Abstract

The Chilean Congress is promoting desalination as a solution to meet the mining industry’s growing water demand. However, this rapid expansion of desalination infrastructure comes with trade-offs. This includes a significant energy cost for treatment, as well as socio-environmental impacts on indigenous communities, tourism, fisheries, and the marine ecosystem. This paper introduces a regional-scale model for analyzing competing trade-offs through a case study in the Antofagasta mining region of Chile. Through geospatial data analysis in ArcGIS, new desalination infrastructure investments supplying water to mines are overlain with features of concern raised by communities during the environmental impact assessment (EIA) process, such as national parks, indigenous land and fisheries. The resultant model provides a test-bed for analyzing the cumulative effects associated with desalination expansion and for investigating scenarios to mitigate negative social-environmental impacts. The model simulates alternative scenarios for desalination locations and pipeline routes according to competing constraints (i.e. to minimize cost and energy constraints while also avoiding ecological and social hotspots). The ultimate contribution of the work is a demonstration of how the proactive adoption of a regional-scale infrastructure planning might have led to different desalination investment decisions.