Gases, Volume 5, Issue 4
2025 December - 8 articles
Cover Story: Urban air pollution remains one of the most critical challenges for public health and sustainable city planning. AERQ is a decision support system that integrates IoT sensor networks, high-performance computing, and advanced dispersion modeling to support near real-time air quality management. Using traffic-related pollutants as key indicators, AERQ combines continuous monitoring with the AERMOD model to simulate present conditions and future mitigation scenarios. Applied to the city of Cagliari, Italy, the system achieves fine spatial and temporal resolution while drastically reducing computational time, enabling multi-year scenario analysis within hours. Delivered through an intuitive web-based platform, AERQ bridges science, policy, and citizens, demonstrating how integrated digital infrastructures can transform air quality governance into a proactive, data-driven process. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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