Literature DB >> 27780119

Comparison of sand-based water filters for point-of-use arsenic removal in China.

Kate Smith1, Zhenyu Li2, Bohan Chen3, Honggang Liang4, Xinyi Zhang1, Ruifei Xu5, Zhilin Li6, Huanfang Dai1, Caijie Wei1, Shuming Liu7.   

Abstract

Contamination of groundwater wells by arsenic is a major problem in China. This study compared arsenic removal efficiency of five sand-based point-of-use filters with the aim of selecting the most effective filter for use in a village in Shanxi province, where the main groundwater source had arsenic concentration >200 μg/L. A biosand filter, two arsenic biosand filters, a SONO-style filter and a version of the biosand filter with nails embedded in the sand were tested. The biosand filter with embedded nails was the most consistent and effective under the study conditions, likely due to increased contact time between water and nails and sustained corrosion. Effluent arsenic was below China's standard of 50 μg/L for more than six months after construction. The removal rate averaged 92% and was never below 86%. In comparison, arsenic removal for the nail-free biosand filter was never higher than 53% and declined with time. The arsenic biosand filter, in which nails sit in a diffuser basin above the sand, performed better but effluent arsenic almost always exceeded the standard. This highlights the positive impact on arsenic removal of embedding nails within the top layer of biosand filter sand and the promise of this low-cost filtration method for rural areas affected by arsenic contamination.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biosand filter; Contamination; Drinking water; Iron; SONO filter

Mesh:

Substances:

Year:  2016        PMID: 27780119     DOI: 10.1016/j.chemosphere.2016.10.021

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  2 in total

1.  Wastewater treatment by slow sand filters using uncoated and iron-coated fine sand: impact of hydraulic loading rate and media depth.

Authors:  Srishti Verma; Achlesh Daverey; Archana Sharma
Journal:  Environ Sci Pollut Res Int       Date:  2018-10-30       Impact factor: 4.223

2.  Effect of aeration, iron and arsenic concentrations, and groundwater matrix on arsenic removal using laboratory sand filtration.

Authors:  Cynthia A Coles; Danial Rohail
Journal:  Environ Geochem Health       Date:  2020-07-21       Impact factor: 4.609

  2 in total

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