CN112010427A - Construction method and application of two-step decay model of nitrite oxidizing bacteria - Google Patents
Construction method and application of two-step decay model of nitrite oxidizing bacteria Download PDFInfo
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- IOVCWXUNBOPUCH-UHFFFAOYSA-M Nitrite anion Chemical compound [O-]N=O IOVCWXUNBOPUCH-UHFFFAOYSA-M 0.000 title claims abstract description 91
- 241000894006 Bacteria Species 0.000 title claims abstract description 31
- 230000001590 oxidative effect Effects 0.000 title claims abstract description 17
- 238000010276 construction Methods 0.000 title abstract description 5
- 238000000034 method Methods 0.000 claims abstract description 21
- 230000000694 effects Effects 0.000 claims abstract description 19
- 230000005764 inhibitory process Effects 0.000 claims abstract description 11
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- 230000015556 catabolic process Effects 0.000 claims description 17
- 238000006731 degradation reaction Methods 0.000 claims description 17
- 231100000419 toxicity Toxicity 0.000 claims description 10
- 230000001988 toxicity Effects 0.000 claims description 10
- 239000010865 sewage Substances 0.000 claims description 7
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 6
- IOVCWXUNBOPUCH-UHFFFAOYSA-N Nitrous acid Chemical compound ON=O IOVCWXUNBOPUCH-UHFFFAOYSA-N 0.000 claims description 6
- 230000009036 growth inhibition Effects 0.000 claims description 3
- 229910052757 nitrogen Inorganic materials 0.000 claims description 3
- 231100000331 toxic Toxicity 0.000 claims description 3
- 230000002588 toxic effect Effects 0.000 claims description 3
- 238000004065 wastewater treatment Methods 0.000 claims 1
- 239000010802 sludge Substances 0.000 abstract description 27
- 230000008569 process Effects 0.000 abstract description 12
- 238000013178 mathematical model Methods 0.000 abstract description 8
- 230000006907 apoptotic process Effects 0.000 abstract description 7
- 230000007423 decrease Effects 0.000 abstract description 5
- 230000001580 bacterial effect Effects 0.000 abstract description 4
- 230000004913 activation Effects 0.000 abstract description 3
- 244000005700 microbiome Species 0.000 abstract description 3
- 238000011084 recovery Methods 0.000 abstract description 3
- 230000003647 oxidation Effects 0.000 abstract description 2
- 238000007254 oxidation reaction Methods 0.000 abstract description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 15
- 239000001301 oxygen Substances 0.000 description 15
- 229910052760 oxygen Inorganic materials 0.000 description 15
- 238000004088 simulation Methods 0.000 description 8
- 239000002351 wastewater Substances 0.000 description 8
- 239000007836 KH2PO4 Substances 0.000 description 6
- 229910000402 monopotassium phosphate Inorganic materials 0.000 description 6
- GNSKLFRGEWLPPA-UHFFFAOYSA-M potassium dihydrogen phosphate Chemical compound [K+].OP(O)([O-])=O GNSKLFRGEWLPPA-UHFFFAOYSA-M 0.000 description 6
- 239000011734 sodium Substances 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 239000007789 gas Substances 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 4
- 238000005119 centrifugation Methods 0.000 description 4
- LPXPTNMVRIOKMN-UHFFFAOYSA-M sodium nitrite Chemical compound [Na+].[O-]N=O LPXPTNMVRIOKMN-UHFFFAOYSA-M 0.000 description 4
- 229910002651 NO3 Inorganic materials 0.000 description 3
- NHNBFGGVMKEFGY-UHFFFAOYSA-N Nitrate Chemical compound [O-][N+]([O-])=O NHNBFGGVMKEFGY-UHFFFAOYSA-N 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 230000036284 oxygen consumption Effects 0.000 description 3
- 239000000523 sample Substances 0.000 description 3
- 238000012163 sequencing technique Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 239000012535 impurity Substances 0.000 description 2
- 239000011780 sodium chloride Substances 0.000 description 2
- 235000010288 sodium nitrite Nutrition 0.000 description 2
- 241000894007 species Species 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- 101100436077 Caenorhabditis elegans asm-1 gene Proteins 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 101100204282 Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) Asm-1 gene Proteins 0.000 description 1
- 241001453382 Nitrosomonadales Species 0.000 description 1
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 238000012258 culturing Methods 0.000 description 1
- 230000034994 death Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000001546 nitrifying effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000010186 staining Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/30—Aerobic and anaerobic processes
