Water quality early warning and forecasting system and water quality early warning and forecasting method

Abstract

The invention relates to a water quality early warning and forecasting system and a water quality early warning and forecasting method. The system comprises a monitoring unit, a pollution source tracing module, a hydrological water quality module and an early warning module, wherein the pollution source tracing module is used for generating pollution source data according to monitoring data; the hydrological water quality module is used for generating prediction data according to point pollution source data and / or surface pollution source data in the pollution source data; and the early warning module is used for generating early warning information data according to the prediction data. The method comprises the steps of generating the pollution source data according to the water quality monitoring data and basin riverway grid information data; generating the prediction data according to the pollution source data; and performing early warning and forecasting according to the simulatedprediction data, wherein the pollution source data comprises the point pollution source data and the surface pollution source data. According to the technical scheme, the influence of surface source pollution (such as a situation that an enterprise emits pollution furtively during rainfall) is considered while point source pollution early warning and forecasting are considered, so that the accuracy of simulated forecasting is improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent water management services, and in particular relates to a water quality early warning and forecasting system and a water quality early warning and forecasting method. Background technique [0002] Based on perception systems such as water quality, hydrology, meteorology, gates and dams, pumping stations, sewage plants, sewage treatment stations, video, and voice broadcasting, the smart water platform builds an intelligent monitoring system for the entire basin based on the Internet of Things; With the support of modern information technologies such as knowledge computing and cloud computing, a dynamic integrated service system for smart water affairs covering different business application scenarios is built to realize the organic combination of online monitoring, analysis, early warning and offline governance, restoration and protection, so as to support the digitalization and fine-grained wat...

AI Technical Summary

Problems solved by technology

[0008] The defect of the current water quality early warning and forecasting integrated system is that it generally only focuses on the simulation and early warning and forecasting of point source pollution, that is, the impact of source pollution on the water quality of downstream sections when new discharge points are added or the discharge volume of original discharge points is changed; however, this Situations often cause errors between the simulated situation and the actual situation

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