CN107045050A - The grading forewarning system method of flow rate threshold is utilized under a kind of pop-up threat - Google Patents

The grading forewarning system method of flow rate threshold is utilized under a kind of pop-up threat Download PDF

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CN107045050A
CN107045050A CN201710248685.5A CN201710248685A CN107045050A CN 107045050 A CN107045050 A CN 107045050A CN 201710248685 A CN201710248685 A CN 201710248685A CN 107045050 A CN107045050 A CN 107045050A
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丁晓雯
康博
翟爱丰
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North China Electric Power University
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    • G01MEASURING; TESTING
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    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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    • G08B21/02Alarms for ensuring the safety of persons
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
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Abstract

The invention discloses a kind of grading forewarning system method that flow rate threshold is utilized under pop-up threat, it is characterised in that comprises the following steps:1) pollutant warning grade is divided, using hierarchy model (A)2) flow rate threshold is calculated using the pollutant concentration monitor value c detected, determines dispersal pattern model (1) of the pollutant in river,(1) 3) when pop-up threat occurs, the pollutant concentration value detected by the detector positioned at reservoir is transferred to early warning hierarchy model and flow rate threshold computation model, and pollutant degree of danger is divided, warning level is determined.

Description

The grading forewarning system method of flow rate threshold is utilized under a kind of pop-up threat
Technical field
The invention belongs to environmental project and ecological engineering technology field, and in particular to stream is utilized under a kind of pop-up threat The grading forewarning system method of fast threshold value simultaneously tackles pop-up threat using this method.
Background technology
In recent years, Three Gorges Reservoir upstream establishes many medium-sized chemical plant, and considerably increase river water source ground contamination can Can property.In addition, data display, the annual petroleum transportation in Three Gorges oneself through having exceeded 3500 tons, therefore how research ensures water head site The water quality safety of drinking water is highly important.According to reservoir area of Three Gorges potable water source district Water Environment Status quo, commented with reference to water quality safety Sentence system, construct reservoir area of Three Gorges Water Quality Safety of Drinking Water Source early-warning and predicting model framework.Based on water quality model to pollutant Simulation is diffused, water quality safety forecast submodel is established;Based on water monitoring data, warning grade division is carried out, is set up Water quality safety early warning submodel;Utilize
Calculating powerful MATLAB and graphic capability, construct reservoir area of Three Gorges Water Quality Safety of Drinking Water Source early-warning and predicting mould Type.
The content of the invention
To achieve these goals, the technical scheme is that:Flow rate threshold is utilized under a kind of pop-up threat Grading forewarning system method, comprises the following steps:
1) pollutant warning grade is divided, using hierarchy model (A).
Wherein, C- monitor values;C1- background values;C2- standard values;C3- pollutant average values.
The monitor value is that automatic control station surveys Mixing Coefficient in Rectangular Channels water concentration numerical value when occurring by accident.The back of the body Scape value is the average value in water source area pollutant concentration Monitoring Data for many years.The standard value is in water environment quality standard (GB3838-2002) requirement of third level is met in.
When the functional value EW (C) of the hierarchy model (A) drawn according to pollutant concentration monitor value c values is less than 0, drink Water head site starts the primary early warning of water quality safety;When EW (C) is located between 0 and 1, it is pre- that potable water source district starts water quality safety middle rank It is alert;When Early-warning Model functional value EW (C) is more than 1, potable water source district starts the senior early warning of water quality safety, stops water intaking.
2) flow rate threshold is calculated using the pollutant water concentration monitor value c detected
Determine dispersal pattern model of the pollutant in river, with formula (l } represent
Assuming that in the presence of two borders, pollution sources are located between two borders, it is considered to the reflex on border, it can now lead to The reflex that the virtual source assumed carrys out simulating boundary is crossed, model (1) is changed over into formula (2)
Constraints:b<B
The calculation formula of each parameter is as follows in model:
Wherein:The monitor values of c mono-, mg/l;
c1One national water standard concentration value, mg/l;
cOne water body background concentration value, mg/l;
The pollutant quality of M mono-, g;
The river depth of waters of h mono-, m;
The limiting times of t mono-, s;
The diffusion coefficient in Dx-X directions;
The diffusion coefficient in Dy-y directions;
The attenuation coefficients of K mono-, d-1
