高盐度污水生物处理技术研究

广西涠洲石油终端处理厂污水Cl 浓度在 110 0 0～ 12 0 0 0mg L ,平均为 113480mg L ,CODCr约为 15 0～ 4 0 0mg L ,属高盐度污水。通过对微生物进行驯化 ,仍可以用生化法处理。研究表明 :单一的厌氧生化法和好氧生化法处理污水均不能达标 ,而厌氧 好氧联合处理效果良好 ,出水水质稳定 ,出水CODCr为 14～ 6 7mg L ,可达到国家污水排放一级标准     

A dynamic hydrological Monte Carlo simulation model to inform decision-making at Lake Toolibin,Western Australia

Lake Toolibin, an ephemeral lake in the agricultural zone of Western Australia, is under threat from secondary salinity due to land clearance throughout the catchment. The lake is extensively covered with native vegetation and is a Ramsar listed wetland, being one of the few remaining significant migratory bird habitats in the region. Currently, inflow with salinity greater than 1000 mg/L TDS is diverted from the lake in an effort to protect sensitive lakebed vegetation. However, this conservative threshold compromises the frequency and extent of lake inundation, which is essential for bird breeding. It is speculated that relaxing the threshold to 5000 mg/L may pose negligible additional risk to the condition of lakebed vegetation. To characterise the magnitude of improvement in the provision of bird breeding habitat that might be generated by relaxing the threshold, a dynamic water and salt balance model of the lake was developed and implemented using Monte Carlo simulation. Results from best estimate model inputs indicate that relaxation of the threshold increases the likelihood of satisfying habitat requirements by a factor of 9.7. A second-order Monte Carlo analysis incorporating incertitude generated plausible bounds of [2.6, 37.5] around the best estimate for the relative likelihood of satisfying habitat requirements. Parameter-specific sensitivity analyses suggest the availability of habitat is most sensitive to pan evaporation, lower than expected inflow volume, and higher than expected inflow salt concentration. The characterisation of uncertainty associated with environmental variation and incertitude allows managers to make informed risk-weighted decisions.     

Responses of microbial interactions to elevated salinity in activated sludge microbial community

● Salinity led to the elevation of NAR over 99.72%. ● Elevated salinity resulted in a small, complex, and more competitive network. ● Various AOB or denitrifiers responded differently to elevated salinity. ● Putative keystone taxa were dynamic and less abundant among various networks. Biological treatment processes are critical for sewage purification, wherein microbial interactions are tightly associated with treatment performance. Previous studies have focused on assessing how environmental factors (such as salinity) affect the diversity and composition of the microbial community but ignore the connections among microorganisms. Here, we described the microbial interactions in response to elevated salinity in an activated sludge system by performing an association network analysis. It was found that higher salinity resulted in low microbial diversity, and small, complex, more competitive overall networks, leading to poor performance of the treatment process. Subnetworks of major phyla (Proteobacteria, Bacteroidetes, and Chloroflexi) and functional bacteria (such as AOB, NOB and denitrifiers) differed substantially under elevated salinity process. Compared with subnetworks of Nitrosomonadaceae, Nitrosomonas (AOB) made a greater contribution to nitrification under higher salinity (especially 3%) in the activated sludge system. Denitrifiers established more proportion of cooperative relationships with other bacteria to resist 3% salinity stress. Furthermore, identified keystone species playing crucial roles in maintaining process stability were dynamics and less abundant under salinity disturbance. Knowledge gleaned from this study deepened our understanding of microbial interaction in response to elevated salinity in activated sludge systems.     

九龙江河口湾区冬季海水二甲基硫浓度的分布特征

以九龙江河口湾区为研究区域探寻受人为干扰严重的河口湾区DMS排放规律.2001年冬季采样调查发现在九龙江河口和湾口区叶绿素、盐度和营养盐等环境因子呈现出区域差异,海水DMS也存在明显的空间分布特征,平均浓度分别为101.0和242.1 ng·L^-1.随着海水盐度从低到高,DMS浓度出现先降低后升高的现象,DMS高值出现在九龙江最大浑浊带的河口峰面处.     

