Loading…

Generalised Equation for the Effect of pH on Arsenic Removal Efficiency Using Natural Adsorbents

With the aim of developing generalized equation for predicting effect of pH on arsenic removal efficiency through adsorption process, this study presents experimental results on the arsenic removal efficiency using a natural sand (Skye sand which was earlier found to be very effective in removing ar...

Full description

Saved in:
Bibliographic Details
Published in:Water, air, and soil pollution air, and soil pollution, 2021-11, Vol.232 (11), Article 444
Main Authors: Imteaz, Monzur Alam, Khan, Shahnoor Alam, Kaur, Parminder
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:With the aim of developing generalized equation for predicting effect of pH on arsenic removal efficiency through adsorption process, this study presents experimental results on the arsenic removal efficiency using a natural sand (Skye sand which was earlier found to be very effective in removing arsenic from water) under varying pH conditions. Series of batch experiments were conducted with the Skye sand (naturally found in Victoria, Australia) as adsorbent and commercially available standard solution (diluted with deionised water) as arsenic contaminated water. It is observed that highest arsenic removal efficiency was achieved with arsenic contaminated water having a pH of 5.0, below and above which the removal efficiencies decreased following a convex parabolic pattern. Most of the other similar studies also found similar patterns with the varying pH values, achieving maximum Arsenic removal efficiencies for pH values ranging 4.0–8.0. All the experimental measured values of arsenic removals were converted to a standard scaling factor for pH, termed as “SFPH”. Study reveals that the SFPH values can be expressed as a second-order polynomial equation. Also, SFPH values for As(III) and As(V) are having insignificant differences.
ISSN:0049-6979
1573-2932
DOI:10.1007/s11270-021-05398-4