土壤中石油污染物的脱附过程

采用有机溶剂萃取法(OSE)对高浓度石油污染土壤进行修复,经过精馏回收绝大部分原油,有机溶剂经分离后循环使用.采用批实验法,以土壤-有机溶剂体系为研究对象,模拟物理化学修复过程,建立了脱附等温曲线并确定了脱附类型;研究了石油污染物在土壤.有机溶剂两相间的迁移规律.考查了液固比SSR对萃取的影响.结果表明,复合溶剂可以使土壤中约80%的石油污染物在4～5 min内得到脱附,20 min达到脱附平衡;Freundlich模型可以很好地描述石油污染物在土壤中的脱附行为,并计算出复合溶剂和乙酸乙酯的脱附平衡常数K分别为:0.0009和0.001 5,结果显示复合溶剂对石油污染物的迁移效果高于乙酸乙酯,符合相似相溶原理.液同比SSR对脱附等温线影响明显,平衡常数随液固比增大而减小,即SSR越大脱附效果越好.当SSR由6:1提高到8:1时,平衡常数变化很小.综上所述,复合溶剂对土壤中石油污染物的脱附行为符合Freundlich模型,常温下液固比为6:1时,5 min脱油率达80%,20 min达90%～95%.考虑后期溶剂回收成本建议液固比在3:1到5:1之间为宜.     

两种改性剂对多氯联苯污染土壤协同热脱附影响研究

采用热脱附技术处理多氯联苯污染土壤已经成为了一种主要的场地修复方式。为提高热脱附效率,降低能耗,以典型电力电容器污染土壤为对象,采用2种改性剂(零价纳米铁和氢氧化钠)研究协同热脱附下多氯联苯的去除效率、分布特性及毒性当量。结果表明纳米铁和NaOH存在的条件下,有效提高了多氯联苯和毒性当量的去除效率,在较低温度下尤其显著,因此添加改性剂能够有效地促进热脱附过程。纳米铁的协同热脱附机理为显著强化了热脱附过程的传质传热,同时伴有一定的脱氯降解。NaOH的添加在较低温度下实现了较强的脱氯降解作用,加氢脱氯机理可用来解释协同热脱附过程中多氯联苯的脱氯反应过程。上述研究结果为多氯联苯污染土壤的场地修复提供理论基础。     

土壤柱气相色谱法研究土壤中有机污染物的热脱附行为

采用土壤柱气相色谱法研究了四种有机污染物在土壤上的热脱附动力学特征,以及容量因子(k')同有机污染物的主要理化参数的数学关联.结果表明,有机污染物在土壤上的慢脱附过程符合双常数方程;并且随温度的升高,lg k'和拖尾因子(Tf)均呈直线降低.lg k'与lg Kow,lg Koa和lg Koc以及沸点(TB)均呈极显著的直线相关,其中,lg k'与lg Koa和TB的相关系数值很高,分别为0.978和0.966,说明二者可以很精确的预测有机污染物在土壤中的热脱附速率.     

活性碳纤维对气态汞的吸附和脱附实验

利用管式炉对活性碳纤维进行汞吸附性能试验.实验发现:在气体汞浓度为5263.5μg·m-3,吸附温度90℃,气体停留时间0.1s时,筒式吸附体在前20min内吸附汞效率在80%以上,吸附180min后吸附汞效率仍在20%左右.随着吸附温度的升高汞吸附效率先增加后降低,停留时间的延长和H2O(g)的存在均有利于汞的吸附.采用热重分析法(TGA)对汞饱和活性碳纤维进行热脱附研究,结果表明,汞的脱附发生在100℃-230℃范围内,在40min内从50℃升温至350℃,汞脱附率为69.93%.汞饱和活性碳纤维热脱附后的扫描电镜分析表明:物理吸附的汞易于脱附,氧化汞难以脱附,同时在热脱附过程中存在单质汞向氧化汞的转化.     

