河北省海岸带土壤盐渍化研究

在当今土地资源日益短缺的年代,作为一种土地资源,盐渍化土地越来越重要,越来越受到社会的普遍关注。本文通过分层采集土样,对整个河北省海岸带的土壤盐渍化进行了研究,在借鉴国内外先进经验的基础上,提出了土壤盐渍化防治和综合利用应视各国、各地具体情况而定,并指出盐渍土未来的研究趋势应以利用新技术、探寻新的改良方法及与农业生态和环境保护研究密切线合这三个方面为主。     

微波无极紫外光催化-内电解协同降解活性艳红X-3B

采用微波无极紫外光源,以活性炭作为光催化剂TiO2的载体,与外加铁屑构成内电解反应,处理活性艳红X-3B模拟废水.实验结果表明,微波无极紫外光催化-内电解法对活性艳红X-3B的降解速率是微波无极紫外光催化和微波-内电解法单独作用时降解速率之和的2倍.在活性艳红X-3B模拟废水初始pH为7、空气曝气量为0.50 L/min、铁屑加入量为5 g/L、反应温度为40～45℃的最佳条件下,微波无极紫外光催化-内电解法的活性艳红X-3B模拟废水色度去除率达100%,TOC和可吸附有机卤化物的去除率分别为69.5%和81.8%.     

四氯化钛精制除钒废弃物的综合利用

对四氯化钛铜丝除钒精制过程中产生的废弃物,采用酸碱联合法回收其中的铜和钒。考察了关键的碱处理及盐酸沉钒过程的影响因素。实验结果为：在碱处理溶液pH12．0—13．0,碱处理温度60℃,碱处理时间1h,沉钒溶液pH1．0～1．5,沉钒温度60℃,沉钒时间1h的条件下,铜和钒的回收率分别达到90％和75％以匕,获得的阴极铜和五氧化二钒的产品质量均达到国家标准。     

膜生物反应器中溶解性微生物产物特性的研究进展

溶解性微生物产物是制约生物处理出水达标和回用的主要污染物,处理工艺和操作条件的不同可能造成其特性差异。阐述了溶解性微生物产物的定义和产生机制,对膜生物反应器中溶解性微生物产物的组成、分子质量分布、亲水／疏水性、螯合性和毒性进行了概述,分析了影响其产生、特性和去除的因素。由于膜的截留作用使溶解性微生物产物在膜生物反应器中积累,容易引起膜污染。可以通过优化操作条件,减少溶解性微生物产物的产生,提高出水水质,有效地抑制膜污染。     

累托石对水中染料碱性桃红的吸附

采用累托石作为水中碱性桃红的吸附剂.考察了振荡时间、pH值、累托石用量、碱性桃红初始浓度等因素对吸附效果的影响.测定了吸附等温线,对吸附动力学规律进行了数学模拟.结果表明,振荡时间、累托石用量、碱性桃红初始浓度等因素对吸附效果有重要影响.对于初始质量浓度为50 mg/L的碱性桃红水溶液,最适宜吸附条件为:振荡时间30 min,累托石用量200 mg/100 mL,pH值为6.累托石对水中碱性桃红的吸附等温线呈"S"型,等温吸附规律可用Freundlich模式较好地描述,吸附动力学规律可用Bangham公式模拟.     

自动喷水灭火系统喷水强度概率分布特性及其控火性能研究

喷水强度是体现自动喷水灭火系统控火能力的重要参数,具有不均匀性和不确定性.传统的喷水强度设计主要考虑喷头的流量和保护面积,没有考虑其分布特性,对系统控火性能的影响.因此本文将喷水强度分布特性引入自动喷水灭火系统的控火性能研究.以公称口径为15 mm的传统下垂型玻璃球洒水喷头的喷水强度分布实验为基础,建立了包含径向距离和喷头工作压力等参数的喷水强度分布模型,采用蒙特卡罗方法获得了喷水强度的概率分布特性.参照不同危险等级场控火所需的喷水强度参数和不同喷头开启个数下的有效控火百分比,分析了喷水强度概率分布特性对控火性能的影响.研究结果表明,喷水强度概率分布特性对控火性能有重要影响,随径向距离的增加,喷水强度出现较小值的概率增大,控火性能下降,在某些危险较大的场所不能达到控火作用.对于同一危险等级场所,控火性能随着喷头安装间距减小而增强.研究方法可为合理评估喷头适用范围、优化喷头布置提供参考.     

