一种硫离子响应杀菌材料的制备及应用研究

目的制备硫离子响应杀菌材料,研究它在不同浓度铜离子条件下的封装效果,以及在不同浓度硫离子条件下的释放行为。方法选择埃洛石纳米管为载体并用透射电镜进行表征、采用真空负载的方式,将甲硝唑和苯骈三氮唑(BTA)分步填充到埃洛石纳米管内部,使用紫外分光光度法测试不同浓度铜离子对纳米管中甲硝唑的封堵效果,以及材料在不同浓度硫离子条件下的释放情况。结果实验中通过调整铜离子浓度发现,铜离子浓度越大对甲硝唑的封堵效果越好,当铜离子浓度达到160 mmol/L时,对甲硝唑的封堵效果最好。杀菌材料在外界硫离子达到0.1mmol/L后,甲硝唑的释放浓度迅速提高,进一步提高硫离子浓度,释放情况改变不明显。结论铜离子浓度达到160 mmol/L时,材料的封装效果是最好的。材料能够对硫离子实现响应释放,且对应的临界浓度为0.1 mmol/L。     

广东省生活垃圾焚烧设施环境与健康风险评估构架研究

生活垃圾焚烧设施的建立是解决城市生活垃圾逐年增多的有效方式之一,但其所引发的环境与健康问题成为公众关注的热点。基于广东省对生活垃圾焚烧设施的研究,以环境管理为目标,结合国内外在该领域的研究现状,提出广东省生活垃圾焚烧设施环境与健康风险评估构架。通过该构架的多年实践,总结了广东省生活垃圾焚烧设施环境与健康风险评估研究所取得的成效,有望将该成果推而广之,从而使该行业实现绿色生态的蓬勃发展。     

呼兰河哈尔滨段水环境质量现状及污染源解析

为了解呼兰河哈尔滨段水环境质量现状及污染物来源,在平水期和枯水期,对呼兰河哈尔滨段沿线进行现场勘查及断面水质监测。结果表明,呼兰河哈尔滨段沿岸集中式排污点源、工业点源、农村生活污染、畜禽粪便、农田径流等各类污染源化学需氧量总入河量为7 671.02吨/年,氨氮总入河量为1 195.16吨/年。松北区的主要污染贡献源为肇兰新河支流污染;呼兰区的主要污染贡献源为集中式排污点源和农业面源污染。     

天津市滨海新区PM_(2.5)污染时空分布及影响因素研究

为了降低天津市滨海新区中PM_(2.5)的污染,需要对天津市滨海新区PM_(2.5)污染的时空分布和影响因素进行研究。研究天津市滨海新区近年来PM_(2.5)的时空分布特征,并选取PM_(2.5)的相关指标,对天津市滨海新区PM_(2.5)污染影响因素进行分析。结果表明,在天津市滨海新区的冬季时,PM_(2.5)的质量浓度值最高,在滨海新区的夏季时,PM_(2.5)的质量浓度值最低。PM_(2.5)在天津市滨海新区昼间大气中的质量浓度低于夜间大气中的质量浓度。     

考虑环境污染物减排的石油储运策略研究

随着经济的快速发展,科技水平不断地提高,中国石油行业发展迅速,石油储运的技术也在不断提高。对考虑环境污染物减排的石油储运策略进行研究,对石油储运的过程中出现污染源以及产生的危害进行论述,在此基础上对石油储运污染物减排存在的障碍性因素进行说明,最后针对上述问题,提出石油储运策略对污染物减排相应的解决措施,由变频调速污染物的减排技术、可燃气体的排放与回收技术等措施对石油储运策略的污染物减排进行优化,减少污染物的排放,对生态环境进行保护。     

Separation of selected PAHs by using high performance capillary electrophoresis with modifiers

The effect of varying SDS concentration in a micellar electrokinetic capillary chromatographic system (MECC) is investigated. In addition, the introduction of -cyclodextrin as modifier to the electrophoretic medium, containing SDS and a phosphate-borate buffer, is shown to give satisfactory separation of the seven selected PAHs. The separation efficiency is increased with the addition of -cyclodextrin.     

连续采样与五日法采样效果及费用的对比分析

通过对连续采样与五日法采样五种方法监测结果及所需费用的比较，得出连续采样方法监测结果更具有代表性，合理性，一次性投资大，但运行费用并不高的结论。     

Modeling the spatial pattern of farmland using GIS and multiple logistic regression: a case study of Maotiao River Basin, Guizhou Province, China

Land use change is an important topic in the field of global environmental change and sustainable development. Land use change modeling has attracted substantial attention because it helps researchers understand the mechanisms of land use change and assists regulatory bodies in formulating relevant policies. Maotiao River Basin is located in the province of Guizhou, China, which has a developed agricultural industry in the karst mountain areas. This paper selected biophysical and social–economic factors as independent variables, and constructed a multiple logistic regression of farmland spatial distribution probability by random sampling. Then, by using GIS technology and integrating the 2000 data, this study predicted the farmland spatial pattern. When the predicted map was compared with the actual farmland map for 2000, we noted that 71% of the simulation is in accordance with the 2000 farmland pattern. The result satisfactorily proves the reasonability and applicability of our model.     

A dynamic statistical experiment for atmospheric interactions

Interactions among atmospheric parameters exist at different scales. The pristine approach for observational or model data analysis involves changing the input parameters one at a time (OAT) and studying the effect on the system. Limitations of this approach for atmospheric applications are discussed. A fractional factorial (FF) based study is evolved and a methodology is outlined involving dynamic graphical analysis. Observational data from the FIFE and HAPEX‐MOBILHY experiments are utilized with a vegetation and soil moisture scheme dynamically coupled in a planetary boundary layer model to demonstrate the robustness of this approach. Both low‐resolution and high‐resolution designs are considered. Various aspects of the vegetation‐atmosphere interactions are delineated. Results obtained from the interaction‐based FF approach differ considerably from the earlier OAT‐type studies.     

Performance evaluation of a sorbent tube sampling method using short path thermal desorption for volatile organic compounds

Air sampling, using sorbents, thermal desorption and gas chromatography, is a versatile method for identifying and quantifying trace levels of volatile organic compounds (VOCs). Thermal desorption can provide high sensitivity, appropropriate choices of sorbents and method parameters can accommodate a wide range of compounds and high humidity, and automated short-path systems can minimize artifacts, losses and carry-over effects. This study evaluates the performance of a short-path thermal desorption method for 77 VOCs using laboratory and field tests and a dual sorbent system (Tenax GR, Carbosieve SIII). Laboratory tests showed that the method requirements for ambient air sampling were easily achieved for most compounds, e.g., using the average and standard deviation across target compounds, blank emissions were < or = 0.3 ng per sorbent tube for all target compounds except benzene, toluene and phenol; the method detection limit was 0.05 +/- 0.08 ppb, reproducibility was 12 +/- 6%, linearity, as the relative standard deviation of relative response factors, was 16 +/- 9%, desorption efficiency was 99 +/- 28%, samples stored for 1-6 weeks had recoveries of 87 +/- 9%, and high humidity samples had recoveries of 102 +/- 12%. Due to sorbent, column and detector characteristics, performance was somewhat poorer for phenol groups, ketones, and nitrogen containing compounds. The laboratory results were confirmed in an analysis of replicate samples collected in two field studies that sampled ambient air along roadways and indoor air in a large office building. Replicates collected under field conditions demonstrated good agreement except for very low concentrations or large (> 41 volume) samples of high humidity air. Overall, the method provides excellent performance and satisfactory throughput for many applications.