Modelling the Effect of Weather Conditions on Cyanobacterial Bloom Outbreaks in Lake Dianchi: a Rough Decision-Adjusted Logistic Regression Model

摘要: Lake Dianchi, one of the main water sources for Kunming, China, experiences severe cyanobacterial blooms due to rapid urbanization and local industrial development. Scientific interest in mechanisms that cause has been increasing. An integrated model combining rough set theory with binary logistic regression was used examine correlation between weather conditions Dianchi based on daily monitoring data. The yielded quantitative correlations assessed meteorological variables, including temperature, wind velocity, direction. decision process connected blooms, which were verify results. It shown by comparing methods, decision-adjusted significantly improved accuracy. may inform decision-makers at purification plants quality lake assist them making more cost-effective decisions.