大体积垃圾露天堆肥试验

通过进行大体积露天垃圾堆肥试验，证明大体积鲜垃圾露天单元式堆肥，是在堆温、养分及卫生学等各项指标均达到国家标准的厌氧高温堆肥     

弹药环境适应性设计需要考虑的几个问题

环境适应性是装备(产品)的重要质量特性之一.弹药是武器装备的重要组成部分,弹药的环境适应性好,其储存寿命就长,反之则短.弹药的环境适应性不但涉及加工制造,更主要的在于研制过程中的环境适应性设计.在研制过程中,弹药环境适应性设计不但需要考虑温度、湿度等主要的环境因素,还需要特别重视材料、涂镀层、部件的耐蚀、耐老化性能,材料间的相容性,包装的影响等问题.为了提高弹药环境适应性的设计水平,还需要开展弹药的自然环境试验和加速老化试验,研究弹药的环境适应性.建议开展弹药的环境试验、研究,切实提高弹药的环境适应性设计水平.     

铜管模拟输配系统中氯胺衰减过程与模拟

研究了氯胺在铜管模拟输配系统中的衰减过程,并利用一级反应动力学模型对氯胺衰减规律进行了模拟;考察了pH、初始氯胺浓度等水质条件与流速等水力条件对氯胺衰减速率的影响.结果表明,pH值是影响氯胺衰减速率与金属铜溶出的重要因素,pH越低氯胺衰减越快;提高氯胺初始浓度可加快氯胺衰减速度,也可增加金属铜的溶出量;流速对氯胺衰减速率的影响不大.此外,衰减动力学过程模拟结果表明,采用一级反应动力学模型可以较好地拟合不同条件下的氯胺衰减规律.从而对于工程中不同条件下消毒剂浓度预测具有重要意义.     

新疆南疆部分地面饮用水的致突变性研究

饮用水的致突变性和潜在致癌危害是环境科学研究的重要内容,新疆南疆地区,除少数城市居民饮用自来水外,绝大多数农垦、牧区均以当地的河水、泉水和涝坝水等地面水为主要的饮用水源。为了解这些饮用水的致突变和潜在致癌危害,我们特在枯水季节,从具有代表性的塔什库尔干县某地的泉水(下称泉水)、河水(下称河水)、疏勒县城的深井     

固定化荧光假单胞菌降解阴离子表面活性剂的研究

用海藻酸钠法包埋适冷性微生物荧光假单胞菌株AIS-11,并用于处理阴离子表面活性剂废水,所有实验均在批式反应器中进行。以L_9(3~4)正交试验确定了其对阴离子表面活性剂十二烷基硫酸钠(SDS)和十二烷基苯磺酸钠(SDBS)的最佳包埋条件,并且对游离细胞和固定化菌体的降解过程进行了动力学分析和比较。结果表明,固定化珠体能将吸附和生物催化过程有机地耦联起来,有效地提高了阴离子表面活性剂的降解速率,将底物最大利用速度(mg/L·h)从游离细胞的5.75(SDS)和5.12(SDBS)分别提高至22.89和25.14。     

室内空气中甲醛和苯系物检测与净化

通过对哈尔滨市装饰装修竣工一年内的60户室内空气污染物检测分析,结果表明:室内空气甲醛超标64.1%,苯超标54.1%,甲苯超标35.6%,二甲苯超标30.6%.采用臭氧法,光催化氧化法和药剂法三种方法对室内空气污染物甲醛和苯进行净化效果实验研究,评价其净化效果,比较了三种方法的优劣.     

2A12铝合金在模拟溶液中的周浸腐蚀行为

采用干湿周浸实验、失重法和电化学阻抗谱研究了2A12铝合金在0.6mol/L NaCl和0.6mol/L NaCl 0.02mol/L NaHSO3两种溶液中的腐蚀行为与规律, 利用扫描电镜(SEM)、能谱(EDX)和红外光谱(FTIR) 观察分析腐蚀产物表面形貌、结构和组成,测试了材料的力学性能.研究表明,随腐蚀时间的延长,腐蚀产物不断增多,失重增加,力学性能下降,阻抗模值逐渐减小;腐蚀产物形貌以团状和块状为主,在0.6mol/L NaCl溶液中腐蚀产物主要为铝的氯化物和氧化铝,在0.6mol/L NaCl 0.02mol/L NaHSO3溶液中腐蚀产物主要为氧化铝、铝的硫酸盐水合物和铝的氯化物;由于NaCl和NaHSO3共同作用,2A12合金在0.6mol/L NaCl 0.02mol/L NaHSO3溶液中腐蚀电流密度高,阻抗模值相对较小,腐蚀速率较高,腐蚀后失重大,力学性能下降幅度较大,腐蚀更严重.     

加速寿命试验与高加速寿命试验的比较分析

介绍了加速寿命试验、高加速寿命试验的基本概念、原理,从试验目的、试验方法、试验时间等方面对加速寿命试验和高加速寿命试验进行了比较,说明它们有不同的应用时机和范围.加速寿命试验、高加速寿命试验都是卓越的加速环境试验技术,也是可靠性试验领域的两个主要发展方向.     

Effect of soil solids concentration in batch tests on the partition coefficients of organic pollutants in landfill liner-soil materials

 The effect of the soil solids concentration in batch tests on the measured values of the partition coefficient (K _p) of organic pollutants in landfill liner-soil material was investigated. Since this study was based on the results of batch and column tests conducted independently, there were limitations to the conclusions derived. The organic compounds tested were benzene, methylene chloride, toluene, trichloroethylene, and p-xylene. The results of this study showed that as soil solids concentrations increased, the measured K _p values of these organic compounds strongly decreased. The observed values of K _p stabilized when the soil solids concentration was above a certain value. Typical K _p values obtained from batch tests conducted under high soil solids concentrations were close to those obtained from column tests. It was concluded that the K _p values of organic compounds measured under low soil solids concentrations, i.e., less than 100 g/l, may not correctly simulate the field situation. Consequently, the values of K _p obtained with low soil solids concentrations can result in an overestimation of the retardation factor of the landfill liner material. Received: March 14, 2002 / Accepted: August 25, 2002     

ANALYZING CORRELATIONS BETWEEN STREAM AND WATERSHED ATTRIBUTES1

ABSTRACT: Bivariate correlation analysis has been widely used to explore relationships between stream and watershed attributes that have all been measured on the same set of watersheds or sampling locations. Researchers routinely test H₀: ρ= 0 for each correlation in a large table and then go on to discuss only those that are declared “significant.” Such test results are inaccurate because no allowance is made for multiple testing, and also because the tests are not mutually independent. This paper reviews the Bonferroni approach to controlling the overall error rate in multiple testing and shows how the approach becomes impractical for large correlation tables. The Hotelling/Williams test is introduced for comparing two dependent correlations that share a variable, and numerical constraints for two such correlations are illustrated. References are also given for testing other hypothesized patterns among dependent correlations, and links to dependent correlation software are provided. The methods are illustrated for watershed and stream variables sampled in 23 small agricultural watersheds of the Willamette Valley, Oregon.