Research application coal material is prepared from maccadamia peel and denatured by H2O2 to treat methylene blue

Abstract

Macadamia shell contains a carbon content (47 - 49%), in addition, the shell contains 46.52% Oxidation, Hidro 6.10%, Nitrogen 0.36% and relatively low ash content of only 0.22%, this indicates the grain Macadamia has the potential to become activated carbon thanks to the above characteristics.
This study was conducted to modify activated carbon by oxidizing agents to change the surface structure of activated carbon from hydrophobic to hydrophilic, non-polarizing to polarization, increasing the amount of adsorption simultaneously creating more durable links between dyes and
activated carbon. Study of Methylene Blue wastewater treatment with coal from Maccadamia shell modified with H2O2 agent at H2O2 ratio : coal = 10:1. Research results show that Methylene Blue adsorption capacity reaches 1g /266.26mg Methylene Blue at optimal conditions corresponding
to 25% concentration and 48 hours of soaking time. Analysis of infrared spectra showed that coal is modified by H2O2 agent with functional groups –OH, Carboxylic functional group C=O, group C-H in NH3, C–N group in Amine aliphatic or in Alcohol or Phenol and C–O bonding. Modified coal by H2O2 oxidation agent has Methylene Blue color treatment efficiency of 93.26%, corresponding to the original color of 474.67 Pt - Co at the respective optimal conditions pH = 8.5, dose of 1 g/L
and treatment time of 60 minutes. Research results are similar to other research results and are applicable to color wastewater treatmentMoreover, experimental results based on the results of the 6 simulations for simulation error, the track error in the CIMSS test decreased 14% and 14.3% respectively in the 48-hour forecast period and 72 hours compared with the MPH test, and decreased 14% and 23.9% respectively compared to the global GFS forecast. For storm intensity (Pmin and Vmax), the CIMSS test also resulted in significantly improved errors in the 72-hour forecast period compared to MPH testing. These results confirmed that the assimilation of the satellite wind data into the input field of the model has a positive effect on Haiyan storm intensity and trajectory prediction skills. We may used this research to applying the multi-physics ensemble Kalman filter for forecasting storms affecting Vietnam.