DOI 10.5281/zenodo.7460822 1068 | V17.I12 TO ANALYZE THE EUTROPHICATION PROCESS AND ITS EFFECTS ON INTERACTING AQUATIC POPULATION- FEM AND ANN BABITHA B.S Research Scholar, Jain University, Bangalore, India. Email: babiraghu@gmail.com ANITA CHATURVEDI Department of Mathematics School of Engineering & Technology, Jain University, Bangalore, India. Email: acvedli.05@gmail.com KOKILA RAMESH Department of Mathematics School of Engineering & Technology, Jain University, Bangalore, India. Email: r.kokila@jainuniversity.ac.in B. SHILPA Department of Science and Humanities, PES University, Bengaluru, Karnataka, India. Email: abshilpa1297@gmail.com RANA GILL University Centre for Research & Development, Department of Mechatronics, Chandigarh University, Mohali, Punjab. Email: Rana.cse@cumail.in Abstract In the aquatic environment, the level of eutrophication is increasing. It is critical to precisely assess eutrophication in order to treat it appropriately. Moreover, the assessment of eutrophication has not been satisfactorily resolved since it is fraught with uncertainties. Hence, we have considered a lake that has been eutrophicated due to an overabundance of algae and other biological species induced by nutrient flow from home drainage, water runoff, and other sources, as well as nutrients created from detritus. The variables bilinear interactions such as cumulative nutrient concentrations, algal (phytoplankton) and fish population densities, detritus density, and dissolved oxygen concentration are addressed. ANN model has been established by utilizing the pertinent parameters data set attained by finite element method. Here, 80% of the data used in the development of the multilayer perceptron network, 10% of the data has been used for training the model and 10% for testing. The study's outcomes revealed that the built ANN models can generate accurate predictions. Keywords: Eutrophication Process; Artificial Neural Networking; Finite Element Analysis. 1. INTRODUCTION The conversion of most of the earth's land surface to agricultural or urban area has had a significant impact on nutrient fluxes at all sizes, from local to global. Natural ecosystems, on the whole, do a good job of conserving nutrients and storing organic matter. Such conservation mechanisms are compromised in all agricultural systems, and management raises nutrient inputs above natural levels. Together, these changed ecological traits result in enormous nutrient leakage into rivers. Even when contemporary sewage treatment equipment is used, humans concentrate nutrients from meals and discharge excreta, resulting in massive nutrient