000057771 001__ 57771
000057771 005__ 20200221144318.0
000057771 0247_ $$2doi$$a10.1002/2016WR018595
000057771 0248_ $$2sideral$$a97135
000057771 037__ $$aART-2016-97135
000057771 041__ $$aeng
000057771 100__ $$aZhao, X.
000057771 245__ $$aBurden shifting of water quantity and quality stress from megacity Shanghai
000057771 260__ $$c2016
000057771 5060_ $$aAccess copy available to the general public$$fUnrestricted
000057771 5203_ $$aMuch attention has been paid to burden shifting of CO2 emissions from developed regions to developing regions through trade. However, less discussed is that trade also acts as a mechanism enabling wealthy consumers to shift water quantity and quality stress to their trading partners. In this study, we investigate how Shanghai, the largest megacity in China, draws water resources from all over China and outsources its pollution through virtual quantity and quality water flows associated with trade. The results show that Shanghai''s consumption of goods and services in 2007 led to 11.6 billion m3 of freshwater consumption, 796 thousand tons of COD, and 16.2 thousand tons of NH3-N in discharged wastewater. Of this, 79% of freshwater consumption, 82.9% of COD and 82.5% of NH3-N occurred in other Chinese Provinces which provide goods and services to Shanghai. Thirteen Provinces with severe and extreme water quantity stress accounted for 60% of net virtual water import to Shanghai, while 19 Provinces experiencing water quality stress endured 79% of net COD outsourcing and 75.5% of net NH3-N outsourcing from Shanghai. In accordance with the three “redlines” recently put forward by the Chinese central government to control water pollution and cap total water use in all provinces, we suggest that Shanghai should share its responsibility for reducing water quantity and quality stress in its trading partners through taking measures at provincial, industrial, and consumer levels. In the meantime, Shanghai needs to enhance demand side management by promoting low water intensity consumption.
000057771 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000057771 590__ $$a4.397$$b2016
000057771 591__ $$aENVIRONMENTAL SCIENCES$$b28 / 229 = 0.122$$c2016$$dQ1$$eT1
000057771 591__ $$aWATER RESOURCES$$b4 / 88 = 0.045$$c2016$$dQ1$$eT1
000057771 591__ $$aLIMNOLOGY$$b1 / 20 = 0.05$$c2016$$dQ1$$eT1
000057771 592__ $$a2.615$$b2016
000057771 593__ $$aWater Science and Technology$$c2016$$dQ1
000057771 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000057771 700__ $$aLiu, J.
000057771 700__ $$aYang, H.
000057771 700__ $$0(orcid)0000-0003-3113-1698$$aDuarte, R.$$uUniversidad de Zaragoza
000057771 700__ $$aTillotson, M.R.
000057771 700__ $$aHubacek, K.
000057771 7102_ $$14000$$2415$$aUniversidad de Zaragoza$$bDpto. Análisis Económico$$cÁrea Fund. Análisis Económico
000057771 773__ $$g52, 9 (2016), 6916-6927$$pWater resour. res.$$tWATER RESOURCES RESEARCH$$x0043-1397
000057771 8564_ $$s966947$$uhttps://zaguan.unizar.es/record/57771/files/texto_completo.pdf$$yVersión publicada
000057771 8564_ $$s123267$$uhttps://zaguan.unizar.es/record/57771/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000057771 909CO $$ooai:zaguan.unizar.es:57771$$particulos$$pdriver
000057771 951__ $$a2020-02-21-13:40:00
000057771 980__ $$aARTICLE