环境中的氯化二苯并二(口恶)(口英)和氯化二苯并呋喃

近年来,尤其是1976年7月10日在意大利Seveso发生了生产三氯酚工厂的爆炸事件(这次事故向环境中释放了大量的2,3,7,8-T_4CDD)以来,氯化二苯并二(品恶)(品英)(Polychlorinated dibenzodioxin,PCDD)和氯化二苯并呋喃(Polychlorinated dibenzofuran,PCDF)引起了世界各国环境科学家和人民的关注。PCDD和PCOF已成为众多环境科学家的研究课题,正在对它们的分析方法、毒性及其环境行为和效应进行广泛而深入的研究。本文旨在对PCDD和PCDF的毒性、结构、来源、污染及职业暴露和中国状况的估计作一介绍,以引起人们的注意。     

自来水厂除锰滤池的成熟与微生物群落的研究

为探讨自来水厂除锰滤澉成熟的生物机理,从生产滤池和实验滤柱成熟过程的不同阶段取１０００多个水质和细菌样品进行了分析测试。实验结果表明：滤池的成熟过程是不同细菌有规律的增殖并固定在滤料和包埋于铁泥的过程;当每ｇ滤砂的细菌个数超过１０＾４时,滤滤池才能成熟和高速除锰,随反冲洗强度及提高水质量。     

菌株NKS-3对溴氨酸脱色特性探讨

从受溴氨酸污染地筛选出菌株ＮＫＳ－ ３ ,它对溴氨酸有脱色作用。菌株生长随碳源浓度增加而旺盛,溴氨酸能刺激菌株生长。溴氨酸浓度即使达到１０００ ｍｇ／Ｌ 也能被菌株基本脱色。研究发现,盐度抑制菌生长,在含盐培养液中溴氨酸的脱色过程被抑制     

高铁-光催化氧化协同去除藻毒素的研究

研究了高铁-光催化氧化体系去除水中藻毒素的效能.结果表明,通过投加10mg/L的高铁到光催化体系中,由于高铁的强氧化性及其还原产物可作为电子捕获剂的特点,可将光催化效率从63%提高到100%,实现快速完全去除藻毒素的目的.同时对照研究了高铁、光催化、Fe³⁺-光催化、高铁-光催化4种不同反应体系对藻毒素去除的效能.结果显示,单纯的高铁或光催化都可以降解一部分藻毒素,但去除率低,分别为54%和63%,且需大剂量的高铁投加或大大延长光照时间.而在Fe³⁺-光催化、高铁-光催化体系中,只需投加10mg/L的三价铁或高铁,就可以将藻毒素去除率提高到73%和100%,但采用高铁协同光催化体系比三价铁协同光催化体系更有效.也就是说在本体系中,高铁具有十分重要的作用,明显存在着高铁与TiO₂光催化的协同效应.     

鲤鱼对2,6-二硝基甲苯的生物浓缩、消除与代谢研究

 以鲤鱼为实验生物，应用流动式摄取及释放装置，进行了2，6－二硝基甲苯（2，6－DNT）的生物浓缩与释放研究。取得了2，6－DNT在鲤鱼（全鱼）、肝及肠部的生物浓缩曲线。全鱼的浓缩曲线可以稳态（平台式）曲线描述，但是肝、肠部浓缩曲线均呈峰形。肝部峰快速下降后渐趋稳态，肠部峰下降未得稳态。峰形，肝在先，肠在后。对比2，6－DNT在全鱼及肝、肠的生物浓缩曲线，并参照报道_（1，2）指出，全鱼摄取曲线上各点所表现的浓度值为各时刻鱼体内各组织摄取化学品总重对全鱼重量的比值。肝、肠部峰形曲线预示了在肝、肠内生物浓缩过程发生了生物转化作用。对全鱼的生物浓缩过程应用单区一级动力学模型，求得BCF值与消除速率常数K₁与K₂，由K₁/K₂计算得到的BCF值与实测值相符。释放较慢，释放曲线呈双曲线形，半减期为4.8h。     

