Analysis of Main Influencing Factors of Typical Odorants in Plain Reservoirs
There is a lack of systematic analysis of the influencing factors of odorants.In addition,the existing odor prediction models rely on a large amount of water quality data,which is not practical.In order to explore the main factors and to construct a prediction model using the predictable or controllable indicators,a total of 57 indicators including water quality data,dispatching data and meteorological data of Tianjin Beitang Reservoir from 2020 to 2023 were collected for correlation analysis and principal component analysis.Then meteorological data and dispatching data were used mainly,and water quality data was used supplementally to construct a prediction model by linear regression.The results showed that the regression models of 2-methylisorborneol(R2=0.627)and geosmin(R2=0.458)could be constructed by dissolved oxygen,water inflow,evaporation,et al.These results could provide guidance for the prevention and control of odor pollution in plain reservoirs.
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