Development of Mechatronic Solutions for Gis-Based Urban Air Quality Monitoring and Decision Support Systems: a Literature Review

Abstract

This review identifies gaps in current approaches to real-time urban air quality monitoring and discusses the potential of integrating mechatronic solutions with GIS for effective decision-making in urban planning. The findings aim to guide future research towards developing intelligent, automated, and spatially dynamic air quality assessment frameworks. Urban air quality monitoring has become a critical focus for environmental management, particularly in developing countries like Uzbekistan. This literature review explores the intersection of mechatronics, Geographic Information Systems (GIS), and the Internet of Things (IoT) in urban air quality monitoring. It highlights advances in sensor technologies, drones, robotics, and GIS integration, identifying research gaps in current methodologies. The findings contribute to the development of dynamic, real-time air quality monitoring systems and decision support tools.