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All Journal ASEAN Natural Disaster Mitigation and Education Journal Applied Environmental Science Calamity: A Journal of Disaster Technology and Engineering
Wezia Berkademi
Department Of Environmental Science, Graduate School Of Sustainable Development, Universitas Indonesia, Central Jakarta, DKI Jakarta 10430
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Other

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Composite tidal flood risk assessment for adaptation prioritization Aswin Kurnia Ramadhan; Wezia Berkademi; Rachmadhi Purwana
Calamity: A Journal of Disaster Technology and Engineering Vol. 4 No. 1: (July) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v4i1.2026.3759

Abstract

Background: Coastal areas of Jakarta, Indonesia face increasing flood risk due to sea-level rise, land subsidence, tidal inundation, dense urban development, and uneven social vulnerability. Existing coastal flood studies in Indonesia often analyze hazard, exposure, or vulnerability in isolation, limiting their value for integrated adaptation, especially in data-limited planning. This study aims to create a data-minimal risk assessment framework for Penjaringan District, North Jakarta, by integrating tidal flood trends, asset exposure values, and social vulnerability at the urban village level. Methods: The study used official tidal flood records, spatial building data, asset values from official unit costs and content ratios, and social vulnerability indicators (population density, slum settlement proportion, and malnutrition prevalence). Analysis included trend assessment, exposure estimation, min-max normalization, composite risk indexing, sensitivity analysis, risk typology, and hazard-vulnerability quadrant analysis. Findings: Results show a spatial mismatch between hazard concentration and composite risk. Pluit accounted for 149 of 171 flood-affected days (87.1%) and scored the highest Hazard Index (HI = 1.000), but Penjaringan reached the highest Risk Index (RI = 0.628), due to a Very High Exposure Index (EI = 0.816) and High Social Vulnerability Index (SVI = 0.667). District replacement asset value was estimated at Rp 159.42 trillion. Sensitivity analysis showed Penjaringan remained the highest risk in most scenarios, except for hazard-dominant, where Pluit ranked highest. Conclusion: Flood risk in Penjaringan cannot be explained by hazard frequency alone. The proposed framework offers an initial risk assessment and adaptation prioritization tool in data-limited coastal urban areas. Novelty/Originality: This study presents a replicable framework combining tidal flood records, asset exposure values, social vulnerability, composite risk indexing, sensitivity tests, risk typology, and hazard-vulnerability quadrant analysis.
Policy-practice disconnect in climate disaster response: The case of the Zimbabwe Republic police during Cyclone Idai Fungai Hwacha; Mahawan Karuniasa; Wezia Berkademi
ASEAN Natural Disaster Mitigation and Education Journal Vol. 4 No. 1: (July) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/andmej.v4i1.2026.3814

Abstract

Background: Climate-induced disasters are testing the institutional limits of law enforcement agencies in sub-Saharan Africa, yet police forces remain peripheral to formal disaster risk governance. Cyclone Idai (March 2019) devastated the Chimanimani District of Zimbabwe, exposing critical gaps in the translation of national climate and disaster policies into ground-level action. This study examines the operational experience of the Zimbabwe Republic Police (ZRP) during the cyclone response, probing the disconnect between formal policy mandates and actual field performance. Methods: A qualitative case study design was used, grounded in semi-structured open-ended questionnaires administered to 15 purposively selected informants, including ZRP officers, government stakeholders, community leaders, and non-governmental organizations. Thematic analysis following Braun and Clarke’s six-stage framework was applied, with triangulation against key national policy and legal documents, including the National Disaster Risk Management Policy and the Civil Protection Act. Findings: All 15 participants (100%) reported that infrastructure collapse, destroyed roads, and bridges were an overriding constraint on police mobility, while 73% cited a total communication network failure. ZRP officers performed broad humanitarian roles, including search and rescue (86.6%), retrieval of the deceased (46.6%), and security of relief supplies (53.3%), operated with severe resource deficits and without climate-specific training. Communities praised the personal dedication of officers while directing frustration squarely at institutional and governance failures. Policy frameworks existed in name but had not been operationalized into routine training, equipment procurement, or coordinated pre-disaster planning. Conclusion: A deep policy-practice disconnect defines Zimbabwe’s disaster response architecture. Effective climate resilience requires the ZRP to be repositioned from reactive responders to proactive participants in national disaster governance, supported by decentralized authority, dedicated funding, and mandatory disaster training. The study proposes a Disaster Adaptive Response (DAR) model to guide this transition. Novelty/Originality of this article: This is the first empirical study to center police institutional capacity within Zimbabwe’s climate disaster governance, advancing the DAR model as an anticipatory framework for law enforcement-led disaster response in low-resource contexts.
Comparative analysis of seasonal air quality around an industrial area: A case study using air dispersion modelling and pollution index assessment Prestisia Intan Nurcahyani Kusumaningtyas; Wezia Berkademi; Haruki Agustina
Applied Environmental Science Vol. 4 No. 1: (July) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v4i1.2026.3811

Abstract

Background: Manufacturing activities can release combustion gases and fine particles whose ambient distribution varies with meteorology and source characteristics. Integrating source oriented dispersion modelling with Indonesia’s air pollutant standard index/indeks standar pencemar udara (ISPU) can provide complementary spatial and regulatory interpretations. Methods: This secondary-data case study combined facility monitoring records with archived 24 hour AERMOD outputs for rainy and dry season scenarios in Banten, Indonesia. Carbon monoxide (CO), nitrogen oxides/nitrogen dioxide (NOx/NO2), fine particulate matter (PM2.5), and sulfur dioxide (SO2) were assessed. Model output consistency, units, seasonal differences, and ISPU calculation were independently cross checked. Because complete AERMOD input files, receptor level time series, and co-located monitoring series were unavailable, independent calibration and statistical model observation validation were not performed. Findings: Dry-season maximum concentrations were higher for all modelled pollutants: CO increased from 42.745 to 51.226 µg/m³, NOx from 467.8 to 561 µg/m³, PM₂.₅ from 274 to 329 µg/m³, and SO₂ from 483.9 to 580 µg/m³. The relative increase was approximately 20% for each pollutant. ISPU values were good for CO (39.36), NO₂ (22.64), and SO₂ (36.65), while PM₂.₅ reached 68.68 and was classified as moderate. Conclusion: The combined assessment identifies the dry season as the higher-concentration scenario and PM₂.₅ as the principal ambient-air management priority. Facilities should strengthen dry-season surveillance, fugitive-dust control, filtration maintenance, and combustion-efficiency checks. The results are screening-level and comparative because the study relied on secondary model outputs and one monitoring dataset. Novelty/Originality of this article: The article demonstrates how seasonal AERMOD outputs and pollutant specific ISPU values can be used together to prioritize industrial air quality controls while explicitly distinguishing modelled maxima from measured ambient concentrations.
Co-Authors Aswin Kurnia Ramadhan Fungai Hwacha Haruki Agustina Mahawan Karuniasa Prestisia Intan Nurcahyani Kusumaningtyas Rachmadhi Purwana