TEOM法与实验室称重法监测大气中TSP的对比研究

用数理统计的方法计算出TEOM法与称重法监测结果的偏差,用F检验法检验TEOM法与称重法监测结果之间的致性,用r检测法检验TEOM法与称重法监测结果之间的相关性,用t检验法检验TEOM法与称重法监测结果之间的差异,通过对比研究,找出TEOM法与称重法之间的相互关系和规律。     

强化混凝去除微污染原水胶体颗粒的研究

对珠江水系统进行了强化混凝处理,燕利用准弹性激光散射技术（PCS）对常规混凝和强化混凝前后水中胶体颗粒（小于0.45um)的大小与分布进行了测定,探讨了搅拌条件对混凝效果的影响。     

推行清洁生产 预防工业污染

推行清洁生产是环境保护政策政策的发展趋势,是协调经济发展与环境保护的重要对策。文章综述了末端治理存在的种种弊端,提出了实现清洁生产的主要途径。     

青海湖几种主要湿地植物的种群分布格局及动态

应用种群生态空间分布的分析方法,研究了青海湖四种主要湿地植物：杉叶藻（Hippuris vulgaris)、槽杆荸荠（Eleocharis valleculosa)、华扁穗莞（Blysmus sinocompresus)、碱蓬（Suaeda glauca)的空间分布格局及其动态,研究表明：杉叶藻、槽杆荸荠、华扁穗莞三种群由侵入期、定期初期到种群发育盛期的过程中,其集群程度先增大后减小,总体呈扩散的趋势;碱蓬种群,从幼苗到繁殖期,集群程度增大,呈聚集的趋势,说明前三种植物的克隆繁殖方式于滨湖湿地生境具有更好的生态适应性,图2表3参11     

杀虫单降解菌的筛选分离与降解特性研究

从农药厂废水排放沟污泥中分离到一株对杀虫单有较强降解能力的菌株LY－4,经鉴定为巨大芽孢杆菌（Bacillus megaterium)。其生长的最适pH为7,最适温度为30℃。该菌对杀虫单有很强的耐受性,在杀虫单浓度ρ＝5000mg/L时,仍能较好地生长并发挥降解作用。当杀虫单初始浓度高于一定值时,一定量的菌剂对杀虫单的降解率随底物浓度的提高而降低,而绝对去除量则随底物浓度的提高而提高。与不加菌的对照相比,加入LY－4后,可使杀虫单浓度在很短的时间内降到很低的水平。图5表1参6     

贵州省煤中挥发性和半挥发性微量元素分布规律的初步研究

研究了贵州省四大煤田不同层位、不同煤种中Hg,As,Se,Pb,Cd,Tl,Zn,Sb等挥发性和半挥发性微量元素的分布规律。贵州省原煤中Hg,As,Se,Pb,Cd,Sb等元素的含量高于地壳克拉克值;Tl,Zn等的含量低于地壳克拉克值;另外,除了Pb,Zn外,贵州省原煤中Hg,As,Se,Cd的含量远远高于东北和内蒙古东部地区。微量元素聚类分析结果表明,Hg,As,Sb可能主要分布于煤的黄铁矿中;Zn和Se可能主要赋存于闪锌矿中;Cd可能部分存在于硫化物中,部分存在于硅酸盐矿物相中;Pb可能主要存在于硅酸盐矿物相中;而Tl在煤中的赋存形式较复杂。     

上海市环境空气质量监测体系规划设计

简述了上海市环境空气质量监测的历史和现状,指出了环境空气质量监测发展需求,构建了上海市空气质量监测系统规划框架;提出应构建上海市环境综合信息和公共数据平台,建设发展地基遥感探空、空基和天基遥感反演技术,建立长三角区域大气复合污染监测体系。     

环境气体标准样品量值的计算及不确定度分析

依据《气体分析校准气体混合物的制备重量法》（1SO6142—2001）和《气体分析气体标准样品组成的测定和校验比较法》（ISO6143—2001）,阐述了环境气体标准样品不同定值方法的量值计算及不确定度来源,并比较了同一气体标准样品采用不同定值方法得到的不同量值结果及不确定度：     

Behaviour of selected endocrine-disrupting chemicals in three sewage treatment plants of Beijing, China

Occurrence and fate of eight kinds of selected endocrine-disrupting compounds (EDCs) in three sewage treatment plants (STPs) of Beijing, China was investigated. These EDCs, composed of 4-octylphenol (4-OP), 4-n-nonylphenol (4-n-NP), bisphenol A (BPA), estrone (E1), 17α-estradiol (17α-E2), 17β-estradiol (E2), estriol (E3) and 17α-ethinylestradiol (EE2), in every step of STPs, were simultaneously analysed by gas chromatography/mass spectrometry after derivatisation. All the EDCs were detected in the influents of three STPs, and BPA was the most abundant compound. The concentrations of EDCs ranged from 36.6 ng/l of 17α-E2 (STP C) to 1342.3 ng/l of BPA (STP B) in the influent sewages and from below limits of detection of E2 and E3 (STP C) to 142.5 ng/l of E1 (STP B) in the effluent sewages. The STPs could not remove alkylphenols effectively from the aqueous phase with less than 40% reduction. BPA decreased over 90%, and steroid estrogens achieved considerable reductions from 64.8% of E2 to 94.9% of E3. Generally, biological treatment was more effective in removing alkylphenols, BPA and natural estrogens from the aqueous phase than primary treatment. However, the synthetic estrogen, EE2, was mostly removed by the primary treatment with about 63.5% reduction. It is the first time that the concentration of 17α-E2 in the sewage of China was reported in this paper. The compound might have a bearing with the waste effluents of dairy farms around urban area of Beijing.     

Application of CMB model for source apportionment of polycyclic aromatic hydrocarbons (PAHs) in coastal surface sediments from Rizhao offshore area, China

Polycyclic aromatic hydrocarbons (PAHs) in coastal surface sediments from Rizhao offshore area were analyzed by gas chromatography–mass spectrometry. A chemical mass balance (CMB) model developed by the U.S. Environmental Protection Agency (EPA), CMB8.2, was used to apportion sources of PAHs. Seven possible sources, including coal residential, coal power plant, diesel engines exhaust, gasoline engines exhaust, coke oven, diesel oil leaks, and wood burning, were chosen as the major contributors for PAHs in coastal surface sediments. To establish the fingerprints of the seven sources, source profiles were collected from literatures. After including degradation factors, the modified model results indicate that diesel oil leaks, diesel engines exhaust, and coal burning were the three major sources of PAHs. The source contributions estimated by the EPA’s CMB8.2 model were 9.25%, 15.05%, and 75.70% for diesel oil leaks, diesel engines exhaust, and coal burning, respectively.