Study on Accurate Estimation of Pollutant Flux in Watershed Based on Bayesian Reasoning
Because it is difficult to determine the source of pollution in the basin,which directly affects the accuracy of the estimation of water pollutant flux,a method based on Bayesian inference for accurate estimation of water pollutant flux is proposed.According to the Bayesian inference principle,identify the pollution source,determine the surface net flow and cut-off flow of the basin water body,and establish the flux estimation model of the basin pollutants according to the pollutant type,surface net flow and cut-off flow.The pollutant flux regression equation is obtained according to the flux estimation model,and the accurate estimation of the pollutant flux in the basin is realized according to the calculation results of the flux regression equation.The experimental results show that the method has high accuracy,good performance and reliable estimation results when it is used to estimate the pollutant flux in the river basin.
Bayesian inferenceriver basin pollutantsflux estimationflux estimation model
万方数据
维普
