GROUNDWATER QUALITY ASSESSMENT WITH EMPHASIS ON ARSENIC CONTAMINATION IN KYANGGONE AREA, MYANMAR

Arsenic and many of its compounds are incredibly potent poisons. Arsenic-contaminated groundwater consumption is the main route of human exposure to arsenicosis. Myanmar is also affected by arsenic contamination, mainly in Ayeyarwady Division. This study aims to observe and compare the arsenic concentration of wells in the Kyanggone region with the WHO and Myanmar National Drinking Water Quality Standards (MNDWQS). MNDWQ standards. Also, this study focuses on statics results of the public awareness dealing with arsenic. Some of the wells in the Kyanggone region were tested to investigate the arsenic concentration. Survey data were collected from 138 people using the survey data collection method to know the current association of arsenic with the public in the Kyanggone region. The collected data were analyzed using Statistical Package for Social Science (SPSS) software. This paper provides the results of arsenic-contaminated wells and public knowledge on arsenic and arsenic contaminated drinking water. This study showed that knowledge and information about arsenic are still needed to know the reality and more training must be made to have more awareness of public arsenic. Also, it is claimed that a suitable, economical, and effective treatment method must be applied to prevent the public lives from arsenic poisoning

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-28
DOI
https://doi.org/10.5281/zenodo.18940305
Primary Topic
Arsenic contamination and mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GROUNDWATER QUALITY ASSESSMENT WITH EMPHASIS ON ARSENIC CONTAMINATION IN KYANGGONE AREA, MYANMAR

Afridi Syed Imran
Zenodo (CERN European Organization for Nuclear Research)
Arsenic contamination and mitigation
article

GROUNDWATER QUALITY ASSESSMENT WITH EMPHASIS ON ARSENIC CONTAMINATION IN KYANGGONE AREA, MYANMAR

Afridi Syed Imran
article en

Abstract

Arsenic and many of its compounds are incredibly potent poisons. Arsenic-contaminated groundwater consumption is the main route of human exposure to arsenicosis. Myanmar is also affected by arsenic contamination, mainly in Ayeyarwady Division. This study aims to observe and compare the arsenic concentration of wells in the Kyanggone region with the WHO and Myanmar National Drinking Water Quality Standards (MNDWQS). MNDWQ standards. Also, this study focuses on statics results of the public awareness dealing with arsenic. Some of the wells in the Kyanggone region were tested to investigate the arsenic concentration. Survey data were collected from 138 people using the survey data collection method to know the current association of arsenic with the public in the Kyanggone region. The collected data were analyzed using Statistical Package for Social Science (SPSS) software. This paper provides the results of arsenic-contaminated wells and public knowledge on arsenic and arsenic contaminated drinking water. This study showed that knowledge and information about arsenic are still needed to know the reality and more training must be made to have more awareness of public arsenic. Also, it is claimed that a suitable, economical, and effective treatment method must be applied to prevent the public lives from arsenic poisoning

Zenodo (CERN European Organization for Nuclear Research)
The University of Agriculture, Peshawar (PK)
Clean water and sanitation
Openalex Percentile: Top 33%
Arsenic contamination and mitigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.