Water, Год журнала: 2025, Номер 17(8), С. 1211 - 1211

Опубликована: Апрель 18, 2025

In this study, inexpensive, environmentally friendly, and biodegradable cellulose filter paper was used to load nano zero-valent iron (nZVI), effectively improving the dispersibility of nZVI successfully preparing supported modified (FP-nZVI). Subsequently, capacity FP-nZVI remove Cr(VI) in a flow system explored. characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD). Traditional single-factor experiments often require large number repeated when analyzing interactions among multiple variables, resulting long experimental cycle high consumption materials. This research Response Surface Methodology (RSM) based on Box-Behnken Design (BBD) Artificial Neural Network (ANN) optimize predict removal process Cr(VI). RSM investigated between response variable (Cr(VI) rate) independent variables concentration, pH value, rate). A highly significant quadratic regression model constructed, which proven F value (93.92), an extremely low p-value (<0.0001), determination coefficient (R2 = 0.9918). An ANN established forecast correlation rate Both models demonstrate remarkable consistency with data; however, from perspective statistical parameters, has more advantages; R2 reaches 0.9937, is higher than that (0.9918); values indicators such as MSE, RMSE, MAE, MAPE, AAD, SEP are all smaller those RSM. The exhibits greater excellence prediction error, fluctuation, closeness actual excellent ability. experiment for treating optimized, achieving good results. Meanwhile, it also provides valuable reference similar studies.

Язык: Английский