,放电功率100 W,空气流速1.0 L/min,放电18min,在光照强度2 000 lx和25℃下培养4 d,初始叶绿素a浓度为9.58 mg/L藻液中蓝藻去除率达87.8%。增加放电输出功率和空气流速能提高蓝藻的去除效率;腐植酸促进了介质阻挡放电对蓝藻的去除;而异丙醇添加剂抑制了介质阻挡放电的作用。放电处理后,蓝藻细胞内类胡萝卜素含量、SOD活性、MDA含量发生明显变化,介质阻挡放电破坏了蓝藻细胞内含物。     

雾化介质阻挡放电联合电晕放电对染料溶液脱色研究

实验将介质阻挡放电与电晕放电组合在一个反应器内,以靛蓝二磺酸钠溶液为实验废水,将高压电极上通入50Hz交流高压电,在常压空气中形成介质阻挡放电-电晕放电系统,放电产生的低温等离子体及其活性基团作用于染料分子。考察了电源电压、电极间距、处理时间对染料溶液脱色率和能量效率水平的影响,确定反应器工作状态为介质阻挡放电系统电极间距30mm、电晕放电系统电极间距25mm、电源电压20kV。     

介质阻挡放电联合催化臭氧化降解甲苯

采用介质阻挡放电区后结合MnOx/Al2O3/发泡镍去除甲苯,考察甲苯进气方式、臭氧产生方法及湿度对甲苯与O3同时去除的影响。结果表明,O3是等离子体区后催化降解甲苯的主要物种,介质阻挡放电联合催化臭氧化可实现甲苯及O3的同时高效去除。输入电压为9.0 kV时,甲苯的去除效率达92.8%,在80 min内O3的去除效率维持在99%以上。水蒸气对催化剂催化分解臭氧的活性没有直接的影响,O3浓度较高时湿度对甲苯降解效率的影响很小。GC-MS分析结果表明,甲苯降解的主要气相副产物有烷烃、酸、酮和含苯环有机物,提出了甲苯的降解途径。     

活性炭吸附和脱附-等离子体氧化净化有机废气的研究

根据滑动弧放电等离子体适于降解高浓度有机物废气的特性,结合活性炭吸附法,提出了吸附器的吸附浓缩和热脱附-等离子体氧化净化有机废气的方法。在活性炭吸附过程中,最初2 h内甲苯净化率达到100%,随着时间的增加净化率下降;在热脱附滑动弧放电等离子体净化过程中,甲苯降解效率最高为97.3%。将滑动弧放电等离子体反应器出口气相产物收集进行FT-IR检测,发现放电后有CO2、CO、H2O和NO2产生,并分析了甲苯的降解机理。     

Coupled radon, methane and nitrate sensors for large-scale assessment of groundwater discharge and non-point source pollution to coastal waters

We constructed a survey system of radon/methane/nitrate/salinity to find sites of submarine groundwater discharge (SGD) and groundwater nitrate input. We deployed the system in Waquoit Bay and Boston Harbor, MA where we derived SGD rates using a mass balance of radon with methane serving as a fine resolution qualitative indicator of groundwater. In Waquoit Bay we identified several locations of enhanced groundwater discharge, out of which two (Childs and Quashnet Rivers) were studied in more detail. The Childs River was characterized by high nitrate input via groundwater discharge, while the Quashnet River SGD was notable but not a significant source of nitrate. Our radon survey of Boston Harbor revealed several sites with significant SGD, out of these Inner Harbor and parts of Dorchester Bay and Quincy Bay had groundwater fluxes accompanied by significant water column nitrogen concentrations. The survey system has proven effective in revealing areas of SGD and non-point source pollution.     

Inferring coastal processes from regional-scale mapping of Radon and salinity: examples from the Great Barrier Reef, Australia

The radon isotope ²²²Rn and salinity in coastal surface water were mapped on regional scales, to improve the understanding of coastal processes and their spatial variability. Radon was measured with a surface-towed, continuously recording multi-detector setup on a moving vessel. Numerous processes and locations of land-ocean interaction along the Central Great Barrier Reef coastline were identified and interpreted based on the data collected. These included riverine fluxes, terrestrially-derived fresh submarine groundwater discharge (SGD) and the tidal pumping of seawater through mangrove forests. Based on variations in the relationship of the tracers radon and salinity, some aspects of regional freshwater inputs to the coastal zone and to estuaries could be assessed. Concurrent mapping of radon and salinity allowed an efficient qualitative assessment of land-ocean interaction on various spatial and temporal scales, indicating that such surveys on coastal scales can be a useful tool to obtain an overview of SGD locations and processes.     

基于AERMOD模式的固定源对不同楼层大气污染预测研究

环境影响评价中,大气污染预测通常考虑地面的浓度影响,对高层住宅楼不同楼层影响的考虑较少.通过案例设计,模拟4种不同的污染排放情景,采用预测推荐模式AERMOD分别计算各情景下5个代表高度共20种组合情况的预测受体结果,并基于三维可视仪软件VOXLER直观显示各情景污染物浓度的空间连续分布情况,对小时最大浓度的分布规律利用分析工具CANOCO进行了分析.结果表明:(1)污染源高为15～80 m时,不同楼层间小时浓度分布差异性较大;污染源高为120～240 m时,楼层间差异性较小.(2)污染源高为15m时,小时最大浓度以50 m为分界线随楼层高度的增加先增后降;污染源高为80～240 m时,小时最大浓度随楼层高度的增加而增加.