Calculation of water footprint of the iron and steel industry: a case study in Eastern China

被引:96
|
作者
Gu, Yifan [1 ]
Xu, Jin [1 ]
Keller, Arturo A. [2 ]
Yuan, Dazhi [3 ]
Li, Yi [1 ]
Zhang, Bei [1 ]
Weng, Qianting [1 ]
Zhang, Xiaolei [4 ]
Deng, Ping [5 ]
Wang, Hongtao [1 ,6 ]
Li, Fengting [1 ,6 ]
机构
[1] Tongji Univ, State Key Lab Pollut Control & Resource Reuse, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China
[2] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA
[3] Tongji Univ, Dept Chem, Shanghai 200092, Peoples R China
[4] BaoSteel Engn & Technol Grp Co Ltd, Shanghai 201900, Peoples R China
[5] Ningbo Iron & Steel Co Ltd, Ningbo 315800, Zhejiang, Peoples R China
[6] Minist Educ, Key Lab Yangtze River Water Environm, Shanghai 200092, Peoples R China
关键词
Water footprint assessment; Iron and steel industry; Life cycle assessment; Water risk; Cleaner production; VIRTUAL WATER; IMPACTS; ENERGY; METHODOLOGIES; CONSUMPTION;
D O I
10.1016/j.jclepro.2014.12.094
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
China is the largest producer of iron and steel in the world. This heavy industry is characterized by significant water consumption and numerous water-related hazards. In this study, we propose the use of water footprint instead of conventional indicators (fresh water consumption (FWC) per tonne of steel or water consumption (WC) per tonne of steel) for the iron and steel industry. Using an iron factory in Eastern China as an example, we develop a water footprint calculation model that includes direct and virtual water footprints. A system boundary analysis method is then proposed to develop a common and feasible industrial water footprint assessment methodology. Specifically, we analyze the characteristics of the iron and steel industry from a life cycle assessment perspective. A water risk assessment was performed based on the results of the water footprint calculations. The selected iron factory has a water consumption (blue water) footprint of 2.24 x 10(7) m(3), including virtual water, and a theoretical water pollution (gray water) footprint of 6.5 x 10(8) m(3) in 2011, indicating that the enterprise poses a serious risk to the water environment. The blue water and gray water footprints are calculated separately to provide more detailed water risk information, instead of adding these two indicators, which has less environmental significance. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:274 / 281
页数:8
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