Evaluating and Forecasting the Drivers of Water Use in a City: Model Development and a Case from Beijing

Abstract

Comprehensive studies examining the driving forces of water use and evaluating their historical and future effects are paramount for cities concerned about water shortages. Conventional studies using input-output-structural decomposition analysis (IO-SDA) identify aggregated factors (technology, industrial structure, and production scale), which are not detailed, concrete, and controllable enough for systematic water management into the future. Some recent strategies adding additional factors could be further improved. This study focuses on decomposing the factor of production scale into more detailed drivers (population, consumption pattern, and per capita consumption volume). This was achieved by extending the IO-SDA model with an impact = population × affluence × technology (IPAT) analysis. The resultant IO-IPAT-SDA approach developed a compartmentalized decomposition for water use drivers and evaluated their impacts on water use changes by different final users. This model can be used in scenario forecasting to evaluate drivers and potential effects into the future. As a test case, the study assessed the driving factors of water use in Beijing from 1987 to 2020 and found that Beijing’s production-related water use per year decreased from 3.92 to