铁基质强化新型功能性化粪池高效处理黑水的试验

以铁基质生物载体为核心,将物理、生物和化学方法结合,对化粪池进行功能强化,实现黑水的原位深度处理.探究了溶解氧（DO）和碳氮比（C/N）等因素对黑水中污染物降解的影响,并在最佳运行参数下考察了氮素在系统中的转化机制.结果表明,当C/N为7.3~8.4时,好氧生物铁基质载体池DO为2.3~2.7mg/L时,系统氨氮（NH₄⁺-N）、总氮（TN） 、COD和总磷（TP）的平均去除率分别可达90.74%、85.81%、92.65%和95.78%;当进水C/N降至3.3~4.2时,系统NH₄⁺-N、TN、COD和TP的平均去除率仍可维持在81.16%、76.62%、93.87%和94.75%.铁基质生物载体内电解作用显著强化了化粪池内TN的脱除、COD的氧化和TP的固定.氮素转化机制分析表明,内电解与反硝化菌的耦合强化了反硝化作用,降低了反硝化过程对有机碳源的需求,强化了低C/N条件下TN、TP的脱除.     

海滨浴场的卫生细菌学调查及保护对策

从卫生细菌学角度，选用总大量菌群作为指标，对多年的海浴场监测结果进行了综合分析，以期了解近年来秦皇岛海滨浴场的水质变化情况，并提出了可行的保护对策。     

宜宾市三江水体粪大肠菌群污染现状调查

粪大肠茵群指数(FC)是综合评价城市污水，尤其是生活污水的一个重要指标。本文对宜宾市“三江”水体的FC进行了监测，结果表明“三江”受到了生活污水的污染。丰水期的FC指数超出我国地表水Ⅲ类标准的10倍。     

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.     

AN EVALUATION OF THE AVAILABLE TECHNIQUES FOR ESTIMATING MISSING FECAL COLIFORM DATA1

ABSTRACT: This paper presents the findings of a study aimed at evaluating the available techniques for estimating missing fecal coliform (FC) data on a temporal basis. The techniques investigated include: linear and nonlinear regression analysis and interpolation functions, and the use of artificial neural networks (ANNs). In all, seven interpolation, two regression, and one ANN model structures were investigated. This paper also investigates the validity of a hypothesis that estimating missing FC data by developing different models using different data corresponding to different dynamics associated with different trends in the FC data may result in a better model performance. The FC data (counts/100 ml) derived from the North Fork of the Kentucky River in Kentucky were employed to calibrate and validate various models. The performance of various models was evaluated using a wide variety of standard statistical measures. The results obtained in this study are able to demonstrate that the ANNs can be preferred over the conventional techniques in estimating missing FC data in a watershed. The regression technique was not found suitable in estimating missing FC data on a temporal basis. Further, it has been found that it is possible to achieve a better model performance by first decomposing the whole data set into different categories corresponding to different dynamics and then developing separate models for separate categories rather than developing a single model for the composite data set.     

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.     

甾醇对南山老龙洞地下河粪便污染的指示

分别于2014年10月,2015年1、3、5月采集重庆南山老龙洞地下河出口的水样,过滤取水悬浮物质,采用气相色谱-质谱联用仪(GC-MS)定量分析悬浮物中甾类物质的成分与质量浓度;利用多指标综合分析对南山老龙洞地下河粪便污染进行判断并追溯粪便污染物的主要来源.结果表明,样品中共测出10种甾类物质,其中包括9种醇类和1种酮类.总甾类物质的质量浓度为1 573~5 007 ng·L-1,且3、5月均大于10、1月.虽然各月间地下河的组成存在差异,但以胆固醇、β-谷甾醇和粪醇为主要成分,三者的质量浓度之和占总甾类的50.8%~80.4%.另外,(差向异构粪醇+粪醇)/(粪醇+差向异构粪醇+二氢胆固醇)的值均大于0.7,指示各月均受到粪便污染;10月差向异构粪醇/粪醇的值小于0.2,指示污水主要来自上游污水处理厂;1、3、5月的粪醇/ΣSteroids、粪醇/24-乙基粪醇的值分别为0.109~0.254、6.3~10.3,指示地下河主要受到人类粪便的影响;3月的24-乙基粪醇/24-乙基胆甾烷醇为0.86,小于1月的5.4和5月的2.3,说明该月地下河受家禽类动物粪便的影响较1月和5月严重.     

Validation of Bacteroidales-based microbial source tracking markers for pig fecal pollution and their application in two rivers of North China

• Pig feces is the predominant excrement produced by animal husbandry in China. • The PF, Pig-1-Bac^TaqMan, and Pig-2-Bac^TaqMan MST assays showed better performance. • The pig-specific MST assays can contribute to managing the pig fecal pollution. In China, pig feces is the predominant source of excrement produced by animal husbandry. Improper use or direct discharge of pig feces can result in contamination of natural water systems. Microbial source tracking (MST) technology can identify the sources of fecal pollution in environmental water, and contribute to the management of pig fecal pollution by local environmental protection agencies. However, the accuracy of such assays can be context-dependent, and they have not been comprehensively evaluated under Chinese conditions. We aimed to compare the performance of five previously reported pig-specific MST assays (PF, Pig-Bac1^SYBR, Pig-Bac2^SYBR, Pig-1-Bac^TaqMan, and Pig-2-Bac^TaqMan, which are based on Bacteroidales 16S rRNA gene markers) and apply them in two rivers of North China. We collected a total of 173 fecal samples from pigs, cows, goats, chickens, humans, and horses across China. The PF assay optimized in this study showed outstanding qualitative performance and achieved 100% specificity and sensitivity. However, the two SYBR green qPCR assays (Pig-Bac1^SYBR and Pig-Bac2^SYBR) cross-reacted with most non-pig fecal samples. In contrast, both the Pig-1-Bac^TaqMan and Pig-2-Bac^TaqMan assays gave 100% specificity and sensitivity. Of these, the Pig-2-Bac^TaqMan assay showed higher reproducibility. Our results regarding the specificity of these pig-specific MST assays differ from those reported in Thailand, Japan, and America. Using the PF and Pig-2-Bac^TaqMan assays, a field test comparing the levels of pig fecal pollution in rivers near a pig farm before and after comprehensive environmental pollution governance indicated that pig fecal pollution was effectively controlled at this location.     

污水深度处理流程对污染物去除效果评价方法

城市污水再生处理流程大多采用几种深度处理单元组合而成,由单个处理单元对污染物的去除效果来准确评价组合流程整体的处理效率对于工艺方案的确定和实际运行具有重要意义。在对处理过程中污染物浓度分布变化分析的基础上,建立了污水深度处理流程污染物去除效果的评价分析方法,并根据3种常用再生处理单元的实验结果,以总大肠菌群为例,评价了混凝沉淀过滤与生物活性炭和超滤联用处理流程对总大肠菌群的去除效果,计算结果表明,这种评价分析方法是准确可行的。     

MBR工艺中溶解性有机物的分子量和EEM解析

采用凝胶过滤色谱(GFC)分子量测定技术和三维荧光(EEM)光谱技术,对平板膜-生物反应器工艺应用于餐饮废水和粪便污水处理的工程实例进行研究,对比分析2套工艺中的调节池水和出水的溶解性有机物(DOM)及污泥胞外聚合物(EPS)的性质变化.研究表明,餐饮废水处理过程的调节池水DOM中大分子(＞100 kDa)物质比例为6...