温度和盐度对锥状斯氏藻生长的影响

采用正交试验和单因子试验研究了温度和盐度对锥状斯氏藻(Scrippsiella trochoidea)生长的影响。结果表明,温度为25℃、盐度为25是锥状斯氏藻的最佳生长条件,此时最大比生长率和种群细胞数达到最高。而过低或过高的温度或盐度均会抑制其生长。     

高盐度有机废水对生物处理系统的影响研究进展

高盐度有机废水是一种难处理的废水,如皂素废水、石油开采废水以及海水直接利用后排放出的废水,主要是因为高含盐量对微生物的生长有很强的抑制作用,严重抑制了生物法在高盐度废水处理中的应用。讨论了国内外对含高盐有机废水生化处理技术的研究进展以及盐对生物处理系统的影响,并全面分析了高盐度有机废水生物处理的可行性。     

长江口及邻近水域春季鱼卵仔鱼分布与环境因子的关系

根据2001~2003年间,每年5月长江口及邻近水域现场调查资料,分析了鱼卵仔鱼分布的年际变化特征及其与环境因子的关系。结果显示:鱼卵仔鱼的数量三年间的年际变化起伏较大,2002年为鱼卵高峰期,2003年为仔鱼峰值期。鱼卵以东经122°15′为界,呈现东少西多的分布格局,仔鱼则以30°45′为界,呈南少北多的分布趋势。盐度相对水温对鱼卵所产生的效应更为明显,水温较盐度则是影响仔鱼的更重要因子。长江径流量变动对鱼卵仔鱼数量和分布产生一定的影响。浮游桡足类与鱼卵仔鱼的摄食关系决定了其丰度变化影响着鱼卵仔鱼的数量变动。     

Evaluation of the Temporal Transferability of a Model Describing Dissolved Solids in Streams of the Upper Colorado River Basin1

Kenney, Terry A. and Susan G. Buto, 2012. Evaluation of the Temporal Transferability of a Model Describing Dissolved Solids in Streams of the Upper Colorado River Basin. Journal of the American Water Resources Association (JAWRA) 48(5): 1041‐1053. DOI: 10.1111/j.1752‐1688.2012.00667.x Abstract: The application of a nonlinear least‐squares regression model describing the sources and transport of dissolved solids in streams of the Upper Colorado River Basin, and that was calibrated using data from water year 1991, was evaluated for use in predicting annual dissolved‐solids loads for the years 1974 through 1998. Simulations for each water year were run using annual climate data. To evaluate how well the model captures the observed annual variability across the basin, differences in predicted annual dissolved‐solids loads for each simulated year and 1991 were compared with differences in monitored annual loads. The temporal trend of the differences between predicted annual loads for the simulated years and the load for 1991 generally followed the trend of the monitored loads. The model appears to underpredict the largest annual loads and overpredict some of the smaller annual loads. An underprediction bias for wetter years was evident in the residuals as was an overprediction bias, to a lesser degree, for drier years. A regression analysis on the residuals suggests that the underprediction bias is associated with precipitation differences from 1991 and with previously defined downward trends in dissolved‐solids concentrations in the basin. In general, given the representative climatic conditions, the model adequately performs throughout the period examined. However, the model is most transferable to years with climatic conditions similar to 1991.     

高盐废水盐度对中度嗜盐菌生长动力学的影响

高盐废水盐度变化是影响微生物生长的重要因素之一。研究以中度嗜盐菌Halomonassp．STSY．3为例,测定其在不同盐度下生长对数期末OD600,并以葡萄糖为限制性基质,利用Monod方程,对菌株进行生长动力学拟合。结果表明,Halomonassp．STSY-3的最适生长盐度为7％（以NaCl计）,此盐度下其OD600 为2．56,而0%和34％盐度下OD600分别为0．47和0．06;Halomonassp．STSY-3的生长动力学模型与实验数据能较好地拟合,在最适生长盐度下动力学模型参数μmax 为2．257h-1,Ks为0．0082g／L。比较不同盐度下STSY-3生长动力学参数,得出中度嗜盐菌STSY-3的生长存在3个明显分区：最适盐度区（盐度2％～9％）、嗜盐过渡区（盐度9％～20％和0．68％～1．76％）及生长抑制区（盐度≤2％或≥20％）。其中嗜盐过渡区0．68％～1．76％由于范围较小,实际意义小,忽略不计。     

