常用高分子装饰材料的燃烧特性

利用先进的锥型量热计研究了五种常用的高分子装饰材料在暴露于不同辐射热通量条件下的燃烧性能,以及用氧指数测定仪测量了这些材料的氧指数,并将这两种方法的实验结果进行了对比。     

生态城市评价中的RBF神经网络模型--以厦门市为例

生态城市的定量化评价尚处于探索阶段,存在缺陷与不足,有待于进一步研究。本文将径向基函数(RBF)神经网络应用于生态城市评价,并在MATLAB环境下将其程序化,不但简化了评价过程,而且提高了定量评价的精度和综合性,充分体现了各因子相互作用对城市生态系统的综合效应。以此为基础,对厦门市生态化程度进行了综合评价,并对课题组在厦门市生态城市概念性规划中所作的指标目标值进行了分析,明确了相应年份规划目标值的生态化程度。若将城市历年指标值进行规范化处理。通过RBF神经网络进行定量评价,可分析城市的发展轨迹,为生态城市建设提供科学依据和决策支持。     

沈阳市浑南新区规划环境影响评价指标体系的建立

研究和探讨了规划环境影响评价指标的确定原则与方法,建立了沈阳市浑南新区规划环境影响评价指标体系,指标体系分目标层、准则层、指标层三个层次,包括社会生态指标、经济生态指标、环境生态指标和环境资源支撑指标四大类三十项。     

A Comparison of Biomonitoring Methods for the Estimation of Atmospheric Pollutants in an Industrial Town in Austria

In the period between 1999 and 2000 epiphytic bryophytes were taken as bioindicators for air pollution by use of the IAP method (Index of Atmospheric Purity) and the VDI method within the Association of Engineers standards list (adapted from guideline 3799, 1995) in the heavy industrialized town of Linz, Austria. 52 study sites (265 trees) were analysed regarding species richness, coverage, and vitality. Q-values (sensitivity factors), calculated for each species showed significant differences for the various host tree species. The results gained by the IAP and the VDI methods were diverse, regarding the various sites where only 25% were classified identical. These differences can mainly be attributed to the differing host tree species and the size of the recording area on the various trees. Clusters of similar pollution levels were calculated and drawn as maps for both methods tested. Comparing the results of the IAP and the VDI methods with data derived from technical measurements (SO₂, NO, NO₂, and dust) a correlation between IAP-indices and SO₂ concentrations could be observed. No correlation was detected between the results derived from VDI recording and for NO, NO₂, and dust.     

基于RVI分区的淀山湖蓝藻暴发期叶绿素a的遥感估测

以淀山湖为研究区域,利用MODIS数据探讨蓝藻暴发期叶绿素a质量浓度〔ρ(Chla)〕的遥感估算方法.为了提高估算精度,解决蓝藻暴发期因ρ(Chla)差异较大而产生的估测模型的参数适应性问题,引入比值植被指数(Ratio Vegetation Index,RVI)分类法,将RVI＞0.95的区域界定为高蓝藻含量水体,将RVI≤0.95的区域界定为较清洁水体,并基于分区分别建立遥感估算模型.结果表明,分区后MODIS数据叶绿素a估测模型能更好地映射ρ(Chla)的变化,基于RVI的分类估算方法可以有效地提高淀山湖水体蓝藻暴发期ρ(Chla)的估算精度.      

嘉陵江流域降水变化及旱涝多时间尺度分析

依据嘉陵江流域1961-2012 年的气象数据,采用数理统计方法结合GIS空间分析技术,探讨了嘉陵江流域降水量时空变化和旱涝灾害特征。结果表明:近52 a 来全流域年平均降水量以13.69 mm/10 a 的速率减少,并在1984 年发生突变,随后降水量明显减少;从区域分析看,受季风和海拔高度等因素的影响,降水量东南多西北少;近52 a 来,除达县和沙坪坝两个站点降水量呈微弱增加外,其余地区降水量均呈减少趋势,略阳-广元-绵阳一带降水量减少速率最高。嘉陵江流域20 世纪60 年代偏涝,涝灾发生频率高;70 至80 年代旱涝灾害交替出现,整体偏涝;90 年代以来,该流域旱灾发生频率与程度均高于涝灾,整体偏旱;该流域由涝灾向旱灾转化的趋势明显。     

