Characterisation of dissolved organic matter in stormwater using high-performance size exclusion chromatography

作     者：Huiping Huang Christopher W.K.Chow Bo Jin 

作者机构：School of Chemical EngineeringThe University of Adelaide School of Earth and Environmental SciencesThe University of Adelaide Australian Water Quality CentreSA Water Corporation 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2016年第28卷第4期

页      面：236-245页

核心收录：

学科分类：082803[工学-农业生物环境与能源工程] 08[工学] 0828[工学-农业工程] 0804[工学-仪器科学与技术] 

基　　金：supported by Water Quality Research Australia(Project No.1020-09) a SA Water Capital Project to setup the monitoring system 

主　　题：Stormwater Dissolved organic matter HPSEC 

摘      要：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 *** 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 *** DOM was also analysed in relation to storm event characteristics,water quality and spectroscopic *** tools were used to determine the correlations within DOM and water quality *** 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 *** 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 *** 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 *** 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.