CN112345473A - Method for identifying dissolved oxygen control factors of thermal stratification reservoir - Google Patents
Method for identifying dissolved oxygen control factors of thermal stratification reservoir Download PDFInfo
- Publication number
- CN112345473A CN112345473A CN202011150046.3A CN202011150046A CN112345473A CN 112345473 A CN112345473 A CN 112345473A CN 202011150046 A CN202011150046 A CN 202011150046A CN 112345473 A CN112345473 A CN 112345473A
- Authority
- CN
- China
- Prior art keywords
- reservoir
- dissolved oxygen
- thermal stratification
- stratification
- water
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 title claims abstract description 222
- 229910052760 oxygen Inorganic materials 0.000 title claims abstract description 222
- 239000001301 oxygen Substances 0.000 title claims abstract description 222
- 238000013517 stratification Methods 0.000 title claims abstract description 164
- 238000000034 method Methods 0.000 title claims abstract description 48
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 115
- 238000012544 monitoring process Methods 0.000 claims abstract description 59
- 238000009826 distribution Methods 0.000 claims abstract description 50
- 239000011159 matrix material Substances 0.000 claims abstract description 25
- 238000010586 diagram Methods 0.000 claims abstract description 21
- 230000007246 mechanism Effects 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 239000010410 layer Substances 0.000 claims description 52
- 230000008569 process Effects 0.000 claims description 26
- 239000000126 substance Substances 0.000 claims description 23
- 230000009471 action Effects 0.000 claims description 20
- 239000002245 particle Substances 0.000 claims description 18
- 230000003851 biochemical process Effects 0.000 claims description 17
- 238000000354 decomposition reaction Methods 0.000 claims description 15
- 230000029553 photosynthesis Effects 0.000 claims description 15
- 238000010672 photosynthesis Methods 0.000 claims description 15
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 15
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 14
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 14
- 230000000694 effects Effects 0.000 claims description 14
- 239000011146 organic particle Substances 0.000 claims description 13
- 238000009792 diffusion process Methods 0.000 claims description 12
- 238000012360 testing method Methods 0.000 claims description 12
- 238000004062 sedimentation Methods 0.000 claims description 10
- 239000002352 surface water Substances 0.000 claims description 10
- 206010021143 Hypoxia Diseases 0.000 claims description 9
- 238000012549 training Methods 0.000 claims description 9
- 229910052757 nitrogen Inorganic materials 0.000 claims description 8
- WSFSSNUMVMOOMR-UHFFFAOYSA-N Formaldehyde Chemical compound O=C WSFSSNUMVMOOMR-UHFFFAOYSA-N 0.000 claims description 7
- XLYOFNOQVPJJNP-ZSJDYOACSA-N heavy water Substances [2H]O[2H] XLYOFNOQVPJJNP-ZSJDYOACSA-N 0.000 claims description 7
- 229910052742 iron Inorganic materials 0.000 claims description 7
- 229910052698 phosphorus Inorganic materials 0.000 claims description 7
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 6
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 6
- WPBNNNQJVZRUHP-UHFFFAOYSA-L manganese(2+);methyl n-[[2-(methoxycarbonylcarbamothioylamino)phenyl]carbamothioyl]carbamate;n-[2-(sulfidocarbothioylamino)ethyl]carbamodithioate Chemical compound [Mn+2].[S-]C(=S)NCCNC([S-])=S.COC(=O)NC(=S)NC1=CC=CC=C1NC(=S)NC(=O)OC WPBNNNQJVZRUHP-UHFFFAOYSA-L 0.000 claims description 6
- 230000003647 oxidation Effects 0.000 claims description 6
- 238000007254 oxidation reaction Methods 0.000 claims description 6
- 239000011574 phosphorus Substances 0.000 claims description 6
- 229910052717 sulfur Inorganic materials 0.000 claims description 6
- 239000011593 sulfur Substances 0.000 claims description 6
- 230000003139 buffering effect Effects 0.000 claims description 5
- 239000002344 surface layer Substances 0.000 claims description 5
- 241001465754 Metazoa Species 0.000 claims description 4
- 230000015572 biosynthetic process Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 239000005416 organic matter Substances 0.000 claims description 4
- 230000036284 oxygen consumption Effects 0.000 claims description 4
- 238000005086 pumping Methods 0.000 claims description 4
- 241000894006 Bacteria Species 0.000 claims description 3
- 229930002868 chlorophyll a Natural products 0.000 claims description 3
