A SARIMAX model for predicting cyanobacterial blooms considering external environmental factors is proposed. •. A concise set of key environmental factors ...
Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models ... Abstract. To address the challenge of forecasting harmful algal ...
Feb 3, 2024 · Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models ... To read the full-text of this research, you can ...
Sep 7, 2023 · Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models ... biomass can be well-predicted by the models with ...
Article "Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models" Detailed information of the J-GLOBAL is an information ...
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Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models. Yanan Guo et al.Feb 1, 2024. To address the challenge of forecasting ...
Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models. To address the challenge of forecasting harmful algal blooms caused ...
Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models · Yan GuoXijun LaiMin Gan. Environmental Science, Biology. Ecological ...
Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models. ... Time Series - a Study for Dongting Lake Wetlands in China. Remote ...
Cyanobacterial biomass prediction in a shallow lake using the time series SARIMAX models. Yan Guo, Xijun Lai, Min Gan. https://doi.org/10.1016/j.ecoinf ...