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- W2371984491 abstract "Formation of algal bloom in lakes and reservoirs takes several days,leading to eutrophication disaster. Therefore,it is necessary to set up realtime water quality monitoring systems for eutrophication water quality management. In the present study,we took Xin'anjiang Reservoir(Qiandao lake) as an example to investigate the quantitative relationships between key eutrophication indices including total nitrogen(TN),total phosphorus(TP),permanganate index(CODMn),chlorophyll a(Chl),trophic state index(TSI),transparency(SD) and in-situ water quality parameters such as phycocyanobilin(PC),turbidity(TURB),chromophoric dissolved organic matter(CDOM),electric conductivity(EC),and dissolved oxygen(DO),by in-situ high frequency water quality monitoring for better predicting the risk of eutrophication disaster. The results indicated that water quality varied substantially in different regions in Xin'anjiang Reservoir. The range of SD,TN,and TP were from 1.10 m to 8.60 m,0.78 mg·L-1 to 1. 68 mg·L-1,and 7. 90 μg·L-1 to 71. 1 μg·L-1,respectively,over 54 sampling sites in 2013 which provided a broad representativeness of water quality in the region.Correlation analysis showed that CDOM was significantly correlated with TN,TP,CODMn,Chl,TSI,and SD,illustrating CDOM as an important automatic monitoring parameter for eutrophication conditions. TURB was closely related to TP,Chl,SD and TSI,and PC was significantly correlated with TN and CODMn. Similar relationship held for Chlsobtained by sensor on TN,SD. Values estimated from multiple regression analysis for eutrophicationindices fit well with the observed values,which could meet the demand of water management. The results are of great importance for eutrophication disaster monitoring and warning in lakes and reservoirs." @default.
- W2371984491 created "2016-06-24" @default.
- W2371984491 creator A5073285070 @default.
- W2371984491 date "2014-01-01" @default.
- W2371984491 modified "2023-09-24" @default.
- W2371984491 title "Estimation of lake trophic level index with high-frequency sensor parameters" @default.
- W2371984491 hasPublicationYear "2014" @default.
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