高原湖泊砷污染健康风险评估

以某高原湖泊为例,以湖水中的砷含量类比推算了从该湖泊取水灌溉区域内水稻和蔬菜的砷含量,对稻米、蔬菜和饮水3种暴露途径进行健康风险评估。结果表明,人群通过摄入区域内稻米、蔬菜的致癌风险系数为可接受的致癌风险,饮用湖水的致癌风险系数为不可接受的致癌风险。     

青海湖流域生态安全评价

进行流域的生态安全评价,对于改善流域的生态环境,维护区域的可持续发展具有重要 的意义。本文选择自然生态环境状态指数、人文社会压力指数、环境破坏压力指数,构建了青海 湖流域生态安全综合评价指数模型,提取了生态安全指标,对2000 年青海湖流域的生态安全进 行了评价。结果表明,2000 年青海湖流域生态安全属于生态安全预警等级,流域生态安全面临着 较为严峻的挑战。气候变化和人类活动对青海湖流域的生态环境产生的负效应,也因此会影响到 区域的可持续发展,所以必须进行流域的综合治理,改善当地的生态环境。     

滇池北岸典型农区韭菜田大气氮湿沉降与氮挥发研究

选择滇池北岸大清河下游典型农区韭菜田为对象,对雨水进行化学分析,研究了2007年大气氮湿沉降通量及其动态变化,并通过田间试验观测了地表(韭菜地土壤、韭菜废弃物原位腐解、沟渠污水)的氨氮挥发.结果表明,全年大气湿沉降氮(以N计)7.1kg/hm2,其中雨季(4～9月份)占89%.韭菜一次基施尿素(以N计)276kg/hm2,35d累计氨挥发占施氮量的32%,其中前9d氨挥发占总氨挥发96%.韭菜残体腐解21d累计氮挥发占植株氮23%.含氮7～51mg/L的污水(其中氨氮2.7～25.8mg/L)露天放置12d,水体总氮的27%～38%挥发进入大气.可见,韭菜田氮挥发是该地大气氮重要来源之一.     

Three-dimensional eutrophication model and application to Taihu Lake, China

Taihu Lake, the largest freshwater shallow lake in eastern China, has suffered from severe eutrophication over the past two decades. This research developed a three-dimensional eutrophication model to investigate the eutrophication dynamics. The model fully coupled the biological processes and hydrodynamics, and also took into account the effects of sediment release and the external loads from the tributaries. After sensitivity analyses, the key parameters were defined and then calibrated by the field observation data. The calibrated model was applied to study the seasonal primary productions and its regional differences. The comparisons between model results and field data in year 2000 indicated that the model is able to simulate the eutrophication dynamics in Taihu Lake with a reasonable accuracy. From the simulation experiments, it was found that the meteorological forcing have significant influences on the temporal variations of the eutrophication dynamics. The wind-induced circulation and sediment distribution play an important role in the spatial distribution of the algae blooms.     

Characterization of depth-related microbial communities in lake sediment by denaturing gradient gel electrophoresis of amplified 16S rRNA fragments

The characterization of microbial communities of different depth sediment samples was examined by a culture-independent method and compared with physicochemical parameters, those are organic matter （OM）, total nitrogen （TN）, total phosphorus （TP）, pH and redox potential （Eh）. Total genomic DNA was extracted from samples derived from different depths. After they were amplified with the GC-341 f/907r primer sets of partial bacterial 16S rRNA genes, the products were separated by denaturing gradient gel electrophoresis （DGGE）. The profile of DGGE fingerprints of different depth sediment samples revealed that the community structure remained relatively stable along the entire 45 cm sediment core, however, principal-component analysis of DGGE patterns revealed that at greater sediment depths, successional shifts in community structure were evident. The principle coordinates analysis suggested that the bacterial communities along the sediment core could be separated into two groups, which were located 0-20 cm and 21-45 cm, respectively. The sequencing dominant bands demonstrated that the major phylogenetic groups identified by DGGE belonged to Bacillus, Bacterium, Brevibacillus, Exiguobacterium, γ-Proteobacterium, Acinetobacter sp. and some uncultured or unidentified bacteria. The results indicated the existence of highly diverse bacterial community in the lake sediment core.     