- C02F3/302—Nitrification and denitrification treatment
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- C02F2101/00—Nature of the contaminant
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Abstract
The invention relates to a construction method and application of a two-step decay model of nitrite oxidation bacteria, and solves the problem that the traditional bacterial decay model is only suitable for the primary stage (live cells → dead cells) of an NOB decay stage and cannot evaluate the conversion of the dead cells into soluble COD. The invention scientifically simulates the NOB apoptosis process under high-concentration nitrite, establishes a two-step apoptosis model (living cells → dead cells → soluble COD), and determines the model parameters of NOB apoptosis under nitrite inhibition. The invention establishes a two-step decline mathematical model of nitrite oxidizing bacteria for the first time, and the model can ensure the denitrification effect of short-cut nitrification and denitrification by controlling the concentration of nitrite. Improving the sludge treatment effect. Also provides technical support for further understanding the phenomena of microorganism inhibition and activation recovery.
Description
Technical Field
The invention belongs to the field of sewage treatment, relates to a construction method and application of a two-step decay model of nitrite oxidizing bacteria, and particularly relates to a two-step decay model of nitrite oxidizing bacteria under the inhibition of high nitrite concentration.
Background
The conventional biological denitrification process is a process in which ammonia nitrogen generates Nitrite under the action of ammonia oxidizing Bacteria, then the Nitrite is oxidized into nitrate by Nitrite-oxidizing Bacteria (NOB), and finally the nitrate generates nitrogen under the action of denitrifying Bacteria. The short-cut nitrification and denitrification process is to control the generation of nitrite so that denitrifying bacteria can directly complete the denitrification process by taking the nitrite as an electron acceptor. Compared with the traditional biological denitrification process, the method has the obvious advantages of less oxygen demand in the nitrification stage and less carbon source consumption in the denitrification stage. How to inhibit the generation of nitrate is a key factor for ensuring the efficiency of short-cut nitrification and denitrification. The nitrite concentration with high concentration can inhibit nitrite oxidizing bacteria and can be used as a control condition for developing short-cut nitrification and denitrification, so that the activity of Nitrite Oxidizing Bacteria (NOB) with high concentration is evaluated to be beneficial to the control of short-cut nitrification and denitrification. However, the traditional bacterial apoptosis model is only suitable for the primary stage (live cells → dead cells) of the nitrite oxidation bacterial apoptosis stage, and the conversion of the dead cells into soluble COD cannot be evaluated.
Therefore, in order to evaluate the NOB activity under high-concentration nitrite and improve the control effect on short-cut nitrification and denitrification, a new nitrite oxidizing bacteria decay model is urgently needed. The present invention is based on the premise that no model of this type is currently available in the art.
Disclosure of Invention
The invention mainly aims to scientifically simulate the decay process of Nitrite Oxidizing Bacteria (NOB) under high-concentration nitrite and establish a two-step decay model (living cells → dead cells → soluble COD). According to the invention, by measuring model parameters of NOB decay under the inhibition of nitrite, a complete two-step decay mathematical model is established, so that the shortcut nitrification and denitrification nitrogen removal effect can be ensured by controlling the concentration of nitrite.
In order to achieve the purpose, the invention adopts the technical scheme that: a method for constructing a two-step decline model of nitrite oxidizing bacteria comprises the following steps:
(1) the net specific growth rate of the simulated nitrous acid oxidizing bacteria was calculated and obtained using eq.1:
r=u-btot (Eq.1)
wherein, r: net specific rate of NOB increase (d)-1) Specific growth rate of u, NOB (d)-1),btot: total NOB specific decay Rate (d)-1)。
(2) Considering the inhibition of NOB by nitrite at high concentrations, the results were obtained using Eq.2:
wherein,maximum specific growth rate (d) of NOB-1),Nitrite concentration (mg-N/L),the half saturation factor (mg-N/L) for NOB growth,half saturation factor (mg-N/L) for NOB growth inhibition.
