利用3S技术评价凌河口湿地生态环境质量

基于3S技术,利用中巴地球资源卫星解译数据,于2008年秋季对辽宁省锦州市凌河口湿地自然保护区的土地利用／土地覆盖现状进行野外核查,并结合对湿地进行的鸟类、鱼类、植被状况、空气、水体、土壤状况等调查,采用多样性、代表性、稀有性、自然性、稳定性和人类威胁等6项指标组成的湿地生态环境评价指标体系,对凌河口湿地生态环境质量进行了评价。结果表明,凌河口湿地生态环境处于较好水平。     

我国物质流研究述评

在分析我国近年来物质流研究成果的基础上,探讨目前研究存在的问题,并提出今后物质流研究应在以下几方面作出努力:建立学术平台、研究基地,加强学术交流;建立统一的分析和计算的框架和具体系数的估算方法;把物质流分析的成果与具有社会价值的经济、人口、土地等因素结合分析,与国外进行对比,找出我国的问题所在;建立我国或者特定区域的隐藏流系数的实时分析模型;物质投入产出表的编撰与研究;对我国未开展物质流研究的典型区域进行物质流分析。     

不同人工湿地组合净化生活污水效果研究

设计了垂直流＋水平流、水平流＋垂直流、单一水平、单一垂直等4组不同结构的人工湿地组合,研究其对生活污水的净化效果。结果表明：4组人工湿地对CODCr,TP的去除率分别达到80%,70%左右;对TN的去除,垂直＋水平单元去除率最高,为44.30%。     

盘锦市湿地资源利用与恢复生态功能探讨

分析了盘锦市湿地由于不合理的开发利用,导致生态功能受损状况;为防止湿地资源的过度开发,保护湿地生态系统的结构、物种、功能效应,使湿地资源永续利用,提出了具有可操作性的恢复措施。     

反相流动注射催化动力学分光光度法测定海水中的痕量Cu

在弱碱性的介质中,Cu能够对H2O2氧化对苯二酚的反应起到明显的催化作用,反应产物在500 nm波长处有最大吸收峰.据此,发展了一种反相流动注射催化动力学分光光度法测定海水痕量Cu的新方法.在最佳条件下,Cu2+的浓度在0～40 μg/L具有良好的线性关系,相关系数0.9993,检出限为0.2 μg/L,回收率为98.7%～104.2%,用5 μg/L标准溶液进样的相对标准偏差为1.03%(n=10).     

质粒pJP4水平转移介导生物膜系统强化降解2,4-D效应

以携带质粒pJP4[其上含编码2,4-二氯苯氧基乙酸(2,4-dichlorophenoxyacetic acid,2,4-D)降解功能的基因簇(tfd)]的基因工程菌Pseudomonas putida SM1443::gfp2x(pJP4::dsRed)为供体菌,以生物膜系统为对象,通过半连续流实验研究了质粒pJP4水平转移介导基因强化降解2,4-D效应,考察了目标基因在系统中存在状况及基因强化对系统菌群结构的影响.结果表明,以2,4-D(初始浓度为170 mg/L±10 mg/L)为唯一碳源,向生物膜系统加入携pJP4质粒的基因工程菌对2,4-D的降解具有促进作用,运行初期,促进作用较弱,随着半连续流反应的进行,促进作用显著增强,基因强化系统较对照系统对2,4-D的平均降解速率之差达13.3 mg/(L.h).通过对基因强化系统功能基因片段tfdB基因及报告基因gfp的跟踪检测,证实了在pJP4质粒介导下生物膜系统基因水平转移的发生.PCR-DGGE结果表明基因强化的生物膜系统较对照系统在受到2,4-D冲击条件下保持了相对更加稳定的菌群结构.     

