Based on the identified research gaps, this study aims to develop a structured an-alytical framework for evaluating the feasibility and performance of mobile air quality monitoring systems in medium-sized industrial cities. The specific objectives of this study are: • To comparatively assess the technical performance of fixed and mobile air quality monitoring stations in terms of measurement accuracy, spatial coverage, operational flexibility, and cost efficiency. • To develop a conceptual dynamic error correction model that accounts for traffic-related disturbances, vibration effects, and environmental variabil-ity in vehicle-mounted mobile monitoring systems. • To propose a structured cost–benefit evaluation framework adapted to resource-constrained urban environments. • To evaluate the spatial representativeness of mobile monitoring units using scenario-based modeling adapted to the urban structure of Mohammedia. The main contribution of this work lies in the integration of spatial coverage modeling, uncertainty analysis, and economic assessment within a unified analytical framework specifically adapted to medium-sized industrial cities.

Drawing from the research gaps identified, this study seeks to create a systematic analytical framework for assessing how well mobile air quality monitoring systems work in medium-sized industrial cities. This study has four main goals: • To compare how fixed and mobile air quality monitoring stations perform regarding measurement precision, area coverage, operational adaptability, and financial efficiency. • To create a theoretical dynamic error correction model that considers traffic disruptions, vibration impacts, and changing environmental conditions that affect vehicle-based mobile monitoring systems. • To design a systematic cost-benefit assessment framework tailored for cities with limited resources. • To assess how well mobile monitoring units represent different areas using scenario-based modeling designed for Mohammedia's urban layout. This work's primary contribution involves combining spatial coverage modeling, uncertainty analysis, and economic evaluation into a single analytical framework designed specifically for medium-sized industrial cities.