Urban water supply dynamic prediction, early warning and analysis method

Abstract

An urban water supply dynamic prediction, early warning and analysis method is characterized by comprising the following steps of: S10, constructing supply and demand early warning models between a plurality of reservoirs and a plurality of water supply plants according to the water supply scale, the water supply reservoirs, the water supply rules and the water diversion rule information of each water supply plant; S20: according to the real-time water storage of each reservoir, calculating the water storage of the plurality of reservoirs day by day in a rolling manner by combining the water inflow, the water diversion quantity, the water abandoning quantity, the water supply quantity of the water plant and the ecological water consumption of the reservoirs; S30, outputting the predicted water supply days of the reservoir / water plant according to the supply and demand early warning model, and performing early warning; and S40, outputting the reservoir water storage capacity of the reservoir in the future time according to the supply and demand early warning model. In the application, a traditional reservoir-water plant single-line analysis mode is changed, N-N relation network construction is performed on all water sources (reservoirs and rivers), diversion projects and water supply plants in a certain area, and full-network bidirectional linkage analysis of water resource supply and demand early warning is realized.

Description

technical field [0001] The invention belongs to the field of urban water supply, and in particular relates to a method for dynamic prediction, early warning and analysis of urban water supply. Background technique [0002] Since October last year, the precipitation in the south of the Yangtze River, most of South China, and southwestern my country has been significantly less than that of the same period in normal years. In some areas, the precipitation has been more than 60% lower than in the same period of normal years. The water level of small and medium-sized reservoirs in some areas is close to or lower than the dead water level. In some cities, counties and towns, there is a shortage of water supply. In the face of drought, lack of rain, and insufficient water supply, accurate analysis of the current water supply situation and prediction of future sustainable water supply capacity can effectively support urban network water supply deployment and cross-regional water dive...

AI Technical Summary

Problems solved by technology

[0003] In the traditional urban water supply prediction and analysis method, the reservoir-water plant single-line model is basically adopted. The analysis method is single and the prediction function is weak. It is difficult to adapt to the complex model of multiple reservoirs and multiple water plants in the current big cities.

In addition, the models and methods in the prior art do not have dynamic detection functions, and there are few analysis modules, so there is a large error between the analysis results and the actual situation, and it is difficult to adapt to long-term predictions

[0004] Moreover, in the existing urban water supply forecast analysis and early warning methods, the water supply rules and water diversion rules are single, lack flexibility, and lack a water distribution consultation platform, making dynamic adjustment and dynamic analysis difficult, and cannot adapt to the current increasingly complex urban water supply management needs

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