Selenium (Se) kowicity che to mining is an emerging concern worldwide. Traces of selenium were found in some mine rompt of Talcher and Ib Valley coolflelda. Selenius toxicity con degrade the ecosystem and impact human health. This paper focuses on enhancing the surface characteristics of dolochar to remove zelenium from mine sumpa of ecoal fields of Talcher and is Valley. The process optimization for the removal of taxic selenium from apuresa solution and developing a predictive model saing response surface methodology, SEM, EDX, XRD pHape FT-IR, and BET sserface area analyzers were employed to access and characterize the structural and surface properties of the dolockar. The experiments demonstrated the efficacy of dolochar in removing selenium from an aparous solution, achieving a maximum removal percentage with low initial concentration and low pll, wük as ahorbene damage of 5.5 g/L within 90 min, The pltge of the adsorbent avelace was found to be 8. Bas-Behnken design (BBD) fits well with R-3.99 with SD-1.3 experimental data. The study strongly agreed with the perub second-order kinetic model and Langmuir Lotherm (R-0.99), and B3D obtained similar results. Thus, aluminum modified dolochar may be preferred as a potential adsorbent for the removal of selenium from the mine sumpe Keywords: Selenium, Adsorption, Dolochar, Isotherm; Responan Surface Methodology