uX- x directions flow velocity, m/s;
The pollution sources of b mono- and the distance on bank, m;
The river width of B mono-, m;
The hydraulic gradients of i mono-.
Using the model determination in the case of pop-up threat, by determining that the depth of water and limiting time etc. constrain bar Part, is meeting national water standard (water environment quality standard (GB 3838-2002>) requirement under, when calculating restriction The interior flow rate of water flow reached required for national water standard, when flow velocity is more than flow velocity door screen value, river water can pass through self-cleaning Ability reached three class water standards in 5 days.If flow velocity is less than flow velocity threshold value, intuitively it can judge within the crash time River can not by itself self-purification capacity solve water pollution the problem of.Then need to provide a response bar for scheduling aspect Part.
3) when pop-up threat occurs, the pollutant concentration value detected by the detector positioned at reservoir is transferred to early warning Hierarchy model and flow rate threshold computation model, divide to pollutant degree of danger, determine warning level, while the stream drawn Fast threshold value is compared with flow velocity actual in reservoir, if VIt is actual> VThreshold, reservoir can reach water quality mark by self-cleaning in 5 days Quasi- value, if VIt is actual< VThreshold, river can not by itself self-purification capacity solve water pollution the problem of, other measures such as thing should be taken Reason, chemistry and biological control measure are handled.
The effect of the present invention, the present invention utilizes existing numerical model and Visualization Platform, and inverting typical case's potable water source district exists Suddenly accident scene under different water environment situations, and grade classification, water are carried out to the pollution level of unexpected environmental accident When matter contamination accident happens suddenly, concentration value measured by monitoring station is carried out by the Monitoring Data of water quality early-warning model, pollutant concentration Analysis, it may be determined that warning level, subsequent urgency signal can be published to relevant departments, take the measure of corresponding warning level. And consider that concentration sends different alarms from flow velocity, for different grades of sudden water pollution event, with reference to related physical, Chemistry and biological control measure, are administered.
Brief description of the drawings
Fig. 1 is grading forewarning system schematic diagram.
The graph of a relation of pollutant concentration and flow velocity when Fig. 2 is flood season.
The graph of a relation of pollutant concentration and flow velocity when Fig. 3 is the retaining phase
Fig. 4 is the graph of a relation of pollutant concentration and flow velocity when falling the phase of disappearing.
Fig. 5 is classification alarm and the combination figure of flow rate threshold.
Fig. 6 is that reservoir area of Three Gorges water quality safety forecasts submodel figure.
Embodiment
Below in conjunction with the accompanying drawings, the present invention is described in more detail.
The grading forewarning system method of flow rate threshold is utilized under a kind of pop-up threat, is comprised the following steps:
1) pollutant warning grade is divided, the present Research and its hair of the current Water Quality Evaluation method of comprehensive analysis Exhibition trend, selection operation is simple, and operation is convenient and meets the progress warning level division of the method for early warning of reservoir area of Three Gorges actual conditions. Inventor creates hierarchy model (A).
Wherein, C- monitor values;C1- background values;C2- standard values;C3- pollutant average values.The monitor value is by thing Therefore automatic control station surveys Mixing Coefficient in Rectangular Channels water concentration numerical value when occurring.The background value is in water source area pollutant concentration The average value of Monitoring Data for many years.The standard value meets the third level in water environment quality standard (GB3838-2002) It is other to require.
Fig. 1 is grading forewarning system schematic diagram, as the Early-warning Model functional value EW drawn according to pollutant concentration monitor value c values (C) when being less than 0, potable water source district starts the primary early warning of water quality safety.When EW (C) is located between 0 and 1, potable water source district is opened The dynamic intermediate early warning of water quality safety, shows that water head site has risk of exceeding criterion, relevant departments carry out Emergency management preparation, it is considered to stop Only fetch water, carry out drinking water deposit work, it is ensured that resident just commonly uses water.When Early-warning Model functional value EW (C) is more than 1, drinking water Start to source the senior early warning of water quality safety, show that water head site is exceeded, the safety of the water quality safety of potable water source district to the mankind Formed dangerous, it is necessary to stop water intaking, relevant departments take urgent measure improvement at once, strive for making water head site drinking water quality as early as possible Reach safe concentration.
2) flow rate threshold is calculated using the pollutant water concentration monitor value c detected.
