Simulation analysis of chlorophyll-a concentration in Lake Dali by Hybrid Evolutionary Algorithm
In order to solve the eutrophication problem in Lake Dali,the variation of chlorophyll-a concentration in the west,center and east of Lake Dali was simulated and predicted by Hybrid Evolutionary Algorithm(HEA)based on the monitoring points data of water quality in Dali from 2000 to 2020,and the three monitoring points of chlorophyll-a concentration were revealed.The threshold and sensitivity analysis were combined to quantify the relationship between chlorophyll-a concentration and environmental factors.The results showed that:(1)the concentration of chlorophyll-a showed significant seasonal variations,which was significantly higher in summer and autumn than spring,but there was no significant difference in three monitoring points;(2)the correlation coefficients(R2)between simulated values and actual monitoring values in the western,central and eastern parts of Lake Dali were 0.50 0.62 and 0.75,respectively.And the root mean square error(RMSE)were 2.08,1.62 and 1.09 mg·m-3,respectively;(3)under certain range and threshold conditions,chlorophyll-a concentration had a positive correlation with permanganate index,biochemical oxygen demand,ammonia nitrogen and water temperature,and a negative correlation with water depth and Secchi disk depth,but no obvious correlation with pH.The results showed that the HEA could explain and simulate the changes of chlorophyll-a,and the accuracy of the model was high,which provided a certain data basis for the early prediction and early warning of lake Dali bloom.
万方数据
维普
