氧化锰八面体分子筛的合成及其对苯催化氧化性能

采用回流的方法,制备了氧化锰八面体分子筛（OMS-2）纳米棒.利用X射线衍射（XRD）、扫描电子显微镜（SEM）、氮气吸附-脱附、程序升温还原（H2-TPR）分别对产物进行晶型、形貌、孔径和H2还原性能进行分析,并考察不同煅烧温度下的催化剂对苯的催化氧化性能及300℃煅烧催化剂的稳定性.结果表明,煅烧温度对氧化锰八面体分子筛（OMS-2）的表面特征有显著的影响,煅烧温度越高,比表面积和孔容越小,平均孔径越大.同时随着煅烧温度的增加,催化剂对苯的催化氧化性能降低.经300℃煅烧的催化剂对苯的催化活性最佳,反应温度为200℃时,苯的转化率达到了50%;当反应温度为250℃时,苯的转化率达到90%.经300℃煅烧的催化剂在260℃下70 h内,对苯的催化氧化性能降低了5%,具有良好的稳定性.     

河流污染物通量估算方法筛选及误差分析

准确估算污染物通量对河流污染物总量控制和水质保护具有重要意义,但常规监测方法通常不能进行连续采样,数据相对比较稀缺,因此,选择恰当的采样间隔和通量估算方法,并对方法可能带来的误差进行估算,对提高通量估算的可靠性具有十分重要的意义.基于此,以江西赣江滁槎水质自动站2005—2007年3个水文年的水量和水质资料为基础,采用Monte Carlo方法模拟时间间隔分别为2、3、5、6、10、15和30 d的河流水质离散采样方案,并计算每种采样方案下的通量.同时,采用偏差(系统误差)和不精确度(离散程度)两个指标,比较了A、B、C、D、E 5种常规通量计算方法的误差分布,并建立了各算法误差随时间间隔变化的相关性曲线,以对河流污染物通量估算方法进行筛选.研究表明,滁槎断面COD_Mn采用瞬时值C_i与时段平均流量 Q_p乘积的方法计算年通量更准确;而NH₄⁺-N由于瞬时通量与流量相关性不显著,采用时段瞬时通量平均计算年通量更准确.     

民用生物质燃烧挥发性有机化合物排放特征

民用生物质燃烧是我国人为源挥发性有机物（VOCs）排放的主要来源.采用罐采样-GC/MS和DNPH衍生-HPLC这2种方法联用采集和分析了5种主要民用生物质燃烧排放烟气中的VOCs组分,并利用碳平衡法确定其排放系数.研究表明,秸秆和木柴等民用生物质燃烧总的VOCs排放系数分别为（4.37±2.23）g·kg-1和（2.12±0.77）g·kg-1,秸秆燃烧排放高于木柴燃烧排放;民用生物质燃烧排放VOCs中,最为丰富的物种为芳香烃和醛类,含量均在25%以上;秸秆和木柴燃烧除卤代烃和腈类含量差异较大外,其余物种分布比较类似;秸秆和木柴燃烧VOCs排放总的臭氧生成潜势分别为（16.9±8.2）g·kg-1和（10.8±4.9）g·kg-1;臭氧生成潜势比较高的物种依次为：醛类、芳香烃和烯烃/炔烃,其中醛类贡献基本在50%以上.     

毛细管GC/FID法测定空气中甲硫醇实验研究

研究了空气中甲硫醇（ＣＨ３ＳＨ）的采样,液氮冷冻浓缩,热解吸和毛细管柱ＧＣ／ＦＩＤ的色谱分离分析方法,在选定条件下,线性范围为０．２－２００μｇ检测下限约０．２μｇ,回收率为９２．６％,重复实验变异系数３．２％,可以满足空气中ＣＨ３ＳＨ的测定,应用于某城市污水厂及污水沟周围空气中甲硫醇的测定,并以ＣＨ３ＳＨ为代表计算了空气的恶臭度,其分布规律可以得到合理的解释,取得了较为满意的结果。     

Network inclusion probabilities and Horvitz-Thompson estimation for adaptive simple Latin square sampling

