城市轨道交通噪声评价方法及其限值的研究

根据城市轨道交通噪声时、空分布特点及污染规律,对轨道交通噪声评价量作了分析研究,提出了列车通过时的最大声级作为城市轨道交通噪声的评价量,并根据噪声时问分布特性曲线提出了与之相对应的等效声级简易计算方法.通过对上海轨道交通3号线沿线居民区的主、客观调查,得到主观烦恼度阈值和干扰睡眠阈值,提出了适用于我国城市轨道交通的环境噪声限值(建议).     

粪大肠菌群多管发酵测定法的改进研究

对地表水和废水中粪大肠菌群目前通用的多管发酵检测方法进行优化。将水样接种至乳糖蛋白胨培养液后,在44.5℃±0.5℃培养箱中培养24h记录结果,并与优化前的方法进行对比。结果表明,改进后的方法在时间上比改进前节省了约24~48小时,但两者在结果上无统计学意义的差别。多管发酵改进法可以用于地表水和废水中粪大肠菌群的检测。     

联合上限法和主应力法确定模具表面压力分布的研究(Ⅰ)

提出了一种联合上限法(Upper Bound Method)和主应力法(Slab Method)确定模具与金属接触表面压力分布的方法.这是一种基于利用上限法确定金属流动和变形区,然后根据主应力法原理计算接触面压力分布的方法,简称UBM/SM联合法.这种方法较其它方法简便,而且能给出计算压力分布的解析式.本文阐述该法的基本原理,并用它计算杯形件反挤时凸凹模表面的压力分布.     

生态城市动态指标体系的构建与分析

阐述了生态城市的内涵,并从城市的经济系统、社会系统、自然生态系统三个方面构建了生态城市的指标体系。 体系还体现了不同城市的地域特点,以及城市复合生态系统的动态平衡。最后以苏州市为例。分析了其生态化进程。     

联合上限法和主应力法(UBM/SM法)确定模具表面压力分布的研究(Ⅱ)

本文根据前文所提联合上限法和主应力法确定模具表面压力分布的基础原理,计算了圆柱坯料正挤压和十字头锻件镦挤时模具表面的压力分布,所得结果与测定值很吻合,进一步证明了UBM/SM法实际应用的可靠性.     

关于塑性应变比的测定

此文用直接法和间接法研究了δ值和计算方法对γ值的影响。发现γ值基本上与δ无关。δ只影响其测量精度,δ愈大愈有利于提高γ的测量精度。计算方法对γ值的影响只在δ值较小时。随δ增大,计算方法的影响逐步消除。     

冶金企业无组织排放颗粒物影响评价

以上海市某冶金企业为例,该厂有正常运行的冶炼炉13座,每年向大气中排放大量颗粒污染物.基于高斯倾斜烟羽模式,整理了2003年上海市全年的气象资料,运用气象概率矩阵法计算了该厂直排点源及无组织面源排放颗粒物的影响,得出了厂区内无组织排放颗粒物落地浓度等值线图.计算结果表明,厂区内颗粒物污染主要来自无组织面源,污染集中在厂区中心的污染源附近;直排点源对环境的影响较小,污染主要集中在下风向.     

Assessment of contribution of SO2 and NO2 from different sources in Jamshedpur region, India

Contribution of pollution from different types of sources in Jamshedpur, the steel city of India, has been estimated in winter 1993 using two approaches in order to delineate and prioritize air quality management strategies for the development of region in an environmental friendly manner. The first approach mainly aims at preparation of a comprehensive emission inventory and estimation of spatial distribution of pollution loads in terms of SO₂ and NO₂ from different types of industrial, domestic and vehicular sources in the region. The results indicate that industrial sources account for 77% and 68% of the total emissions of SO₂ and NO₂, respectively, in the region, whereas vehicular emissions contributed to about 28% of the total NO₂ emissions. In the second approach, contribution of these sources to ambient air quality levels to which the people are exposed to, was assessed through air pollution dispersion modelling. Ambient concentration levels of SO₂ and NO₂ have been predicted in winter season using the ISCST3 model. The analysis indicates that emissions from industrial sources are responsible for more than 50% of the total SO₂ and NO₂ concentration levels. Vehicular activities contributed to about 40% of NO₂ pollution and domestic fuel combustion contributed to about 38% of SO₂ pollution. Predicted 24-h concentrations were compared with measured concentrations at 11 ambient air monitoring stations and good agreement was noted between the two values. In-depth zone-wise analysis of the above indicates that for effective air quality management, industrial source emissions should be given highest priority, followed by vehicular and domestic sources in Jamshedpur region.     

Distribution normality of pH and H<Superscript>+</Superscript> activity in soil

Soil pH, a log-transformed form of hydrogen ion (H⁺) activity, is often used for various statistics. However whether soil pH meets the requirement of distribution normality for statistical analyses is unknown. We studied the statistical suitability of both soil pH and H⁺ activity by examining their distribution normalities. Results show that the variability of H⁺ activity is higher and its distribution is skewer, which is significantly different from the normal and soil pH, regardless of soil conditions and analytical methods. Here we demonstrate that soil pH is more appropriate than the H⁺ activity for performing statistical analysis in terms of distribution normality.     

Modelling the response of tree growth to temperature and CO2 elevation as related to the fertility and current temperature sum of a site

A methodology for simulating climate change impacts on tree growth was introduced into a statistical growth and yield model in relation to variations in site fertility and location implemented with current temperature sum. This was based on a procedure in which the relative enhancement in stem volume growth was calculated from short-term runs of a physiological simulation model for Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) Karst.) and silver birch (Betula pendula Roth.) stands. These simulations were made for a set of stands with species-specific variations in stand characteristics, location and fertility type first in current climatic conditions and then in different combinations of CO₂ and temperature elevations. Based on these simulations, the relative enhancement of volume growth induced by the climate change (relative scenario effect, RSEv) was calculated and modelled in relation to: (i) CO₂ and temperature elevation, stand density and the competition status of the tree in its stand, and (ii) variations in site fertility type and current temperature sum of a stand. Finally, these transfer functions for RSEv were applied to adapt the stem volume growth in the statistical growth and yield model to reflect the response to climate change.