水热合成silicalite-2分子筛及对对硝基苯酚的吸附与脱附性能

以硅溶胶为硅源、四丁基氢氧化铵(TBAOH)为模板剂,按1SiO2∶0.35TBAOH∶25H2O的物质的量之比,170℃下水热晶化48 h合成silicalite-2分子筛,并用XRD、SEM等方法对其进行了表征.考察了pH、温度、投加量、NaCl浓度对模拟的对硝基苯酚废水吸附效果的影响.结果表明,在对硝基苯酚废水浓度为20 mg·L-1,pH=4,投加量为0.3g·L-1,温度25℃,NaCl浓度580 mg·L-1时,吸附量为98.4 mg·g-1.采用1.44%氢氧化钠脱附剂对吸附饱和的silicalite-2分子筛进行脱附110 min,脱附率达到85%以上.     

热脱附-气质联用法测定环境空气中的挥发性有机物

国家环境标准中规定了固定污染源废气中挥发性有机物的固相吸附-热脱附/气相色谱-质谱法(TDGCMS).综合参考了美国EPA的现行标准,摸索出了适合在国内推广的检测方法,即采用热脱附-气相色谱质谱(TD-GCMS),对环境空气中35种痕量的VOCs进行分析检测.     

邯郸市新冠疫情前后空气质量指数(AQI)对比与疫情防控期间大气污染特征分析

2020年初COVID-19疫情爆发,我国采取一系列管控措施使大气污染物排放量明显降低.为了解疫情期间减排活动下邯郸市大气污染特征,采用统计学变量分析方法与特征雷达图对疫情爆发前(12月、1月)、疫情防控期间(2-4月)、疫情防控后(5月、6月)以及2019年同期大气污染情况进行对比分析.并进一步估算防控期间大气污染物的减排量,通过后向轨迹聚类分析气团的迁移轨迹来探讨人为减排对空气质量的影响.结果 表明,2020年2月疫情管控开始后,环境空气质量与2019年同期相比明显好转,2月份AQI值降幅约为50％,3、4月份两年差距逐渐缩小;疫情防控期间较疫情爆发前空气质量也有较大幅度提升,防控结束后AQI值有小幅度回弹;防控期间PM2.5、PM10、 SO2、NO2、CO的日平均浓度值均有较大幅度下降,在2月份下降最为明显,降幅分别为51％、55％、62％、41％、33％;O38 h平均浓度与气温呈显著正相关(0.747),疫情期间浓度呈上升趋势,在4月底达到的峰值(238 μg·m-3).北京市空气污染相对较轻,邯郸市与石家庄市较为严重,整体上受颗粒物的污染较明显.邯郸市2、3、4月份特征雷达图属于偏综合型,2月燃煤、生物质燃烧排放的污染物偏高,4月份来自工厂的NO2和SO2浓度偏高.疫情防控前期各污染物排放量均有较大幅度降低,与2019年2月的气团移动轨迹来源特征相似,说明人为减排对环境空气质量提升效果显著.     

华山松松茎象幼虫的危害及其防治研究

华山松松茎象是南岳景区松树上新发现的一种重要害虫,该虫严重危害华山松和黑松.本文介绍了其幼虫的取食危害特点及防治方法.该虫幼虫取食华山松和黑松的韧皮部,同时取食新鲜的松脂,越冬后的幼虫仅靠取食新鲜松脂就能正常发育,并化蛹、羽化.单株虫口数量与松树树干基部直径呈明显正相关,即树干基部直径在10.0~20.0 cm 、20.1~25.0 cm 、25.1~35.0 cm之间的松树,平均单株有虫数量分别为1.0头株-1、1.98头株-1和3.30头.株-1.在5~10月间,采用人工清除幼虫的方法可有效地控制该虫的危害,采用化学药剂防治该虫效果不明显.     

