脱色菌腐败希瓦氏菌的分离及其脱色性能研究

从印染废水处理装置中分离到一株高效脱色菌,经鉴定为腐败希瓦氏菌(Shewanella putrefaciens),这是该菌具有高效脱色性能的首次报道。在实验条件下,对该菌的脱色能力进行比较研究,它在合适条件下能有效地去除生产上常用的多种染料,在6h内对活性艳红染料的去除率可达99％～100％。实验中对充氧、温度以及共代谢碳源等因子对该苗的脱色能力的影响进行了研究,为在生产实际中的应用提供了依据。     

国内外冶金行业安全标准对比研究与分析

本文重点介绍了《国内外冶金行业安全标准对比研究》项目开展的基本情况,阐述了我国与欧美国家冶金行业安全标准体系和相关专业安全标准条款的对比内容,分析了我国冶金行业安全标准同欧美发达国家之间存在的差距与不足,有针对性地提出了我国冶金行业安全标准实现与国际发达国家接轨的对策措施和工作方向。     

云南某冶炼废渣堆渗滤液产生及其影响因素研究

渗滤液作为渣堆对周边水土的主要污染源,是污染场地原位风险管控的关键对象。云南某历史遗留冶炼废渣堆出现了渗滤液产生量少、空间分布位置有限的特殊现象。为研究该冶炼废渣堆渗滤液产生的控制条件和影响因素,基于详细勘察和野外现场调查试验结果,构建了渣体包气带水文地质概念模型,并结合HYDRUS软件分析了不同条件下渣体包气带的水分变化。结果表明：该厚层渣体包气带水分运移深度有限,正常降雨条件下该渣体产生渗滤液的临界深度为8.8 m;暴雨条件下熔炼渣相较于石膏渣和生活垃圾更易产生渗滤液;渣体包气带越厚、初始体积含水率越低、渣体物质组成及其结构越复杂、覆土层越厚的条件下,渣体越难产生渗滤液。该研究结果对我国类似冶炼废渣堆原位风险管控处置具有重要的参考价值。     

太湖叶绿素a浓度时空分异及其定量反演

利用2005年实测叶绿素a浓度数据分析了太湖叶绿素a浓度的时空分布特征,并利用同步光谱数据,分季节对太湖叶绿素a浓度的反演模型进行研究,从而分析叶绿素a的时空变化对反演模型的影响.首先分析1a内叶绿素a浓度随时间的变化规律,然后利用反距离加权插值法绘制叶绿素a浓度不同季节空间分布图,分析叶绿素a浓度在不同季节的空间分布规律,在此基础上分春、夏、秋3个季节和中营养化、轻度富营养化、中度富营养化、重度富营养化4个营养状态进行叶绿素a浓度定量反演模型研究.结果表明,太湖叶绿素a浓度具有明显的时空分布特征.夏季叶绿素a浓度最高,冬季最低,平均浓度分别为56.29μg/L、13.61 μg/L.秋季由于受到夏季高浓度的影响,叶绿素a浓度高于春季,平均值分别为26.43μg/L、34.78μg/L;夏季叶绿素a浓度空间变化最大,冬季全湖叶绿素a浓度含量较为均一,空间变化不明显,秋季空间差异要大于春季;全年北部湖区的空间差异较大,而南部湖区相对较小.不同季节叶绿素a反演算法模型不同,春、秋季波段比值法反演效果较好;而夏季微分法反演效果明显好于其它反演算法,不同营养状态条件下反演算法差异相对较小.     

太湖CDOM紫外吸收特性及其分子量时空分布特征

基于2006年8月16日、2007年3月28日对太湖梅梁湾15个样点和2007年11~12月对全湖61个样点的有色溶解性有机物(CDOM)吸收系数观测数据,对CDOM分子量相对大小的时空差异及其影响因素进行了分析.结果表明,梅梁湾地区主要富集的是高分子量CDOM,而大太湖地区则较为复杂,北部地区主要是高分子量的CDOM占据主导地位;而在太湖东西部,主要是低分子量的CDOM;南太湖区域,高分子量的CDOM和低分子量的CDOM相对平衡.不同波长范围内CDOM吸收模型的斜率系数(S)值对CDOM的分子组成的敏感性具有一定的差异性,UVR最为敏感,其次是UV-A,再次为UV-B,UV-C最不敏感.梅梁湾CDOM主要影响因素是陆源,陆源影响的强度随季节的变化具有一定的差异,其中8月份最强,其次是3月份,最弱为11月份.     

