Dave D. White
Co-director, Decision Center for a Desert City
Associate Professor, School of Community Resources and Development
Senior Sustainability Scientist, Global Institute of Sustainability
Arizona State University
Society and Natural Resources published online on June 14, 2013.
This case study applies the theoretical concepts of frame and framing processes to identify and describe the diagnostic and prognostic frames for water sustainability expressed through an environmental decision support system. The research examines the development of WaterSim, a computer simulation model of water supply and demand in central Arizona. Qualitative data were generated through semistructured individual and group interviews, participant observations, and document analysis. The analysis identified a diagnostic frame defining the water sustainability problem as uncertain and long-term water supply shortage caused by prolonged drought, climate change impacts, and population growth. The prognostic frame for water sustainability defined the solutions to be urban residential water demand management, retirement of agricultural lands, and conversion of agricultural water to municipal uses to achieve safe yield of groundwater. The results of the study are discussed in terms of implications for decision support systems (DSS) design.