Surface water quality monitoring result characterization method and surface water quality monitoring result characterization system

Abstract

The invention discloses a surface water quality monitoring result characterization method and a surface water quality monitoring result characterization system. The surface water quality monitoring result characterization system comprises a data platform and a server; the data platform is used for receiving a data acquisition instruction of the server and sending section basic information to the server; the server is used for sending a data obtaining instruction to obtain section basic information and processing the section basic information to obtain spatial data, and the spatial data comprises area bottom surface data, river surface data, lake and reservoir surface data, lake and reservoir label data, river label data and administrative division label data; and a water quality characterization result map is generated by using the spatial data and the water quality evaluation result data, wherein the water quality characterization result map comprises a river label, a lake and reservoir label, an administrative division label, rendered river surface data, rendered lake and reservoir surface data and regional bottom surface data from top to bottom. The invention has the technical effects that water quality rendering is performed on the spatial data, and the overall water quality condition of the river/lake and reservoir with the section is reflected.

Description

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AI Technical Summary

Benefits of technology

The invention provides an improved method for measuring and controlling the amount of pollution caused by rivers/lakes on land during construction projects such as dams. By analyzing this data from space, we can predict how well these waters are being affected with each other over time.

Problems solved by technology

This patented technology allows for visual identification of different levels of pollution caused by various factors such as sedimentation from rainwater runoff during construction work hours, excessive use of fertilizers due to environmental concerns like phosphorus contamination, overuse of pesticides used at certain times throughout their lifespan, etc., which may affect fish populations living near these areas. Additionally, existing methods require manual input and have limitations with regard to identifying specific types of pollutants within each section of the stream's boundary layer.

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