Performance evaluation of a sorbent tube sampling method using short path thermal desorption for volatile organic compounds

Air sampling, using sorbents, thermal desorption and gas chromatography, is a versatile method for identifying and quantifying trace levels of volatile organic compounds (VOCs). Thermal desorption can provide high sensitivity, appropropriate choices of sorbents and method parameters can accommodate a wide range of compounds and high humidity, and automated short-path systems can minimize artifacts, losses and carry-over effects. This study evaluates the performance of a short-path thermal desorption method for 77 VOCs using laboratory and field tests and a dual sorbent system (Tenax GR, Carbosieve SIII). Laboratory tests showed that the method requirements for ambient air sampling were easily achieved for most compounds, e.g., using the average and standard deviation across target compounds, blank emissions were < or = 0.3 ng per sorbent tube for all target compounds except benzene, toluene and phenol; the method detection limit was 0.05 +/- 0.08 ppb, reproducibility was 12 +/- 6%, linearity, as the relative standard deviation of relative response factors, was 16 +/- 9%, desorption efficiency was 99 +/- 28%, samples stored for 1-6 weeks had recoveries of 87 +/- 9%, and high humidity samples had recoveries of 102 +/- 12%. Due to sorbent, column and detector characteristics, performance was somewhat poorer for phenol groups, ketones, and nitrogen containing compounds. The laboratory results were confirmed in an analysis of replicate samples collected in two field studies that sampled ambient air along roadways and indoor air in a large office building. Replicates collected under field conditions demonstrated good agreement except for very low concentrations or large (> 41 volume) samples of high humidity air. Overall, the method provides excellent performance and satisfactory throughput for many applications.     

浅谈GAM与GM（1,1）模型

对ＧＡＭ水环境预测模型提出了四点不同看法，与有关作者商榷，指出ＧＭ（１，１）模型与ＧＡＭ模型二者并无优劣之差，精度亦相当。     

关于"生态监测"之思考

对生态监测的目的、含义、监测内容及与环境监测的关系进行了探讨。     

珍贵油料植物诸葛菜的研究

四川大学植物遗传研究室经过几年的调查研究,发现诸葛菜的农艺性状较好,分枝多、角果多,每果子粒多,千粒重较重,含油量较高,特别是油分品质优异,其营养价值高的脂肪酸如油酸和亚油酸的含量较高,分别为20.32％,和53.17％,其营养价值低的脂肪酸如亚麻酸和芥酸的含量较低,分别为4.76％和0.94％,是油菜优质育种的优异新种源,可以作为油菜远缘杂交育种亲本,并可能选育出优质油料新作物。本文对诸葛菜的开花授粉习性作了观察,对核型特点作了分析,可供育种工作的参考,诸葛菜主产中国。四川大学在国内外首先推荐这种有希望的油料新种源。     

New method for determination of arsenic contentin tail gases during semiconductor processing

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Multimedia model of atrazine in plant-soil-groundwater system with a fugacity approach

ＩｎｔｒｏｄｕｃｔｉｏｎＣｏｎｔａｍｉｎａｔｉｏｎｏｆｅｄｉｂｌｅｖｅｇｅｔａｔｉｏｎｂｙｐｅｒｓｉｓｔｅｎｔ,ｕｂｉｑｕｉｔｏｕｓｃｈｅｍｉｃａｌｓｓｕｃｈａｓＰＣＢｓ,ｄｉｏｘｉｎｓ,ｐｅｓｔｉｃｉｄｅｓ,ａｎｄｈｅｒｂｉｃｉｄｅｓｐｒｏｖｉｄｅｓａｍａｊｏｒｅｘｐｏｓｕｒｅｒｏｕｔｅｔｏｈｕｍａｎｓ ,ｄｏｍｅｓｔｉｃａｎｉｍａｌｓａｎｄｗｉｌｄｌｉｆｅ .Ｕｐｔａｋｅｏｆｔｈｅｓｅｏｒｇａｎｉｃｃｈｅｍｉｃａｌｓｂｙｐｌａｎｔ,ａｎｄｓｕｂｓｅｑｕｅｎｔｄｉｓｔｒｉｂｕｔｉｏｎｉｎｔｈｅｐｌａｎ…     

活性污泥法的多变量最优控制Ⅲ.限制最高和同时限制平均与最高出水BOD浓度

在前文的基础上,进一步研究了更常用的在限制最高和同时限制平均与最高出水有机物浓度两种排放标准的约束条件下,使其运行费用最省的最优周期控制问题.计算结果都表明,最优控制变量QW和DO的变化规律都尽可能使其满足约束条件和节省运行费用,但是,当进水负荷变化幅度非常大时,任何控制也难于使出水水质达标,而运行费用还会大幅度增大.相对而言,同时限制平均与最高出水BOD浓度是更合理的排放标准,它既有利于污水处理厂的运行管理又能有效地保护受纳水体.初始状态S(0)对最优控制的影响不大.而X(0)的影响较大,在本研究中,X(0)的最优值在2400-2600mg/L范围内.     

以监测预报工作为导向推进数字化监测教学

地震预测的发展方向,是从协同的观点,多层面地统筹考虑地震监测体系的建设,实现基础研究与实际地震预测工作的结合.本文从如何利用原有监测资料、连续前兆监测数据处理系统的建立、前兆监测体系数据报送体系等地震监测工作环节,分析地震监测教学如何与监测工作方向相一致,并对教学改革如何结合台站技术人员更新提出了几点看法.     

后扣板冷挤压工艺及模具

此文分析了产品成形的特点,模具承载的负荷特点,从而在成形工艺上、润滑上、模具结构及选材上采取了相应的措施.用H-4水基高分子润滑剂和3Cr2W8V制作冷挤压模都取得了明显效果.     

新加坡控制汽车排放污染的经验

汽车，作为现代文明的产物一经出现便得到了迅猛的发展，给世界带来了动感，给人们的生活带来了便捷和舒适，但与此同时也给我们赖以生存的环境带来了越来越严重的空气污染。资料表明，发达国家城市空气污染中曾经主要来源于汽车的排放，在汽车密度大的国家和地区，汽车排放污染成为严重的社会公害，有些国家还发生了光化学污染事件，