Authors:
Nabonita Pal,Sangita Agarwal,Mourani Sinha,Sufia Zaman,Abhijit Mitra,DOI NO:
https://doi.org/10.26782/jmcms.2022.10.00003Keywords:
Chlorophyll a,Nonlinear Autoregressive ,Neural Network Model,Digha coast,,food chain,phytoplankton.,Abstract
The time series analysis of chlorophyll a was carried out for more than 3 decades (1984-2018) from the coastal water of Digha and the data bank were subject to Nonlinear Autoregressive Neural Network Model to evaluate the status of the coastal water in 2050. The concentration of chlorophyll a ranged between 1.05 mgm-3 (in 2009) to 5.16 mgm-3 (in 1984) during the span of 35 years (real-time data). Chlorophyll a has a great role to drive the marine and estuarine food chain as it acts as the engine to transfer the energy derived from the Sun through different tires of the food chain. The decreasing trend of chlorophyll a with time is a warning signal for the fishery products from the region as the phytoplankton containing chlorophyll a serve as the major food of the fishes.Refference:
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