磁湖底泥重金属污染与潜在生态风险评价

为解磁湖底泥中重金属含量、污染程度以及各污染物的潜在生物毒性,对磁湖8个底泥样品中6种金属元素(Cu、Pb、Ni、As、Hg、Cd)进行了分析研究。利用地累积指数法和单因子评价法对底泥中的重金属污染程度进行了综合性的评价。利用潜在生态风险指数法对磁湖底泥中的重金属潜在生态风险进行了评价,结果表明,磁湖底泥中主要的重金属污染物是Cd和Cu,其次是Pb、As、Ni、Hg。各重金属的潜在生态风险从大到小的排列次序为:Cd>As>Cu>Pb>Hg。     

人工湿地生态系统健康评价实证研究

建立了健康评价指标体系,改进了原有评价标准,构建了模糊综合评价模型,对苏州太湖国家旅游度假区一期人工湿地生态系统进行了健康评价,得出了度假区人工湿地健康评价综合评分为0．784,识别了健康制约因子,并提出了相应的调控措施,以期为湿地的二期、三期工程建设提供科学依据。     

Comprehensive evaluation of heavy metal contamination of sediment in Lake Dianchi by using modified AHP method and 137Cs dating

Through the use of general sampling and measurement by ¹³⁷ Cs dating, problems regarding the absence of monitoring data can easily be resolved. Further, weighted values need to be determined while Environment Quality Comprehensive Index (EQCI) is commonly used as applied in environmental quality comprehensive evaluation. In order to overcome the subjectivity in determining weights, the modified Analytical Hierarchy Process (AHP) method was designed. The modified AHP method involved the following key procedures: First, the parameters y _i1 and y _i2 were calculated based on the monitoring data; second, the factors were put in order according to the symbol and value of y _i1 and y _i2; third, the continuous odd integers, which represented the importance of factors, were given to factors according to their seating order; and, fourth, the factor weights were determined from the pair-wise comparison matrix calculated by the ratio of the given odd integers. Therefore, the weights were completely based on the monitoring data. In the present study, the comprehensive quality of sediments in five sections of Lake Dianchi were evaluated and the results indicated that the current contamination of sediments in each lake section is much more serious than at any other time in history. __________ Translated from Environmental Science, 2006, 27(8): 1531–1536 [译自: 环境科学]     

未来50年鄱阳湖流域气候变化预估

据 ECHAM5/ MPI OM模式在3种排放情景（SRES高排放A2,中排放A1B,低排放B1）下所做的21世纪前50年气候变化预估试验得到的数据,研究鄱阳湖流域2001~2050年气温和降水相对于目前气候（1961~1990年）的可能变化。结果表明：①未来50年气温在3种排放情景下都将迅速增加,远远高于1990s的增加幅度和速度。A1B情景温度增加最明显,平均气温变化达到162°C。②降水量变化相对复杂,前30年主要为减少趋势,A2情景下减少幅度最大,2020s年均降水量减少了67%;后20年降水量增加,B1情景增加最显著,2030s年增加幅度达到108%。③根据预估的各季节变化结果,1~3月和 4~6月降水量增加;而降水减少主要在7~9月和10~12月,则赣江流域类似于2003~2005年的伏旱、秋旱连冬旱的情况将可能阶段性出现,并在2011~2030年加强。④降水量的空间分异非常明显,东部变化大于西部,南部变化大于北部。⑤如果2001~2050年在A2或A1B情景下,降水序列存在20a的周期振荡;在B1情景下,存在30a的周期振荡。人类排放增加可能弱化振荡强度,并使周期发生变化。     

基于MODIS数据的地表组分温度反演研究

组分温度的反演是当前定量遥感的一个难点。与众多的陆面温度遥感模型相比,成熟的组分温度遥感模型相对较少。通过对近地面热红外辐射能量的线性展开,建立了MODIS多波段植被、土壤组分温度反演模型。该模型将组分温度与地表温度定量联系起来,模型中所涉及到的参数充分考虑到研究区湿地环境的特点。在计算组分温度时,首先利用单窗算法得到的MODIS陆面温度反演模型计算地表温度,然后由所建立的组分温度模型计算植被、土壤温度。选用2005年10月31日的鄱阳湖地区MODIS数据试验,与实测的植被、土壤温度相比,反演的组分温度的误差在15~21℃;通过对模型参数的敏感性分析,表明该模型具有一定的稳定性。实践证明,该方法能够有效实现组分温度的分离,是一种组分温度反演的较好方法。