复合式吸收器采样还原一体化冷原子吸收法测定大气中的汞

目的研制一种高效率采集大气中汞的吸收器.方法利用一种集大泡式与玻砂板式吸收器为一体的复合式吸收器采样,并使采样还原一体化冷原子吸收法测定大气中汞.结果平均吸收率为96%,变异系数在4%～12%之间.结论复合式吸收器采样吸收效率高,适合于大气中微量汞的测定.     

The concentrations, distribution and sources of PAHs in agricultural soils and vegetables from Shunde, Guangdong, China

The concentrations, distribution and sources of 16 polycyclic aromatic hydrocarbons (PAHs) were determined in 30 agricultural soil and 16 vegetable samples collected from subtropical Shunde area, an important manufacturing center in China. The total PAHs ranged from 33.7 to 350 μg/kg in soils, and 82 to 1,258 μg/kg in vegetables. The most abundant individual PAHs are phenanthrene, fluoranthene, chrysene, pyrene and benzo(b)fluoranthene for soil samples, and anthracene, naphthalene, phenanthrene, pyrene and chrysene for vegetable samples. Average vegetable–soil ratios of total PAHs were 2.20 for leafy vegetables and 1.27 for fruity vegetables. Total PAHs in vegetable samples are not significantly correlated to those in corresponding soil samples. Principal component analyses were conducted to distinguish samples on basis of their distribution in each town, soil type and vegetable specie. Relatively abundant soil PAHs were found in town Jun’an, Beijiao, Chencun, Lecong and Ronggui, while abundant vegetable PAHs were observed in town Jun’an, Lecong, Xingtan, Daliang and Chenchun. The highest level of total PAHs were found in vegetable soil, followed by pond sediment and “stacked soil” on pond banks. The PAHs contents in leafy vegetables are higher than those in fruity vegetables. Some PAH compound ratios suggest the PAHs derived from incomplete combustion of petroleum, coal and refuse from power generation and ceramic manufacturing, and paint spraying on furniture, as well as sewage irrigation from textile industries. Soil PAHs contents have significant logarithmic correlation with total organic carbon, which demonstrates the importance of soil organic matter as sorbent to prevent losses of PAHs.     

Development of an integrated sensor to measure odors

Odorous air samples collected from several sources were presented to an olfactometer, an electronic nose, a hydrogen sulfide (H(2)S) detector and an ammonia (NH(3)) detector. The olfactometry measurements were used as the expected values while measurements from the other instrumentation values became input variables. Five hypotheses were established to relate the input variables and the expected values. Both linear regression and artificial neural network analyses were used to test the hypotheses. Principal component analysis was utilized to reduce the dimensionality of the electronic nose measurements from 33 to 3 without significant loss of information. The electronic nose or the H(2)S detector can individually predict odor concentration measurements with similar accuracy (R (2) = 0.46 and 0.50, respectively). Although the NH(3) detector alone has a very poor relationship with odor concentration measurements, combining the H(2)S and NH(3) detectors can predict odor concentrations more accurately (R (2) = 0.58) than either individual instrument. Data from the integration of the electronic nose, H(2)S, and NH(3) detectors produce the best prediction of odor concentrations (R (2) = 0.75). With this accuracy, odor concentration measurements can be confidently represented by integrating an electronic nose, and H(2)S and NH(3) detectors.     

G C/MS法测定环境空气中痕量POPs类有机氯农药及降解产物

采用快速溶剂萃取-氟罗里硅土柱净化-气相色谱/质谱联用法测定环境空气中POPs类有机氯农药及其降解产物.艾氏剂、狄氏剂、异狄氏剂、六六六、滴滴涕,七氯、氯丹、灭蚁灵及其降解产物的检出限为2.0 ng～4.6 ng,空白加标回收率为62.1%～118%,RSD为6.8%～15.2%.