(3) Simulating and calculating the total ratio decay rate of NOB, introducing the toxicity influence of nitrite, wherein the toxicity of the nitrite is expressed by an S-type formula with power n being more than 1; obtained using eq.3:
wherein, b is NOB intrinsic specific decay Rate (d)-1),NOB nitrite toxic decay Rate (d)-1),Half-saturation factor (mg-N/L) for NOB nitrite toxicity decay, N: the power of nitrite concentration.
(4) Simulating the conversion of dead NOB to soluble COD, the total specific degradation of NOB was introduced and obtained using Eq.4:
wherein: bl,tot: NOB Total specific degradation Rate (d)-1),bl: NOB intrinsic specific degradation rate (d)-1),NOB nitrite inhibited degradation rate (d)-1),NOB nitrite inhibited degradation half saturation factor (mg-N/L), m: the power of nitrite concentration.
(5) Modeling
TABLE 1 two-step decay model of nitrite-oxidizing bacteria
The two-step decay model can be used for sewage treatment, and the sewage treatment effect is improved. Furthermore, GPS-X software is used for simulating aerobic rate OUR and COD of nitrifying bacteria of the activated sludge based on the two-step decay model, the shortcut nitrification and denitrification effect is ensured by controlling the concentration of nitrite, and the sewage treatment effect is improved.
The invention provides a NOB intensified decay and death (X) for the first time based on an IWA activated sludge model NO.1(ASM1) commonly used in the fieldB,L→XB,D) And enhanced degradation (X)B,D→SB) The two-step decay model of (1). The invention scientifically simulates the NOB decay process under high-concentration nitrite, establishes a two-step decay model (living cells → dead cells → soluble COD), determines the model parameters of NOB decay under the inhibition of nitrite, and perfects the two-step decay mathematical model, thereby realizing the purpose of ensuring the denitrification effect by short-cut nitrification by controlling the concentration of nitrite. The invention provides important support for further understanding the phenomena of microorganism inhibition and activation recovery while establishing and perfecting a two-step decline mathematical model.
Compared with the prior art, the invention has the following advantages:
(1) the invention uses a mathematical model method to determine the influence of nitrite on NOB, and establishes a two-step apoptosis model (live cells → dead cells → soluble COD) for the first time. Compared with a mathematical model which cannot evaluate the conversion of dead cells into soluble COD by the traditional method, the model of the invention is obviously more perfect, precise and accurate.
(2) In the establishing process of the model, the nitrite concentration factor parameter of the NOB is determined, and the toxicity influence of the nitrite is introduced in the simulation calculation of the total NOB ratio decay rate for the first time. And in the second stage, the invention introduces the total specific degradation rate of NOB in order to simulate the conversion process of dead NOB into soluble COD. The invention integrates the influencing factors of all aspects and realizes the purpose of perfecting and enriching the NOB mathematical model in the field.
(3) The NOB two-step apoptosis model established by the invention solves the problem that the existing model in the field can not evaluate the conversion of dead cells into soluble COD. The model of the invention can be used for seeking an optimized environmental condition, thereby promoting the formation of the short-cut nitrification and denitrification by controlling the activity of NOB and finally improving the sewage treatment effect.
(4) The determination method is simple and easy to operate, has high repeatability, is convenient to popularize and use, and can promote the development and innovation of mathematical model methods in the field of sewage treatment. Also provides important support for further understanding the phenomena of microorganism inhibition and activation recovery.
Drawings
FIG. 1 is a schematic diagram of an OUR experimental apparatus of the present invention; in fig. 1: 1. a water bath magnetic stirrer; 2. a magnetic rotor; 3. BOD bottle; 4. a Dissolved Oxygen (DO) measurement probe; 5. dissolved Oxygen (DO) meter.
FIG. 2 is a graph of the simulation of OUR and COD of nitrite-oxidized bacteria NOB in example 2 using the two-step decay model of the present invention at a nitrite concentration of 50 mg-N/L.
