Abstract

Air pollution problems can be large, complex, and ill-structured. They can vary from location to location and combine many complex components: urban expansion, increasing vehicles and industrial emissions, biomass burning, geographic and meteorological conditions, cultural aspects, and economic effects. However, the existing research, accumulated knowledge, and local research priorities are spread over many disciplines and lack a systematic mapping to help manage and develop new strategies for researchers and policy makers. Ontological analysis can be used as a tool to capture this complexity through simple natural-language descriptions and a structured terminology. We describe the development of an ontological framework for "Air Quality Management in Chile" and its application to evaluate the current state of the research. The process was based on focus groups and validated by a panel of multidisciplinary experts. We used the developed framework to highlight the topics that have been heavily emphasized, lightly emphasized, or overlooked in the Chilean research. The framework developed can help researchers, practitioners, and policy makers systematically navigate the domain and provide the opportunity to correct blind spots by enabling more informed hypotheses that deal with air quality issues at a national level. We believe that applying this same process to different countries will yield different results (due to differences in local knowledge and experience). The framework presented could be used to evaluate other important stakeholders (government, media, NGOs, etc.), which will provide a complete picture of how local societies deal with air quality issues at different levels. Additionally, local government institutions will benefit from this analysis by improving funding allocation and opening new research opportunities to improve the distribution of the local body of knowledge.Integr Environ Assess Manag2020;00:1-9. (c) 2020 SETAC