松花江流域水生态环境中生物与生境和化学要素间的关联 性研究

利用2012年松花江流域生物、生境和水质的调查数据,采用生物完整性指数(IBI)评价松花江流域的水生态环境质量,并着重对IBI评价结果与生境质量、水质间的关系及生物与生境和化学参数间的相关关系进行了分析。结果表明,松花江流域IBI评价结果与其生境质量存在显著正相关,与水质评价结果基本一致。生境质量及大多数生境参数均与多项生物参数间存在显著/极显著的相关关系;其次,COD、CODMn、BOD5、TN、TP等超标化学因子也与多项生物参数存在显著/极显著的相关关系,说明生境受损和有机污染压力是引起松花江流域水生态环境质量变化的主要压力。为恢复和改善松花江流域的水生态质量,研究建议针对流域生境质量和超标化学污染开展相应的保护和控制措施。     

苏州河近20年水质状况研究

通过对近20年来上海市苏州河沿程13个断面的常规水质监测教据进行整理分析,总结各常规监测指标项目的变化趋势.并通过分析沿程水质变化和几项重要水质指标的比值变化并探讨了变化的原因,从而得出上海市苏州河水质得到明显改善的结论.     

Long-Term Variability in Bioassessments: A Twenty-Year Study from Two Northern California Streams

Long-term variability of bioassessments has not been well evaluated. We analyzed a 20-year data set (1984–2003) from four sites in two northern California streams to examine the variability of bioassessment indices (two multivariate RIVPACS-type O/E scores and one multimetric index of biotic integrity, IBI), as well as eight metrics. All sites were sampled in spring; one site was also sampled in summer. Variability among years was high for most metrics (coefficients of variation, CVs ranging from 16% to 246% in spring) but lower for indices (CVs of 22–26% for the IBI and 21–32% for O/E scores in spring), which resulted in inconsistent assessments of biological condition. Variance components analysis showed that the time component explained variability in all metrics and indices, ranging from 5% to 35% of total variance explained. The site component was large (i.e., >40%) for some metrics (e.g., EPT richness), but nearly absent from others (e.g., Diptera richness). Seasonal analysis at one site showed that variability among seasons was small for some metrics or indices (e.g., Coleoptera richness), but large for others (e.g., EPT richness, O/E scores). Climatic variables did not show consistent trends across all metrics, although several were related to the El Ni?o Southern Oscillation Index at some sites. Bioassessments should incorporate temporal variability during index calibration or include climatic variability as predictive variables to improve accuracy and precision. In addition, these approaches may help managers anticipate alterations in reference streams caused by global climate change and high climatic variability.     

Avian sensitivity to mortality: Prioritising migratory bird species for assessment at proposed wind farms

Wind power generation is likely to constitute one of the most extensive human physical exploitation activities of European marine areas in the near future. The many millions of migrating birds that pass these man-made obstacles are protected by international obligations and the subject of public concerns. Yet some bird species are more sensitive to bird–wind turbine mortality than others. This study developed a simple and logical framework for ranking bird species with regard to their relative sensitivity to bird–wind turbine-collisions, and applied it to a data set comprising 38 avian migrant species at the Nysted offshore wind farm in Denmark. Two indicators were selected to characterize the sensitivity of each individual species: 1) relative abundance and 2) demographic sensitivity (elasticity of population growth rate to changes in adult survival). In the case-study from the Nysted offshore wind farm, birds of prey and waterbirds dominated the group of high priority species and only passerines showed a low risk of being impacted by the wind farm. Even where passerines might be present in very high numbers, they often represent insignificant segments of huge reference populations that, from a demographic point of view, are relatively insensitive to wind farm-related adult mortality. It will always be important to focus attention and direct the resources towards the most sensitive species to ensure cost-effective environmental assessments in the future, and in general, this novel index seems capable of identifying the species that are at high risk of being adversely affected by wind farms.