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Journal : Journal of Social Research

The Impact of Climate Change Projections on Flood Vulnerability of Electrical Infrastructure in the Kapuas River Basin, West Kalimantan Indradjanue, Khotimah Ratna; Hermana, Joni
Journal of Social Research Vol. 5 No. 3 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i3.3055

Abstract

Climate change has increased the frequency and intensity of extreme hydrometeorological events, particularly floods, which have the potential to disrupt the reliability of the electricity system in West Kalimantan. This study aims to examine historical rainfall conditions and projections until 2060, map flood risk in the Kapuas watershed, and assess its impact on the electricity system. Rainfall analysis was conducted using CMIP6 climate projection data based on the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios for the 2026–2060 period. Flood risk mapping was carried out spatially using the Weighted Linear Combination (WLC) approach, incorporating parameters such as rainfall, land slope, land cover, and soil texture. Furthermore, flood risk maps were overlaid with transmission infrastructure and substations in the Kapuas watershed to identify vulnerability levels. The results show that the Kapuas watershed will remain in the very wet climate category until 2060, with more than 300 rainy days per year and an increasing tendency for extreme rainfall intensity, especially under the SSP5-8.5 scenario. Flood risk mapping indicates that most areas of the Kapuas watershed consistently fall within the high to very high flood risk category, particularly in downstream and lowland regions. The overlay results reveal that more than 85% of transmission towers and nearly all substations are located within high flood risk zones.
Assessment of Climate Change Vulnerability in the Muara Karang Power Generation Unit Rahmanissa, Aulia; Hermana, Joni
Journal of Social Research Vol. 5 No. 3 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i3.3064

Abstract

The Muara Karang Generation Unit in North Jakarta is located in a coastal area that is highly vulnerable to climate change, particularly due to rising ambient air temperatures, sea-level rise, and coastal inundation. These impacts have affected the plant’s operational performance, including reduced efficiency of gas and steam turbines, increased cooling system loads, and the occurrence of seawater intrusion within the power plant area. Such conditions have the potential to disrupt the reliability of electricity supply to the strategic areas of DKI Jakarta. Therefore, a comprehensive climate vulnerability assessment is required to evaluate the level of risk, as well as the technical and financial implications of climate change on power plant performance. This study employs the Climate Vulnerability Index (CVI) approach, which comprises three components: exposure, sensitivity, and adaptive capacity. Exposure analysis was conducted using historical data on ambient air temperature, sea surface temperature, and sea-level rise for the 1994–2024 period, along with CMIP6 climate projections for 2026–2060 under the SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios. Sensitivity was assessed based on reductions in generation capacity due to increased air and seawater temperatures, higher fuel consumption, and the risk of seawater intrusion. Adaptive capacity was evaluated through an assessment of existing climate change adaptation and mitigation measures implemented at the facility. All indicators were normalized and weighted to produce a composite vulnerability index value. The results of the climate vulnerability assessment, based on the parameters of ambient temperature, sea temperature, and sea-level rise at the Muara Karang Power Generation Unit, show index values of 0.36 in 2030 and 0.45 in 2050, corresponding to “low” and “moderate” vulnerability categories, respectively.