Spatial Modeling and Hotspot Analysis of CO, PM10, and PM2.5 on Batam Island Using Geographic Information Systems (GIS)
- DOI
- 10.2991/978-94-6463-982-7_12How to use a DOI?
- Keywords
- Remote Sensing; Geographic Information System (GIS); Air Quality; Kriging; Air Pollution
- Abstract
Air quality is a critical factor in safeguarding public health and the environment, particularly in Batam Island, which is experiencing rapid growth in industry, population density, and transportation, leading to increased emissions of air pollutants such as Carbon Monoxide (CO) and particulate matter (PM10 and PM2.5). This study aims to map air quality in Batam Island using Geographic Information Systems (GIS) to examine the spatial distribution of pollutants and to identify areas with varying levels of air pollution. Data were collected through direct field measurements using portable air quality detectors in various locations, including industrial zones, residential areas, ports, markets, healthcare facilities, places of worship, shopping centers, fuel stations, roads, offices, educational institutions, forests, culinary sites, and tourism areas. Sampling locations were determined using purposive sampling techniques. The collected data were analyzed through kriging interpolation with ArcGIS software and compared against national air quality standards as stipulated in Government Regulation No. 22/2021, Annex VII. The results indicate that most areas in Batam Island fall within the good air quality category; however, elevated CO concentrations were recorded in the industrial area of Batu Aji, while Nongsa exhibited significantly higher levels of PM10 and PM2.5.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Sudra Irawan AU - Titik Tri Yulianti PY - 2025 DA - 2025/12/29 TI - Spatial Modeling and Hotspot Analysis of CO, PM10, and PM2.5 on Batam Island Using Geographic Information Systems (GIS) BT - Proceedings of the 8th International Conference on Applied Engineering (ICAE 2025) PB - Atlantis Press SP - 186 EP - 200 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-982-7_12 DO - 10.2991/978-94-6463-982-7_12 ID - Irawan2025 ER -