Determine dispersal pattern model of the pollutant in river first, can with formula (1 } represent
Assuming that in the presence of two borders, pollution sources are located between two borders, it is considered to the reflex on border, it can now lead to The reflex that the virtual source assumed carrys out simulating boundary is crossed, model (1) is changed over into formula (2)
Constraints:b<B
The calculation formula of each parameter is as follows in model:
Wherein:The monitor values of c mono-, mg/l;
c1One national water standard concentration value, mg/l;
c.One water body background concentration value, mg/l;
The pollutant quality of M mono-, g;
The river depth of waters of h mono-, m;
The limiting times of t mono-, s;
The diffusion coefficient in Dx-X directions;
The diffusion coefficient in Dy-y directions;
The attenuation coefficients of K mono-, d-1
uX- x directions flow velocity, m/s;
The pollution sources of b mono- and the distance on bank, m;
The river width of B mono-, m;
The hydraulic gradients of i mono-.
The present invention by simulate the Changjiang river Yichang strain return water head site Oil spills accident exemplified by, wherein, data use 2015 times Hydrographic data is calculated, and flood season is May to August part, and the retaining phase is September And October, disappears and falls the phase for April November to next year. Corresponding river width B is 2000m, and the decay coefficient K of oil is 0.0000015, and contamination accident chooses river center, i.e. b= 1000m, national three classes water standard cl=O.OSmg/l.By calculating, flood season depth of water h=133.04m, Dx=61.11, Dy= l.ss;Retaining phase depth of water h=149.33m, Dx=72.7, Dy=1.84;Disappear and fall phase depth of water h=153.74m, Dx=75.91, Dy =1.92.
According to Three Gorges hydrological variation, being divided into three periods is calculated, with the feasibility of confirmatory experiment.Fig. 1, figure 2 and Fig. 3 represents flood season, retaining phase and disappeared respectively falls to ensure in period phase the flow velocity threshold value of drinking water safety.In required scheduling In limit, calculated by simulating, the river flow thresholds of the guarantee water quality reaching standard in each period, such as this simulation case can be drawn In, the emergency scheduling time be 5 days, therefore in the calculating simulation calculating time of flow velocity threshold value be limited with 5 days, in simulation process Pollutant selects oil, and quality is 600t.By calculating, flood season, retaining phase and disappearing fall the phase flow velocity threshold value be distributed as 0.017m/s, 0.014m/s and 0.013mls.When the flow velocity in the period is more than flow velocity threshold value, river water can be by from net energy Power reached three class water standards in 5 days., being capable of the river that goes out within the crash time of intuitive judgment if flow velocity is less than flow velocity threshold value The problem of stream can not solve water pollution by itself self-purification capacity.Need to provide a response condition for scheduling aspect.
3) Fig. 5 is classification alarm and the combination figure of flow rate threshold.When pop-up threat occurs, positioned at the detector of reservoir Detected pollutant concentration value is transferred to early warning hierarchy model and flow rate threshold computation model, and pollutant degree of danger is entered Row is divided, and warning level is determined, while flow velocity actual in the flow rate threshold and reservoir that draw is compared, if VIt is actual> VThreshold, water Storehouse can reach water standard value by self-cleaning in 5 days, if VIt is actual< VThreshold, river can not solve water by itself self-purification capacity The problem of matter pollutes, should take other measures such as physics, chemistry and biological control measure to be handled.
Physical:Absorption method, the organic contamination such as benzene homologues, phenols, agricultural chemicals in water removal is gone using sorbing materials such as activated carbons Thing.Current activated carbon application extensively, can tackle 60 Some Organic Pollutants.Activated carbon is divided into Powdered Activated Carbon (PAC) and granular Activated carbon (GAC).In water pollution in Songhuajiang River accident urban water supply emergency processing in 2005, PAC absorption source water nitre is formd Base benzene and processing water factory sand filter increase the emergency handling process of GAC filtering layer dual safety barriers newly, and nitro phenenyl concentration is expired after processing Sufficient water standard.
Chemical method:Chemical emergency disposal measure for the water pollution accident that happens suddenly is mainly oxidative decomposition process.Oxidation Decomposition Method uses the oxidants such as potassium permanganate, ozone by organic pollutants oxidation removal.
Bioanalysis:Biological treatment is the phagocytosis by microbe matter, is acted on by metabolism etc. by it Decompose and convert, so as to reach the purpose of organics removal.
Technical scheme is described in detail above-described embodiment.It is apparent that the present invention is not limited being retouched The embodiment stated.Based on the embodiment in the present invention, those skilled in the art can also make a variety of changes accordingly, but appoint What is equal with the present invention or similar change belongs to the scope of protection of the invention.

