Prediction Method of Hydrogen Sulfide Production in Drainage Pipeline

Abstract

The invention discloses a method for predicting hydrogen sulfide output in a drainage pipeline. The method comprises the following steps: carrying out intensive sampling characteristic analysis on sewage in the drainage pipeline and simultaneously obtaining pipeline parameters of the drainage pipeline; (S2) building a water quality module, a dynamic biological membrane module and a liquid-gas diffusion module on the basis of ASM3 model; (S3) obtaining simulating parameters, input by a user, of a production mode and an initial value of a biological membrane; (S4) running a prediction model to obtain stable biological membrane parameters; (S5) calculating to obtain the concentration of sulfide and a hydrogen sulfide gas in effluent from the tail end of the drainage pipeline after each period of time; (S6) calibrating the prediction model; and (S7) carrying out real-time prediction on the output of hydrogen sulfide in the drainage pipeline by the calibrated prediction model. According to the method, biological dynamic change in the drainage pipeline can be simulated; the output of the hydrogen sulfide can be accurately predicted and obtained; and the method can be widely applied to the field of production prediction of pollution gas.

Description

technical field [0001] The invention relates to the field of prediction of pollution gas generation in water supply and drainage systems, in particular to a method for predicting hydrogen sulfide generation in drainage pipes. Background technique [0002] Glossary: [0003] COD: The full name is Chemical Oxygen Demand, chemical oxygen demand, which is a chemical method to measure the amount of reducing substances that need to be oxidized in water samples; [0004] h 2 S: hydrogen sulfide; [0005] NH 3 : ammonia gas; [0006] CH 4 : methane; [0007] SRB: Sulfate Reducing Bacteria; [0008] ASM: Activated Sludge Models (Activated Sludge Models: ASM1, ASM2, ASM2D and ASM3); [0009] T: temperature; [0010] VFA: volatile organic acids; [0011] DO: dissolved oxygen; [0012] SO 4 2- : Sulfate; [0013] DS: soluble sulfide; [0014] TS: total sulfide; [0015] TCOD: total chemical oxygen demand; [0016] SCOD: dissolved chemical oxygen demand; [0017] VSS: v...

AI Technical Summary

Problems solved by technology

The relevant mathematical models for predicting the amount of hydrogen sulfide produced in sewers currently mainly include the WATS model developed by Aalborg University in Denmark and the SewerX model developed by the University of Queensland in Australia. However, the above models have defects and cannot simulate the dynamic changes of sewer organisms and cannot reflect biofilms. It has an important impact on the generation and conversion of hydrogen sulfide in sewers, so it is inconvenient to use it in the prediction of hydrogen sulfide production and discharge, and it is impossible to accurately predict the emission of hydrogen sulfide

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