“A cluster-based spatial analysis of recycling boundaries aligning anaerobic digestion infrastructure with food waste generation in California”

• A spatial clustering model was developed to locate recycling infrastructure. novel method of mapping food waste generation as points is presented. Volumetric hauling burden a key determinant boundaries. Food ideal material for at small scales. Decentralized infrastructure can promote localized circular economies. In 2016, California passed Senate Bill (SB) 1383 reduce short-lived climate pollutants, including methane gas. Towards this end, the law specifically mandates 75% reduction organic waste, (FW), from landfills by 2025. However, current infrastructural capacity treat diverted limited throughout state, so new facilities will need be built these valuable flows. The purpose study investigate size and scale that maximize FW treatment minimize GHG emissions. To do so, uses case Los Angeles County decentralized network small-scale, containerized anerobic digestors (ADs) in region. dataset used with iterative-descent simulate potential “FW-sheds” ADs using Geographic Information Systems (GIS). Monte Carlo simulation generate range results analysis collection compare systems two different AD capacities. show relatively scales reduced systems. proposed modeling approach first step developing zero net energy solution promotes economy direct response SB and, more broadly, global change.