Forecast Of Urban Domestic Water Demand Under The Concept Of Water Conservation Priority

China has a large population and water resources are relatively scarce.China proposed the implementation of national water conservation actions and advocated the establishment of a water-saving society,in urban life,the key to creating a water-saving society lies in urban industrial and domestic water-saving links.In recent years,with the accelerated urbanization process,the demand for water resources in cities has been increasing,and the ensuing water shortage problem has become increasingly prominent.Water conservation has become an inevitable choice for urban water management,and urban water conservation measures include industrial,agricultural,public facilities and domestic water conservation aspects.Domestic water conservation accounts for a large proportion of urban water consumption.Under the concept of prioritizing water conservation,the development of water conservation programs can put forward requirements and measures from a macro perspective,and compress water demand in all aspects of life through technical and policy means under the current economic and technical conditions.Different water conservation measures obtain different expected results,and water conservation measures measures also become an influential factor in the reasonable prediction of urban water demand.Predicting urban domestic water demand is an important guideline for the formulation of macroeconomic development planning,water resources planning,rational allocation of water resources,urban spatial layout and other macro policies,providing an important guarantee for the sustainable development of urban economy.On the basis of analyzing the influencing factors of urban domestic water demand and water saving measures under the concept of water saving priority,the influencing factors are screened by using Correlation analysis method to find out the factors with high correlation with urban domestic water demand,and these factors are tested for independence.On the basis of analyzing and collecting sample data of influencing factors and water consumption for many years,a BP artificial neural network model is established to study the correlation between influencing factors and urban domestic water demand.Establish a univariate linear regression model to predict domestic water demand;The prediction accuracy is improved through the combination prediction method.The study analyzed the effect of domestic water demand prediction and the effect of water saving measures.The research has enriched the method of urban domestic water demand prediction to a certain extent,and has a certain reference value for the development of urban domestic water conservation programs.