| Abstract: | Statistic and econometric regression models were established in this study to analyze and predict industrial water demand,
water deficits, and their future uncertainty in Beijing—a Chinese city with a severe water stress problem. A forecasting model
was selected based on a modeling evaluation by comparing predictions with observations. Four scenarios were designed to simulate
and analyze the future uncertainty of industrial water demand and the water deficit of Beijing. The modeling results for industrial
water demand suggested that Beijing industry would face a water deficit between 3.06 × 108 m3 in 2008 and 2.77×108 m3 in 2015, though its industrial water demand would decrease from 6.31×108 m3 to 4.84 ×108 m3 during this period of time. Results from simulated scenario illustrated that, due to the extreme water scarcity situation,
industry in Beijing would still face a serious water deficit problem even with a very optimistic scenario for the future. |
