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    题名 作者 年代 出处 被引量
1Characterization of natural organic matter in water for optimizing water treatment and minimizing disinfection by-product formation显示文摘Introduction Natural organic matter(NOM)present in source water has significant impact on water treatment processes and on the quality of drinking water.NOM is a complex mixture of diverse groups of organic compounds,humic and fulvic acids,proteins,peptides,carbohydrates,and heterogeneousQi Zheng Xiaoqiu Yang Wenchao Deng X.Chris Le Xing-Fang Li 2016Journal of Environmental Sciences2016,28,4:13
2High-performance size exclusion chromatography with a multi-wavelength absorbance detector study on dissolved organic matter characterisation along a water distribution system显示文摘This study examined the associations between dissolved organic matter(DOM) characteristics and potential nitrification occurrence in the presence of chloramine along a drinking water distribution system. High-performance size exclusion chromatography(HPSEC) coupled with a multiple wavelength detector(200–280 nm) was employed to characterise DOM by molecular weight distribution, bacterial activity was analysed using flow cytometry, and a package of simple analytical tools, such as dissolved organic carbon, absorbance at 254 nm, nitrate,nitrite, ammonia and total disinfectant residual were also applied and their applicability to indicate water quality changes in distribution systems were also evaluated. Results showed that multi-wavelength HPSEC analysis was useful to provide information about DOM character while changes in molecule weight profiles at wavelengths less than 230 nm were also able to be related to other water quality parameters. Correct selection of the UV wavelengths can be an important factor for providing appropriate indicators associated with different DOM compositions. DOM molecular weight in the range of 0.2–0.5 k Da measured at210 nm correlated positively with oxidised nitrogen concentration(r = 0.99), and the concentrations of active bacterial cells in the distribution system(r = 0.85). Our study also showed that the changes of DOM character and bacterial cells were significant in those sampling points that had decreases in total disinfectant residual. HPSEC-UV measured at210 nm and flow cytometry can detect the changes of low molecular weight of DOM and bacterial levels, respectively, when nitrification occurred within the chloraminated distribution system.Huiping Huang Emma Sawade David Cook Christopher W.K.Chow Mary Drikas Bo Jin 2016Journal of Environmental Sciences2016,28,6:7
3臭氧氧化饮用水过程中可同化有机碳生成的影响因素显示文摘研究臭氧化过程中,臭氧投加量、p H值和离子强度对可同化有机碳(assimilable organic carbon,AOC)生成量的影响.结果表明,臭氧投加量在1~5 mg·L^(-1)范围,AOC的生成量随着投加量的增加而增加,但过高的臭氧投加量(9 mg·L^(-1))反而导致AOC生成量下降.p H越高(6~9),AOC的生成量也越高.AOC的生成量随着离子强度的升高而下降.臭氧氧化强疏组分AOC的生成量最高,其次为弱疏,而极亲和中亲最低.研究发现,AOC的生成量与小分子有机物的SUVA有密切的关系,较低的SUVA产生较多的AOC.董秉直 张佳丽 何畅 2016环境科学2016,37,5:7
4Characterisation of dissolved organic matter in stormwater using high-performance size exclusion chromatography显示文摘Understanding the complexity of dissolved organic matter(DOM)in stormwater has drawn a lot of interest,since DOM from stormwater causes not only environmental impacts,but also worsens downstream aquatic quality associated with water supply and treatability.This study introduced and employed high-performance size exclusion chromatography(HPSEC)coupled with an ultraviolet–visible(UV–vis)diode array detector to assess changes in stormwater-associated DOM characteristics.Stormwater DOM was also analysed in relation to storm event characteristics,water quality and spectroscopic analysis.Statistical tools were used to determine the correlations within DOM and water quality measurements.Results showed that dissolved organic carbon(DOC)and UV absorbance at 254 nm(UV_(254))as conventional DOM parameters were found to be correlated well to the changes in stormwater quality during each of the three storm events studied.Both detector wavelengths(210and 254 nm)and their ratio(A_(210)/A_(254))were found to provide additional information on the physiochemical properties of stormwater-associated DOM.This study indicated that A_(210)/A_(254) is an important parameter which could be used to estimate the DOM proportions of functional groups and conjugated carbon species.This study provided also an understanding of stormwater quality constituents through assessing variability and sensitivity for various parameters,and the additional information of rainfall characteristics on runoff quality data for a better understanding of parameter correlations and influences.Huiping Huang Christopher W.K.Chow Bo Jin 2016Journal of Environmental Sciences2016,28,4:3
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