城市河流底泥中汞形态转化规律的研究

黄浦江某支流上海市区河段底泥中汞形态分布的一个显著特征是水溶态汞和酸溶态有机汞之和占很大的比例(8—18％)。通过底泥在静止河水作用下的转化试验,发现底泥中水溶态汞、酸溶态无机汞以及碱溶态汞占总汞的百分含量分别呈一级反应和二级反应的动力学规律而衰减,其它各形态汞则随时间呈指数增加,转化速率几乎均随温度升高而增大,但水溶态汞向水相的释放量甚微,不会污染水体。通过各形态含量之间的相关,发现各种汞形态最终均转化为稳定的王水溶态汞。     

重庆电厂炉前煤及飞灰中As元素在有机酸作用下的淋滤行为

采用模拟酸雨手段，突出有机酸对Ａｓ元素的淋出作用。分别配置ｐＨ＝４．４７的硝酸、乙酸及硝酸与乙酸的混酸三种淋滤液，对重庆电厂炉前煤及飞灰中的Ａｓ元素进行４０ｈ的淋滤实验，以探讨有机酸淋滤条件下Ａｓ元素的淋出行为。结果表明：有机酸淋滤液对炉前煤及飞灰中的Ａｓ元素具有较强的淋出作用，有机酸中Ｈ＾＋的缓冲释放作用是导致Ａｓ元素较强淋出率的主要因素。     

遗传双线性模型在海洋冰情预测中的应用

提出了一套建立双线性模型（ＢＭ）的简便方案。用作者研制的加速遗传算法可同时估计ＢＭ模型各参数,成功地解决了ＢＭ建模这一难题,为ＢＭ模型的广泛应用提供了强有力的工具。实例的计算结果说明,这套方法在海洋冰情预测中是可行而有效的,通过利用预测过程中产生的残差信息进行反馈矫正,保证了ＢＭ模型高的拟合粗度和稳健的预测性能,增强了ＢＭ对复杂非线性动态系统的适应性。该方案具有一般性,在各种非线性时序动态预测中具     

Significant tipping points of sediment microeukaryotes forewarn increasing antibiotic pollution

Antibiotic pollution imposes urgent threats to public health and microbial-mediated ecological processes. Existing studies have primarily focused on bacterial responses to antibiotic pollution, but they ignored the microeukaryotic counterpart, though microeukaryotes are functionally important (e.g., predators and saprophytes) in microbial ecology. Herein, we explored how the assembly of sediment microeukaryotes was affected by increasing antibiotic pollution at the inlet (control) and across the outlet sites along a shrimp wastewater discharge channel. The structures of sediment microeukaryotic community were substantially altered by the increasing nutrient and antibiotic pollutions, which were primarily controlled by the direct effects of phosphate and ammonium (−0.645 and 0.507, respectively). In addition, tetracyclines exerted a large effect (0.209), including direct effect (0.326) and indirect effect (−0.117), on the microeukaryotic assembly. On the contrary, the fungal subcommunity was relatively resistant to antibiotic pollution. Segmented analysis depicted nonlinear responses of microeukaryotic genera to the antibiotic pollution gradient, as supported by the significant tipping points. We screened 30 antibiotic concentration-discriminatory taxa of microeukaryotes, which can quantitatively and accurately predict (98.7% accuracy) the in-situ antibiotic concentration. Sediment microeukaryotic (except fungal) community is sensitive to antibiotic pollution, and the identified bioindicators could be used for antibiotic pollution diagnosis.     

城市级环境信息系统总体方案的研究与开发

在分析我国城市级环境信息现状和需求的基础上,提出了我国城市级环境信息系统的总体方案，系统依靠现有的环境数据和管理软件建立城市环境信息基础数据库，依照数据仓库的组织方式对环境数据重新进行整合，并在此基础上开发出数据查询分析应用和地理信息系统，同时结合城市环保局的办公自动化系统，建立了一个统一的环境信息发布平台，提高了环境信息的共享水平。     

浑河(抚顺段)水质粪大肠菌群污染现状研究

近年来,随着城市垃圾、生活污水、工业废水、人畜粪便和医院废水等的不合理排放,导致浑河(抚顺段)水质受到严重污染.粪大肠菌群(Fecal Coliform)是检验水质污染的一个重要生物指标,主要来源于人和混血动物的粪便,对水域进行粪大肠菌群的检测并结合理化分析,可以准确定出水体污染的性质和程度,从而可为水体的污染状况和程度的评估提供科学的依据.本文以粪大肠菌群作为水质粪便污染指标,于2005年监测了浑河(抚顺段)水体粪便污染情况,同时监测了水质COD值.其结果表明,浑河(抚顺段)水体粪便污染严重,粪大肠菌群与COD呈现良好的相关关系.     

