Articles | Volume 376
Proc. IAHS, 376, 51–55, 2018
https://doi.org/10.5194/piahs-376-51-2018
Proc. IAHS, 376, 51–55, 2018
https://doi.org/10.5194/piahs-376-51-2018
 
01 Feb 2018
01 Feb 2018

Forecasting domestic water demand in the Haihe river basin under changing environment

Xiao-Jun Wang et al.

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Cited articles

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A statistical model has been developed for forecasting domestic water demand in Haihe river basin of China due to population growth, technological advances and climate change. Historical records of domestic water use, climate, population and urbanization are used for the development of model. An ensemble of seven general circulation models (GCMs) namely, BCC-CSM1-1, BNU-ESM, CNRM-CM5, GISS-E2-R, MIROC-ESM, PI-ESM-LR, MRI-CGCM3 were used for the projection of climate and the changes in water demand.