湿式氧化再生饱和片状活性炭及机理研究

采用湿式氧化装置再生吸附间甲酚饱和片状活性炭,采用标准再吸附实验法测定饱和活性炭的再生效率,确定湿式氧化再生的最佳反应时间和温度.通过总有机碳测定仪和高效液相色谱测得再生过程中总有机碳和间甲酚浓度变化,其中间甲酚浓度由脱附过程和降解过程综合影响.通过高效液相色谱和气相色谱-质谱联用确定活性炭再生过程产物包括:间甲酚降解产物乙酸、丙烯酸以及部分稳定的大分子物质,其中乙酸浓度变化是导致总有机碳变化的主要因素.通过氮气吸附脱附测试可知,再生过程中活性炭表面有部分塌陷.通过程序升温脱附-质谱联用技术得出经过再生处理的活性炭表面氧化官能团的数量有显著增加,其中以羧酸酐类和内酯的增加最为显著,表明再生过程中活性炭表面部分被氧化.通过溶液分析以及表征结果,推测再生过程的反应机理.     

Pd-K/MgAlO催化剂上的NO_x存储、脱附和还原过程

利用程序升温脱附(TPD)、程序升温表面反应(TPSR)和原位红外光谱(in situ IR)等技术研究了Pd-K/MgAlO催化剂上的NOx存储、脱附和还原过程.结果表明,NOx在Pd-K/MgAlO上主要以硝酸根和亚硝酸根的形式存储.在Pd的催化作用下,部分亚硝酸根被氧化为强酸性的硝酸根,变得更容易存储.由NOx-TPD计算得到Pd-K/MgAlO的NOx存储容量高达890.4μmol.g-1.此外,在NOx脱附及H2还原的实验中均发现了Pd催化的亚硝酸盐歧化分解反应,该反应通过亚硝酸盐溢流至Pd位实现.亚硝酸盐的溢流产生了两个作用:促进NOx低温脱附及促进H2对存储NOx的还原.此发现为NOx存储物种的溢流机理提供了一个有力的证据.     

社区中、老年血压血脂及其认知情况调查分析

目的了解城市社区中、老年人群血压、血脂及他们对血压、血脂的认识情况,为社区慢性病管理提供依据.方法选取社区36岁以上（含36岁）人群为调查对象,采用问卷调查和体格检查共同获得资料的方式.结果城市社区中、老年人群高血压、高血脂情况不容乐观,高血压的患病率达18.89%,高血脂的患病率也达到了43.69%,远远高于我国公布的发病标准.社区卫生服务所面临的工作压力巨大,慢性病管理和护理干预是社区护理当务之急需要解决的问题.表2,参7.     

How does the spatial structure of habitat loss affect the eco-epidemic dynamics?

Habitat loss is considered as one of the primary causes of species extinction, especially for a species that also suffers from an epidemic disease. Little attention has been paid to the combined effect of habitat loss and epidemic transmission on the species spatiotemporal dynamics. Here, a spatial model of the parasite–host/prey–predator eco-epidemiological system with habitat loss was studied. Habitat patches in the model, instead of undergoing a random loss, were spatially clustered by different degrees. Not only the quantity of habitat loss but also its clustering degree was shown to affect the equilibrium of the system. The infection rate and the probability of successful predation were keys to determine the spatial patterns of species. The epidemic disease is more likely to break out if only a small amount of suitable patches were lost. Counter-intuitively, infected preys are more sensitive to habitat loss than predators if the lost patches are highly clustered. This result is new to eco-epidemiology and implies a possibility of using spatial arrangement of suitable (or unsuitable) patches to control the spread of epidemics in the ecological system.     

Blood lead determinants of a population living in a former lead mining area in Southern Scotland

The impact of high environmental lead levels on public health is currently under much debate. Such a situation exists in two former lead mining villages set in the Southern Uplands of Scotland, where the environment is heavily contaminated through past mining activity. A survey was conducted based on representative samples of male and female adults and of all children living in the area, to examine the distribution of blood lead levels and to compare this with the distribution in residents in a control area. Possible routes of exposure including the determination of lead in domestic water, in house dust, in airborne dust, on food preparation surfaces, on hands, in garden soils and through home grown vegetable consumption were investigated. The results indicate that there is a general increase in lead exposure in environmental variables in the contaminated area, while blood lead levels show an excess of between 45 and 70 percent compared with the control. The determinants of blood lead are discussed through correlation and multiple regression analysis.     

