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Spatial Dynamic Model of Detergent Distribution in Well Water and Their Impact on Community Health in Small Island

Environmental and Public Health Maritime Journal · Vol. 1 No. 1 (2025)

Published
2025-07-01
Publisher
Coastal Domestic Water Research Group
Language
en

Abstract

BACKGROUND: Domestic activities of coastal and island communities are factors that affect the quality and quantity of groundwater availability, including the use of detergents. Chemicals used in detergents can have a negative impact, both on public health and the environment. The dynamic spatial model is a solution to overcome the problem of detergent contamination. AIM: This study aims to build a dynamic model of the distribution of detergent pollutants in well water and their impact on public health in small islands. METHODS: This research is observational research using spatial analysis approach with kriging interpolation method and dynamic modeling with stock flow. Simple random sampling (simple random sampling). RESULTS: The results of the spatial modeling show that the patternthe distribution of contamination is higher in the east to the center of the island. The dynamic modeling results show that the detergent concentration distribution pattern in well water with the lowest concentration is 0.0 mg/l and the highest is 0.16389 mg/l. The pessimistic scenario experienced the highest increase of 0.21 mg/l, while the optimistic scenario experienced the highest increase of 0.03 mg/l. An optimistic scenario is built with 75% off-island laundry activities and WWTP management. CONCLUSION: Based on the results of the analysis, laundry activities and WWTP management must be considered in order to minimize detergent contamination on small islands.

Keywords

Collaboration network of the authors

20 authors · 34 co-authorship links

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Co-authorOrganisationJoint articles
Agus Bintara BirawidaAffiliation unknown4
Arief Pawennari MuhammadAffiliation unknown1
BirgitaAffiliation unknown1
Marwah Nur FajrinAffiliation unknown1
Marwah FajrinAffiliation unknown1
Eka IndriyasariAffiliation unknown1
Darmawansyah DarmawansyahAffiliation unknown1
Nirmayasri DatuanAffiliation unknown1
Aznaeni DuppaAffiliation unknown1
Burhanudin BaharAffiliation unknown1
Muh. Fajaruddin NatsirAffiliation unknown1
Machrany SyarifAffiliation unknown1
Nurhasmi NurhasmiAffiliation unknown1
Makmur SelomoAffiliation unknown1
Maryam Uswatun HasanahAffiliation unknown1
Musdalifah MusdalifahAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ephmj/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Spatial Dynamic Model of Detergent Distribution in Well Water and Their Impact on Community Health in Small Island</dc:title>
	<dc:creator xml:lang="en">subhan, muhamad</dc:creator>
	<dc:creator xml:lang="en">Daud, Anwar</dc:creator>
	<dc:creator xml:lang="en">Ibrahim, Erniwati</dc:creator>
	<dc:creator xml:lang="en">Sila, Nurlia</dc:creator>
	<dc:subject xml:lang="en">Dynamic modeling</dc:subject>
	<dc:subject xml:lang="en">Spatial analysis</dc:subject>
	<dc:subject xml:lang="en">Detergent</dc:subject>
	<dc:subject xml:lang="en">Well water</dc:subject>
	<dc:subject xml:lang="en">Small Island</dc:subject>
	<dc:description xml:lang="en">BACKGROUND: Domestic activities of coastal and island communities are factors that affect the quality and quantity of groundwater availability, including the use of detergents. Chemicals used in detergents can have a negative impact, both on public health and the environment. The dynamic spatial model is a solution to overcome the problem of detergent contamination. AIM: This study aims to build a dynamic model of the distribution of detergent pollutants in well water and their impact on public health in small islands. METHODS: This research is observational research using spatial analysis approach with kriging interpolation method and dynamic modeling with stock flow. Simple random sampling (simple random sampling). RESULTS: The results of the spatial modeling show that the patternthe distribution of contamination is higher in the east to the center of the island. The dynamic modeling results show that the detergent concentration distribution pattern in well water with the lowest concentration is 0.0 mg/l and the highest is 0.16389 mg/l. The pessimistic scenario experienced the highest increase of 0.21 mg/l, while the optimistic scenario experienced the highest increase of 0.03 mg/l. An optimistic scenario is built with 75% off-island laundry activities and WWTP management. CONCLUSION: Based on the results of the analysis, laundry activities and WWTP management must be considered in order to minimize detergent contamination on small islands.</dc:description>
	<dc:publisher xml:lang="en">Coastal Domestic Water Research Group</dc:publisher>
	<dc:date>2025-07-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ephmj/article/view/45347</dc:identifier>
	<dc:source xml:lang="en">Environmental and Public Health Maritime Journal; Vol. 1 No. 1 (2025)</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ephmj/article/view/45347/13080</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Environmental and Public Health Maritime Journal</dc:rights>
</oai_dc:dc>