Claims (5)

1. the grading forewarning system method of flow rate threshold is utilized under a kind of pop-up threat, it is characterised in that comprise the following steps:
1) pollutant warning grade is divided, using hierarchy model (A),
<mrow> <mi>E</mi> <mi>W</mi> <mrow> <mo>(</mo> <mi>c</mi> <mo>)</mo> </mrow> <mo>=</mo> <mn>2</mn> <mfrac> <mrow> <mo>(</mo> <mi>c</mi> <mo>-</mo> <msub> <mi>c</mi> <mn>2</mn> </msub> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <msub> <mi>c</mi> <mn>3</mn> </msub> <mo>-</mo> <msub> <mi>c</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mi>A</mi> <mo>)</mo> </mrow> </mrow>
Wherein, C- monitor values;C1- background values;C2- standard values;C3- pollutant average values;
The monitor value is that automatic control station surveys Mixing Coefficient in Rectangular Channels water concentration numerical value, the background value when occurring by accident It is that the standard value is in water environment quality standard in the average value of water source area pollutant concentration Monitoring Data for many years (GB3838-2002) requirement of third level is met in;
2) flow rate threshold is calculated using the pollutant water concentration monitor value c detected, determines diffusion of the pollutant in river Pattern model, with formula (l } represent
<mrow> <msub> <mi>D</mi> <mi>x</mi> </msub> <mfrac> <mrow> <msup> <mo>&amp;part;</mo> <mn>2</mn> </msup> <mi>c</mi> </mrow> <mrow> <mo>&amp;part;</mo> <msup> <mi>x</mi> <mn>2</mn> </msup> </mrow> </mfrac> <mo>-</mo> <msub> <mi>u</mi> <mi>x</mi> </msub> <mfrac> <mrow> <mo>&amp;part;</mo> <mi>c</mi> </mrow> <mrow> <mo>&amp;part;</mo> <mi>x</mi> </mrow> </mfrac> <mo>-</mo> <mi>K</mi> <mi>c</mi> <mo>=</mo> <mn>0</mn> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
Model (1) is changed over into formula (2)
<mrow> <mtable> <mtr> <mtd> <mrow> <mi>c</mi> <mo>=</mo> <msub> <mi>c</mi> <mn>0</mn> </msub> <mo>+</mo> <mfrac> <mi>M</mi> <mrow> <mn>4</mn> <mi>&amp;pi;</mi> <mi>h</mi> <mi>t</mi> <msqrt> <mrow> <msub> <mi>D</mi> <mi>x</mi> </msub> <msub> <mi>D</mi> <mi>y</mi> </msub> </mrow> </msqrt> </mrow> </mfrac> <mi>exp</mi> <mrow> <mo>(</mo> <mo>-</mo> <mi>K</mi> <mi>t</mi> <mo>)</mo> </mrow> <mi>exp</mi> <mo>{</mo> <mi>exp</mi> <mo>&amp;lsqb;</mo> <mo>-</mo> <mfrac> <msup> <mrow> <mo>(</mo> <msub> <mi>u</mi> <mi>x</mi> </msub> <mi>t</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mrow> <mn>4</mn> <msub> <mi>D</mi> <mi>x</mi> </msub> <mi>t</mi> </mrow> </mfrac> <mo>&amp;rsqb;</mo> <mo>+</mo> <mi>exp</mi> <mo>&amp;lsqb;</mo> <mo>-</mo> <mfrac> <msup> <mrow> <mo>(</mo> <msub> <mi>u</mi> <mi>x</mi> </msub> <mi>t</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mrow> <mn>4</mn> <msub> <mi>D</mi> <mi>x</mi> </msub> <mi>t</mi> </mrow> </mfrac> <mo>-</mo> <mfrac> <msup> <mrow> <mo>(</mo> <mn>2</mn> <mi>b</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mrow> <mn>4</mn> <msub> <mi>D</mi> <mi>y</mi> </msub> <mi>t</mi> </mrow> </mfrac> <mo>&amp;rsqb;</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mo>+</mo> <mi>exp</mi> <mo>&amp;lsqb;</mo> <mo>-</mo> <mfrac> <msup> <mrow> <mo>(</mo> <msub> <mi>u</mi> <mi>x</mi> </msub> <mi>t</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mrow> <mn>4</mn> <msub> <mi>D</mi> <mi>x</mi> </msub> <mi>t</mi> </mrow> </mfrac> <mo>-</mo> <mfrac> <mrow> <mn>4</mn> <msup> <mrow> <mo>(</mo> <mi>B</mi> <mo>-</mo> <mi>b</mi> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> <mrow> <mn>4</mn> <msub> <mi>D</mi> <mi>y</mi> </msub> <mi>t</mi> </mrow> </mfrac> <mo>&amp;rsqb;</mo> <mo>}</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mi>c</mi> <mo>&amp;le;</mo> <msub> <mi>c</mi> <mn>1</mn> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>u</mi> <mi>x</mi> </msub> <mo>&gt;</mo> <mn>0</mn> </mrow> </mtd> </mtr> </mtable> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>
Constraints:b<B
The calculation formula of each parameter is as follows in model:
<mrow> <msub> <mi>D</mi> <mi>x</mi> </msub> <mo>=</mo> <mn>5.93</mn> <mi>h</mi> <msqrt> <mrow> <mi>g</mi> <mi>h</mi> <mi>i</mi> </mrow> </msqrt> </mrow>
<mrow> <msub> <mi>D</mi> <mi>y</mi> </msub> <mo>=</mo> <mn>0.15</mn> <mi>h</mi> <msqrt> <mrow> <mi>g</mi> <mi>h</mi> <mi>i</mi> </mrow> </msqrt> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>
Wherein:The monitor values of c mono-, mg/l;
c1One national water standard concentration value, mg/l;
