Improved cellular automaton cyanobacterial bloom prediction method

The invention discloses an improved cellular automaton cyanobacterial bloom prediction method, which comprises the following steps: firstly, inverting concentrations of N and P elements in a water body by using MODIS data, and then applying a result to an analytic hierarchy process (AHP) model. And...

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Hauptverfasser: ZHANG MAOLIN, GAO ZUYU, TANG YIDAN, WANG XINRUI, WANG ZHANCHU, LUAN GUIZE, ZHAO FEI, ZHANG SUJIN, ZHANG YIYANG, ZHU SHAOTING, SUN YONGQI, ZHANG XINGYI, WU YIHAN, LIN DANNI, ZHONG ZHENHUA, IWAKYO, ZHAO ZHIFANG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses an improved cellular automaton cyanobacterial bloom prediction method, which comprises the following steps: firstly, inverting concentrations of N and P elements in a water body by using MODIS data, and then applying a result to an analytic hierarchy process (AHP) model. And 3, establishing a diffusion potential index, and predicting the distribution of blue-green algae by using a cellular automaton model. Results show that the method can effectively predict the dynamic change of the blue-green algae from outbreak to diffusion in a short time. The model aims to solve the problem that cyanobacteria detection focuses on the formation mechanism of the cyanobacteria at present, and the cyanobacteria is rarely dynamically monitored, an improved cellular automaton cyanobacteria bloom prediction model is provided, the model effectively predicts dynamic transfer of the cyanobacteria from outbreak to diffusion in a short time, and help is provided for decision makers to monitor lake health. 本发明