Geospatial artificial intelligence (AI) and machine learning models are set to transform the monitoring of air quality in major Indian cities, including Delhi, Mumbai, Bengaluru, Chennai, and Kolkata. This groundbreaking development was announced by a senior scientist during the India Clean Air Summit (ICAS) 2023.
“We must link up SDGs and air pollution indicators, as highlighted by the United Nations 2030 Agenda, particularly in the context of SDGs 3.9 (which relates to mortality from environmental pollution as per the 2030 SDG Agenda) and 11.6 (which sustainable cities and communities) … Using geospatial technology, we need to establish well-distributed ground observation points to measure in-situ pollution parameters, integrating them with space data for accurate modelling.” The implementation of these innovative models will enable officials to identify pollution hotspots, pinpoint sources of contamination, and make informed decisions to mitigate the adverse effects of air pollution.