c.One water body background concentration value, mg/l;
The pollutant quality of M mono-, g;
The river depth of waters of h mono-, m;
The limiting times of t mono-, s;
The diffusion coefficient in Dx-X directions;
The diffusion coefficient in Dy-y directions;
The attenuation coefficients of K mono-, d-1
uX- x directions flow velocity, m/s;
The pollution sources of b mono- and the distance on bank, m;
The river width of B mono-, m;
The hydraulic gradients of i mono-;
3) when pop-up threat occurs, the pollutant concentration value detected by the detector positioned at reservoir is transferred to early warning classification Model and flow rate threshold computation model, divide to pollutant degree of danger, determine warning level.
2. method according to claim 1, it is characterised in that step 1) in, obtained when according to pollutant concentration monitor value c values When the functional value EW (C) of the hierarchy model (A) gone out is less than 0, potable water source district starts the primary early warning of water quality safety;When EW (C) position When between 0 and 1, potable water source district starts the intermediate early warning of water quality safety;When Early-warning Model functional value EW (C) is more than 1, drink Water head site starts the senior early warning of water quality safety, stops water intaking.
3. method according to claim 1, it is characterised in that step 2) in, when flow velocity is more than flow velocity door screen value, river water Three class water standards can be reached in 5 days by self-purification capacity, if flow velocity is less than flow velocity threshold value, can intuitively be judged The problem of river in crash time can not solve water pollution by itself self-purification capacity, then need to provide sound for scheduling aspect Answer condition.
4. method according to claim 1, it is characterised in that step 3) in stream actual in the flow rate threshold that draws and reservoir Speed is compared, if VIt is actual> VThreshold, reservoir can reach water standard value by self-cleaning in 5 days, if VIt is actual< VThreshold, river can not The problem of solving water pollution by itself self-purification capacity, should take at other measures such as physics, chemistry and biological control measure Reason.
5. method according to claim 4, it is characterised in that the physical measure is absorption method, is gone using absorbent charcoal material Benzene homologues, phenols, insecticide pollution in water removal;The chemical measure is using the oxidative decomposition process of potassium permanganate, using ozone Oxidant method;The biological control measure is the phagocytosis by microbe matter, decomposes it by metabolism And conversion, reach the purpose of organics removal.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107403034A (en) * 2017-06-28 2017-11-28 西交利物浦大学 Water pollution spreads early warning method for visualizing
CN111524035A (en) * 2020-05-13 2020-08-11 水利部交通运输部国家能源局南京水利科学研究院 Hydrodynamic regulation and control threshold determination method for improvement of river network water environment in plain city
CN115684516A (en) * 2022-08-29 2023-02-03 邯郸市亿润工程咨询有限公司 Hydraulic engineering sewage treatment detection method and device, electronic equipment and medium

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105976086A (en) * 2016-04-26 2016-09-28 天津大学 Early warning and plan generating method for sudden water pollution event of water conveyance project

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105976086A (en) * 2016-04-26 2016-09-28 天津大学 Early warning and plan generating method for sudden water pollution event of water conveyance project

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107403034A (en) * 2017-06-28 2017-11-28 西交利物浦大学 Water pollution spreads early warning method for visualizing
CN111524035A (en) * 2020-05-13 2020-08-11 水利部交通运输部国家能源局南京水利科学研究院 Hydrodynamic regulation and control threshold determination method for improvement of river network water environment in plain city
CN115684516A (en) * 2022-08-29 2023-02-03 邯郸市亿润工程咨询有限公司 Hydraulic engineering sewage treatment detection method and device, electronic equipment and medium
CN115684516B (en) * 2022-08-29 2024-03-26 邯郸市亿润工程咨询有限公司 Hydraulic engineering sewage treatment detection method and device, electronic equipment and medium

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