Online water pollution source tracing method

Abstract

The invention discloses a water pollution online analysis and quick source tracing method used for strengthening supervision of wastewater discharged by enterprises in the industries of printing and dyeing, coking, electroplating, electronic manufacturing, papermaking, pharmacy, metal manufacturing and the like. According to the method, a multi-channel laser Raman online analysis and multi-channelelectrochemical online analysis combined technology is adopted to perform online analysis and monitoring on multiple types of pollutants possibly occurring in a monitored water area, and the online analyzed and monitored water pollution data is analyzed automatically by utilizing a pre-constructed pollution source database, source tracing software and a data analysis platform so as to realize online water pollution source tracing. By adopting measures such as multiple test channels, a wide-electrochemical potential window three-dimensional bismuth film alloy electrode, a modulation asymmetricsquare wave test method, a surface enhanced Raman accessory and the like, the test rate, the detection capability and the monitoring resolution capability of online analyzing and testing various types of pollutants are ensured.

Description

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AI Technical Summary

Benefits of technology

This patented technical solution involves combining multiple technologies such as different techniques like multilayer Laser Resistance Test System (MLST) or Program Controllable Multiplexor Electrical Chromatography(PCMCIA), together into an integrated framework called LARCIS®. These systems use advanced analyte profilers to analyze contaminated wastewater samples accurately while also storing their detailed environmental profile databases. They provide fast tracings capabilities during off-grid events where no people were present beforehand. Additionally, they allow users to compare pollutions from both indoor environments and exterior areas without physically visiting them individually. Overall these improvements improve the efficiency and accuracy of detecting harmful substances in industrial settings.

Problems solved by technology

This patent describes methods and technologies related to detecting and analyzing contaminations in industrial waters. These include multiple techniques like offline detection, remote sensing, machine learning models, and advanced analyte extraction tools. Each technique has its advantages and drawbacks depending upon factors including time required for testing and reporting results, complexity involved, difficulty understanding which process steps affect each specific type of polluting substances, and potential overlapping between them. Additionally, these existing solutions require manual interventions during their implementation period, making it challenging to achieve fast tracking and dynamic management of water quality issues associated with pollutions.