Application of microorganisms to determine the impact of infiltration layer and season on pit latrine groundwater contamination

This study was necessitated as a result of the frequent cases of diarrhoea observed among the students of the researcher. The researcher employed faecal indicator bacteria to assess the impact of the infiltration layer and seasonal variations on groundwater contamination from pit latrines in the municipalities where the students reside. The main experimental materials consisted of water samples collected from 15 randomly selected wells in the Tano Districts of Ghana. Total coliforms, faecal coliforms, and enterococci were used as faecal indicators. The Most Probable Number (MPN) method was employed to determine the presence of faecal indicators in the water samples. The results showed that enterococci and faecal coliforms were reliable indicators of human faecal contamination than total coliforms. The study revealed that coliform level (indicating pit latrine groundwater contamination) increased with greater pit depth and lower static water levels. Based on these findings, it is recommended that the future studies on human faecal contamination prioritize enterococci and faecal coliforms over total coliforms as indicators. To mitigate groundwater contamination from pit latrines, the equation EC = 0.12(PLD) – 0.09(SWL) + 2.37 can be applied to predict a safer infiltration layer between the bottom of pit latrines and the water table.

Authors

Institutions

Publication Details

Journal
Sustinere Journal of Environment and Sustainability
Published
2024-12-30
DOI
https://doi.org/10.22515/sustinere.jes.v8i3.425
Citations
1
Primary Topic
Wastewater Treatment and Nitrogen Removal
Type
article
Field-Weighted Citation Impact
0.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of microorganisms to determine the impact of infiltration layer and season on pit latrine groundwater contamination

Frank Awuah
1 citations
Sustinere Journal of Environment and Sustainability
Wastewater Treatment and Nitrogen Removal
0.13
article

Application of microorganisms to determine the impact of infiltration layer and season on pit latrine groundwater contamination

Frank Awuah
article en
1 citations

Abstract

This study was necessitated as a result of the frequent cases of diarrhoea observed among the students of the researcher. The researcher employed faecal indicator bacteria to assess the impact of the infiltration layer and seasonal variations on groundwater contamination from pit latrines in the municipalities where the students reside. The main experimental materials consisted of water samples collected from 15 randomly selected wells in the Tano Districts of Ghana. Total coliforms, faecal coliforms, and enterococci were used as faecal indicators. The Most Probable Number (MPN) method was employed to determine the presence of faecal indicators in the water samples. The results showed that enterococci and faecal coliforms were reliable indicators of human faecal contamination than total coliforms. The study revealed that coliform level (indicating pit latrine groundwater contamination) increased with greater pit depth and lower static water levels. Based on these findings, it is recommended that the future studies on human faecal contamination prioritize enterococci and faecal coliforms over total coliforms as indicators. To mitigate groundwater contamination from pit latrines, the equation EC = 0.12(PLD) – 0.09(SWL) + 2.37 can be applied to predict a safer infiltration layer between the bottom of pit latrines and the water table.

Sustinere Journal of Environment and SustainabilityVol. 8(3)
Presbyterian University, Ghana (GH), Abetifi Presbyterian College of Education
Clean water and sanitation
Openalex Percentile: Top 58%
Wastewater Treatment and Nitrogen Removal
0.13
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.

Application of microorganisms to determine the impact of infiltration layer and season on pit latrine groundwater contamination — Frank Awuah · Sustinere Journal of Environment and Sustainability (2024) | TGRS Research Map | TGRS