Lake regime evaluation based on similarity evaluation method, taking Poyang Lake as an example

Abstract

Lake regime shift theory provides effective support for managing lake eutrophication. However, there are limited studies on identifying lake regime status using mathematical methods. Based on the similarities in characteristics and evolutionary patterns of lake ecosystems, and utilizing long-term lake water ecological monitoring data, this study introduces a method for evaluating lake regime status using total nitrogen (TN), total phosphorus (TP), and chlorophyll-a (Chl-a) as evaluation indices. Taking Poyang Lake as an example, the lake regime status was evaluated. The results showed that: The weights of total nitrogen (TN), total phosphorus (TP), and chlorophyll a (Chl-a) in Poyang Lake were 0.207, 0.234 and 0.559, respectively, with Chl-a being the main controlling factor for evaluating the lake regime. The lake regime of Poyang Lake is in the Algae-Macrophytes Coexist state. The similarity assessment method has been proven effective for determining a lake regime using sparse water eco-environmental data.

Keywords

• Regime shift
• similarity assessment
• regime discrimination
• shallow lake
• Algae-Macrophytes Coexist state