Effects of experimental protocol on global vegetation model accuracy: A comparison of simulated and observed vegetation patterns for Asia

Prognostic vegetation models have been widely used to study the interactions between environmental change and biological systems. This study examines the sensitivity of vegetation model simulations to: (i) the selection of input climatologies representing different time periods and their associated atmospheric CO₂ concentrations, (ii) the choice of observed vegetation data for evaluating the model results, and (iii) the methods used to compare simulated and observed vegetation. We use vegetation simulated for Asia by the equilibrium vegetation model BIOME4 as a typical example of vegetation model output. BIOME4 was run using 19 different climatologies and their associated atmospheric CO₂ concentrations. The Kappa statistic, Fuzzy Kappa statistic and a newly developed map-comparison method, the Nomad index, were used to quantify the agreement between the biomes simulated under each scenario and the observed vegetation from three different global land- and tree-cover data sets: the global Potential Natural Vegetation data set (PNV), the Global Land Cover Characteristics data set (GLCC), and the Global Land Cover Facility data set (GLCF). The results indicate that the 30-year mean climatology (and its associated atmospheric CO₂ concentration) for the time period immediately preceding the collection date of the observed vegetation data produce the most accurate vegetation simulations when compared with all three observed vegetation data sets. The study also indicates that the BIOME4-simulated vegetation for Asia more closely matches the PNV data than the other two observed vegetation data sets. Given the same observed data, the accuracy assessments of the BIOME4 simulations made using the Kappa, Fuzzy Kappa and Nomad index map-comparison methods agree well when the compared vegetation types consist of a large number of spatially continuous grid cells. The results of this analysis can assist model users in designing experimental protocols for simulating vegetation.     

Seasonal variation of nitrogen and phosphorus in Xiaojiang River—A tributary of the Three Gorges Reservoir

A yearlong monitoring program in the backwater area of Xiaojiang River (XBA) was launched in order to investigate the eutrophication of backwater areas in tributaries of the Yangtze River in the Three Gorges Reservoir (TGR) in China, starting after the impoundment water level of the TGR reached 156 m. From March 2007 to March 2008, the average concentration of total nitrogen (TN) and total phosphorus (TP) were (1553±484) μg·L^?1 and (62±31) μg·L^?1, respectively. The mean value of chlorophyll was (9.07±0.91) μg·L^?1. The trophic level of XBA was meso-eutrophic, while the general nutrient limitation was phosphorus. The results indicated that XBA has a strong ability to purify itself and has non-point source pollution from terrestrial runoff. The variation of TN/TP ratio was caused by a variation in TN rather than in TP when TN/TP < 22. N-fixation from cyanobacteria occurred and became an important process in overcoming the nitrogen deficit under a low TN/TP ratio. When TN/TP ? 22, the variation of TP affected the TN/TP ratio more significantly than TN. The increase of TP in XBA was caused mainly by particulate phosphorus, which could originate from a non-point source as adsorptive inorganic forms after heavy rainfall and surface runoff. An increase in the river’s flow could also contribute to an unstable environment for the growth of phytoplankton.     

北江表层沉积物中铊污染的生态风险

为了解珠江水系北江流域表层沉积物中铊的含量,并在此基础上评价珠江流域北江铊污染现状及其生态风险,该研究于2006年采集了广东省北江韶关至清远段的沉积物样品,采用混酸消解后,使用ICP-MS测定了沉积物中铊的含量,应用潜在生态危害指数对北江的铊污染和生态危害进行评价.结果表明,珠江水系北江河段沉积物已达到了较高的铊污染水平,对周围环境存在着较高的铊生态风险.北江干流沉积物中的铊质量浓度范围为0.92 ~ 2.32 mg·kg-1,平均值为1.70 mg·kg-1;各支流沉积物中铊质量浓度范围为1.02 ~ 3.22 mg·kg-1.个别采样点,特别是接近韶关冶炼厂排放口附近沉积物中铊的含量达到7.78 mg·kg-1,具有极高的铊生态风险.对于北江各支流,铊的污染程度与潜在生态风险程度由高到低的排序为马坝河>武江>浈江>滨江>龙塘河,其中马坝河沉积物铊存在高度的生态风险.     

铅（Pb^2＋）致高血压大鼠胸主动脉病变的相关基因及信号转导途径

采用表达芯片研究铅(Pb2+)致高血压大鼠模型病变主动脉的基因表达谱,以及可能涉及的信号转导途径.结果表明,Pb2+致高血压大鼠和对照组相比,在3463个已知基因和表达序列标签(EST)中,有24个基因和1个EST表达上调幅度≥2倍;有2个基因和1个EST表达下调幅度≥2倍.在差异表达≥2倍的26个基因中,有13个上调的基因与细胞凋亡、局部粘附、细胞生长、增殖、细胞迁移、平滑肌兴奋、胶原重构等生物学过程相关;2个下调基因与能量代谢有关.表达差异基因相对集中的信号途径是与细胞运动、增殖和存活关系密切的局部粘附信号途径.     

