Occurence and Distribution of Polycyclic Aromatic Hydrocarbons in Ankara Precipitation

Urban atmospheric environment contains many trace organic pollutants that are related to the incomplete fuel combustion in domestic heating, industrial plants and automobile traffic. Removal of these pollutants from the atmosphere takes place through wet and dry deposition as well as chemical transformations. In this study, concentrations of polycyclic aromatic hydrocarbons (PAHs) in wet deposition samples were determined at an urban site of Turkey. Wet and dry deposition samples were collected using Andersen Rain Sampler. The sampler was modified accordingly for the collection of organic pollutants. Collected samples were preconcentrated by using solid phase extraction (SPE) disks and consecutively analyzed by Gas Chromatography-Mass Spectrometry (GC-MS). Among the 13 compounds quantified in this study, anthracene, fluoranthene, and pyrene were found more frequently and at elevated concentrations (202, 271 and 260 ng L^-1 mean concentrations, respectively).Concentrations of PAHs were found to be high in winter period.     

火电厂石灰石湿法烟气脱硫废水处理方法

阐述了石灰石湿法烟气脱硫（FGD）废水的水质特征，介绍了国内外普遍应用的化学沉淀去除脱硫废水中重金属、悬浮物等物质的工艺特点及其不足，并着重介绍了最新发展的流化床法、沉淀一微滤法等FCD废水处理新型工艺。     

烟气脱硫喷淋塔的容积负荷与本体设计

提出了以喷淋塔的容积负荷——平均容积吸收率为控制指标的本体设计路线。在目前已有的设计、运行经验基础上，根据烟气的SO2进口浓度、要求的吸收效率等来确定喷淋塔容积。讨论了容积吸收率不同角度的定义，给出了采用容积吸收率进行喷淋塔本体设计的步骤。     

亚甲蓝湿式氧化影响因素研究

以湿式氧化技术对亚甲蓝水溶液进行处理,用水样COD去除率评价处理效果.考察了反应时间、温度、氧分压、搅拌速度、进水pH值以及进水浓度对处理效果的影响,并进行机理分析.实验确定的最佳操作工艺条件为:反应温度210℃、氧分压2.0 MPa、搅拌速度880 r/min、进水pH=11.30.在此条件下,COD为2 000mg/L的亚甲蓝水溶液,反应90min时COD去除率达93.2%.     

多相催化湿式氧化法处理高浓度难降解有机废水的研究

在高压反应釜内，采用自制颗粒贵金属催化剂催化湿式氧化法处理高浓度饲料抗氧化剂合成废水，探讨了温度、压力、进水pH等反应条件对废水处理效果的影响。在温度为220℃、总压为8MPa条件下，COD，TOC，TN和色度的去除率分别达到77．0％，66．1％，70．2％，91％；处理后的废水pH很低，催化剂显示出较好的耐酸性；随进水pH的增加，COD的去除率逐渐降低，出水pH增加。     

DRY AND WET WEATHER FLOW NUTRIENT LOADS FROM A LOS ANGELES WATERSHED1

Effective watershed management requires an accurate assessment of the pollutant loads from the associated point and nonpoint sources. The importance of wet weather flow (WWF) pollutant loads is well known, but in semi‐arid regions where urbanization is significant the pollutant load in dry weather flow (DWF) may also be important. This research compares the relative contributions of potential contaminants discharged in DWF and WWF from the Ballona Creek Watershed in Los Angeles, California. Models to predict DWF and WWF loads of total suspended solids, biochemical oxygen demand, nitrate‐nitrogen, nitrite‐nitrogen, ammonia‐nitrogen, total Kjeldahl nitrogen, and total phosphorus from the Ballona Creek Watershed for six water years dating from 1991 to 1996 were developed. The contaminants studied were selected based on data availability and their potential importance in the degradation of Ballona Creek and Santa Monica Bay beneficial uses. Wet weather flow was found to contribute approximately 75 percent to 90 percent of the total annual flow volume discharged by the Ballona Creek Watershed. Pollutant loads are also predominantly due to WWF, but during the dry season, DWF is a more significant contributor. Wet weather flow accounts for 67 to 98 percent of the annual load of the constituents studied. During the dry season, however, the portion attributable to DWF increases to greater than 40 percent for all constituents except biochemical oxygen demand and total suspended solids. When individual catchments within the watershed are considered, the DWF pollutant load from the largest catchment is similar to the WWF pollutant load in two other major catchments. This research indicates WWF is the most significant source of nonpoint source pollution load on an annual basis, but management of the effects of the nonpoint source pollutant load should consider the seasonal importance of DWF.     

