文章基本信息

标题：SURROGATES FOR PREDICTING TASTE AND ODOR COMPOUNDS IN EUTROPHICATION SHALLOW LAKE
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作者：Heyong Huang ; Xiaoguang Xu ; Xiansheng Liu 等
期刊名称：Fresenius Environmental Bulletin
印刷版ISSN：1018-4619
出版年度：2019
卷号：28
期号：12
页码：9120-9128
语种：English
出版社：PSP Publishing
摘要：Black bloom has an offensive odor (caused by, e.g., dimethyl sulfide, DMS; dimethyl disulfide, DMDS; dimethyl trisulfide, DMTS and so on) and disastrous consequences for natural limnic ecosystems worldwide. However, research on black bloom and its taste and odor (T&O) compounds has been limited by the difficulty of predicting the time and location of black bloom events. Therefore, the determination of T&O compounds in each stage of black bloom are critical.In this study, potential surrogates were assessed using laboratory column experiments. Dissolved oxygen (DO), pH, electric potential (Eh), total nitrogen (TN), ammonium nitrogen (NH_4~+-N), total phosphorus (TP), soluble reactive phosphorus (SRP), total organic carbon (TOC) and so on are selected as initial surrogates. We also tested the validity of these models using an independent data set that was previously collected from Taihu Lake in 2015.Different surrogates contributed different significant to the T&O predictive models. For instance, the concentrations of DMTS were related to cyanobacteria biomass, temperature and other environmental factors. In comparing the concentrations of the T&O compounds observed in 2015 with those concentrations predicted from our models, we found that most of the predicted data points fell within the 90% confidence intervals of the observed values.This result supported the validity of these models in the studied system. These models, basing on laboratory collected environmental data, will be sometime extent for water resource management of eutrophic shallow lake in evaluating the probability of T&O incidence.
关键词：Taste and odor compounds;surrogates;predictive models