- ATNHDLDRLWWWCB-AENOIHSZSA-M chlorophyll a Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 ATNHDLDRLWWWCB-AENOIHSZSA-M 0.000 claims description 3
- 230000004907 flux Effects 0.000 claims description 3
- 238000006396 nitration reaction Methods 0.000 claims description 3
- 238000004172 nitrogen cycle Methods 0.000 claims description 3
- 230000008092 positive effect Effects 0.000 claims description 3
- NBIIXXVUZAFLBC-UHFFFAOYSA-N Phosphoric acid Chemical compound OP(O)(O)=O NBIIXXVUZAFLBC-UHFFFAOYSA-N 0.000 claims 2
- 238000013528 artificial neural network Methods 0.000 description 4
- 238000002798 spectrophotometry method Methods 0.000 description 4
- 230000032798 delamination Effects 0.000 description 3
- QAOWNCQODCNURD-UHFFFAOYSA-N Sulfuric acid Chemical compound OS(O)(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-N 0.000 description 2
- 238000003321 atomic absorption spectrophotometry Methods 0.000 description 2
- 238000005842 biochemical reaction Methods 0.000 description 2
- AMWRITDGCCNYAT-UHFFFAOYSA-L hydroxy(oxo)manganese;manganese Chemical compound [Mn].O[Mn]=O.O[Mn]=O AMWRITDGCCNYAT-UHFFFAOYSA-L 0.000 description 2
- 238000004255 ion exchange chromatography Methods 0.000 description 2
- 230000033116 oxidation-reduction process Effects 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 238000006722 reduction reaction Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000012876 topography Methods 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 230000005570 vertical transmission Effects 0.000 description 2
- RBTBFTRPCNLSDE-UHFFFAOYSA-N 3,7-bis(dimethylamino)phenothiazin-5-ium Chemical compound C1=CC(N(C)C)=CC2=[S+]C3=CC(N(C)C)=CC=C3N=C21 RBTBFTRPCNLSDE-UHFFFAOYSA-N 0.000 description 1
- ORILYTVJVMAKLC-UHFFFAOYSA-N Adamantane Natural products C1C(C2)CC3CC1CC2C3 ORILYTVJVMAKLC-UHFFFAOYSA-N 0.000 description 1
- 229910002651 NO3 Inorganic materials 0.000 description 1
- NHNBFGGVMKEFGY-UHFFFAOYSA-N Nitrate Chemical compound [O-][N+]([O-])=O NHNBFGGVMKEFGY-UHFFFAOYSA-N 0.000 description 1
- -1 Sulfide compound Chemical class 0.000 description 1
- MMDJDBSEMBIJBB-UHFFFAOYSA-N [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] Chemical compound [O-][N+]([O-])=O.[O-][N+]([O-])=O.[O-][N+]([O-])=O.[NH6+3] MMDJDBSEMBIJBB-UHFFFAOYSA-N 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 description 1
- 229940010552 ammonium molybdate Drugs 0.000 description 1
- 235000018660 ammonium molybdate Nutrition 0.000 description 1
- 239000011609 ammonium molybdate Substances 0.000 description 1
- QLULGSLAHXLKSR-UHFFFAOYSA-N azane;phosphane Chemical compound N.P QLULGSLAHXLKSR-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 238000012851 eutrophication Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 229960000907 methylthioninium chloride Drugs 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 150000002823 nitrates Chemical class 0.000 description 1
- USHAGKDGDHPEEY-UHFFFAOYSA-L potassium persulfate Chemical compound [K+].[K+].[O-]S(=O)(=O)OOS([O-])(=O)=O USHAGKDGDHPEEY-UHFFFAOYSA-L 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 150000003467 sulfuric acid derivatives Chemical class 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/3103—Atomic absorption analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/33—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using ultraviolet light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/96—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation using ion-exchange
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/08—Fluids
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Spectroscopy & Molecular Physics (AREA)
- General Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Biochemistry (AREA)
- Mathematical Physics (AREA)
- Pathology (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Analytical Chemistry (AREA)
- Immunology (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Fluid Mechanics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Algebra (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Aeration Devices For Treatment Of Activated Polluted Sludge (AREA)
Abstract
