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Analysis of the data in the last six years by applying the gray theory model GM (1,1) revealed the amount of the water resources in Northwest China. On inspection, the relative error rate of the fore-cast results are all less than 0.1. This paper lists the analysis process of gray model, as well as the original data and projections fitting curves equation, which indicate obviously that the model can...
Accurate prediction of water resources demand plays an important role in the system which integrates water resources management promotes and balance efficiency and allocation of water demand. This article introduces the ITHINK software for the forecasting water resources demand. System Dynamics is a brand-new subject on the basis of operation research, system theory, cybernetics, information feedback...
Correct evaluation water resources sustainability of a city is very important for understanding the development potential. The paper applied the concept of social adaptive ability and social index system to evaluation water resources scarcity for 18 districts and counties of Tianjin in 2007. The results showed that districts and counties of Tianjin in 2007 was in an extreme shortage of water resources...
Water demand forecasting is very important in urban water supply management. A large number of researches have been done on water demand forecasting methods. In order to meet the easy operation and high accuracy requirements, a new forecasting method based on fuzzy theory, adaptive neuro-fuzzy inference system (ANFIS), was presented. The parameters of this method are obtained by the original fuzzy...
Forecasting water resources demand is being a component of integrated water resources management promotes and balances efficiency, equity and sustainability objectives for management and allocation of water resources. This article introduces the ITHINK software for the forecasting water resources demand studies. System Dynamics is an analytical study information feedback system, the understanding...
System dynamics (SD) approach for developing zone water demand forecasting was developed based on the analysis of its water resources system which has multi-feedback and nonlinear interactions amongst system elements. As an example, Tianjin Binhai Linkong water resource system dynamic (SD) model was set up according its dual water supply feasibility and necessary and different quality water demand...
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