中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Development of Models for Predicting the Predominant Taste and Odor Compounds in Taihu Lake, China

文献类型:期刊论文

AuthorQi, Min1,2; Chen, Jun1; Sun, Xiaoxue1,2; Deng, Xuwei1; Niu, Yuan1; Xie, Ping1
SourcePLOS ONE
Issued Date2012-12-19
Volume7Issue:12Pages:e51976
ISSN1932-6203
KeywordPURGE-AND-TRAP SOLID-PHASE MICROEXTRACTION VOLATILE ORGANIC-COMPOUNDS EARTHY-MUSTY ODORANTS FENG-SHEN RESERVOIR DRINKING-WATER GAS-CHROMATOGRAPHY MASS-SPECTROMETRY SOUTH TAIWAN BY-PRODUCTS
Corresponding AuthorXie, P (reprint author), Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol China, Donghu Expt Stn Lake Ecosyst, Wuhan, Hubei, Peoples R China.
AbstractTaste and odor (T&O) problems, which have adversely affected the quality of water supplied to millions of residents, have repeatedly occurred in Taihu Lake (e. g., a serious odor accident occurred in 2007). Because these accidents are difficult for water resource managers to forecast in a timely manner, there is an urgent need to develop optimum models to predict these T&O problems. For this purpose, various biotic and abiotic environmental parameters were monitored monthly for one year at 30 sites across Taihu Lake. This is the first investigation of this huge lake to sample T&O compounds at the whole-lake level. Certain phytoplankton taxa were important variables in the models; for instance, the concentrations of the particle-bound 2-methylisoborneol (p-MIB) were correlated with the presence of Oscillatoria, whereas those of the p-beta-cyclocitral and p-beta-ionone were correlated with Microcystis levels. Abiotic factors such as nitrogen (TN, TDN, NO3-N, and NO2-N), pH, DO, COND, COD and Chl-a also contributed significantly to the T&O predictive models. The dissolved (d) T&O compounds were related to both the algal biomass and to certain abiotic environmental factors, whereas the particle-bound (p) T&O compounds were more strongly related to the algal presence. We also tested the validity of these models using an independent data set that was previously collected from Taihu Lake in 2008. In comparing the concentrations of the T&O compounds observed in 2008 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 easily collected environmental data, will be of practical value to the water resource managers of Taihu Lake for evaluating the probability of T&O accidents.
English AbstractTaste and odor (T&O) problems, which have adversely affected the quality of water supplied to millions of residents, have repeatedly occurred in Taihu Lake (e. g., a serious odor accident occurred in 2007). Because these accidents are difficult for water resource managers to forecast in a timely manner, there is an urgent need to develop optimum models to predict these T&O problems. For this purpose, various biotic and abiotic environmental parameters were monitored monthly for one year at 30 sites across Taihu Lake. This is the first investigation of this huge lake to sample T&O compounds at the whole-lake level. Certain phytoplankton taxa were important variables in the models; for instance, the concentrations of the particle-bound 2-methylisoborneol (p-MIB) were correlated with the presence of Oscillatoria, whereas those of the p-beta-cyclocitral and p-beta-ionone were correlated with Microcystis levels. Abiotic factors such as nitrogen (TN, TDN, NO3-N, and NO2-N), pH, DO, COND, COD and Chl-a also contributed significantly to the T&O predictive models. The dissolved (d) T&O compounds were related to both the algal biomass and to certain abiotic environmental factors, whereas the particle-bound (p) T&O compounds were more strongly related to the algal presence. We also tested the validity of these models using an independent data set that was previously collected from Taihu Lake in 2008. In comparing the concentrations of the T&O compounds observed in 2008 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 easily collected environmental data, will be of practical value to the water resource managers of Taihu Lake for evaluating the probability of T&O accidents.
WOS HeadingsScience & Technology
WOS SubjectMultidisciplinary Sciences
WOS Subject ExtendedScience & Technology - Other Topics
WOS Keyword PlusPURGE-AND-TRAP ; SOLID-PHASE MICROEXTRACTION ; VOLATILE ORGANIC-COMPOUNDS ; EARTHY-MUSTY ODORANTS ; FENG-SHEN RESERVOIR ; DRINKING-WATER ; GAS-CHROMATOGRAPHY ; MASS-SPECTROMETRY ; SOUTH TAIWAN ; BY-PRODUCTS
SponsorshipNational Basic Research Program of China (973 Program) [2008CB418101]; State Key Laboratory of Freshwater Ecology and Biotechnology [2008FBZ01]
Indexed TypeSCI
Language英语
WOS IDWOS:000312694300066
Available Date2013-10-31
源URL[http://ir.ihb.ac.cn/handle/342005/19299]  
Collection水生生物研究所_淡水生态学研究中心_期刊论文
Affiliation1.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol China, Donghu Expt Stn Lake Ecosyst, Wuhan, Hubei, Peoples R China
2.Huazhong Agr Univ, Coll Fisheries, Wuhan, Hubei, Peoples R China
Recommended Citation
GB/T 7714
Qi, Min,Chen, Jun,Sun, Xiaoxue,et al. Development of Models for Predicting the Predominant Taste and Odor Compounds in Taihu Lake, China[J]. PLOS ONE,2012,7(12):e51976.
APA Qi, Min,Chen, Jun,Sun, Xiaoxue,Deng, Xuwei,Niu, Yuan,&Xie, Ping.(2012).Development of Models for Predicting the Predominant Taste and Odor Compounds in Taihu Lake, China.PLOS ONE,7(12),e51976.
MLA Qi, Min,et al."Development of Models for Predicting the Predominant Taste and Odor Compounds in Taihu Lake, China".PLOS ONE 7.12(2012):e51976.

入库方式: OAI收割

来源:水生生物研究所

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