The invention discloses a method for identifying dissolved oxygen control factors of a thermal stratification reservoir, which comprises the steps of S1, determining dissolved oxygen influence factors of the thermal stratification reservoir based on a thermal stratification reservoir dissolved oxygen evolution mechanism; s2, obtaining the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir; s3, constructing a conceptual model of evolution of the dissolved oxygen of the thermal stratification reservoir according to the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir; s4, distributing a plurality of monitoring points along the way according to reservoir terrain based on a conceptual model of reservoir dissolved oxygen evolution, and acquiring enough water quality sample data; s5, obtaining space-time distribution characteristics and stratification structure characteristics of reservoir dissolved oxygen according to the water quality sample data obtained through analysis and monitoring; s6, constructing a characteristic distribution matrix diagram of the dissolved oxygen monitoring points of the thermal stratification reservoir based on the space-time distribution characteristics and the stratification structure characteristics of the dissolved oxygen of the thermal stratification reservoir; s7, identifying key control factors of the evolution of the dissolved oxygen of the thermal stratification reservoir according to the characteristic distribution matrix diagram of the dissolved oxygen monitoring points of the thermal stratification reservoir.
Description
Technical Field
The invention belongs to the technical field of reservoir dissolved oxygen, and particularly relates to a method for identifying dissolved oxygen control factors of a thermal stratification reservoir.
Background
The thermal stratification reservoir is a deep water reservoir with strong regulating capacity, large storage capacity and low flow rate, and obvious thermal stratification phenomenon appears every year. Along with the large increase of pollution load of a drainage basin, the eutrophication phenomenon of the water body happens occasionally, the water body oxygen deficiency problem of the thermal stratification reservoir is serious, and the water body oxygen deficiency becomes a serious global ecological environment problem. Due to the diversity and complexity of an energy-mass system in the thermal stratification reservoir, the evolution cause of the dissolved oxygen of the thermal stratification reservoir is not completely clear at present, and the research on the evolution mechanism is very important for formulating a reservoir water quality protection and management strategy.
Disclosure of Invention
The invention aims to provide a method for identifying dissolved oxygen control factors of a thermal stratification reservoir, aiming at overcoming the defects in the prior art, and solving the problem that the key control factors of the dissolved oxygen of the thermal stratification reservoir are still unclear in the prior art.
In order to achieve the purpose, the invention adopts the technical scheme that:
a method for identifying dissolved oxygen control factors of a thermal stratification reservoir comprises the following steps:
s1, determining dissolved oxygen influence factors of the thermal stratification reservoir based on the evolution mechanism of the dissolved oxygen of the thermal stratification reservoir;
s2, obtaining the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir according to the dissolved oxygen influence factors of the thermal stratification reservoir;
s3, constructing a conceptual model of evolution of the dissolved oxygen of the thermal stratification reservoir according to the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir;
s4, distributing a plurality of water quality monitoring points along the reservoir terrain based on the conceptual model of reservoir dissolved oxygen evolution, and acquiring enough water quality sample data;
s5, obtaining space-time distribution characteristics and stratification structure characteristics of reservoir dissolved oxygen according to sample data obtained through analysis and monitoring;
s6, constructing a dissolved oxygen characteristic distribution matrix diagram of the monitoring points of the thermal stratification reservoir based on the spatial-temporal distribution characteristics and the stratification structure characteristics of the dissolved oxygen of the thermal stratification reservoir;
s7, identifying key control factors of dissolved oxygen evolution of the thermal stratification reservoir according to the dissolved oxygen characteristic distribution matrix diagram of the thermal stratification reservoir monitoring points.
