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Applying the Water Footprint and dynamic Structural Decomposition Analysis on the growing water use in China lduring 1997-2007

机译:水足迹和动态结构分解分析在1997-2007年中国增长用水中的应用

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摘要

China has experienced rapid economic development during the recent years. In the meantime, the total water use in China has greatly increased, causing considerably severe water shortage. To quantify how the social-economic development drives the change of water use is of great importance for Chinese government. This study aims to quantitatively investigate the determinants of the growing water use in China during 1997-2007. China's water usages in 1997-2007 are indicated by the Internal Water Footprint (IWF), External Water Footprint (EWF), and Exported Virtual Water (ExVW) using an input-output based WF analysis. A dynamic Structural Decomposition Analysis (SDA) model is employed to decompose the changes in the total WFs (TWF) into five social-economic determinants. The dynamic SDA model, which uses a nonlinear path function to simulate the real paths followed by determinants, is a further development of a path-based SDA algorithm. To validate the dynamic SDA, a comparison study is carried out against the commonly used mean decomposition model. The results from the WF analysis show that, during 1997-2007, the increase of China's water use is dominated by the ExVW, which increases significantly due to the expansion of exports. While the changes in the IWF and EWF tend to help mitigating the water pressure. The dynamic decomposition results indicate that the consumption level is the dominant factor of China's water use growth, and the changes in water-saving technology and final demand pattern contribute largely to offsetting the water use growth. The model comparison shows that the dynamic SDA model is more advanced in obtaining reliable results and addressing the static issue of traditional SDA models. This study provides a robust framework for understanding the water use situation from the social-economic perspectives, which benefits sustainable water management. (C) 2015 Elsevier Ltd. All rights reserved.
机译:近年来,中国经济发展迅速。同时,中国的用水总量大大增加,导致严重的水短缺。量化社会经济发展如何驱动用水变化对中国政府来说非常重要。本研究旨在定量研究1997-2007年间中国用水增长的决定因素。使用基于投入-产出的WF分析,内部水足迹(IWF),外部水足迹(EWF)和出口虚拟水(ExVW)表示了1997-2007年中国的用水情况。采用动态结构分解分析(SDA)模型将总WF(TWF)的变化分解为五个社会经济决定因素。动态SDA模型是基于路径的SDA算法的进一步发展,该模型使用非线性路径函数来模拟行列式所遵循的实际路径。为了验证动态SDA,针对常用的均值分解模型进行了比较研究。 WF分析的结果表明,在1997年至2007年期间,中国用水量的增长主要由ExVW决定,由于出口的增加,该用水量显着增加。 IWF和EWF的变化往往有助于减轻水压。动态分解结果表明,消费水平是中国用水量增长的主导因素,节水技术和最终需求方式的变化在很大程度上抵消了用水量的增长。模型比较表明,动态SDA模型在获得可靠结果和解决传统SDA模型的静态问题方面更为先进。这项研究提供了一个强大的框架,可以从社会经济的角度了解用水情况,这有利于可持续的水资源管理。 (C)2015 Elsevier Ltd.保留所有权利。

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