FIG. 3 is a graph of the simulation of OUR and COD of nitrite-oxidized bacteria NOB in example 3 using the two-step decay model of the present invention at a nitrous acid concentration of 2000 mg-N/L.
Detailed Description
The invention is further described with reference to the following figures and specific embodiments. In the present invention, reagents used are those conventional in the art, and methods used are those conventional in the art, unless otherwise specified.
Example 1 construction of two-step decay model of nitrite-oxidizing bacteria of the present invention
1. With NaNO-containing gas2(500mg-N/L)、NH4CI(1.0mg-N/L)、KH2PO4(0.13mg-P/L) and Na2PO4(1.67-P/L) synthetic wastewater enriched with sludge (NOB) in a 5-L Sequencing Batch Reactor (SBR)The purpose of enrichment is to eliminate interference from other species). The pH, temperature and DO of the reactor were controlled at 7.3, 35 + -0.5 deg.C and above 5mg/L, respectively. The SRT of the SBR reactor was maintained for 50 days, and after 240 days of culture, experiments were carried out using concentrated NOB sludge.
2. NH for concentrated NOB sludge4CI(1.0mg-N/L)、KH2PO4(0.13mg-P/L) and Na2The synthetic wastewater of PO4(1.67-P/L) was centrifuged three times (5000rpm) for three minutes each. Before NOB sludge culture, three centrifugal washes of sludge samples were performed using inorganic synthetic wastewater without nitrite to ensure that the samples were nitrite free. Obtaining NOB concentrated sludge without nitrite for later use.
3. NOB-enriched sludge containing no nitrite was used for breath test, NOB culture was carried out under experimental conditions in which nitrite concentration was maintained at 0mg-N/L, 50mg-N/L, 500mg-N/L, 2000mg-N/L, and cultured in a constant temperature incubator at 35 + -0.2 ℃ for 7 days while dissolved oxygen in the culture vessel was maintained at 6mg-O2More than/L.
4. And (3) distinguishing the change of the number of live bacteria and dead bacteria in the culture boxes with different nitrite concentrations by using bacterial staining, and solving model parameters according to the measured data. See table 2 below:
TABLE 2 kinetic and stoichiometric parameters of NOB
5. Establishing a model equation of two-step decay of nitrite oxidizing bacteria NOB:
(1) the net specific growth rate of the simulated nitrous acid oxidizing bacteria was calculated and obtained using eq.1:
r=u-btot (Eq.1)
wherein, r: net specific rate of NOB increase (d)-1) Specific growth rate of u, NOB (d)-1),btot: total NOB specific decay Rate (d)-1);
(2) Considering the inhibition of NOB by nitrite at high concentrations, the results were obtained using Eq.2:
wherein,maximum specific growth rate (d) of NOB-1),Nitrite concentration (mg-N/L),the half saturation factor (mg-N/L) for NOB growth,the half saturation factor (mg-N/L) for NOB growth inhibition;
(3) introducing the toxicity influence of nitrite in the simulation calculation of the NOB total ratio decay rate, wherein the toxicity of the nitrite is expressed by an S-type formula with power n being more than 1; obtained using eq.3:
wherein, b is NOB intrinsic specific decay Rate (d)-1),NOB nitrite toxic decay Rate (d)-1),Half-saturation factor (mg-N/L) for NOB nitrite toxicity decay, N: the power of nitrite concentration.
(4) To simulate the process of conversion of dead NOB to soluble COD, the overall specific degradation rate of NOB was introduced and obtained using Eq.4:
wherein: bl,tot: NOB Total specific degradation Rate (d)-1),bl: NOB intrinsic specific degradation rate (d)-1),NOB nitrite inhibited degradation rate (d)-1),NOB nitrite inhibited degradation half saturation factor (mg-N/L), m: the power of nitrite concentration.
(5) Modeled in Table 1 below
TABLE 1 two-step decay model of nitrite-oxidizing bacteria
Example 2 OUR and COD of NOB were measured and simulated using the model equations set forth in example 1 with a nitrous acid concentration of 50 mg-N/L.