Using a Bayesian network to clarify areas requiring research in a host–pathogen system

Bayesian network analyses can be used to interactively change the strength of effect of variables in a model to explore complex relationships in new ways. In doing so, they allow one to identify influential nodes that are not well studied empirically so that future research can be prioritized. We identified relationships in host and pathogen biology to examine disease‐driven declines of amphibians associated with amphibian chytrid fungus (Batrachochytrium dendrobatidis). We constructed a Bayesian network consisting of behavioral, genetic, physiological, and environmental variables that influence disease and used them to predict host population trends. We varied the impacts of specific variables in the model to reveal factors with the most influence on host population trend. The behavior of the nodes (the way in which the variables probabilistically responded to changes in states of the parents, which are the nodes or variables that directly influenced them in the graphical model) was consistent with published results. The frog population had a 49% probability of decline when all states were set at their original values, and this probability increased when body temperatures were cold, the immune system was not suppressing infection, and the ambient environment was conducive to growth of B. dendrobatidis. These findings suggest the construction of our model reflected the complex relationships characteristic of host–pathogen interactions. Changes to climatic variables alone did not strongly influence the probability of population decline, which suggests that climate interacts with other factors such as the capacity of the frog immune system to suppress disease. Changes to the adaptive immune system and disease reservoirs had a large effect on the population trend, but there was little empirical information available for model construction. Our model inputs can be used as a base to examine other systems, and our results show that such analyses are useful tools for reviewing existing literature, identifying links poorly supported by evidence, and understanding complexities in emerging infectious‐disease systems.     

摩擦清洗修复铅污染土壤的参数优化及清洗效率评价

采用摩擦清洗法修复铅污染场地土壤,主要目的是将细颗粒和铅污染物从砂粒表面去除.通过正交实验优化清洗参数,并对3份不同铅含量土壤进行摩擦清洗实验.优化的清洗参数为:水土比70%干物质、温度25℃、搅拌时间30 min、搅拌速率1 200 r.mim-1.摩擦清洗前土壤经过筛分化验分析表明,3份土壤铅主要富集在砂粒和粉黏粒中;铅的分布与有机质有极大相关性.结果表明,经过摩擦清洗后,3份原状铅污染土壤砂粒的清洗效率分别为:67.61%、31.71%、41.01%,摩擦清洗从砂粒表面去除一部分细粒土壤和铅污染物,使铅浓缩至粉黏粒中;扫描电镜(SEM)分析表明,摩擦清洗后砂粒表面变光滑.以上结论说明摩擦清洗对于铅污染场地的砂粒土壤具有较好的清洗效果.     

昆明市主城区三种温室气体的月份和干、湿季的小时变化规律及原因分析

研究了昆明市主城区3种温室气体浓度的最新变化情况,采用2009年、2010年和2011年的月份和小时平均浓度数据,结合昆明市气候特点,对3种温室气体浓度的月份和干、湿季的小时变化规律及原因进行了分析。     

催化剂Ru/ZrO2-CeO2催化湿式氧化苯酚

催化剂Ru/ZrO₂-CeO₂催化湿式氧化苯酚的过程表明,Ru/ZrO₂-CeO₂可以显著提高COD和苯酚去除效果,当反应温度为170℃,压力为3 MPa,反应120 min后,COD和苯酚的去除率分别达到了99％和100％.试验还考察了不同反应条件对苯酚溶液COD去除的影响,并获得了最优的反应条件：温度为170℃,压力为3 MPa,催化剂的投加量为5　g/Ｌ,搅拌速度为500 r/min.通过对中间产物的分析,本研究提出了催化湿式氧化苯酚的简单路径图,认为苯酚首先被氧化成小分子有机酸,接着小分子有机酸被氧化成二氧化碳和水.前一个过程是快速反应,后一个过程中的乙酸氧化是慢速过程,需要在高温下才能完成.乙酸的氧化主要是自由基攻击α碳上的C—H键,先生成甲酸,并最终生成二氧化碳和水.