Department of Civil and Environmental Engineering, ‡Steinbrenner Institute for Environmental Education and Research, §Department of Engineering and Public Policy, Carnegie Mellon University , Pittsburgh, Pennsylvania 15213, United States.
Environ Sci Technol. 2014 Mar 18;48(6):3420-9. doi: 10.1021/es404830x. Epub 2014 Mar 7.
The United States Geological Survey (USGS) reports that U.S. water withdrawals have been steady since 1980, but the population and economy have grown since then. This implies that other factors have contributed to offsetting decreases in water withdrawals. Using water withdrawal data from USGS and economic data from Bureau of Economic Analysis (BEA), direct and total water withdrawals were estimated for 134 industrial summary sectors in the 1997 U.S. economic input-output (EIO) table and 136 industrial sectors in the 2002 EIO table. Using structural decomposition analysis (SDA), the change in water withdrawals for the economy from 1997 to 2002 was allocated to changes in population, GDP per capita, water use intensity, production structure, and consumption patterns. The changes in population, GDP per capita, and water use intensity led to increased water withdrawals, while the changes in production structure and consumption patterns decreased water withdrawals from 1997 to 2002. Consumption patterns change was the largest net contributor to the change in water withdrawals. The model was used to predict aggregate changes in total water withdrawals from 2002 to 2010 due to known changes in population and GDP per capita; a more complete model assessment must await release of updated data on USGS water withdrawals and EIO data.
美国地质调查局(USGS)报告称,自 1980 年以来,美国的用水量一直保持稳定,但此后人口和经济都有所增长。这意味着其他因素也有助于抵消用水量的减少。利用 USGS 的用水量数据和 BEA 的经济数据,对 1997 年美国经济投入产出(EIO)表中的 134 个工业综合部门和 2002 年 EIO 表中的 136 个工业部门进行了直接和总用水量的估算。利用结构分解分析(SDA),将 1997 年至 2002 年经济用水量的变化分配给人口、人均 GDP、用水强度、生产结构和消费模式的变化。人口、人均 GDP 和用水强度的变化导致用水量增加,而生产结构和消费模式的变化则导致 1997 年至 2002 年用水量减少。消费模式变化是用水量变化的最大净贡献者。该模型用于预测由于人口和人均 GDP 的已知变化,2002 年至 2010 年总用水量的总体变化;要对模型进行更全面的评估,必须等待 USGS 用水量和 EIO 数据的更新数据发布。