(1) With NaNO-containing gas2(500mg-N/L)、NH4CI(1.0mg-N/L)、KH2PO4(0.13mg-P/L) and Na2PO4(1.67-P/L) synthetic wastewater sludge was enriched in a 5-L Sequencing Batch Reactor (SBR) (NOB enrichment was aimed at eliminating interference from other species). The pH, temperature and DO of the reactor were controlled at 7.3, 35 + -0.5 deg.C and above 5mg/L, respectively. The SRT of the SBR reactor was maintained for 50 days, and after 240 days of culture, experiments were carried out using concentrated NOB sludge.
(2) NH for concentrated NOB sludge4CI(1.0mg-N/L)、KH2PO4(0.13mg-P/L) and Na2PO4The synthetic wastewater (1.67-P/L) was washed three times (5000rpm) by centrifugation for three minutes each. Before NOB sludge culture, three centrifugal washes of sludge samples were performed using inorganic synthetic wastewater without nitrite to ensure that the samples were nitrite free.
(3) Use of nitrite-free NOB enriched sludge forBreath test, NOB culture under the experimental condition that nitrite concentration is kept at 50mg-N/L, culturing at 35 + -0.2 deg.C for 7 days in a constant temperature incubator while dissolved oxygen in the culture vessel is required to be kept at 6mg-O2More than/L.
(4) In order to maintain the nitrite concentration during the test, a computer programmed syringe pump was installed to continuously feed a high concentration sodium nitrite solution (20000mg-N/L) into the culture vessel to control the nitrite concentration to within + -5% of the target.
(5) The activated sludge in the culture tanks was sampled manually at intervals of 6 to 8 hours, and placed in 100mL BOD bottles after adjusting the nitrite concentration to the same predetermined concentration for each culture tank. Using O2The gas sets the initial dissolved oxygen concentration of the sample to be in excess of 10mg-O2L, and the consumption of dissolved oxygen in the BOD bottle was recorded every 1 minute using a portable dissolved oxygen meter. OUR of each culture vessel was obtained from the decrease in the dissolved oxygen concentration with time. The concentration of dissolved oxygen is taken as a vertical axis, time is taken as a horizontal axis to be plotted, and the coefficient R is determined by the plotted straight line2And the slope of the straight line is more than or equal to 99, and the oxygen consumption rate of the NOB is obtained.
(6) 5ml of NOB sludge was taken out from the culture tank and washed 3 times by centrifugation (10000rpm, three minutes of washing) with 0.85% NaCl solution to remove the interference of impurities.
(7) COD of the NOB sludge washed in the culture tank was measured using a COD analysis kit (TNT Plus 821(COD range 3-150 ppm, U.S. Hash).
(8) A scatter diagram of nitrite concentration, NOB oxygen consumption rate (OUR) and sludge COD is made, the scatter diagram is fitted by using GPS-X software based on the two-step decay model equation of the invention, measured data and simulation data are respectively shown in tables 3 and 4, and experimental results and fitting effects are shown in figure 2.
TABLE 3
t | 50mg-N/L | t | 50mg-N/L |
OUR | COD | ||
d | Measured value | d | Measured value |
0.034722222 | 4.23 | 0.010416667 | 74.29447853 |
0.25 | 5.71956 | 0.96875 | 78.52760736 |
0.415277778 | 5.46 | 1.948611111 | 79.95008841 |
0.96875 | 5.54046 | 2.943055556 | 82.68033429 |
1.208333333 | 6.4506 | 3.932638889 | 85.27607362 |
1.44375 | 5.69322 | 4.929861111 | 92.02453988 |
1.975 | 5.6592 | 5.932638889 | 97.98347717 |
2.208333333 | 5.7528 | 6.936111111 | 104.2944785 |
2.460416667 | 5.811 | 7.93125 | 117.8064389 |
2.919444444 | 5.50668 | ||
3.20625 | 6.5637 | ||
3.413888889 | 6.1425 | ||
3.943055556 | 6.75 | ||
4.2125 | 6.87 | ||
4.414583333 | 7.68 | ||
4.934722222 | 8.9 | ||
5.202083333 | 8.52 | ||
5.427777778 | 7.25724 | ||
5.944444444 | 8.814 | ||
6.207638889 | 9.4776 | ||
6.413888889 | 9.3636 | ||
6.941666667 | 10.8739726 | ||
7.211805556 | 10.67664 | ||
7.475694444 | 12.08064 | ||
8.099305556 | 11.8734 |
TABLE 4
Example 3 OUR and COD of NOB were detected and simulated using the model equations set forth in example 1 with a nitrous acid concentration of 2000 mg-N/L.
