抗生素抗性异养细菌在不同水体中的生态分布研究

比较了城市污水处理厂曝气池混合液、鱼塘养殖水和黄河引灌水3种水体中可培养异养细菌总数、不同抗生素抗性菌群比例以及抗性有色异养细菌的比例.3种水体中可培养异养细菌总数分别达到2.8×107、1.2×107和8.9×105CFU/mL,其中,污水处理厂曝气池混合液中青霉素、红霉素和链霉素抗性比例最高,分别达到84.5%、66.1%和62.5%,明显高于另外2种水体中抗性比例,而且在该水体中检测到了102～104CFU/mL对青霉素、链霉素和庆大霉素不同组合的交叉抗性菌群.另外,在所有含抗生素的培养基平板上,有色菌群(黄色和红色)的比例都明显高于相应的未加抗生素的培养基平板,说明抗生素抗性与细菌的色素积累呈正相关,其中,黄河引灌水中的抗性有色异养菌群的比例高于其他2种水体.     

ENHANCING FECAL COLIFORM TOTAL MAXIMUM DAILY LOAD MODELS THROUGH BACTERIAL SOURCE TRACKING1

ABSTRACT: Surface water impairment by fecal coliform bacteria is a water quality issue of national scope and importance. In Virginia, more than 400 stream and river segments are on the Commonwealth's 2002 303(d) list because of fecal coliform impairment. Total maximum daily loads (TMDLs) will be developed for most of these listed streams and rivers. Information regarding the major fecal coliform sources that impair surface water quality would enhance the development of effective watershed models and improve TMDLs. Bacterial source tracking (BST) is a recently developed technology for identifying the sources of fecal coliform bacteria and it may be helpful in generating improved TMDLs. Bacterial source tracking was performed, watershed models were developed, and TMDLs were prepared for three streams (Accotink Creek, Christians Creek, and Blacks Run) on Virginia's 303(d) list of impaired waters. Quality assurance of the BST work suggests that these data adequately describe the bacteria sources that are impairing these streams. Initial comparison of simulated bacterial sources with the observed BST data indicated that the fecal coliform sources were represented inaccurately in the initial model simulation. Revised model simulations (based on BST data) appeared to provide a better representation of the sources of fecal coliform bacteria in these three streams. The coupled approach of incorporating BST data into the fecal coliform transport model appears to reduce model uncertainty and should result in an improved TMDL.     

MODELING FECAL COLIFORM CONTAMINATION IN THE RIO GRANDE1

This study examines sources of fecal coliform in Segment 2302 of the Rio Grande, located south of the International Falcon Reservoir in southern Texas. The watershed is unique because the contributing drainage areas lie in Texas and Mexico. Additionally, the watershed is mostly rural, with populated communities known as “colonias.” The colonias lack sewered systems and discharge sanitary water directly to the ground surface, thus posing an increased health hazard from coliform bacteria. Monitoring data confirm that Segment 2302 is not safe for contact recreation due to elevated fecal coliform levels. The goal of the study was to simulate the observed exceedences in Segment 2302 and evaluate potential strategies for their elimination. Fecal coliform contributions from ranching and colonia discharges were modeled using the Hydrologic Simulation Program‐Fortran (HSPF). Model results indicated that the regulatory 30‐day geometric mean fecal coliform concentration of 200 colony forming units (cfu) per 100 milliliters is exceeded approximately three times per year for a total of 30 days. Ongoing initiatives to improve wastewater facilities will reduce this to approximately once per year for 14 days. Best management practices will be necessary to reduce cattle access to streams and eliminate all exceedences. The developed model was limited by the relatively sparse flow and fecal coliform data.     

PREDICTING FECAL COLIFORM BACTERIA LEVELS IN THE CHARLES RIVER,MASSACHUSETTS, USA1

In Massachusetts, the Charles River Watershed Association conducts a regular water quality monitoring and public notification program in the Charles River Basin during the recreational season to inform users of the river's health. This program has relied on laboratory analyses of river samples for fecal coliform bacteria levels, however, results are not available until at least 24 hours after sampling. To avoid the need for laboratory analyses, ordinary least squares (OLS) and logistic regression models were developed to predict fecal coliform bacteria concentrations and the probabilities of exceeding the Massachusetts secondary contact recreation standard for bacteria based on meteorological conditions and streamflow. The OLS models resulted in adjusted R²s ranging from 50 to 60 percent. An uncertainty analysis reveals that of the total variability of fecal coliform bacteria concentrations, 45 percent is explained by the OLS regression model, 15 percent is explained by both measurement and space sampling error, and 40 percent is explained by time sampling error. Higher accuracy in future bacteria forecasting models would likely result from reductions in laboratory measurement errors and improved sampling designs.     

