Issue |
E3S Web Conf.
Volume 202, 2020
The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|
|
---|---|---|
Article Number | 12020 | |
Number of page(s) | 7 | |
Section | Public Health and Epidemiology | |
DOI | https://doi.org/10.1051/e3sconf/202020212020 | |
Published online | 10 November 2020 |
Faecal contamination in groundwater and its association with population density: a study in coastal areas of Semarang
1 Public Health Department, Faculty of Public Health, Diponegoro University, Semarang 50275, Indonesia
2 Geological Engineering Department, Faculty of Technic, Diponegoro University, Semarang 50275, Indonesia
3 Industrial Engineering Department, Faculty of Technic, Diponegoro University, Semarang 50275, Indonesia
* Corresponding author: dinapangestuti@lecturer.undip.ac.id
Increased population density causes the supply of clean water to be unable to meet the requirements. The coastal area of Semarang is also faced with a tidal problem. While good sanitation is a top priority in improving health, nutrition and productivity (6th SDG target), the cause of water borne disease must be considered. This research was conducted in May 2019 at 30 points in the coastal area of Semarang, covering 9 sub-districts. Assessment of microbiology is carried out on coliform parameters and the presence of Eschericia coli. Data on septic tank type, depth, distance of the septic tank to the sample points and drainage frequency were collected. Population data are based on data from BPS. Hydrogeological mapping was used to describe the distribution of faecal contamination and other factors. Around 73.3% of the groundwater samples exceeded the coliform parameter limit and 86.7% of the samples were found to have E. coli. Only 37.5% of the septic tank is cemented and 66.7% with a safe distance from the water source. Population density was not significantly related to poor groundwater quality, because even though the area is less densely populated, E. coli is found positive in ground water.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.