Preferably, the evolution mechanism of dissolved oxygen in thermally stratified reservoirs in S1 includes interaction of hydrodynamic, thermal stratification and biochemical processes of the reservoirs, which specifically includes:
according to the interaction of the reservoir water power on the thermal stratification, determining the influence factor of the water power on the dissolved oxygen of the reservoir comprises the following steps: scheduling the water level of the reservoir and water pumping and draining;
determining the influence factors of the thermal stratification on the dissolved oxygen of the reservoir according to the influence of the thermal stratification on the formation of the vertical anisotropic physical environment, wherein the influence factors comprise: the stability of thermal stratification and the water temperature of each vertical layer during thermal stratification;
determining the influence factors of the biochemical process on the dissolved oxygen in the reservoir according to the supply, consumption and buffering effects of the biochemical process on the oxygen in the reservoir comprises the following steps: aquatic animal and plant respiration, organic matter decomposition, inorganic matter oxidation, nitration and denitrification reaction.
Preferably, the obtaining of the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir according to the dissolved oxygen influence factor of the thermal stratification reservoir in S2 includes:
the main process of reservoir surface layer is atmosphere reoxygenation and aquatic plant photosynthesis to supply dissolved oxygen;
the middle and lower layers of the reservoir consume dissolved oxygen mainly through the respiration of aquatic organisms and the decomposition of organic matters;
the vertical stratification of water temperature during thermal stratification includes: the surface water layer corresponds to the surface layer of the reservoir, and the thermocline layer and the temperature retardation layer correspond to the middle-lower layer of the reservoir.
Preferably, the dissolved oxygen presents a layered-circulation characteristic under the action of vertical layering of water temperature during thermal layering of the thermal layering reservoir, and the layered dissolved oxygen comprises a mixed layer, an oxygen transition layer and an oxygen deficiency layer from top to bottom.
Preferably, S4 lays a plurality of water quality monitoring points according to reservoir topography on the basis of the conceptual model of reservoir dissolved oxygen evolution, obtains sufficient quantity of water quality sample data, and includes:
and arranging a plurality of water quality monitoring points along the terrain of the reservoir, setting monitoring time and monitoring frequency, and acquiring dissolved oxygen and water temperature of the reservoir and substance concentrations of nitrogen, phosphorus, iron, manganese, sulfur and chlorophyll a closely related to the circulation of the dissolved oxygen.
Preferably, in S5, the space-time distribution characteristics and the layering structure characteristics of the dissolved oxygen in the reservoir are obtained according to the water quality sample data obtained by analysis and monitoring, including the spatial characteristics of the evolution of the dissolved oxygen under the action of reservoir hydrodynamic force and thermal layering processes:
reservoir water dynamic characteristics include that substances such as dissolved oxygen in the water move to other positions along with the water, and the hydraulic transport process includes convection and diffusion, and based on Fick's law, the molecular diffusion in the calculation water dynamic diffusion:
wherein F is flux of the substance in water along the normal direction n of the action surface; c is the concentration of the substance; d is the molecular diffusion coefficient of the substance in the water body.
Preferably, in S5, the space-time distribution characteristics and the layered structure characteristics of the dissolved oxygen in the reservoir are obtained according to the water quality sample data obtained by analysis and monitoring, and include the space-time distribution characteristics and the layered structure characteristics of the dissolved oxygen under the thermal stratification effect:
according to the thickness Z of the surface water layereMaximum depth Z of lake or reservoirmaxRatio Z ofe/ZmaxJudging the thermal stratification stability of the water body:
when Z ise/Zmax<At 0.5 hour, the reservoir is in a stable thermal stratification state;
when 0.5<Ze/Zmax<1, the thermal stratification of the reservoir is disturbed by strong wind, and vertical mixing occurs;
when 1 is<Ze/Zmax<2, the reservoir is layered intermittently when no wind exists;
when Z ise/Zmax>At 2, the reservoir did not stratify.