可离子化有机污染物对大型溞的毒性及QSAR研究

取代苯酚、苯胺和苯甲酸类化合物是在环境水体中具有较强生物毒性的芳香族可离子化有机化合物,它们在水体中对水生生物和水生生态系统都有较大危害。测定此类化合物在p H值为6、7.8和9的条件下对大型溞的24 h急性毒性,计算化合物在不同p H值条件下的中性态分子所占比例F0。研究毒性与F0的相关性,结果表明F0对取代苯酚和苯甲酸类化合物的毒性的影响较大而对取代苯胺毒性的影响很小。对于卤代苯甲酸类化合物,毒性与疏水性的相关性较好,但是羟基苯甲酸类化合物的毒性与疏水性参数的相关性很差,引入量子化学参数EHOMO和取代羟基个数NOH,可以改进苯甲酸类化合物的模型的质量。     

TiO2@palygorskite composite for the efficient remediation of oil spills via a dispersion-photodegradation synergy

• A novel and multi-functional clay-based oil spill remediation system was constructed. • TiO₂@PAL functions as a particulate dispersant to break oil slick into tiny droplets. • Effective dispersion leads to the direct contact of TiO₂ with oil pollutes directly. • TiO₂ loaded on PAL exhibits efficient photodegradation for oil pollutants. • TiO₂@PAL shows a typical dispersion-photocatalysis synergistic remediation. Removing spilled oil from the water surface is critically important given that oil spill accidents are a common occurrence. In this study, TiO₂@Palygorskite composite prepared by a simple coprecipitation method was used for oil spill remediation via a dispersion-photodegradation synergy. Diesel could be efficiently dispersed into small oil droplets by TiO₂@Palygorskite. These dispersed droplets had an average diameter of 20–30 mm and exhibited good time stability. The tight adsorption of TiO₂@Palygorskite on the surface of the droplets was observed in fluorescence and SEM images. As a particulate dispersant, the direct contact of TiO₂@Palygorskite with oil pollutants effectively enhanced the photodegradation efficiency of TiO₂ for oil. During the photodegradation process, •O₂⁻and •OH were detected by ESR and radical trapping experiments. The photodegradation efficiency of diesel by TiO₂@Palygorskite was enhanced by about 5 times compared with pure TiO₂ under simulated sunlight irradiation. The establishment of this new dispersion-photodegradation synergistic remediation system provides a new direction for the development of marine oil spill remediation.     

基于TM影像的乌梁素海叶绿素a浓度反演

首先选取预处理后乌梁素海TM影像的单波段及波段组合与实测叶绿素a浓度进行分析,发现相关性很低。然后,结合乌梁素海的水利条件和自身特点,把湖区分为两个区,发现波段组合(TM1+TM2+TM4)/TM3和TM4/TM3与叶绿素a浓度有较高的相关性。最后,选取误差较低的波段组合(TM1+TM2+TM4)/TM3建立线性模型,实时、快速地反演乌梁素海湖区叶绿素a浓度,与实地情况吻合,为乌梁素海"黄苔"预警提供理论依据。     

Does the metal content in soil around a pregnant woman’s home increase the risk of low birth weight for her infant?

Low birth weight (LBW) is associated with a number of maternal environmental exposures during pregnancy. This study explored the association between soil metal concentrations around the home where the mother lived during pregnancy and the outcome of LBW. We used a retrospective cohort of 9,920 mother–child pairs who were insured by Medicaid during pregnancy and lived in ten residential areas, where we conducted soil sampling. We used a grid that overlaid the residential areas and collected soil samples at the grid intersections. The soil was analyzed for the concentration of eight metals [arsenic (As), barium (Ba), chromium (Cr), copper (Cu), lead (Pb), manganese (Mn), nickel (Ni), and mercury (Hg)], and we then used Bayesian Kriging to estimate the concentration at the actual maternal addresses, since we had the GIS coordinates of the homes. We used generalized additive modeling, because the metal concentrations had nonlinear associations with LBW, to develop the best fitting multivariable model for estimating the risk of LBW. The final model showed significant associations for female infants, maternal smoking during pregnancy, non-white mothers, Cu, and As with LBW. The As variable was nonlinear in relation to LBW, and the association between higher concentrations of As with LBW was strong (p = 0.002). We identified a statistically significant association between soil concentrations of arsenic around the home of pregnant women and an increased risk of LBW for her infant.     

基于BP神经网络的安全评价方法研究

阐述了BP神经网络的基本原理,利用机会约束的思想建立了综合安全评价模型．运用反向传播算法和遗传算法对神经元网络进行训练,在此分析基础上对系统综合安全评价模型进行求解,并对运用神经元网络进行综合安全评价的优点进行了分析。