Integral assessment of estrogenic potentials of sediment-associated samples

GOAL, SCOPE AND BACKGROUND: Exogenic endocrine-active substances are also called 'Endocrine Disrupting Chemicals' (EDC). They imitate or hinder the function of natural endogenic hormones or disturb the synthesis or the metabolism of hormones or of hormone receptors. The Enzyme-Linked Receptor Assay (ELRA) can detect estrogenic and anti-estrogenic effects at the level of receptor binding and is a useful tool for the integrative detection of contaminant effects. Although the test system has been used repeatedly in sediment assessments, the questions have remained concerning how it responds to variations in the physico-chemical matrix. For some bioassays, the salinity of the sample is a critical factor. This is especially relevant when testing wastewater samples or when sediment-associated samples in the tidal reaches of rivers are tested. Sediments in the tidal reaches of rivers change their salinity several times a day. Against this background, it would be beneficial to have a test procedure of known salinity tolerance. On account of this, the salinity tolerance of the ELRA was tested, assessed with reference substances at several salinity levels, and compared with the E-Screen method and a Yeast Estrogen Screen (YES), which are also frequently applied in environmental testing. The aim of this paper was to explore when the salinity limits within these test procedures are applicable. The trials should reveal the working range to be expected, characterize the salinity-dependent variations in sensitivity of the test, and provide options for methodological adjustments to improve the stability against increased salinity. METHODS: The ELRA was carried out with the human Estrogen Receptor alpha. (ER) using the same principle like a competitive immunoassay based on ligand-protein interaction. However, an essential difference is the use of a physiologically relevant receptor instead of an antibody as a linking protein. The ELRA measures the competition of sample estrogens and anti-estrogens against estradiol supplied as a BSA-coating conjugate for the binding site of dissolved ER. Estradiol or xeno-estrogen binding is quantified by a biotynilated anti-ER antibody and the subsequent measurement of peroxidase activity by a streptavidin-POD-biotin complex. The E-Screen was performed with the human breast cancer cell line MCF-7, which expresses the estrogen receptor constitutively. Cell proliferation depends on binding of estrogens or xeno-estrogens with the receptor. After incubation, estrogen-dependent cell growth was measured by sulforhodamin B staining. The YES was performed with a recombinant yeast strain, transfected with a receptor and a reporter plasmid bearing the estrogen receptor and a vitellogenin gene fused with the reporter gene lacZ. Estrogen or xeno-estrogen-dependent gene induction was measured indirectly by LacZ activity. The salinity levels were simulated in varying concentrations with NaCl from 0 to 40 per thousand or Artificial Sea Water (ASW) from 0 to 32 per thousand. RESULTS: The study characterized the factor 'salinity' for the prospective application fields of the ELRA. With reference substances such as 17-beta-estradiol, the ELRA showed classical sigmoidal concentration-effect relations in a range from 0.05 to 100 microg/l under physiological conditions. After a methodological adjustment to compensate decreasing receptor-binding affinity of estrogens and xeno-estrogens at higher salinity levels, the ELRA became applicable under salinity conditions up to concentrations of 20.5 per thousand. In tests, the ELRA reached under the influence of salinity a mean limit of detection of 0.062 microg/l 17-beta-estradiol. The mean relative inter-test error was around 11%. Above concentrations of 20.5 per thousand there is a risk of false negative assessment. Compared with the E-Screen method using the MCF7 cell line and the yeast estrogen test system (YES), the ELRA shows a lower sensitivity to 17-beta-estradiol. In the E-Screen, the cell proliferation was strongly reduced by sodium chloride induced cytotoxicity. In comparison with the E-Screen, the salinity tolerance of the YES and YAS methods is significantly higher. DISCUSSION: Despite adaption, total salinity tolerance could not be achieved with the ELRA. Freshwater samples were generally appraisable. Higher salinity levels above 20.5 per thousand would tend towards false negative results. The low inter-test error of 11% makes the ELRA suitable for the detection of estrogenic and anti-estrogenic potentials of single substances, substance mixtures, and of environmental samples. CONCLUSIONS: The ELRA is very fast and reproducible, it can be used for high-throughput screening in a microplate format at low cost, it is robust to microbial contamination, and is less susceptible to cytotoxic interferences than cell culture methods. RECOMMENDATIONS AND PERSPECTIVES: In their established form, the YES and the E-Screen methods are not applicable for liquid phase testing at higher salinity conditions. The salinity-adapted test version of the ELRA described here shows a broader working range for samples. Native water samples of more or less brackish origin or high-salinity effluent samples are testable. Results of tests with sediment associated samples of different salinity will be subject of a forthcoming publication.