Preferably, in S5, the space-time distribution characteristics and the stratification structure characteristics of the dissolved oxygen in the reservoir are obtained according to the water quality sample data obtained by analysis and monitoring, and include the space-time distribution characteristics and the stratification structure characteristics of the dissolved oxygen under the action of the biochemical process:
the biochemical process of the reservoir comprises photosynthesis, respiration and decomposition of organisms, and directly or indirectly drives the circulation of oxygen, nitrogen, iron, manganese, sulfur and phosphorus;
wherein, the oxygen cycle process in the photosynthesis is as follows:
CO2+2H2O→(CH2O)+H2O+O2
(CH2O)+H2O+O2→CO2+2H2O
wherein, the nitrogen cycle process is as follows:
based on photosynthesis, respiration and decomposition, the organic particles in the water body subside to consume dissolved oxygen, and the settling speed of the organic particles is calculated as follows:
wherein v issIs the sedimentation velocity; fgGravity to which the particles settle, FbAnd FdRespectively the upward buoyancy and resistance in the particle sedimentation process; rhopIs the density of the particles; rhowIs the density of water; r ispIs the radius m of the particle; μ is the absolute viscosity of water;
the settling rate of the obtained organic particles is low, 40 days are needed for 10m of particles with the particle size of 10 mu m to settle, the organic particles are utilized by heterotrophic bacteria in the settling process, a large amount of organic particles sink in a surface water layer, and a large amount of dissolved oxygen is consumed.
Preferably, S6 is a graph of a distribution matrix of dissolved oxygen characteristics of monitoring points of the thermal stratification reservoir, based on the spatial-temporal distribution characteristics and the stratification characteristics of the dissolved oxygen of the thermal stratification reservoir, including:
d is a distribution matrix of influence factors of the dissolved oxygen characteristics of the monitoring points, An is An influence factor of hydrodynamic force on the dissolved oxygen of the reservoir, and n is a natural number; bn is an influence factor of the thermal stratification effect on dissolved oxygen in the reservoir; cn is an influence factor of the biochemical action on dissolved oxygen in the reservoir;
defining the positive effect of oxygen generated in the influence factors of the dissolved oxygen characteristics of the monitoring points, and marking the value as positive; oxygen consumption is a negative effect, and the value is recorded as negative;
normalizing the characteristic influence factors in the distribution matrix D of the characteristic influence factors of the dissolved oxygen at the monitoring points, and randomly dividing the characteristic influence factors into training sample data and test sample data;
constructing a Bi-LSTM model according to the training sample data and the test sample data, testing the Bi-LSTM model based on the test sample data, and outputting to obtain specific characteristic values of characteristic influence factors of each monitoring point on the dissolved oxygen of the reservoir;
according to the obtained characteristic values, constructing a dissolved oxygen characteristic distribution matrix diagram D1 of the monitoring points of the thermal stratification reservoir:
the method for identifying the dissolved oxygen control factors of the thermal stratification reservoir has the following beneficial effects:
according to the invention, the influence factor of the dissolved oxygen of the thermal stratification reservoir is determined through the reservoir dissolved oxygen evolution mechanism, and a conceptual model of the dissolved oxygen evolution of the thermal stratification reservoir is constructed on the basis of the spatial characteristics and the cause analysis of the dissolved oxygen of the thermal stratification reservoir; finally, based on a large amount of sample data, establishing a dissolved oxygen characteristic distribution matrix diagram of reservoir monitoring points; and identifying to obtain key control factors of the evolution of the dissolved oxygen of the thermal stratification reservoir.
Drawings
FIG. 1 is a schematic diagram showing the comprehensive effect relationship of the influence factors of dissolved oxygen in a thermal stratification reservoir.
FIG. 2 is a schematic diagram of spatial distribution of various influencing factors of dissolved oxygen evolution of a thermal stratification reservoir.
FIG. 3 is a schematic diagram of external factors and action strength of the evolution of dissolved oxygen in a thermal stratification reservoir.
FIG. 4 is a schematic diagram of internal factors and action strength of dissolved oxygen evolution of a thermal stratification reservoir
FIG. 5 is a conceptual model diagram of evolution of dissolved oxygen in a thermal stratified reservoir.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
According to one embodiment of the application, referring to fig. 1, the method for identifying the dissolved oxygen control factor of the hot stratified reservoir according to the scheme comprises the following steps:
s1, determining dissolved oxygen influence factors of the thermal stratification reservoir based on the evolution mechanism of the dissolved oxygen of the thermal stratification reservoir;
s2, obtaining the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir according to the dissolved oxygen influence factors of the thermal stratification reservoir;
s3, constructing a conceptual model of evolution of the dissolved oxygen of the thermal stratification reservoir according to the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir;
s4, distributing a plurality of water quality monitoring points along the reservoir terrain based on the conceptual model of reservoir dissolved oxygen evolution, and acquiring enough water quality sample data;
s5, obtaining space-time distribution characteristics and stratification structure characteristics of reservoir dissolved oxygen according to the water quality sample data obtained through analysis and monitoring;
s6, constructing a dissolved oxygen characteristic distribution matrix diagram of the monitoring points of the thermal stratification reservoir based on the spatial-temporal distribution characteristics and the stratification structure characteristics of the dissolved oxygen of the thermal stratification reservoir;
s7, identifying key control factors of dissolved oxygen evolution of the thermal stratification reservoir according to the dissolved oxygen characteristic distribution matrix diagram of the thermal stratification reservoir monitoring points.
