Numerical Simulations and Fish Diversity in Relation to Physico-chemical Parameters of Four Aquatic Stations in Badagry Division, Lagos, Nigeria

Aim: This study investigated common fish assemblages in four aquatic stations (Gbaji, Topo, Agboju and Ajegunle) relation to physico-chemical parameters of its water as well simulates numerical values the for year 2024.
 Methodology: Data were collected computed using standard methods algorithm machine learning model respectively. Statistical tools employed include ANOVA Pearson correlation (r) test. All (except turbidity, chemical oxygen demand biochemical demand) within permissible limits.
 Results: The results Pearson’s analysis showed that increase amount species sampling was significantly strongly linked decrease value (r = −0.571, P=.05), total dissolved solids (r= −0.696, P=.05) conductivity (r=−0.882, P<0.01) while number oxygen(r= 0.991, P=.05). However, salinity 0.387), sulphate 0.212) turbidity 0.282) had weak positive relationship with species. prediction by modeling system revealed at Agboju, hardness would exceed limit February September, carbondioxide (C02) February, May June, 2024.On other hand, level C02 Ajegunle January, May, August November, 2024. For both Ajegunle, limits throughout months Conclusion: Hence, effects higher could declination distribution demersal which often shuttle between bottom surface.