基于B/S结构的环境信息系统研究

介绍了B/S结构的环境信息系统的优点及其环境信息系统的基本框架，并对所包含的组件及功能作了详细的分析，认为B/S结构的环境信息系统使用方便、易扩展、可移植性好。     

长白山区沟谷乌拉苔草Carex meyeriana沼泽湿地气候效应

通过对长白山区沟谷沼泽典型乌拉苔草湿地土壤温度、乌拉苔草群落相对湿度、叶片温度、风速、光量子通量密度以及蒸腾速率的日变化和蒸腾速率的季节变化的研究,初步揭示沟谷乌拉苔草沼泽湿地的气候效应。结果表明长白山沟谷沼泽湿地具有三江平原沼泽同样的冷湿效应。土壤化通时间比三江平原化通时间提前1个多月,蒸腾速率日变化不同季节趋势基本一致,不同层次叶片的蒸腾速率日变化趋势基本一致,最大值在7至8月份蒸腾速率(H2O)达到100~140 mol.m-2.s-1。光量子通量密度与温度成正比,与湿度成反比,大气温度日变化和叶片温度日变化趋势基本相同,相对湿度的日变化趋势和大气温度的变化趋势正好相反,和光量子通量密度的变化趋势相反。沟谷湿地的同样具有小气候效应。     

PAC-MBR处理垃圾渗滤液的硝化性能研究

研究了粉末活性炭(PAC)作为载体的膜生物反应器(MBR)处理吹脱后垃圾渗滤液的硝化性能.在HRT=3 d、NH 4-N=200～500 mg/L条件下,进水pH＞8.7时,PAC-MBR和没有添加PAC的普通MBR均只能将氨氮转化为NO-2;降低pH至7.6～8.2时,PAC-MBR中的亚硝酸盐氧化菌迅速恢复活性,将NO-2完全转化为硝酸盐,而普通MBR仍然停留在亚硝化阶段;当吹脱取消后,NO-2迅速消失,这可能与取消吹脱后,不再使用大量硫酸进行pH调节有关.研究发现,当SO2-4为3 g/L时,氨氮氧化速度出现了明显的下降,表明SO2-4对硝化菌具有抑制作用;同时,微生物代谢产物(SMP)分泌量越高,NO-2含量越低,但是SMP不是影响NO-2积累的主要原因.     

Use of subsampled traffic data to estimate roadway emissions, including conversion to MOBILE6 vehicle classifications

Air quality is degraded by many factors, among which the emissions from on-road vehicles play a significant role. Timely and accurate estimate of such emissions becomes very important for policy-making and effective control measures. However, lack of traffic data and outdated emission software make this task difficult. This research has demonstrated a new method that facilitates the vehicular emission inventories at the local level by using shorter-time Highway Performance Monitoring System (HPMS) traffic data along with the latest U.S. Environment Protection Agency (EPA) emission modeling software, MOBILE6. The conversion methodology was developed for converting readily available HPMS traffic volume data into EPA MOBILE-based traffic classifications, and a corresponding software program was written for automating the process. EPA MOBILE6 model was used to obtain emissions of nitrogen oxides (NOx), volatile organic compound (VOC), and cabon monoxide (CO) emitted by the parent traffic and subsampled traffic data, and these emissions were additionally compared. The case study has shown that the difference of the magnitude between the emission estimates produced by certain subsampled and parent traffic data are minor, indicating that subsampled HPMS data can be used for reporting parent traffic emissions. It was also observed that traffic emissions follow a Weibull distribution, and NOx emissions were more sensitive to the traffic data composition than VOC and CO. Lastly, use of average emission values of 20 or 30 consecutive minutes appears to be valid for representing hourly emissions.