According to an embodiment of the present application, the above steps will be described in detail below;
step S1, determining a dissolved oxygen influence factor of the thermal stratification reservoir based on a dissolved oxygen evolution mechanism of the thermal stratification reservoir, which specifically comprises the following steps:
the evolution mechanism of dissolved oxygen in the thermal stratification reservoir comprises the interaction of hydrodynamic force, thermal stratification and biochemical processes of the reservoir, and specifically comprises the following steps:
according to the interaction of the reservoir water power on the thermal stratification, determining the influence factor of the water power on the dissolved oxygen of the reservoir comprises the following steps: and (4) scheduling the water level of the reservoir and pumping and draining water.
The reservoir determines the water exchange capacity of the reservoir through pumping and draining scheduling, controls the vertical mixing strength of the water of the reservoir, influences the vertical transmission of energy, and further influences the vertical distribution of water temperature and the stability of thermal stratification; the hydrodynamic process of the reservoir influences the vertical migration and mixing of substances such as water N, P and dissolved oxygen, so that the substances are vertically and uniformly mixed.
Determining the influence factors of the thermal stratification on the dissolved oxygen of the reservoir according to the influence of the thermal stratification on the formation of the vertical anisotropic physical environment, wherein the influence factors comprise: the stability of thermal stratification and the water temperature of each vertical layer during thermal stratification.
The formation of a vertical differential physical environment is caused by the thermal stratification of the reservoir, the vertical mixing of the water bodies and the vertical transmission of substances and energy are inhibited, and the stability of the thermal stratification influences the strength of the vertical mixing of the water bodies and the hydraulic retention time of the water bodies at each vertical layer; the thermal stratification creates physical conditions for vertical chemical stratification of the water body, and the water temperature of each vertical layer determines the intensity of biochemical reaction while inhibiting the supply intensity of dissolved oxygen of each layer of water body, so that the consumption intensity of dissolved oxygen of each layer is influenced.
Determining the influence factors of the biochemical process on the dissolved oxygen in the reservoir according to the supply, consumption and buffering effects of the biochemical process on the dissolved oxygen in the reservoir comprises the following steps: aquatic animal and plant respiration, organic matter decomposition, inorganic matter oxidation, nitration and denitrification reaction.
Biochemical processes such as reservoir oxidation-reduction and the like act on the whole processes of supply, consumption and buffering of dissolved oxygen, photosynthesis and the like of aquatic plants supply the dissolved oxygen, respiration of the aquatic plants and the aquatic animals, decomposition of organic matters, oxidation of inorganic matters and the like consume the dissolved oxygen, and reduction reaction of oxides such as nitrate and the like oxidizes the organic matters to relieve the consumption of the dissolved oxygen; the dissolved oxygen concentration of the reservoir also controls the oxidation-reduction environment of the water body, controls the starting conditions of reactions such as nitrification and denitrification and influences the biochemical reaction process.
Step S2, obtaining the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir according to the dissolved oxygen influence factor of the thermal stratification reservoir, and the method specifically comprises the following steps:
referring to fig. 2, the dissolved oxygen in the hot stratified water reservoir is supplied by the upstream inflow of water, atmospheric reoxygenation, photosynthesis of aquatic plants, consumption by respiration of aquatic organisms, decomposition of organic substances, oxidation of reducing inorganic substances, consumption of oxygen by deposits, and the like, and is also buffered by the reduction reaction of oxides such as nitrates, and the difference in the area space where the supply, consumption, and buffering of the dissolved oxygen occur is significant.
The main process of reservoir surface layer is atmosphere reoxygenation and photosynthesis of aquatic plant to supply dissolved oxygen.