Consider a survey of a plant or animal species in which abundance or presence/absence will be recorded. Further assume that the presence of the plant or animal is rare and tends to cluster. A sampling design will be implemented to determine which units to sample within the study region. Adaptive cluster sampling designs Thompson (1990) are sampling designs that are implemented by first selecting a sample of units according to some conventional probability sampling design. Then, whenever a specified criterion is satisfied upon measuring the variable of interest, additional units are adaptively sampled in neighborhoods of those units satisfying the criterion. The success of these adaptive designs depends on the probabilities of finding the rare clustered events, called networks. This research uses combinatorial generating functions to calculate network inclusion probabilities associated with a simple Latin square sample. It will be shown that, in general, adaptive simple Latin square sampling when compared to adaptive simple random sampling will (i) yield higher network inclusion probabilities and (ii) provide Horvitz-Thompson estimators with smaller variability.     

A performance indicator for ranked set sampling using ranking error probability matrix

Ranked set sampling (RSS) is a sampling procedure that has been shown to provide more efficient procedures than simple random sampling, in particular the Mann-Whitney-Wilcoxon (MWW) statistic and the empirical distribution function (EDF). We briefly review the work of Bohn (1992) and Stokes and Sager (1988) on the effect of imperfect ranking on the RSS-based MWW test and on the RSS-based EDF, respectively. We propose a model for a ranking error probability matrix which we hope will become a useful tool for evaluating RSS-based statistical procedures     

室内空气中挥发性有机化合物及多孔炭材料在其脱除中的应用

随着工业化进程的不断推进,室内空气中的挥发性有机化合物（ＶＯＣ） 对室内环境的污染日渐严重,对人体的健康也造成了危害。本文对此作了介绍,并综述了国内外室内空气污染物的监测、采样、分析手段及治理方法,着重叙述了多孔炭材料在环保中的应用开发。     

Are rapid population estimates accurate? A field trial of two different assessment methods

Emergencies resulting in large-scale displacement often lead to populations resettling in areas where basic health services and sanitation are unavailable. To plan relief-related activities quickly, rapid population size estimates are needed. The currently recommended Quadrat method estimates total population by extrapolating the average population size living in square blocks of known area to the total site surface. An alternative approach, the T-Square, provides a population estimate based on analysis of the spatial distribution of housing units taken throughout a site. We field tested both methods and validated the results against a census in Esturro Bairro, Beira, Mozambique. Compared to the census (population: 9,479), the T-Square yielded a better population estimate (9,523) than the Quadrat method (7,681; 95% confidence interval: 6,160-9,201), but was more difficult for field survey teams to implement. Although applicable only to similar sites, several general conclusions can be drawn for emergency planning.     

Metagenomic insights into the profile of antibiotic resistomes in sediments of aquaculture wastewater treatment system

To meet the rapidly growing global demand for aquaculture products, large amounts of antibiotics were used in aquaculture, which might accelerate the evolution of antibioticresistant bacteria(ARB) and the propagation of antibiotic genes(ARGs). In our research, we revealed the ARGs profiles, their co-occurrence with mobile genetic elements(MGEs), and potential hosts in sediments of a crab pond wastewater purification system based on metagenomic analysis. The residual antibiotic seems to increase ...     

Impact of environmental factors on the sampling rate of β-blockers and sulfonamides from water by a carbon nanotube-passive sampler

Passive techniques are a constantly evolving approach to the long-term monitoring of micropollutants, including pharmaceuticals, in the aquatic environment. This paper presents, for the first time, the calibration results of a new CNTs-PSDs (carbon nanotubes used as a sorbent in passive sampling devices) with an examination of the effect of donor phase salinity, water pH and the concentration of dissolved humic acids (DHAs), using both ultrapure and environmental waters. Sampling rates (R_s) were determined for the developed kinetic samplers. It has been observed that the impact of the examined environmental factors on the R_s values strictly depends on the type of the analytes. In the case of β-blockers, the only environmental parameter affecting their uptake rate was the salinity of water. A certain relationship was noted, namely the higher the salt concentration in water, the lower the R_s values of β-blockers. In the case of sulfonamides, water salinity, water pH 7–9 and DHAs concentration decreased the uptake rate of these compounds by CNTs-PSDs. The determined R_s values differed in particular when the values obtained from the experiments carried out using ultrapure water and environmental waters were compared. The general conclusion is that the calibration of novel CNTs-PSDs should be carried out under physicochemical conditions of the aquatic phase that are similar to the environmental matrix.