硝基苯、苯胺在湿地土壤不同有机组分中的吸附特征

应用平衡法研究了湿地土壤不同有机组分对硝基苯和苯胺的吸附行为.结果表明,吸附等温线经拟合后均符合Freundlich模型,可决系数分别为R2=0.983～0.997,R2=0.963～0.991(P<0.01,n=5),土壤不同有机组分对硝基苯和苯胺的吸附表现为非线性特征,其吸附过程与有机质含量和结构有关.硝基苯和苯胺在湿地土壤中的吸附主要受腐殖酸、易氧化有机质组分和脂类化合物的影响,其中腐殖酸对硝基苯和苯胺具有最大的吸附容量;脂类化合物表现为与硝基苯、苯胺竞争土壤有机质结构中的吸附位点,去除脂类化合物后残余物的吸附量增大;矿物组分对硝基苯和苯胺的吸附是次要的,吸附容量仅为2.31mg·kg-1和3.63mg·kg-1.硝基苯和苯胺的Koc值分别按如下顺序增加:碱提取残余物<原始土<过氧化氢氧化残余物<苯/甲醇提取残余物,原始土<苯/甲醇提取残余物<过氧化氢氧化残余物<碱提取残余物.     

Simulation of the flow of an explosive atmosphere exposed to a hot surface

The accidental ignition of combustible atmospheres by hot surfaces is of great concern for chemical and process plant safety. In this paper, we present our research regarding the evolution of thermal plumes originating from hot hemispheres and discs. In particular, we focus on the effect of the orientation of the surface on the ignition process. The auto-ignition temperatures and ignition locations were studied experimentally. To get further insight, we conducted detailed numerical simulations and validated them with measurements. Three-dimensional simulations were performed on hot hemispheres and hot discs for different orientations ranging from 0° to 180°. The solver employs a transient, implicit scheme which is based on the coupled heat transfer and flow equations. The mesh in the vicinity of the hot surfaces is refined to resolve the steep temperature gradients and to capture the boundary layer separation. The influence of the orientation on critical hot spots in the gas mixture is analysed by examining the flow structures and the temperature evolution of the buoyancy-driven flow. Using the obtained results, we discuss the change of the onset and location of the ignition.     

Modeling Flow,Nutrient, and Sediment Delivery from a Large International Watershed Using a Field‐Scale SWAT Model

A large international watershed, the St. Clair‐Detroit River System, containing both extensive urban and agricultural areas, was modeled using the Soil and Water Assessment Tool (SWAT) model. The watershed, located in southeastern Michigan, United States, and southwestern Ontario, Canada, encompasses the St. Clair, Clinton, Detroit (DT), Sydenham (SY), Upper, and Lower Thames subwatersheds. The SWAT input data and model resolution (i.e., hydrologic response units, HRUs), were established to mimic farm boundaries, the first time this has been done for a watershed of this size. The model was calibrated (2007–2015) and validated (2001–2006) with a mix of manual and automatic methods at six locations for flow and water quality at various time scales. The model was evaluated using Nash–Sutcliffe efficiency and percent bias and was used to explore major water quality issues. We showed the importance of allowing key parameters to vary among subwatersheds to improve goodness of fit, and the resulting parameters were consistent with subwatershed characteristics. Agricultural sources in the Thames and SY subwatersheds and point sources from DT subwatershed were major contributors of phosphorus. Spatial distribution of phosphorus yields at HRU and subbasin levels identified locations for potential management targeting for both point and nonpoint sources and revealed that in some subwatersheds nonpoint sources are dominated by urban sources.     

Biological Connectivity of Seasonally Ponded Wetlands across Spatial and Temporal Scales

Many species that inhabit seasonally ponded wetlands also rely on surrounding upland habitats and nearby aquatic ecosystems for resources to support life stages and to maintain viable populations. Understanding biological connectivity among these habitats is critical to ensure that landscapes are protected at appropriate scales to conserve species and ecosystem function. Biological connectivity occurs across a range of spatial and temporal scales. For example, at annual time scales many organisms move between seasonal wetlands and adjacent terrestrial habitats as they undergo life‐stage transitions; at generational time scales, individuals may disperse among nearby wetlands; and at multigenerational scales, there can be gene flow across large portions of a species’ range. The scale of biological connectivity may also vary among species. Larger bodied or more vagile species can connect a matrix of seasonally ponded wetlands, streams, lakes, and surrounding terrestrial habitats on a seasonal or annual basis. Measuring biological connectivity at different spatial and temporal scales remains a challenge. Here we review environmental and biological factors that drive biological connectivity, discuss implications of biological connectivity for animal populations and ecosystem processes, and provide examples illustrating the range of spatial and temporal scales across which biological connectivity occurs in seasonal wetlands.