Ambient Air Quality Assessment During Residential Construction in Jimbaran, Bali

I Wayan Gde Sutasoma (1), Made Ari Riska Dayanti (2), Made Panji Tirta Prakasa (3), Ni Wayan Suprianingsih (4)
(1) Faculty of Engineering and Informatics, Universitas Pendidikan Nasional, Denpasar, Indonesia
(2) Faculty of Engineering and Informatics, Universitas Pendidikan Nasional, Denpasar, Indonesia
(3) Faculty of Engineering and Informatics, Universitas Pendidikan Nasional, Denpasar, Indonesia
(4) Faculty of Engineering and Informatics, Universitas Pendidikan Nasional, Denpasar, Indonesia
How to cite (AJARCDE) :
Sutasoma, I. W. G., Dayanti, M. A. R., Prakasa, M. P. T., & Suprianingsih, N. W. (2026). Ambient Air Quality Assessment During Residential Construction in Jimbaran, Bali. AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment), 10(3), 550–554. https://doi.org/10.29165/ajarcde.v10i3.1223

Construction activities can temporarily degrade ambient air quality through fuel-combustion emissions and fugitive dust. This study assessed baseline conditions and predicted pollutant dispersion during a residential development in Jimbaran, Bali. Ambient sampling was conducted at a roadside/front-boundary point and the central project site on 22–23 May 2026 for SO?, NO?, CO, O?, non-methane hydrocarbons, TSP, Pb, PM??, and PM?.?. Construction-related increments of SO?, NO?, CO, TSP, PM??, and PM?.? were evaluated using emission-factor calculations and a Gaussian line-source screening model under atmospheric stability class B, a 1.5 m/s wind speed, and a 1.5 m receptor height. All baseline parameters complied with Indonesian ambient air standards, and the initial air quality index was classified as good. At a representative 100 m receptor, both material/equipment mobilization and building-construction scenarios remained below the standards. However, a conservative 10 m mobilization scenario increased NO? to 224.50 µg/m³ and TSP to 484.05 µg/m³ at the roadside point, exceeding the respective standards of 200 and 230 µg/m³. Modelled increments declined sharply with distance, indicating that the principal risk is localised around project access and material-handling routes. The findings support prioritizing covered loads, road wetting, speed control, immediate removal of spilled material, equipment maintenance, and targeted monitoring of NO2, TSP, PM??, and PM?.? at near-source receptors.


Contribution to Sustainable Development Goals (SDGs):
SDG 3: Good Health and Well-being
SDG 11: Sustainable Cities and Communities
SDG 13: Climate Action

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