臭氧-固定化生物活性炭滤池深度处理石化废水的试验研究

针对石化废水中不同特征污染物,采用人工分离筛选去除COD和油工程菌6株、硝化工程菌10株(亚硝化细菌5株、硝化细菌5株)构建高效混合菌群,通过臭氧固定化生物活性炭滤池除污染效能中试研究表明,该系统深度处理石化难降解有机废水是可行的,能同时实现去除COD、油类、NH3 N等污染物的功效,对COD、油类、NH3 N和色度的平均去除率分别为73 0%、90 5%、81 2%和90%,相应的出水分别为33 2mg/L、0 4mg/L、4 5mg/L和10倍,各项指标均达到了国家循环冷却水的用水要求,它的推广应用必将带来显著的环境效益、社会效益和经济效益。     

沈阳市北部污水处理厂工艺设计的特点

详细介绍了污水处理厂的设计规模、SDAO污水处理工艺、各个单体构筑物的主要设计参数,SDAO工艺采用圆形曝气池,在工艺和结构设计上有所创新。污泥采用消化处理,污泥加热方式比较科学。     

对影响三槽氧化沟工艺除磷效果因素的分析

通过对唐山市北郊污水处理厂三槽氧化沟工艺分析,发现污泥浓缩池上清液的回流和无法形成严格厌氧环境是该工艺除磷效果不佳的主要原因。文中提出了一些改进途径。     

城市滨水区的生态恢复研究

城市滨水区的生态恢复具有着重要的生态、经济和社会意义。通过探讨和分析城市滨水区生态恢复的基础理论和主要内容,综述了国内外城市滨水区生态恢复的研究现状,指出我国为做好城市滨水区生态恢复工作尚需加强滨水区生态恢复的基础理论、关键技术、景观生态学的应用和示范推广等方面的研究,以滨水区的生态恢复带动开发,保证城市的可持续发展。     

嘉兴市不同天气条件下大气污染物和气溶胶化学组分的分布特征

为研究不同天气条件下大气污染物(PM_(2.5)、PM_(1.0)、SO_2、NO_2、O_3和CO)和气溶胶化学组分的污染特征,分别使用SHARP-5030监测仪、热电EMS系统、气溶胶化学成分在线监测仪(ACSM)和宽范围颗粒粒径谱仪(WPS)对嘉兴市2015年5月1~31日PM、污染气体、PM_(1.0)中化学组分和10 nm~10μm气溶胶数浓度进行了观测分析.结果表明,观测期间嘉兴市PM_(2.5)、PM_(1.0)、SO_2、NO_2、O_3和CO的平均浓度分别为52.8和37.2μg·m~(-3)、10.3μg·m~(-3)、38.1μg·m~(-3)、92.1μg·m~(-3)和1.2 mg·m~(-3).PM_(1.0)中OA、SO_2-4、NO-3、NH_4~+和Cl-的平均浓度为2.18、1.24、0.87、0.63和0.08μg·m~(-3).数浓度主要集中在爱根核模态(20~100 nm),浓度为12 411.2 cm~(-3),其次是核模态(10~20 nm),浓度为4 946.6 cm~(-3).不同天气过程中PM和污染气体的浓度分布和日变化特征不同.不同天气条件下PM_(1.0)中化学组分分布不同.雨天和晴天PM_(1.0)中化学组分浓度从大到小顺序均为OASO_2-4NO-3NH_4~+Cl-,新粒子天PM_(1.0)中化学组分浓度的顺序为OANO-3SO_2-4NH_4~+Cl-.新粒子天OA和NO-3分别是晴天的1.61和1.42倍,说明OA和NO-3是影响新粒子生成事件的主要化学成分.不同天气条件下不同模态气溶胶的日变化特征不同.     

湖北农村降水中SO_4~(2-)浓度变化研究

在湖北农村 10个地点 ,利用澳大利亚集雨器自 1996年 1月至 1998年 6月 ,按季度采集大气降水样品测定SO2 - 4浓度 ,并对数据进行统计分析。研究结果表明 ,各地 1997年降水中SO2 - 4浓度年均值比 1996年显著升高 ;大多数地点 1996、1997、1998年 1季度和 2季度降水中SO2 - 4浓度呈逐年升高趋势 ;大多数地点每年 1、4季度降水中SO2 - 4浓度高 ,2、3季度降水中SO2 - 4浓度低 ,说明湖北农村降水中的硫对秋冬作物影响比对春夏作物影响大 ;湖北农村降水中SO2 - 4浓度近两年不仅有时间变化规律 ,而且同一季度内的地区差异也很明显 ,在 1996年和 1997年 8个季度 10个点的降水SO2 - 4浓度最大值中 ,有 4个最大值出现在襄樊 ,它是目前湖北继宜昌市区、恩施市区之后又一个酸雨发展较快的地区