(1) With NaNO-containing gas2(500mg-N/L)、NH4CI(1.0mg-N/L)、KH2PO4(0.13mg-P/L) and Na2PO4(1.67-P/L) of the synthetic wastewater was enriched with sludge in a 5-L Sequencing Batch Reactor (SBR). The pH, temperature and DO of the reactor were controlled at 7.3, 35 + -0.5 deg.C and above 5mg/L, respectively. The SRT of the SBR reactor was maintained for 50 days, and after 240 days of culture, experiments were carried out using concentrated NOB sludge.
(2) For concentrated NOB sludgeNH4CI(1.0mg-N/L)、KH2PO4(0.13mg-P/L) and Na2PO4The synthetic wastewater (1.67-P/L) was washed three times (5000rpm) by centrifugation for three minutes each.
(3) NOB-enriched sludge containing no nitrite was used for breath test, NOB culture was carried out under the experimental conditions that the nitrite concentration was maintained at 2000mg-N/L, and cultured in a constant temperature incubator at 35 + -0.2 ℃ for 7 days while the dissolved oxygen in the culture vessel was maintained at 6mg-O2More than/L.
(4) In order to maintain the nitrite concentration during the test, a computer programmed syringe pump was installed to continuously feed a high concentration sodium nitrite solution (20000mg-N/L) into the culture vessel to control the nitrite concentration to within + -5% of the target.
(5) The activated sludge in the culture tanks was sampled manually at intervals of 6 to 8 hours, and placed in 100mL BOD bottles after adjusting the nitrite concentration to the same predetermined concentration for each culture tank. Using O2The gas sets the initial dissolved oxygen concentration of the sample to be in excess of 10mg-O2L, and the consumption of dissolved oxygen in the BOD bottle was recorded every 1 minute using a portable dissolved oxygen meter. OUR of each culture vessel was obtained from the decrease in the dissolved oxygen concentration with time.
(6) 5ml of NOB sludge was taken out from the culture tank and washed 3 times by centrifugation (10000rpm, three minutes of washing) with 0.85% NaCl solution to remove the interference of impurities.
(7) COD of the NOB sludge washed in the culture tank was measured using a COD analysis kit (TNT Plus 821(COD range 3-150 ppm, U.S. Hash).
(8) A scatter diagram of nitrite concentration, NOB oxygen consumption rate (OUR) and NOB sludge COD is made, the scatter diagram is fitted by using GPS-X software based on the two-step decay model equation, experimental data are shown in tables 5 and 6, and experimental results and fitting effects are shown in figure 3.
TABLE 5
TABLE 6
t | 50mg-N/L | 50mg-N/L |
OUR | COD | |
d | Simulation of | Simulation of |
0 | 4.351442 | 74 |
0.25 | 5.455606 | 74.70636 |
0.5 | 5.604481 | 75.47575 |
0.750001 | 5.729357 | 76.29351 |
1.000001 | 5.848524 | 77.14692 |
1.250001 | 5.966282 | 78.02398 |
1.500001 | 6.084471 | 78.91807 |
1.750001 | 6.203997 | 79.82719 |
2.000002 | 6.3253 | 80.75166 |
2.250002 | 6.448603 | 81.69247 |
2.500002 | 6.574032 | 82.6506 |
2.750002 | 6.701681 | 83.62686 |
3.000002 | 6.831623 | 84.62195 |
3.250003 | 6.963927 | 85.63643 |
3.500003 | 7.098653 | 86.67084 |
3.750003 | 7.235861 | 87.72568 |
4.000003 | 7.375605 | 88.80142 |
4.250003 | 7.517942 | 89.89853 |
4.500004 | 7.662924 | 91.01748 |
4.750004 | 7.810604 | 92.15872 |
5.000004 | 7.961036 | 93.32271 |
5.250004 | 8.114273 | 94.50991 |
5.500004 | 8.270367 | 95.72079 |
5.750005 | 8.429372 | 96.95581 |
6.000005 | 8.591342 | 98.21544 |
6.250005 | 8.756331 | 99.50016 |
6.500005 | 8.924395 | 100.8104 |
6.750005 | 9.095589 | 102.1468 |
6.958339 | 9.240683 | 103.2807 |
The data and simulations obtained in examples 2 and 3 above fully demonstrate the validity of the two-step decay model of nitrite-oxidizing bacteria of the present invention. Therefore, the nitrite concentration required for inhibiting the activity of NOB can be calculated through a two-step decay model, and the control of the short-cut nitrification and denitrification process is realized. Namely, the invention realizes that the short-cut nitrification and denitrification effect is ensured by controlling the concentration of the nitrite.