稠油污水生化性处理技术研究

为了探讨稠油污水能否使用生物法处理,以生活污水和农药厂生化池原菌种经过诱导驯化,分别培养了可以在稠油污水中生长的好氧菌种革兰氏阴性菌G-1和厌氧菌种革兰氏阴性菌G-2.以G-2和G-1对稠油污水进行顺序处理,可使其BOD5/CODCr达到0.26;采用SBR法对新疆稠油污水放大处理试验的结果：COD降至150 mg/L以下,各项指标达到GB8978-1998二级排放标准.     

PEM式臭氧消毒在地上游泳池水处理中的应用

采用臭氧法水处理系统对地上游泳池的循环水进行灭菌消毒,研究了臭氧用量、循环水流量和运行时间等因素对臭氧法灭菌效果的影响。结果表明,3组PEM臭氧发生器应用于21.2 m3的地上游泳池,在4 m3/h的循环水流量下运行12 h后,水中的细菌总数与大肠杆菌群数达到国家标准,去除率均在99%以上。与盐电解法水处理系统相比较,臭氧法水处理系统的优势在于:杀菌快速高效、出水水质的理化指标较好和运行费用低廉。     

流动系统内生物膜的形成及控制

应用辐射流动室（Ｒａｄｉｃａｌ Ｆｌｏｗ Ｃｈａｍｂｅｒ,ＲＦＣ）技术宣地研究水力剪切力对硝化细菌在聚苯乙烯（ＰＳ）载体表面固定的。发现水力剪切力直接影响硝化细菌的固定。当作用于ＰＳ表面的水力剪切力大于８．０Ｎ／ｍ＾２时,硝化细菌基本不能在ＰＳ表面险境着;水力剪切力小于８．０Ｎ／ｍ＾２时,硝化细菌的固定程度随剪切力的减小而加强,直至达到最大,实验表明辐射液动室技术为定量研究生物膜形成及控制与水力剪     

污水处理厂消毒技术对抗生素抗性菌的强化去除

基于消毒技术对污水处理厂出水中总异养菌(total heterotrophic bacteria,HPC)及5种抗生素抗性菌(antibiotic resistant bacteria,ARB):氨苄霉素抗性菌(AMP)、红霉素抗性菌(ERY)、四环素抗性菌(TET)、卡那霉素抗性菌(KAN)、环丙沙星抗性菌(CIP)的去除情况研究,分析消毒技术对ARB的强化去除效果.结果表明,实际污水处理厂的紫外消毒对ARB去除率仅为18.2%~40.9%,且AMP含量最高;另外,消毒技术对ERY有选择性去除效果,对其他4种ARB无明显选择性去除效果(P0.05);最后结合次氯酸钠、臭氧、紫外消毒处理对COD、NH_4~+-N的去除效果,确定强化去除ARB的消毒方式中臭氧,次氯酸钠和紫外的最佳浓度和剂量依次为5.0 mg·L~(-1)、25.0 mg·L~(-1)和45.0 m J·cm~(-2),ARB去除率依次为45.5%~74.5%、66.1%~85.5%、68.6%~85.5%,另外次氯酸钠耦合紫外消毒强化去除ARB的效果更佳.     

北京市近地层气象要素与大气细菌浓度分布规律的调查研究

以1998年10月的观测资料为例,分析了北京市某地气象要素的变化规律以及该地区大气细菌浓度的分布特征,对两者之间的相互关系进行了初步探讨,发现一天内气象要素及细菌浓度均是周期变化,且两者有一定的相关性。     

辽河口粪便污染指示菌的时空分布特征

2013年分别于夏季和秋季对辽河口海域的粪便污染指示菌(总大肠菌群、粪大肠菌群和肠球菌)及环境、水化学要素进行分析,研究粪便污染指示菌在海水中的数量、分布特征及其与环境、水化学指标间的相关性,在此基础上,选取河口地区合适的粪便污染指示菌.结果表明:夏季总大肠菌群数量在1.7×105~6.2×106CFU·L-1之间,粪大肠菌群数量在5.0×102~8.7×104CFU·L-1之间,肠球菌数量在1.0×101~2.5×102CFU·L-1之间;秋季总大肠菌群数量在5.0×102~1.1×105CFU·L-1之间,粪大肠菌群数量在4.0×102~1.0×103CFU·L-1之间,肠球菌数量在3~95 CFU·L-1之间.总大肠菌群、粪大肠菌群和肠球菌的数量变化与环境指标之间有着密切联系,特别是与盐度存在显著相关性;粪大肠菌群、肠球菌与水化学指标Si O4-4-Si、NH+4-N、TP和COD之间均存在显著相关性;其中粪大肠菌群与SiO4-4-Si和TP的相关性系数均大于0.742(p0.01),肠球菌与TP和COD的相关性系数均大于0.742.实验结果表明,辽河口粪便污染指示菌的数量在夏季高于秋季,近岸高于远海,其中粪大肠菌群和肠球菌的数量、分布特征与陆源污染物特别是氮磷的输入量密切相关,而且两者之间呈显著正相关关系.粪大肠菌群与肠球菌在一定程度上可以反映河口粪便污染情况,建议采用粪大肠菌群与肠球菌作为河口粪便污染的指示菌.