Selecting a Domestic Water Demand Prediction Model for Climate Change Studies

2011 ◽  
Author(s):  
M. Karamouz ◽  
Z. Zahmatkesh ◽  
S. Nazif
Keyword(s):  
Climate Change ◽  
Prediction Model ◽  
Water Demand ◽  
Domestic Water ◽  
Domestic Water Demand ◽  
Demand Prediction ◽  
Water Demand Prediction

Modeling domestic water demand in Huaihe River Basin of China under climate change and population dynamics

2017 ◽  
Vol 20 (2) ◽  
pp. 911-924 ◽  
Author(s):  
Xiao-Jun Wang ◽  
Jian-Yun Zhang ◽  
Shamsuddin Shahid ◽  
Wei Xie ◽  
Chao-Yang Du ◽  
...  
Keyword(s):  
Climate Change ◽  
Population Dynamics ◽  
River Basin ◽  
Water Demand ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Domestic Water ◽  
Domestic Water Demand

Research on Urban Water Demand Prediction

2012 ◽  
Vol 594-597 ◽  
pp. 2037-2040
Author(s):  
Kun Yang Wan
Keyword(s):  
Prediction Model ◽  
Bp Neural Network ◽  
Water Demand ◽  
Prediction Method ◽  
Urban Water ◽  
Sequence Prediction ◽  
Demand Prediction ◽  
Neural Network Prediction ◽  
Network Prediction ◽  
Water Demand Prediction

Water demand prediction adopts combined prediction method based on BP neural network prediction model, grey G (1,1) prediction model, time sequence prediction model (second multinomial exponential smoothing model) and single linear regression model (Cubics Ratio model). Empirical results show that combined prediction method makes comprehensive use of information of every separate prediction model, and thus enhances prediction accuracy.

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

2018 ◽  
Vol 376 ◽  
pp. 51-55 ◽  
Author(s):  
Xiao-Jun Wang ◽  
Jian-Yun Zhang ◽  
Shamsuddin Shahid ◽  
Yu-Xuan Xie ◽  
Xu Zhang
Keyword(s):  
Climate Change ◽  
Population Growth ◽  
River Basin ◽  
Water Demand ◽  
Haihe River Basin ◽  
Domestic Water ◽  
Haihe River ◽  
Continuous Increase ◽  
Domestic Water Demand ◽  
The Haihe River Basin

Abstract. 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 in the Haihe River basin under Representative Concentration Pathways (RCPs) 4.5. The results showed that domestic water demand in different sub-basins of the Haihe river basin will gradually increase due to continuous increase of population and rise in temperature. It is projected to increase maximum 136.22 × 108 m3 by GCM BNU-ESM and the minimum 107.25 × 108 m3 by CNRM-CM5 in 2030. In spite of uncertainty in projection, it can be remarked that climate change and population growth would cause increase in water demand and consequently, reduce the gap between water supply and demand, which eventually aggravate the condition of existing water stress in the basin. Water demand management should be emphasized for adaptation to ever increasing water demand and mitigation of the impacts of environmental changes.

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