Epidemiological risk assessment using linked network and grid based modelling: Phytophthora ramorum and Phytophthora kernoviae in the UK

We developed a stochastic simulation model incorporating most processes likely to be important in the spread of Phytophthora ramorum and similar diseases across the British landscape (covering Rhododendron ponticum in woodland and nurseries, and Vaccinium myrtillus in heathland). The simulation allows for movements of diseased plants within a realistically modelled trade network and long-distance natural dispersal. A series of simulation experiments were run with the model, representing an experiment varying the epidemic pressure and linkage between natural vegetation and horticultural trade, with or without disease spread in commercial trade, and with or without inspections-with-eradication, to give a 2 × 2 × 2 × 2 factorial started at 10 arbitrary locations spread across England. Fifty replicate simulations were made at each set of parameter values. Individual epidemics varied dramatically in size due to stochastic effects throughout the model. Across a range of epidemic pressures, the size of the epidemic was 5–13 times larger when commercial movement of plants was included. A key unknown factor in the system is the area of susceptible habitat outside the nursery system. Inspections, with a probability of detection and efficiency of infected-plant removal of 80% and made at 90-day intervals, reduced the size of epidemics by about 60% across the three sectors with a density of 1% susceptible plants in broadleaf woodland and heathland. Reducing this density to 0.1% largely isolated the trade network, so that inspections reduced the final epidemic size by over 90%, and most epidemics ended without escape into nature. Even in this case, however, major wild epidemics developed in a few percent of cases. Provided the number of new introductions remains low, the current inspection policy will control most epidemics. However, as the rate of introduction increases, it can overwhelm any reasonable inspection regime, largely due to spread prior to detection.     

Spatially mixed crops to control the stratified dispersal of airborne fungal diseases

Intraspecific crop diversification is thought to be a possible solution to the disease susceptibility of monocultured crops. We modelled the stratified dispersal of an airborne pathogen population in order to identify the spatial patterns of cultivar mixtures that could slow epidemic spread driven by dual dispersal mechanisms acting over both short and long distances. We developed a model to simulate the propagation of a fungal disease in a 2D field, including a reaction-diffusion model for short-distance disease dispersal, and a stochastic model for long-distance dispersal. The model was fitted to data for the spatio-temporal spread of faba bean rust (caused by Uromyces viciae-fabae) through a discontinuous field. The model was used to compare the effectiveness of eight different planting patterns of cultivar mixtures against a disease spread by short-distance and stratified dispersal. Our combined modelling approach provides a reasonably good fit with the observed data for the spread of faba bean rust. Similar predictive power could be expected for the management of resource-mediated invasions by other airborne fungi. If a disease spreads by short-distance dispersal, random mixtures can be used to slow the epidemic spread, since their spatial irregularity creates a natural barrier to the progression of a smooth epidemic wave. In the context of stratified dispersal, heterogeneous patterns should be used that include a minimum distance between susceptible units, which decreases the probability of infection by long-distance spore dispersal. We provide a simple framework for modelling the stratified dispersal of disease in a diversified crop. The model suggests that the spatial arrangement of components in cultivar mixtures has to accord with the dispersal characteristics of the pathogen in order to increase the efficiency of diversification strategies in agro-ecosystems and forestry. It can be applied in low input agriculture to manage pathogen invasion by intercropping and cultivar mixtures, and to design sustainable systems of land use.     

