北京大气中BTEX的观测分析与研究

采用二步深冷浓缩与气相色谱/质谱联机对北京大气中的苯类物质(BTEX) 进行了长期连续观测.最近4年观测数据表明:日变化有双峰和3峰变化,冬、春季呈现与交通高峰期吻合的双峰变化,即上午08:00至10:00和下午17:00前后各出现一个高值;秋季日变化中,夜间22:00出现第3峰值;夏季日变化呈3峰型,最大峰值在正午前后.2000～2002年BTEX月平均总浓度为(44.1±24.5) nmol/mol(碳单位),季变化峰值出现在夏季.年际变化趋势中,北京大气BTEX的总平均浓度从 1999 年到2002年大幅度下降.     

Ca/S比小于1条件下半干半湿法烟气脱硫技术的研究

通过对煤中灰分、粉煤灰中碱性物质成分、含量的分析 ,证明在Ca/S小于 1的条件下进行半干半湿法烟气脱硫是可行的。阐述了粉煤灰中碱性物质被有效利用的条件为高温、高湿和高压 ,该条件可以通过蒸汽输送粉煤灰来实现。     

泥沙对双酚A的吸附及其影响因素研究

以黄河泥沙为例,用SPE HPLC MS MS的方法分析了双酚A在泥沙上的吸附规律及其影响因素.结果表明,由于黄河泥沙碳酸盐含量较高,双酚A的等温吸附规律不能用线性吸附方程和Freundlich吸附方程来描述;去除泥沙中碳酸盐后,泥沙对双酚A的吸附量增加,且其吸附规律可用线性吸附方程和Freundlich吸附方程来描述.泥沙总有机质含量和可溶态有机质含量都会影响双酚A的吸附,沉积物和悬浮物对双酚A的吸附量分别与其可溶态有机质含量负相关;由于价态不同,钙离子和钾离子对双酚A的吸附影响规律相反,随着钙离子浓度的增加双酚A吸附量亦增加,而随着钾离子浓度的增加双酚A吸附量却减少.     

洹河底泥中有机污染物调查与分析

介绍了GC/MS联用仪对河流底泥中微量有机污染物进行定性、定量分析的实验方法,探讨了底泥与地表水中有机物种类和含量间的关系。     

提高A/O法处理生活污水脱氮效率探究

将A/O(厌氧/好氧)法处理生活污水设施的好氧生物滤池出口的硝化液回流到厌氧生物滤池进行反硝化生物脱氮,经过生产运行的实践证明:改进后的出水水质稳定,TN(总氮)去除率由原来的13.2%提高到54.6%,同时COD、BOD5、SS的去除率也分别由原来的83%、92.1%、89.2%提高到85.5%、95.2%、90%,且设施改进投资及运行费用省,对提高污水脱氮效果有应用价值。     

Fenton试剂催化氧化--混凝法处理焦化废水的实验研究

用Fenton试剂结合自制聚硅硫酸铝对焦化废水进行了催化氧化—混凝试验研究 ,选择了最佳的工作条件。结果表明 ,经氧化—混凝处理后废水的COD从 1 1 73mg/L降至 38.2mg/L ,去除率达 96 .7%。研究中还发现 ,Fenton试剂具有将废水的 pH值调节为 2 .5～ 3的特性 ,为该工艺实际处理焦化废水提供了科学依据     

水样中镉镍的两次双波长分光光度法测定

研究采用两次双波长分光光度法 ,一次采用双峰双波长法 ,一次采用系数补偿法同时测定水样中的镉和镍。实验结果表明 ,以 5 Br PADAP为显色剂 ,镉和镍的最大吸收峰分别为 544 .8nm和 559.2nm ,最小吸收峰均为 430nm ;镉镍的线性范围为 1～ 1 6μg/ 2 5mL。此法的灵敏度同单波长法相比有明显的提高 ,应用于合成和电镀水样中的镉镍的测定 ,均得到了满意的结果。     

亚铁活化过硫酸钠氧化预处理电镀废水

针对电镀生产过程产生的难降解、高浓度的有机废水,采用Fe~(2+)活化过硫酸钠产生硫酸根自由基的高级氧化技术对其进行预处理。重点探讨了S_2O_8~(2-)投加量、n(Fe~(2+))∶n(S_2O_8~(2-))、废水pH等因素对有机物去除及废水可生化性的影响。实验结果表明,常温下,在S_2O_8~(2-)投加量为4.0 g/L、n(Fe~(2+))∶n(S_2O_8~(2-))为1.00、废水pH为7.0的条件下,废水的处理效果最佳,反应20 min后COD去除率可达70%,BOD_5/COD从原水的0.21升至0.40,废水的可生化性大幅提高,能够满足深度生化处理的要求。     

A COST‐BENEFIT ANALYSIS OF WATER QUALITY PROTECTION IN THE CATAWBA BASIN1

ABSTRACT: The primary objective of this study was to perform a cost‐benefit analysis of maintaining the current level of water quality in the Catawba River basin. Economic benefits were estimated using a stated preference survey method designed to value respondents' willingness to pay for a management plan to protect water quality in the Catawba basin over time. From the surveys conducted with 1,085 area residents, we calculated an annual mean willingness to pay of $139 for the management plan, or more than $75.4 million for all taxpayers in the area. Over the five‐year time horizon in which respondents were asked to pay for the management plan, this resulted in a total economic benefit of $340.1 million. The Watershed Analysis Risk Management Framework model was used to estimate the amount of management activities needed to protect the current level of water quality in the basin over time. Based on the model results, the total cost of the management plan was calculated to be $244.8 million over a ten‐year period. The resulting cost‐benefit analysis indicated that the potential benefits of this management plan would outweigh the costs by more than $95 million.     

Validating graph-based connectivity models with independent presence–absence and genetic data sets

Habitat connectivity is a key objective of current conservation policies and is commonly modeled by landscape graphs (i.e., sets of habitat patches [nodes] connected by potential dispersal paths [links]). These graphs are often built based on expert opinion or species distribution models (SDMs) and therefore lack empirical validation from data more closely reflecting functional connectivity. Accordingly, we tested whether landscape graphs reflect how habitat connectivity influences gene flow, which is one of the main ecoevolutionary processes. To that purpose, we modeled the habitat network of a forest bird (plumbeous warbler [Setophaga plumbea]) on Guadeloupe with graphs based on expert opinion, Jacobs’ specialization indices, and an SDM. We used genetic data (712 birds from 27 populations) to compute local genetic indices and pairwise genetic distances. Finally, we assessed the relationships between genetic distances or indices and cost distances or connectivity metrics with maximum-likelihood population-effects distance models and Spearman correlations between metrics. Overall, the landscape graphs reliably reflected the influence of connectivity on population genetic structure; validation R² was up to 0.30 and correlation coefficients were up to 0.71. Yet, the relationship among graph ecological relevance, data requirements, and construction and analysis methods was not straightforward because the graph based on the most complex construction method (species distribution modeling) sometimes had less ecological relevance than the others. Cross-validation methods and sensitivity analyzes allowed us to make the advantages and limitations of each construction method spatially explicit. We confirmed the relevance of landscape graphs for conservation modeling but recommend a case-specific consideration of the cost-effectiveness of their construction methods. We hope the replication of independent validation approaches across species and landscapes will strengthen the ecological relevance of connectivity models.