چکیده مقاله
Heavy metals removal from polluted water is one of the main environmental concerns Although modified sand filtration process showed a promising performance in heavymetals removal, the operational conditions play important role in the feasibility of usingthis approach In this study, we used response surface methodology RSM in order todevelop experimental model for prediction and find the optimal conditions for heavymetals removal from water by modified sand filtration with Pistachio hall waste PHW According to the results, the maximum removal of 77%, 68%, 61% and 79% wereachieved for Pb, Cu, Co and Ni, respectively under the optimal conditions of flow rate Q = 5 mL/min, fixed bed column height H = 10 cm and adsorbent PHW mas M =7 4 g/kg It was observed that, the PHW mass has the highest impact on heavy metalsremoval and then column height, while the flow rate had adverse impact on the finalremoval Ultimately, four quadratic models were developed by the RSM to predict theremoval efficiency of Pb, Cu, Co and Ni The results of model evaluation revealed thatthe proposed model could accurately predict the removal efficiency R2 > 0 999 Thisstudy provides a useful guideline for the application of modified sand filter in heavymetals removal from contaminated water
کلیدواژهها
نویسندگان
شیوه ارجاع
Ganji, Hoda and Taghavijeloudar, Mohsen and Khodashenas, Saeed-Reza,1403,Modeling for prediction and optimization of heavymetals removal from water using modified sandfiltration: Response surface methodology (RSM),Second International Conference on applied researches in civil engineering, architecture and urban planning
ارائهشده در
مجموعه مقالات دومین کنفرانس بین المللی تحقیقات پیشرفته در مهندسی عمران، معماری و شهرسازی20 آبان 1403