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Post-disaster reconstruction generates extraordinary demand for construction materials, often necessitating the rapid deployment of temporary concrete production facilities. While these systems are operationally essential for rebuilding, their environmental and public health impacts remain insufficiently examined through structured and reproducible analytical approaches. This study develops an integrated qualitative-dominant environmental risk assessment framework combining systematic documentary analysis, environmental pathway modeling, semi-quantitative risk scoring, and comparative benchmarking against established environmental health standards. Focusing on the reconstruction process following the 2023 Kahramanmaraş earthquakes in Türkiye, the study identifies and evaluates major environmental exposure pathways, including particulate matter emissions, wastewater discharge, soil degradation, and noise pollution. A semi-quantitative risk assessment model based on probability, severity, and exposure duration is applied to classify the relative intensity of identified environmental risks under post-disaster operational conditions. The findings demonstrate that accelerated reconstruction processes, emergency regulatory flexibility, and rapid industrial deployment substantially amplify cumulative environmental pressures in already vulnerable post-disaster environments. In response, the study proposes an integrated governance and engineering framework aimed at reducing environmental impacts while maintaining reconstruction efficiency. Methodological transparency is ensured through explicit documentation of data sources, screening procedures, analytical criteria, and risk classification logic. The study also acknowledges the limitations associated with restricted access to primary field measurements in post-disaster environments and therefore adopts a triangulated documentary and comparative analytical strategy. The proposed framework offers a transferable model for evaluating temporary industrial infrastructures in post-disaster reconstruction systems globally.
Aydın et al. (Fri,) studied this question.