树舌灵芝多糖对肝纤维化大鼠的肝功能的影响

观察树舌灵芝多糖对肝纤维化大鼠的肝功能的影响．采用经典的四氯化碳肝纤维化模型,造模同时给予树舌灵芝多糖干预,4周后采血测血清AST、ALB、A／G、HDL,实验中观察大鼠的一般状况．树舌灵芝多糖能显著降低四氯化碳肝纤维化大鼠血清ALIT、Mb、A／G水平．在肝纤维化的病理进程中,采取树舌灵芝多糖进行干预,可改善大鼠肝功能．表3,参5．     

呼和浩特市某地慢性砷中毒流行因素探讨

１９９０年以来，在呼和浩特某地的６个自然村，查明以特殊皮肤损害为特征的慢性砷中毒病人１９７例。经用流行病学方法研究，从不同角度分析出，天然富砷水为该病的流行因素。     

Dynamics and management of infectious disease in colonizing populations

The introduction of chronic, infectious diseases by colonizing populations (invasive or reintroduced) is a serious hazard in conservation biology, threatening the original host and other spillover species. Most research on spatial invasion of diseases has pertained to established host populations, either at steady state or fluctuating through time. Within a colonizing population, however, the spread of disease may be influenced by the expansion process of the population itself. Here we explore the simultaneous expansion of a colonizing population and a chronic, nonlethal disease introduced with it, describing basic patterns in homogeneous and structured landscapes and discussing implications for disease management. We describe expected outcomes of such introductions for three qualitatively distinct cases, depending on the relative velocities at which the population and epidemic expand. (1) If transmissibility is low the disease cannot be sustained, although it may first expand its range somewhat around the point of introduction. (2) If transmissibility is moderate but the wave-front velocity for the population, vp, is higher than that for the disease, vd, the disease wave front lags behind that of the population. (3) A highly transmissible disease, with vd > vp, will invade sufficiently rapidly to track the spread of the host. To test these elementary theoretical predictions, we simulated disease outbreaks in a spatially structured host population occupying a real landscape. We used a spatially explicit, individual-based model of Persian fallow deer (Dama mesopotamica) reintroduced in northern Israel, considering a hypothetical introduction of bovine tuberculosis. Basic patterns of disease expansion in this realistic setting were similar to our conceptual predictions for homogeneous landscapes. Landscape heterogeneity, however, induced the establishment of population activity centers and disease foci within them, leading to jagged wave fronts and causing local variation in the relative velocities at which the population and epidemic expanded. Based on predictions from simple theory and simulations of managed outbreaks, we suggest that the relative velocities at which the population and epidemic expand have important implications for the impact of different management strategies. Recognizing which of our three general cases best describes a particular outbreak will aid in planning an efficient strategy to contain the disease.     

Estimating the spatio-temporal risk of disease epidemics using a bioclimatic niche model

There are presently few tools available for estimating epidemic risks from forest pathogens, and hence informing pro-active disease management. In this study we demonstrated that a bioclimatic niche model can be used to examine questions of epidemic risk in temperate eucalypt plantations. The bioclimatic niche model, CLIMEX, was used to identify regional variation in climate suitability for Mycosphaerella leaf disease (MLD), a major cause of foliage damage in temperate eucalypt plantations around the world. Using historical observations of MLD damage, we were able to convert the relative score of climatic suitability generated by CLIMEX into a severity ranking ranging from low to high, providing for the first time a direct link between risk and impact, and allowing us to explore disease severity in a way meaningful to forest managers. We determined that the ‘Compare Years’ function in CLIMEX could be used for site-specific risk assessment to identify severity, frequency and seasonality of MLD epidemics. We explored appropriate scales of risk assessment for forest managers. Applying the CLIMEX model of MLD using a 0.25° or coarser grid size to areas of sharp topographic relief frequently misrepresented the risk posed by MLD, because considerable variation occurred between individual forest sites encompassed within a single grid cell. This highlighted the need for site-specific risk assessment to address many questions pertinent to managing risk in plantations.     

Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany

The purpose of this paper is to illuminate the spatio-temporal diffusion of rooftop household photovoltaic installations in Germany and to test whether localized imitation drives their adoption. Our study is based on a unique data set of some 576,000 household photovoltaic systems installed in Germany through 2009. We employ an epidemic diffusion model which includes a spatial dimension, and control for temporal and spatial heterogeneity. According to our results, imitative adoption behavior is highly localized and an important factor for the diffusion of household photovoltaic systems.