Wezia Berkademi
Department of Environmental Science, Graduate School of Sustainable Development, Universitas Indonesia, Central Jakarta, DKI Jakarta 10430

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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 documents, including Zimbabwe’s National Climate Change Response Strategy (2017), the National Disaster Risk Management Policy (2013), and the Civil Protection Act [Chapter 10:06]. 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 in industrial areas use thermal energy, electricity, and material processing that may generate combustion gases and particulate emissions to the surrounding environment. An integrated interpretation is needed because source-oriented dispersion modeling explains potential spatial exposure, while the Indonesian Air Pollutant Standard Index (ISPU) translates ambient concentrations into air quality categories relevant for regulatory control and environmental management. Methods: An original case study was developed for an industrial manufacturing facility in Banten, Indonesia. Secondary production data, ambient air monitoring data, and meteorological scenarios were combined with 24-hour American Meteorological Society and Environmental Protection Agency Regulatory Model (AERMOD) dispersion outputs for rainy and dry seasons. Carbon monoxide, nitrogen oxides, fine particulate matter, and sulfur dioxide were assessed, and ambient concentrations were converted into the Air Pollutant Standard Index according to Indonesian regulation. Findings: The dry season produced higher modeled concentrations for all pollutants. Carbon monoxide increased from 42.745 to 51.226 µg/m³, nitrogen oxides from 467.8 to 561 µg/m³, fine particulate matter from 274 to 329 µg/m³, and sulfur dioxide from 483.9 to 580 µg/m³. Integrated analysis of AERMOD and ISPU showed that, although carbon monoxide, nitrogen dioxide, and sulfur dioxide remained in the good category, fine particulate matter reached an ISPU value of 68.68 (moderate), identifying it as the priority pollutant because seasonal dispersion patterns were consistent with regulatory air quality classification. Conclusion: The integration of dispersion modelling and ISPU calculation identifies fine particulate matter as the main ambient air priority despite acceptable monitored concentrations. Novelty/Originality of this article: This study integrates seasonal AERMOD dispersion modelling with ISPU assessment to identify priority pollutants by combining spatial dispersion patterns with regulatory air quality classification.