再论水土流失对洪涝灾害和经济发展的影响

生态系统是一个物质循环和能量转化的动态系统，具有生产性、稳定性和持续性三大特征，在一定的时空条件下，生态系统中能量、物质、信息和生物群落特征具有一种自我调节能力，并达到一种相对平衡状态，一旦有外力介入平衡的生态系统，原有的平衡就会被破坏，系统支荡调节达到新的平衡及崩溃，１９９８年洪灾实际是自然界失去平衡，大自然对人类的报复的一种形式，虽然有自然因素的影响，但水土流失而引发的一系列破坏生态环境的造成     

酒泉市城区环境结构的遥感分析及城市环境质量评价

本文采用遥感技术，利用彩红外片提取城市建筑，交通、绿地三大空间信息，最后从城市环境结构的非生态化角度进行城市质量评价。这是一种新的尝试，亦为环境研究引入了一种快速而有效的方法。     

二极管阵列检测器及其应用

二极管阵列检测器是近几年发展的、不同于传统分析仪器所用的光电检测原理的一种新型检测器，这种检测配合计算机处理，可以在百分之一秒内给出被测组份的光谱以及各种定性定量数据，是一种“全息”的检测方式，文中将讨论二极管阵列检测器的构成，工作条件，性能及应用等问题，涉及光源，光导纤维，单色器，阵列元件操作条件等各个部分。     

改性模糊相似选择法在湖泊水质富营养化评价中的应用

针对模糊相似选择法建立模糊相似关系矩阵和入截矩阵计算量大的缺点，介绍了一种简便、等价的改进方法。根据模糊相似选择法的基本性质，提出一种新的湖泊水质富营养化综合评价方法。结合实例与其它方法进行了对比，得到基本一致的结果。     

生化需氧量测定的方法改进

生化需氧量测定中接种液的制备和稀释倍数的确定是2个关键的步骤，本文提出一种可行的制备接种液的方法，根据实践经验，总结出一种稀释倍数计算方法，适合在实际分析中使用。     

BP神经网络改进算法预测水质浓度的应用

探讨了黄河兰州段地表水水质浓度预测的BP神经网络法，建立了一种动态的、及时的、超前的BP神经网络预测模型。并在标准算法的基础上用2种改进算法同时进行比较。结果表明，改进的BP算法在水质浓度预测中更能胜任，时间短、准确度高。     

土壤重金属污染的灰色模糊评价

以灰色聚类为基础，提出了灰色模糊聚类分析法，并将其应用于土壤环境质量评价中，经实例分析表明，这是一种较为简便，合理、有效的评价方法。     

一次微波消解测定土壤中铬铜锌铅镉

测定土壤中铬、铜、锌、铅、镉多采用传统电热板加热消解方式进行样品处理，但不能同时一次消解．笔者尝试使用微波一次消解测定五种元素，试验结果令人满意．     

造纸废水治理投资效益及废物综合利用

介绍了一种造纸废水混凝－氧化处理新技术，其工艺合理、简易可行，治理投资可降低60％以上，运行费用降低50％。     

反渗透技术及其在水处理中的应用

反渗透是一种膜分离技术，文章介绍了反渗透的工作原理、发展和特点，主要介绍了反渗透技术在水处理中的运用情况．     

水中多种酚类化合物衍生化方法研究

对水中14种酚类化合物的衍生化过程进行研究，选取不同衍生化试剂、衍生温度和衍生时间、最大衍生量等多个对衍生效率有决定性影响的参数进行优化。通过上述条件的优化选择，实现了对苯酚、氯代酚、甲基酚和硝基酚等14种不同类型酚类化合物最优的衍生化，衍生效率达到75．5％～119％。     

Monitoring of Phenol in Wastewater Bioremediation by HPLC

Bioremediation emphasizes the detoxification and destruction of toxic substances by microorganisms. Wastewater obtained from an industrial concern was solvent extracted with methyl alcohol and dichloromethane and analysed by GC/MS. Besides phenol, a large variety of organic compounds were detected. Under controlled laboratory conditions, the wastewater was innoculated with a mixed culture of microorganisms specially selected for their abilities to degrade phenol. Samples were collected at regular intervals from the stirred tank bioreactor and analysed for phenol by reverse phase HPLC with a C18 column. Results shows that from an initial phenol concentration of 987 ppm, slightly more than 50% was destroyed within 163 hours. The dry weight of the microorganisms and the plate count (CFU/ml) shows a steady increase from 0.5238 gms to 0.5355 gms and from 1.1E+9 to 1.94E+13 respectively over the same period. This suggested that the phenol was consumed by the microorganisms as the sole carbon source.     

衍生气相色谱法在环境监测中的应用

衍生化气相色谱法就是利用化学反应改变目标化合物分子中的原子或官能团,通过检测新生产物对目标化合物进行气相色谱定性和定量分析,具有高灵敏度、良好的分离效果和绿色环保等优点。通过对衍生化与气相色谱联用在环境监测中特别是有机污染物的应用,具体介绍了该技术在醛酮类、酚类、酸类化合物及其他有机污染物分析中的应用及反应原理,并提出了该技术的注意事项及应用展望。     

Hydrocarbon Uptake by Roots of Vicia faba (Fabaceae)

Vicia faba was grown in crude oil polluted soil and its roots were extracted for the detection and estimation of hydrocarbons. Saturated and unsaturated Aliphatic Hydrocarbons (AHs) ranging from C₂₂ to C₃₆ were identified in AHs fraction. However, PAHs were not present in the same extract. This could be due to the fact that PAHs being toxic compounds are not accumulated in the plant root extracts of V. faba grown in crude oil polluted soil. Three phytoalexins were identified and estimated by mass spectrometric analysis in the root extracts of V. faba. These three compounds are 2-t-butyl-4-(dimethyl benzyl) phenol, 2, 4-bis (dimethyl benzyl) phenol and 2,4-bis (dimethyl benzyl)-6-butyl phenol. These phenolics in V. faba are being reported for the first time. These compounds are presumably elicited as a direct stress on crude oil hydrocarbons on the roots of this plant.     

