Multi-scale water use balance for a typical coastal city in China
Multi-scale water use balance for a typical coastal city in China
复制标题
中国典型沿海城市多尺度用水平衡
DOI：
10.1016/j.jclepro.2019.06.336
复制
发表时间：
2019-11
影响因子：
11.1
通讯作者：
Chen Guoqian
中科院分区：
文献类型：
--
作者：
Liu Siyuan;Zhang Jianjiao;Han Mengyao;Yao Yuxin;Chen Guoqian
Coastal cities play significant roles in the strategy of regional economic development as well as national water resource supply. As a typical coastal city in Hebei Province, China, Qinhuangdao is the main water supplier in Hebei Province but also faces increasingly scary water shortages at the same time. Taking Qinhuangdao as a case, this work analyzes the water supply and demand of a coastal city by multi-scale input-output analysis and conducts a comprehensive assessment on the water resource balance from the perspectives of global, domestic, provincial and municipal scales. Overall, the water use efficiency of Qinhuangdao is lower than that of Beijing but higher than China's average. Notice that, Qinhuangdao's local water resources only account for about 39.18% of its final water demand, which cannot fully satisfy its own demands. However, Qinhuangdao as a net embodied water exporting economy, has a total net export volume of 1.52E+08 m3of embodied water. Especially, the secondary industry of Qinhuangdao has a great contribution to the provincial embodied water exports, while the primary industry is more essential in the domestic and foreign embodied water exports. From the global, domestic and provincial perspectives, the multi-scale supply chains of water resources at Qinhuangdao could provide a solid foundation for water allocation balance at different scales, which is necessary for regional water utilization and water saving policies from an embodied perspective.
登录
查看更多内容
影响因子：
15.1
作者：
Xiang Zheng;Di Chen;Qi Wang;Zhenxing Zhang
通讯作者：
Xiang Zheng;Di Chen;Qi Wang;Zhenxing Zhang
影响因子：
6.7
作者：
Xiawei Liao;J. Hall
通讯作者：
Xiawei Liao;J. Hall
影响因子：
7
作者：
Yang Yu;K. Hubacek;K. Feng;D. Guan
通讯作者：
Yang Yu;K. Hubacek;K. Feng;D. Guan
影响因子：
5.4
作者：
M. Lenzen
通讯作者：
M. Lenzen
影响因子：
7
作者：
Zhuoying Zhang;Hong Yang;Minjun Shi
通讯作者：
Zhuoying Zhang;Hong Yang;Minjun Shi