Status of the Riparian Ecosystem in the Upper San Pedro River, Arizona: Application of an Assessment Model

A portion of Arizona’s San Pedro River is managed as a National Riparian Conservation Area but is potentially affected by ground-water withdrawals beyond the conservation area borders. We applied an assessment model to the Conservation Area as a basis for monitoring long-term changes in riparian ecosystem condition resulting from changes in river water availability, and collected multi-year data on a subset of the most sensitive bioindicators. The assessment model is based on nine vegetation bioindicators that are sensitive to changes in surface water or ground water. Site index scores allow for placement into one of three condition classes, each reflecting particular ranges for site hydrology and vegetation structure. We collected the bioindicator data at 26 sites distributed among 14 reaches that had similar stream flow hydrology (spatial flow intermittency) and geomorphology (channel sinuosity, flood-plain width). Overall, 39% of the riparian corridor fell within condition class 3 (the wettest condition), 55% in condition class 2, and 6% in the driest condition class. Condition class 3 reaches have high cover of herbaceous wetland plants (e.g., Juncus and Schoenoplectus spp.) along the perennial stream channel and dense, multi-aged Populus-Salix woodlands in the flood plain, sustained by shallow ground water in the stream alluvium. In condition class 2, intermittent stream flows result in low cover of streamside wetland herbs, but Populus-Salix remain abundant in the flood plain. Perennial wetland plants are absent from condition class 1, reflecting highly intermittent stream flows; the flood plain is vegetated by Tamarixa small tree that tolerates the deep and fluctuating ground water levels that typify this reach type. Abundance of herbaceous wetland plants and growth rate of Salix gooddingii varied between years with different stream flow rates, indicating utility of these measures for tracking short-term responses to hydrologic change. Repeat measurement of all bioindicators will indicate long-term trends in hydro-vegetational condition.     

Characterisation of PM10, PM2.5 and Benzene Soluble Organic Fraction of Particulate Matter in an Urban Area of Kolkata, India

In this study, the relationship between inhalable particulate (PM₁₀), fine particulate (PM_2.5), coarse particles (PM_{2.5 – 10}) and meteorological parameters such as temperature, relative humidity, solar radiation, wind speed were statistically analyzed and modelled for urban area of Kolkata during winter months of 2003–2004. Ambient air quality was monitored with a sampling frequency of twenty-four hours at three monitoring sites located near traffic intersections and in an industrial area. The monitoring sites were located 3–5 m above ground near highly trafficked and congested areas. The 24 h average PM₁₀ and PM_2.5 samples were collected using Thermo-Andersen high volume samplers and exposed filter papers were extracted and analysed for benzene soluble organic fraction. The ratios between PM_2.5 and PM₁₀ were found to be in the range of 0.6 to 0.92 and the highest ratio was found in the most polluted urban site. Statistical analysis has shown a strong positive correlation between PM₁₀ and PM_2.5 and inverse correlation was observed between particulate matter (PM₁₀ and PM_2.5) and wind speed. Statistical analysis of air quality data shows that PM₁₀ and PM_2.5 are showing poor correlation with temperature, relative humidity and solar radiation. Regression equations for PM₁₀ and PM_2.5 and meteorological parameters were developed. The organic fraction of particulate matter soluble in benzene is an indication of poly aromatic hydrocarbon (PAH) concentration present in particulate matter. The relationship between the benzene soluble organic fraction (BSOF) of inhalable particulate (PM₁₀) and fine particulate (PM_2.5) were analysed for urban area of Kolkata. Significant positive correlation was observed between benzene soluble organic fraction of PM₁₀ (BSM10) and benzene soluble organic fraction of PM_2.5 (BSM2.5). Regression equations for BSM10 and BSM2.5 were developed.     

中温和高温厌氧生物产氢反应器连续运行的研究

采用2个厌氧生物产氢反应器分别在中温(37℃)和高温(55℃)下连续运行.以河底沉积物接种,葡萄糖为基质,在CSTR中成功实现了连续中温厌氧产氢,最高产氢量达8.6L/(L·d),基质产氢摩尔比(H₂/葡萄糖)为1.98.以厌氧产甲烷颗粒污泥接种,蔗糖为基质,在UASB反应器中成功实现了连续高温厌氧产氢过程,最高产氢量达6.8L/(L·d),基质产氢摩尔比(H₂/蔗糖)为3.6.在高温UASB反应器中培养获得了灰白色的产氢颗粒污泥,平均粒径为0.8～1.2mm,沉速为30～40m/h,电镜观察发现其表层生长大量杆状细菌.对2种产氢污泥的总DNA进行提取和纯化,通过PCR扩增和DGGE分析,发现高温和中温厌氧产氢污泥中的大部分真细菌种类相同,但各自的优势菌种明显不同.     

