种间关系预测(ICE)模型在水质基准研究中的应用

水质基准研究主要是基于物种的实验室测试的毒性数据开展的。对于一些毒性数据相对缺乏的化学品,水质基准研究就会受到一定的影响。本文从水质基准研究方法的角度,阐述了种间关系预测(ICE)的基本原理和基本方法,系统介绍了ICE模型的毒性预测方法在水质基准研究中的应用,并通过锌的ICE案例研究证明了模型在中国的可利用性。同时,对ICE模型的不确定性和适用性进行了分析。最后,对ICE模型存在的问题和未来的发展方向进行了探索和展望。     

Evaluation of natural goethite on the removal of arsenate and selenite from water

Elevated arsenic and selenium concentrations in water cause health problems to both humans and wildlife. Natural and anthropogenic activities have caused contamination of these elements in waters worldwide, making the development of efficient cost-effective methods in their removal essential. In this work, removal of arsenate and selenite from water by adsorption onto a natural goethite(α-FeO OH) sample was studied at varying conditions. The data was then compared with other arsenate, selenite/goethite adsorption systems as much of literature shows discrepancies due to varying adsorption conditions. Characterization of the goethite was completed using inductively coupled plasma mass spectrometry, X-ray diffraction, Fouriertransform infrared spectroscopy, scanning electron microscopy, and Brunauer–Emmett–Teller surface area analysis. Pseudo-first order(PFO) and pseudo-second order(PSO) kinetic models were applied; including comparisons of different regression methods. Various adsorption isotherm models were applied to determine the best fitting model and to compare adsorption capacitates with other works. Desorption/leaching of arsenate and selenite was studied though the addition of phosphate and hydroxyl ions. Langmuir isotherm modeling resulted in maximum adsorption capacities of 6.204 and 7.740 mg/g for arsenate and selenite adsorption,respectively. The PSO model applied with a non-linear regression resulted in the best kinetic fits for both adsorption and desorption of arsenate and selenite. Adsorption decreased with increasing pH. Phosphate induced desorption resulted in the highest percentage of arsenate and selenite desorbed, while hydroxide induced resulted in the fastest desorption kinetics.     

Atmospheric distribution of particulate- and gas-phase phthalic esters (PAEs) in a Metropolitan City, Nanjing, East China

Phthalic acid esters (PAEs) are used in many branches of industry and are produced in huge amounts throughout the world. An investigation on particulate- and gas-phase distribution of PAEs has been conducted in Nanjing (China). The 12-h daily sampling program (from 8:00 am to 8:00 pm) for ten consecutive days was conducted in April, July and October 2005, and in January 2006 at about 1.5m above the ground level. For comparative purposes, sampling events were simultaneously conducted at two stations, one at the urban center and the other about 12 km from city center for suburban background monitoring. It was observed that the most abundant members of the PAE group were dimethyl phthalate (DMP) (10.1 ng m(-3), average), diethyl phthalate (DEP) (3.4 ng m(-3)), dibutyl phthalate (DBP) (58.8 ng m(-3)), butylbenzyl phthalate (BBP) (3.2 ng m(-3)), di-2-ethylhexyl phthalate (DEHP) (20.3 ng m(-3)) and di-n-octyl phthalate (DOP) (1.2 ng m(-3)). The average contribution of PAEs in the gas phase to the total PAE concentration (Sigma(6)PAE, sum of six PAE congeners) ranged from 75.0% to 89.2%. Both particulate- and gas-phase Sigma(6)PAE concentrations decreased with increasing temperature. Experimentally determined gas-particle partitioning (K(p)) of PAEs is well-correlated with their vapor pressure. The Sigma(6)PAE levels in the urban area are approximately 3.5 times as high as the levels found at the suburban station. The vertical profiles from 1.5 to 30.0m above the ground display slight height dependence.     

Accelerated anaerobic dechlorination of DDT in slurry with Hydragric Acrisols using citric acid and anthraquinone-2,6-disulfonate (AQDS)

The application of electron donor and electron shuttle substances has a vital influence on electron transfer,thus may affect the reductive dechlorination of 1,1,1-trichoro-2,2-bis(p-chlorophenyl)ethane(DDT) in anaerobic reaction systems.To evaluate the roles of citric acid and anthraquinone-2,6-disulfonate(AQDS) in accelerating the reductive dechlorination of DDT in Hydragric Acrisols that contain abundant iron oxide,a batch anaerobic incubation experiment was conducted in a slurry system with four treatments of(1) control,(2) citric acid,(3) AQDS,and(4) citric acid + AQDS.Results showed that DDT residues decreased by 78.93%–92.11% of the initial quantities after 20 days of incubation,and 1,1-dichloro-2,2-bis(4-chlorophenyl)-ethane(DDD) was the dominant metabolite.The application of citric acid accelerated DDT dechlorination slightly in the first 8 days,while the methanogenesis rate increased quickly,and then the acceleration effect improved after the 8th day while the methanogenesis rate decreased.The amendment by AQDS decreased the Eh value of the reaction system and accelerated microbial reduction of Fe(III) oxides to generate Fe(II),which was an efficient electron donor,thus enhancing the reductive dechlorination rate of DDT.The addition of citric acid + AQDS was most efficient in stimulating DDT dechlorination,but no significant interaction between citric acid and AQDS on DDT dechlorination was observed.The results will be of great significance for developing an efficient in situ remediation strategy for DDT-contaminated sites.     

