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。     

Effect of inoculation methods on the composting efficiency of municipal solid wastes

Four types of inoculation methods were studied during the composting of municipal solid wastes and dry grass (MSWG). The methods included a control group as well as initial-stage, two-stage, and multi-stage inoculations. Fulvic acids were extracted from the composting materials and characterized by spectroscopic techniques. The results showed that inoculation of microbes in MSWG enhanced the biodegradation of aliphatics, proteins, and polysaccharides. The inoculation also increased the molecular weight, humic- and fulvic-like compound content, as well as humification degree of the composting products. The inoculation of microbes in MSWG significantly improved composting process and efficiency. The improvement efficiency was in the order of initial-stage < two-stage < multi-stage inoculations. Inoculation of microbes based on composting organic matter composition and temperature enhanced composting efficiency.     

长三角地区城市居民出行交通碳排放特征与影响机理

随着能源问题及全球变化关注,城市居民出行交通碳排放研究已成为多学科关注焦点。选择南京、宁波和常州作为长三角典型城市,基于典型居住小区问卷调查获取第一手的城市居民出行基础数据,估算与分析城市居民出行碳排放特征及影响机理。结果表明：长三角2010年城市居民人均出行交通碳排放约1 1219 kg CO2/人,日常通勤和远距离出行碳排放量之比为75[DK]∶25;城市居民日常通勤交通碳排放的主要影响因子为交通方式、出行距离、家庭年收入、年龄和性别;远距离出行交通碳排放的主要影响因子为出行距离、交通方式和家庭年收入。建议采用差别化的行政干预和经济杠杆有效调控家庭小汽车保有量增长速度,鼓励小排量汽车和清洁能源汽车消费,兼顾汽车产业发展、家庭小汽车刚性需求与节能减排需求之间的博弈平衡;优化城市功能格局,大力发展公共交通网络;加强节能减排与低碳意识宣传,鼓励与引导公共交通出行     

水位波动带氮素迁移转化规律

为考察水位波动对非饱和-饱和土层中氮素迁移转化的影响,设计土柱实验装置Ⅰ和Ⅱ分别模拟水位稳定与波动两种情景,测定一个水位波动周期内地下水中NO₃^--N、NO₂^--N和NH₄⁺-N浓度变化情况。结果表明,柱Ⅱ水位第1次下降柱内1^#,2^#,3^#,4^#采样点NO₃^--N浓度均增大,增幅分别为6.5%、14.9%、15.33%和19.8%。水位上升时结果相反,分别降低17.3%、26.15%、50.29%和44.61%。第2次水位下降至初始位置4个采样点NO₃^--N浓度再次增大,幅度分别为7.1%、10.6%、13.89%和7.76%。铵态氮呈相反趋势不同程度的变化。水位波动柱Ⅱ连通水槽内总氮量增加显著高于柱I水槽,即水位波动有利于波动带地下水中氮素垂向迁移,加重波动带以下地下水硝酸盐污染。因此,水位波动对氮素迁移转化的影响不容忽视。     

湿地生态系统基质重金属积累与酶活性的研究现状

湿地生态系统具有净化污水的功能,因其具有高效低耗等优点,在污水处理方面极具开发应用前景,而基质作为湿地生态系统重要组成部分,已成为众多学者的研究热点。本文综合分析了湿地生态系统基质中重金属积累和酶活性的时空分布及影响因素的研究现状,并对相关研究提出了新的认识与展望,以期为湿地生态系统基质去除废水中重金属的深入研究和应用提供综合分析资料。     

实验室率定法测算长江南通段污染物降解系数

污染物降解系数是确定水环境容量的关键参数之一,本文采用实验室率定法,采集长江南通段的水样,分别于6℃、10℃、16℃、20℃室温下,在实验室内进行周期为20天的室内水质分析,根据室内水质分析结果,测算出不同温度下长江南通段"十二五"减排的约束性指标化学需氧量、氨氮的降解系数,并定性分析了长江水体中污染物本底浓度、可生化性、pH值等环境因子对污染物降解系数可能发生的影响。     

响应面法和神经网络优化Acinetobactersp．DNS32发酵基质

为了提高阿特拉津降解菌Acinetobactersp．DNS32的产量,分别采用响应曲面法和基于人工神经网络的遗传算法对阿特拉津降解菌DNS32发酵培养基中3个重要基质成分（玉米粉、豆饼粉、K：HPO。）进行优化研究。响应曲面法确定3种成分的含量为玉米粉39．494g／L,豆饼粉25．638g／L和K。HPO。3．265g／L时,预测发酵活菌最大生物量为7．079×10^8CFU／mL,实测量为7．194×10^8CFU／mL;人工神经网络结合遗传算法优化确定3种主要成分含量为玉米粉为39．650g／L,豆饼粉为25．500g／L,K2HPO4为2．624g／L时,预测最大值为7．199×10^8CFU／mL,实测量为7．244×10。CFU／mL;最终确定培养基配方：玉米粉为39．650g／L,豆饼粉为25．500g／L,K2HPO4为2．624g／L,CaCO3为3．000g／L,MgSO4·7H2O和NaCl均为0．200g／L;优化后阿特拉津降解菌DNS32发酵生物量比优化前提高了36．6％。结果表明,在阿特拉津降解菌DNS32发酵培养基组分优化方面,响应面法和基于人工神经网络的遗传算法都是可行的,基于人工神经网络的遗传算法具有更好的拟合度和预测准确度。     

深型地下土壤渗滤系统中氮的去除途径

为了系统研究氮在深型地下土壤渗滤系统中的去除途径,本次实验采用直径30cm,高200cm的有机玻璃柱模拟地下土壤渗滤系统;柱内分层装填取自北京顺义的土壤。在水力负荷为8cm／d的条件下,取得了较好的脱氮效果;氨氮去除率为99．80％;TN去除率为83．68％。通过观察氮沿土柱深度的变化规律发现,在1．30m以上的区域随着氨氮浓度的降低硝氮浓度逐渐增大,同时总氮浓度也在不断降低,约有30．55％在此区域被去除;通过氮元素质量平衡证明这部分氮是通过厌氧氨氧化反应去除的。在1．30m以下反硝化反应是脱氮的主要途径,在此过程中难降解有机物被利用。     

Characterizing effects of uncertainties in MSW composting process through a coupled fuzzy vertex and factorial-analysis approach

A coupled fuzzy vertex and factorial-analysis approach was developed in this study for systematically characterizing effects of uncertainties in a municipal solid waste composting process. A comprehensive composting process model was also embedded into the system framework and used to address substrate decomposition and biomass growth, as well as the interactions between moisture contents, temperatures, and oxygen concentrations. The applicability of the proposed method was verified through a custom-made pilot-scale composting system. Results from fuzzy simulation indicated that the fuzzy vertex method could effectively communicate implicit knowledge into dynamic simulations and thus provide valuable information for enhancing composting process control under uncertainty. The factorial analysis was effective in quantifying the proportion to which the uncertainty of each single or interactive effect of model parameters contributes to the overall uncertainty of the system outcomes. Thus, sensitive parameters that may lead to errors or unreasonable predictions can be determined. The proposed study system could not only be used in characterizing combined effects of uncertainties for composting processes, but was also applicable to many other environmental modelling systems.