Socio-technical strategies and behavior change to increase the adoption and sustainability of wastewater resource recovery systems

Abstract

Given the increasing vulnerability of communities to the negative impacts of untreated wastewater, resource recovery (RR) systems provide a paradigm shift away from a traditional approach of waste separation and treatment towards a productive recovery of water, energy and nutrients. The aim of this research is to understand the relationships between factors that influence the adoption and sustainability of wastewater-based RR systems to inform technology implementation strategies. The study presents a theory-informed, community-influenced system dynamics (SD) model to provide decision-makers with an adaptable tool that simulates system-level responses to the strategies that are developed for the coastal town of Placencia, Belize. The modeling framework is informed by literature-based theories such as the theory of diffusion of innovations (TDI) and the theory of planned behavior (TPB). Various methods, including surveys, interviews, participatory observations, and a water constituents mass balance analysis are used to validate relationships and numerically populate the model. The SD model was evaluated with field data and simulated to identify strategies that will improve the adoption and sustainability of RR systems. Site demonstrations (marketing strategy) made a significant impact on the stock of adopted RR systems. The stock of sustained RR systems is driven by the sustainability rate (i.e. economic and environmental viability) which can be improved by more site demonstrations and tank options (technical strategy). These strategies, however, only contributed to incremental improvements in the system's sustainability performance. This study shows that changing community behaviors (i.e. reporting the correct number of users and reclaiming resources), represented by structural change in the SD model, is the more significant way to influence the sustainable management of the community's wastewater resources.

Keywords: Community-informed modeling; Mixed-method; Structural change; Sustainability measure; System dynamics; Technology adoption.