絮凝条件对絮体分形结构的影响

在85kg/m³的含沙高浊水中投加阳离子高分子聚合物,借助图像分析技术与沉降技术分析探讨了不同絮凝条件下泥沙絮凝形态学参数:絮体粒径、絮体有效质量密度、絮体自由沉速、浑液面沉速与上清液余浊等的变化规律.利用表征参数“分维”定量控制不同絮凝条件(如搅拌速率、搅拌时间、高分子浓度等)对含沙高浊水絮体结构分形特性的影响.实验证明,不合适的絮凝条件将导致絮体分形构造疏松脆弱,分维值低.絮凝条件合适时(快速絮凝强度为:r₁=300r/min,t₁=10s;慢速絮凝强度:r₂=120r/min,t₂=180s;CP浓度:0.1%),絮体分形结构处于最佳状态.该状态下的絮体具有粒径较大、沉速快、有效质量密度高、粒度分布均匀,分维值最高(D₃=2.16)的特点.而且,由静沉实验测得浑液面沉速高,上清液余浊也低.泥沙絮体分形结构达最佳时的混凝性能、沉降性能与结构密实性均较理想.     

某冶炼厂周边土壤环境Cd元素现状调查、污染预警及综合治理

对某冶炼厂以南约30km^3的区域进行了Cd元素土壤地球化学调查,分析了造成Cd富集的原因。通过统计分析,总结了土壤中Cd含量的空间分布特征(包括区域分布和垂向分布),并结合Cd元素的赋存形式、迁移机制对这些特征的成因进行了较为具体的解释。计算了该区cd的污染指数,以及受不同程度污染的土壤面积占研究区面积的百分比。运用“化学定时炸弹”的理论,对该区土壤达到I}缶界含量的年限进行了估测。针对该区的污染来源及状况,提出了综合治理对策。     

Theoretical equation of gas desorption of particle coal under the non-uniform pressure condition and its analytical solution

Based on the second Fick’s law, the theoretical equation of gas desorption of particle coal under the non-uniform pressure condition was developed in this paper. The analytical solution of the theoretical equation and the method of gas desorption quantity of particle coal under non-uniform pressure condition were obtained.     

救生舱高温环境的传热研究

为提高救生舱热防护能力,延长救援时间,在空载状态下救生舱热载荷研究的基础上,提出救援状态下救生舱外部传热热负荷的量化方法。已知救援状态下救生舱内、外温度随时间变化曲线,拟合温度函数。依据温度变化特点划分区间,积分求取各区间上温度平均值,计算温差,由传热方程计算救援状态下救生舱的热载荷。以某型号救生舱载人综合防护试验为例,根据模拟灾变环境的温度变化特点,运用该方法计算最高温度与常态温度下外部高温空气向舱体及其内部空间传热的热载荷,得到救生舱的总热负荷,外部传热最大传热功率及救生舱热载荷负荷范围。     

不同碳源及光照对小球藻生长和产油脂的影响

考察了3种碳源(葡萄糖、NaHCO3和乙酸钠)在不同初始质量浓度和光照条件下对小球藻(Chlorella vulgaris)生长和产油脂的影响。采用OD680和生物量来评价小球藻的生长情况;以溶剂浸提法提取生物油脂,并以油脂质量分数和油脂产量来描述产油脂特性。结果表明,经过9 d的培养,3种碳源中葡萄糖是最佳有机碳源。由其培养的小球藻生长速率最快,由NaHCO3培养的小球藻的生长效果不如葡萄糖,而乙酸钠不利于小球藻的生长。随着光照的增强,小球藻光合效率提高,生物量逐渐提高,5 000 lx最利于小球藻的生长,而1 600 lx最利于小球藻油脂的积累。研究表明,光照5 000 lx下,初始质量浓度为15 g/L的葡萄糖作为碳源是小球藻适宜的生长和产油条件,获得了3.17 g/L的最大生物量和1.025 g/L的最大油脂产量。     

汽车尾气净化催化剂Ag/SAPO-34选择性催化还原NO

评价了Ag/SAPO-34分子筛催化剂选择性还原NO的活性,并运用漫反射红外光谱原位研究NO在Ag/SAPO-34催化剂上的选择性催化还原机理.结果表明Ag/SAPO-34有良好的低温活性,在氧气浓度为3.6%和温度为573K～673K时NO还原成N2的转化率达70%;催化剂活性随C3H6浓度的增加而升高,随空速的增加而稍有下降.基于漫反射红外光谱,认为反应机理为:NO、丙烯和氧反应,在Ag/SAPO-34催化剂上生成吸附的有机-氮氧化物,再由这些吸附物种分解成N₂,催化还原的关键是形成有机-氮氧化物中间体.氧的作用是充分促进丙烯活化以及增加NO_x吸附态含量,并且氧的存在是有效产生一系列中间物不可缺少的条件.     

飞行员人因可靠性定量预测

为有效预测飞行员的人因可靠性,以保障飞行安全,基于认知可靠性与失误分析法(CREAM)的扩展法,建立飞行员人因可靠性定量预测模型。依据飞行员的任务特点,调整认知行为及认知功能。通过优化共同绩效条件(CPC)因子水平等级,并增加新的因子,改进CPC因子依赖规则,用于修正因子的初始评估结果,解决扩展法未考虑因子间关系的问题,从而完成模型的建立。利用回看分析法验证模型的有效性,采用所建立的模型和扩展法分别对已发生的飞行案例进行预测,并与实际发生结果对比分析。结果表明,与扩展法相比,采用飞行员定量预测模型得到的预测结果与案例发生结果所反映的控制模式更为匹配。