Adsorption and detection of some phenolic compounds by rice husk ash of Kenyan origin

Rice husk ash (RHA) obtained from a rice mill in Kenya has been used as an inexpensive and effective adsorbent (and reagent) for the removal (and detection) of some phenolic compounds in water. The abundantly available rice mill waste was used in dual laboratory-scale batch experiments to evaluate its potential in: (i) the removal of phenol, 1,3-dihydroxybenzene (resorcinol) and 2-chlorophenol from water; and (ii) the detection of 1,2-dihydroxybenzene (pyrocatechol) and 1,2,3-trihydroxybenzene (pyrogallol) present in an aqueous medium. The studies were conducted using synthetic water with different initial concentrations of the phenolic compounds. The effects of different operating conditions (such as contact time, concentration of the phenolic compounds, adsorbent quantity, temperature, and pH) were assessed by evaluating the phenolic compound removal efficiency as well as the extent of their color formation reactions (where applicable). RHA exhibits reasonable adsorption capacity for the phenolic compounds and follows both Langmuir and Freundlich isotherm models. Adsorption capacities of 1.53 x 10(-4), 8.07 x 10(-5), and 1.63 x 10(-6) mol g(-1) were determined for phenol, resorcinol and 2-chlorophenol, respectively. Nearly 100% adsorption of the phenolic compounds was possible and this depended on the weight of RHA employed. For the detection experiments, pyrocatechol and pyrogallol present in water formed coloured complexes with RHA, with the rate of colour formation increasing with temperature, weight of RHA, concentration of the phenolic compounds and sonication. This study has proven that RHA is a useful agricultural waste product for the removal and detection of some phenolic compounds.     

固相萃取-高效液相色谱法测定饮用水中酚类化合物

采用固相萃取-高效液相色谱法测定饮用水中酚类化合物,优化了试验条件。方法在0 mg/L~40.0 mg/L范围内线性良好,14种酚类化合物的检出限为0.6μg/L~2.6μg/L,水样平行测定的RSD为0.2%~2.7%,加标回收率为96.3%~99.9%。     

水中多种酚类化合物同步提取方法研究

对水中14种酚类化合物的液液萃取过程进行研究,选取不同萃取溶剂体系、水样pH和盐析条件等多个对萃取效率有决定性影响的参数进行优化。通过上述条件的优化选择,实现了同步对包括低沸点的苯酚、一氯代酚及较难提取的甲基酚和硝基酚等14种不同类型酚类化合物最优的萃取,提取效率达到75.2%~110.3%。     

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.     

The potential of different bio adsorbents for removing phenol from its aqueous solution

The use of natural resources for the removal of phenol and phenolic compounds is being looked upon by researchers in preference to other prevailing methods. In the present study, different biosorbents, brown algae (Padina pavonia), fresh water macrophyta (Ceratophyllum demersum), and black tea residue, were tested as adsorbent for the removal of phenol from aqueous solutions. The optimum conditions for maximum adsorption in terms of concentration of the adsorbate and pH were identified. The results show that the initial concentration increases as the removal of phenol increases in C. demersum; in the case of the other two adsorbents, the initial concentration increases as the removal of phenol decreases, especially for an initial concentration lower than 100 and 1,000 μg/L for P. pavonia and black tea residue, respectively. Maximum percentage removal of phenol by each adsorbent is 77, 50.8, and 29 % for C. demersum, P. pavonia, and black tea residue, respectively. Also, the biosorption capacity was strongly influenced by the pH of the aqueous solution with an observed maximum phenol removal at pH of around 6–10. The first biosorbent (black tea residue) displays the maximum adsorption capacity at a pH of 10 with a percentage sorption capacity of 84 %; P. pavonia revealed a greater adsorption percentage at pH?10, reaching 30 %, while for C. demersum, the removal of phenol increases with the increase in initial pH up to 6.0 and decreases drastically with further increase in initial pH. The Freundlich, Langmuir, and Brauner–Emmet–Teller adsorption models were applied to describe the equilibrium isotherms. The results reveal that the equilibrium data for all phenol adsorbents fitted the Freundlich model which seemed to be the best-fitting model for the experimental results with similar values of coefficient of determination.     

大气中半挥发性有机物的测定与来源分析

研究了大气中半挥发性有机物(SVOC)在滤膜、聚氨基甲酸酯泡膜(PUF)和XAD-2三层上的分布,青岛市大气中SVOC的组分和主要有机物的浓度。大气中的SVOC部分四环和五环以上的多环芳烃主要吸附在滤膜层,而大部分SVOC吸附在PUF层,XAD-2吸附的有机物主要是三甲苯和单体萘。冬季大气中主要的有机物是四环以下PAHs的烷基取代物和多种烷基酚,酚类化合物在冬夏两季的变化最大,夏季中检不出酚类化合物,酚类化合物主要来源于燃煤,而PAHs及烷基取代物来源于燃煤和交通。冬夏两季大气中均能检出与交通有关的己内酰胺。