我国水泥工业废气量减排与污染物减排潜力分析

水泥工业是颗粒物等大气污染物排放量较大的行业,因排放标准中颗粒物等污染物浓度限值已非常严格,靠加严标准减排污染物的空间已经越来越小,标准减排已难以使水泥工业实现更高的减排目标。水泥生产多个工序会排放废气,在排放标准限值不变的条件下,各类废气的排放总量决定了颗粒物等污染物的排放总量。通过实例分析得出利用窑头余风再循环、减少窑头喂煤一次风比例和分解炉喂煤风机的风量可实现高温废气量的减排,利用窑头窑尾低温废热进行烘干物料可实现低温烘干废气量的减排,将常温废气作为水泥窑窑头和分解炉煤粉的助燃空气可实现常温废气量的减排,进一步分析了通过废气量减排可实现颗粒物等污染物的减排量。     

填埋场中多酚氧化酶活性测定条件优化

以填埋场垃圾为研究对象,在土壤酶测定方法为基础上,对垃圾降解过程中多酚氧化酶活性测定方法进行优化.通过单因素实验和正交实验确定最优反应条件,并验证其精确度及稳定性.最终确定垃圾降解过程中多酚氧化酶活性测定的最优条件为基质取用10 mL、反应温度为30℃、缓冲液为8mL、反应时间为1.5h、萃取剂量为20 mL、萃取时间为50 min,且优化后测定条件实验结果的RSD小于2.22％,测定结果较传统方法提高了41％ ～ 90％,说明优化后结果准确可靠,为垃圾中多酚氧化酶的活性测定提供了新的方法基础.     

基于时序植被指数的湖北省物候空间特征分析

湖北省地貌类型多样,植被类型丰富,也是农业大省,物候信息监测对于自然生态和农业生产具有重要意义。使用MODIS MOD13Q1 产品中的归一化植被指数数据集,运用时间序列谐波分析法重构 NDVI时序曲线,并结合土地覆被数据,采用物候特征动态阈值法获取湖北省植被物候空间分布特征,分析不同土地覆被类型的物候指标。结果表明：(1)湖北省西部山区、东南部和东北部丘陵地区,多为自然植被覆盖,且植被状况良好,NDVI最大值达到0.75以上,大部分区域NDVI最小值在0.6以上。中部江汉平原和农作物区域NDVI变化受农业耕种方式影响较大,与自然植被NDVI变化特征有所差异。(2)不同土地覆被类型物候特征各异。湖北省大部分区域的植被在2月到3月进入生长季,11月到12月结束生长,襄阳地区呈现相反的特征。耕地、裸地、水体等受人类影响较大的土地覆被类型生长季长度较短,开始时间较晚,结束较早。森林、草地、灌丛等自然植被生长季长度较长,开始较早、结束较晚。(3)物候参数由于地形地貌、地表覆被类型、人类和自然因素的影响具有显著的差异,对区域植被生态状况、不同土地覆被类型物候空间分布特点的分析,结果对于植被生态保护、植被分类、农业区划等都具有参考意义。     

氧化沟工艺低氧同步脱氮启动研究

在常温条件下,采用小试Pasveer氧化沟处理低C/N实际污水,通过控制好氧区平均ρ(DO)为0.2～0.4 mg/L,保持好氧区与缺氧区体积比为1∶1,成功实现低氧脱氮过程。其中,模式1先接种好氧污泥并逐渐降低好氧区DO,然后接种缺氧污泥;模式2初始阶段保持低氧环境,并直接接种好氧和缺氧混合污泥。结果显示:两种方式均能成功启动低氧脱氮并保持较高的脱氮率;同时,当C/N值为1.94时,氨氮去除率较高;当C/N值为3.00时,总氮去除率较高,低氧低碳条件下脱氮效果较好。     

中国农业机械的使用特征及其尾气排放的时空分布

我国农业机械保有量巨大且其尾气排放不容忽视.了解其使用特征、分析其尾气排放的时空分布,对提高非道路机械尾气排放清单准确性、制定减排政策具有重要意义.本研究通过实际调研获取我国农业机械的活动水平,并在此基础上分析其活动水平与机械类型、车龄、分布地区之间的关系,以此量化其使用特征;使用BP神经网络的方法预测我国2020—2025年农业机械保有量,结合调研的活动水平和收集的排放因子数据,估算我国2020—2025年农业机械尾气污染物排放清单;基于各省份农业机械保有量、活动水平的差异,探讨我国农业机械尾气排放的空间分布.研究结果表明：①我国农业机械的使用因机械类型、车龄、分布地区等因素的影响存在较大的变化性.农业机械的年均工作时间可在217~1721 h·a^-1之间变化,单台机械年均耗油量可在0.2~10.5 t·a^-1之间变化.②据本研究预测,2020年后,我国农业机械保有量将持续增长,受排放标准提升、老旧机械淘汰等减排措施的影响,其尾气排放呈下降趋势,到2025年,农业机械CO、HC、NO_x和PM_2.5排放将比2020年下降0.1%~26.2%.③与地区的农业机械保有量密切相关,河南、山东、安徽的农业机械尾气排放量最大.与春季相比,秋季各省份农业机械尾气排放更为显著.     

空气微生物采样方法的比较

对3种空气微生物采样方法进行了比较。结果表明,在室外自然条件下,大气细菌粒子的沉降量与大气细菌粒子的浓度、大气真菌粒子的沉降量与大气真菌粒子的浓度均呈显著的正相关关系。对大气细菌粒子,用平皿沉降法分别与A·S采样器法、THK－201采样器法测定的结果相比,有非常显著的差异。平皿沉降法测定结果比后二者方法高出2.9倍和4.0倍;A·S采样器和THK－201采样器测定结果之间没有显著性差异。对大气真菌粒子,A·S采样器法和平皿沉降法与THK－201采样器法均有非常显著性差异;平皿沉降法与A·S采样器法测定结果之间没有显著性差异。进一步用直线回归分析的方法,得出了大气细菌粒子浓度与大气细菌粒子沉降量及大气真菌粒子浓度与大气真菌粒子沉降量之间的关系式。