Claims (4)
1. A method for constructing a two-step decay model of nitrite oxidizing bacteria is characterized by comprising the following steps of:
(1) the net specific growth rate of the simulated nitrous acid oxidizing bacteria was calculated and obtained using eq.1:
r=u-btot (Eq.1)
wherein, r: net specific rate of NOB increase (d)-1) Specific growth rate of u, NOB (d)-1),btot: total NOB specific decay Rate (d)-1);
(2) Considering the inhibition of NOB by nitrite at high concentrations, the results were obtained using Eq.2:
wherein,maximum specific growth rate (d) of NOB-1),Nitrite concentration (mg-N/L),the half saturation factor (mg-N/L) for NOB growth,the half saturation factor (mg-N/L) for NOB growth inhibition;
(3) simulating and calculating the total ratio decay rate of NOB, introducing the toxicity influence of nitrite, wherein the toxicity of the nitrite is expressed by an S-type formula with power n being more than 1; obtained using eq.3:
wherein, b: NOB intrinsic specific decay Rate (d)-1),NOB nitrite toxic decay Rate (d)-1),Half-saturation factor (mg-N/L) for NOB nitrite toxicity decay, N: the power of nitrite concentration;
(4) simulating the conversion of dead NOB to soluble COD, the overall specific degradation rate of the introduced NOB was obtained using Eq.4:
wherein: bl,tot: NOB Total specific degradation Rate (d)-1),bl: NOB intrinsic specific degradation rate (d)-1),NOB nitrite inhibited degradation rate (d)-1),NOB nitrite inhibited degradation half saturation factor (mg-N/L), m: the power of nitrite concentration;
(5) modeling
2. A two-step decay model of nitrite-oxidizing bacteria constructed by the method of claim 1.
3. The two-step decay model of nitrite oxidizing bacteria of claim 2, wherein the model is a two-step decay model of nitrite oxidizing bacteria under high nitrite concentration inhibition.
4. Use of the two-step decay model of claim 2 in wastewater treatment, wherein: calculating the nitrite concentration required to inhibit the activity of NOB by the two-step decay model; namely, the short-cut nitrification and denitrification nitrogen removal effect is ensured by controlling the concentration of the nitrite, and the sewage treatment effect is improved.
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CN104163490A (en) * | 2014-08-19 | 2014-11-26 | 北京工业大学 | Method for rapidly realizing partial nitrification of municipal sewage through aerobic starvation |
CN105138716A (en) * | 2015-07-07 | 2015-12-09 | 广州市市政工程设计研究总院 | Operational optimization method for nitration and nitrosation processes |
CN111363776A (en) * | 2020-03-26 | 2020-07-03 | 山东建筑大学 | Method for determining influence of FNA on nitrite oxidizing bacteria by using mathematical model |
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CN104163490A (en) * | 2014-08-19 | 2014-11-26 | 北京工业大学 | Method for rapidly realizing partial nitrification of municipal sewage through aerobic starvation |
CN105138716A (en) * | 2015-07-07 | 2015-12-09 | 广州市市政工程设计研究总院 | Operational optimization method for nitration and nitrosation processes |
CN111363776A (en) * | 2020-03-26 | 2020-07-03 | 山东建筑大学 | Method for determining influence of FNA on nitrite oxidizing bacteria by using mathematical model |
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