Prediction model for microorganism-derived dissolved organic nitrogen in sewage and application of prediction model
A technology of dissolved organic nitrogen and prediction model, which is applied to the adjustment method of biological treatment, water pollutants, biological water/sewage treatment, etc., can solve the problem of not being able to completely distinguish microbial dissolved organic nitrogen, and achieve accurate prediction of dynamics The effect of varying, simplifying the forecasting steps
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0047] The simulated object of this example is a laboratory-level sequencing batch activated sludge reactor, and artificially prepared wastewater (without dissolved organic nitrogen) is used to cultivate activated sludge. The composition of artificial wastewater is: COD 300±30mg / L, total nitrogen 20±5mg / L, total phosphorus 3.5±0.5mg / L. The effective volume of the reactor is 2L, the reactor operating cycle is 6h, the hydraulic retention time is 12h, and the sludge age is 20d; at 25°C, the operating mode is: 2min water inflow, 300min mixing and aeration, 50min settlement and 8min drain. The reactor sludge concentration is 2000±200mg / L, and the pH is 7.5±0.5. The realization process of the prediction of microbial dissolved organic nitrogen in the reactor is as follows: a prediction model and application of microbial dissolved organic nitrogen in sewage, including the following steps:
[0048] 1. Establish ASM-mDON prediction model:
[0049] Set the symbols of the relevant vari...
Embodiment 2
[0065]1. The difference from Example 1 is that the sewage water source is the influent of municipal sewage treatment plant A. When sampling, the inlet water temperature was 15°C, the hydraulic retention time of the biological section was 8 hours, and the sludge age was 5 days. Its influent water contains COD 96.2-120.6mg / L, total nitrogen 23.7-29.1mg / L, total phosphorus 2.0-3.5mg / L, pH 7.4-8.0, and suspended solids 3000-3200mg / L. The influent (greater than 100mL) and activated sludge (greater than 50mL) of the biological stage (oxidation ditch treatment process) were taken for component determination and parameter estimation. Filter the sewage sample with a cellulose acetate filter membrane with a pore size of 0.45 μm; measure the COD concentration in the filtered water sample with potassium dichromate; use potassium persulfate oxidation-ion chromatography, salicylic acid-hypochlorite spectrophotometry, respectively method, ion chromatography, and ion chromatography to determ...
Embodiment 3
[0069] This embodiment adopts the same simulation object as that of Embodiment 2, that is, the sewage water source is the influent of municipal sewage treatment plant A. The difference from Example 2 is that the sewage water source is the influent of Nanjing municipal sewage treatment plant A at different sampling times. The inlet water temperature is 20°C, the hydraulic retention time of the biological stage is 8h, and the sludge age is 5d. Its influent water contains COD 96.2-120.6mg / L, total nitrogen 23.7-29.1mg / L, total phosphorus 2.0-3.5mg / L, pH 7.4-8.0, and suspended solids 3000-3200mg / L. The influent (greater than 100mL) and activated sludge (greater than 50mL) of the biological stage (oxidation ditch treatment process) were taken for component determination and parameter estimation. Filter the sewage sample with a cellulose acetate filter membrane with a pore size of 0.45 μm; measure the COD concentration in the filtered water sample with potassium dichromate; use pot...
PUM
| Property | Measurement | Unit |
|---|---|---|
| Aperture | aaaaa | aaaaa |
Abstract
Description
Claims
Application Information
Login to View More