Deep-sea caging of the mussel Mytilus galloprovincialis: Potential application in ecotoxicological studies

We experimented with caging the Mediterranean mussel (Mytilus galloprovincialis) at various depths for 69 d to measure basic physiological parameters, histological response and bio-accumulation of contaminants in a deep-sea contaminated area. In preliminary experiments, we demonstrated, under artificial pressure conditions, the ability of mussels Mytilus galloprovincialis to tolerate rapid immersion (at a speed of up to 120 m min^?1). In situ experiments were performed using submerged lines enabling mussels to be maintained at depths ranging of 40–1550 m with survival rates ranging from 80 to 38%, respectively. No significant differences in condition indexes were observed between treated and control specimens. However, histological observations demonstrated a clear reduction in thickness of the digestive epithelium with increasing depth exposure. By determining the contaminants in caged mussels, we found the following values for chromium accumulation: 27.4 μg g^?1 dry weight at 580 m depth and 9.8 μg g^?1 dry weight at 1550 m. Selected stations were located downstream of an industrial effluent at 420 m. The biological and environmental consequences of deep-sea contamination demonstrate the suitability of caged mussels for monitoring contaminant accumulation.     

UV/微曝气联用工艺对内分泌干扰物BP的去除效果和影响因素

采用新型工艺UV/微曝气对水中内分泌干扰物4-叔丁基苯酚（BP）进行降解研究.结果表明,UV/微曝气是一种高级氧化法,可以有效去除水中BP;UV/微曝气联用工艺降解BP受本底TOC值、BP初始浓度值、UV光强以及溶液初始pH影响较大.随着TOC值的降低,BP降解速率k₁迅速增加;随着光强的增大,BP的降解速率呈线性增长;在189～410 μg/L浓度范围内,k₁随着BP浓度的增大而逐步增大,在410～971 μg/L浓度的范围内,k₁随着浓度的增大而逐步降低;pH 2.77～4.01范围内UV/微曝气对BP降解速率较大,pH 4.70～8.16范围内UV/微曝气对BP降解速率较低.     

水中内分泌干扰物-壬基酚的去除研究进展

壬基酚是一种内分泌干扰物,主要来源于NPEO,能通过生物富集作用进入生物体内并造成危害。当前检测水样中壬基酚的主要方法是采用GC—MS,预处理采用固相萃取。研究表明自来水厂的常规处理工艺对于壬基酚的去除有限;而活性炭、有机蒙脱土吸附等物理方法,超声声化、电化学氧化、光分解等化学方法可有效降解水中的壬基酚。     

利用海上测量光谱进行赤潮监测

利用太平洋东海岸加拿大温哥华海域56个观测站位现场实测的海洋表面光谱（400-800hm）反射率值和叶绿索、泥沙浓度资料，研究了赤潮发生时海面水体光谱反射率的变化趋势，以了解清洁水体与赤潮水体的不同特征。经过多组数据的比较分析，发现相对于清洁海水的海面光谱反射率，赤潮发生时海面光谱反射率曲线的荧光峰从685nm波长向710hm的红光波长位移；清洁海水海洋表面光谱反射率平均值在400-588nm之间比赤潮海水的平均反射率值大，在波长588nm处两值相交后，清洁海水的反射率值小于赤潮水体的反射率值，而在688nm处清洁海水和赤潮水体反射率值大小相等（大约为0．25），其后保持赤潮海水的反射率值在688—756nm之间一直高于清洁海水的平均反射率值。清洁海水和赤潮水体不同的荧光峰值以及不同的光谱反射率特征之间的差异，可以用于监测赤潮的最佳波段选择。     

Use of Large‐Scale Acoustic Monitoring to Assess Anthropogenic Pressures on Orthoptera Communities

Biodiversity monitoring at large spatial and temporal scales is greatly needed in the context of global changes. Although insects are a species‐rich group and are important for ecosystem functioning, they have been largely neglected in conservation studies and policies, mainly due to technical and methodological constraints. Sound detection, a nondestructive method, is easily applied within a citizen‐science framework and could be an interesting solution for insect monitoring. However, it has not yet been tested at a large scale. We assessed the value of a citizen‐science program in which Orthoptera species (Tettigoniidae) were monitored acoustically along roads. We used Bayesian model‐averaging analyses to test whether we could detect widely known patterns of anthropogenic effects on insects, such as the negative effects of urbanization or intensive agriculture on Orthoptera populations and communities. We also examined site‐abundance correlations between years and estimated the biases in species detection to evaluate and improve the protocol. Urbanization and intensive agricultural landscapes negatively affected Orthoptera species richness, diversity, and abundance. This finding is consistent with results of previous studies of Orthoptera, vertebrates, carabids, and butterflies. The average mass of communities decreased as urbanization increased. The dispersal ability of communities increased as the percentage of agricultural land and, to a lesser extent, urban area increased. Despite changes in abundances over time, we found significant correlations between yearly abundances. We identified biases linked to the protocol (e.g., car speed or temperature) that can be accounted for ease in analyses. We argue that acoustic monitoring of Orthoptera along roads offers several advantages for assessing Orthoptera biodiversity at large spatial and temporal extents, particularly in a citizen science framework. El Uso de Monitoreos Acústicos a Gran Escala para Estudiar las Presiones Antropogénicas sobre Comunidades de Orthoptera