The main process of the middle and lower layers of the reservoir is the consumption of dissolved oxygen by the respiration of aquatic organisms and the decomposition of organic matters.
The reservoir thermal stratification enables hydrodynamic conditions in each layer of water body in the vertical direction to be different remarkably, and controls layering-mixing of dissolved oxygen, so that vertical mixing of the reservoir water body also has remarkable spatial characteristics. The water temperature goes through a layering-mixing cycle process, and the vertical mixing effect of the water body in the mixing period is strong; the water temperature is vertically layered during the thermal stratification, for example, the water temperature vertically presents a 3-layer structure of a surface water layer, a thermocline and a temperature stagnation layer from top to bottom during the warm stratification. The surface water layer has high water temperature and strong vertical mixing effect of water; the thermocline is used as a middle layer for the transition from surface warm water to bottom cold water, the larger temperature gradient causes a larger density gradient, and the vertical mixing effect of the water body is weak; the temperature stagnation layer is positioned at the lower layer of the reservoir, the temperature is lowest, the water body disturbance is small, and the vertical mixing effect of the water body is weak.
Under the comprehensive action of the various influence factors, the water dynamic field, the temperature field and the material concentration field of the thermal stratification reservoir have obvious spatial difference, so that the dissolved oxygen presents the characteristics of stratification-circulation, and the dissolved oxygen presents a 3-layer structure of a mixing layer, an oxygen jump layer and an oxygen deficiency layer from top to bottom during stratification. The dissolved oxygen in the mixed layer is vertically and uniformly mixed, the concentration of the dissolved oxygen is higher, and a saturated or supersaturated state is achieved; the thickness of the layer gradually increases during the delamination period until the final stage of the delamination reaches about half of the total water depth of the reservoir. The dissolved oxygen concentration of the oxygen jump layer is sharply reduced along with the increase of water depth, even oxygen deficiency occurs; as delamination continues, the thickness of the layer increases and then decreases, and the vertical depth of the appearance gradually moves downward. The dissolved oxygen concentration of the oxygen deficiency layer is slowly reduced along with the continuous layering, and the phenomena of oxygen deficiency and even oxygen deficiency can occur in the middle and later stages of the layering; the thickness of the layer gradually decreased during thermal stratification to 1/3 where the final thickness of the stratification was approximately the total water depth in the reservoir.
Step S3, referring to fig. 5, constructing a conceptual model of evolution of dissolved oxygen in the thermal stratification reservoir according to spatial characteristics of dissolved oxygen in the thermal stratification reservoir, which specifically includes:
the external influencing factors defining the evolution of dissolved oxygen are:
the method comprises the following steps of exchange of water-gas interface substances and energy, exchange of sediment-water interface substances and energy, inflow and outflow exchange and the like, and simulation of external factors and action strength of dissolved oxygen evolution of the thermal stratification reservoir is carried out according to external influence factors, as shown in figure 3.
The internal influencing factors defining the evolution of dissolved oxygen are:
the simulation of the internal factors and the action strength of the evolution of the dissolved oxygen in the thermally stratified reservoir is carried out according to the internal influence factors, such as the periodic changes of the dynamic field and the temperature field of the reservoir, such as the vertical mixing of the water body, the water temperature and the thermal stratification, and the periodic changes of the concentration field caused by biochemical processes, such as photosynthesis, respiration, organic matter decomposition, inorganic matter oxidation and denitrification, and the like, as shown in fig. 4.
S4 based on the conceptual model of reservoir dissolved oxygen evolution, according to reservoir topography along the journey lay a plurality of water quality monitoring point, obtain enough quantity water quality sample data, include:
and arranging a plurality of monitoring points along the terrain of the reservoir, setting monitoring time and monitoring frequency according to monitoring factors, and acquiring dissolved oxygen and water temperature of the reservoir and substance concentrations of nitrogen, phosphorus, iron, manganese, sulfur and chlorophyll a closely related to the circulation of the dissolved oxygen.
TABLE 1 Water quality monitoring index detection method
| Serial number | Item | Method of producing a |
| 1 | pH value | Glass electrode method GB 6920-86 |
| 2 | Total phosphorus | Ammonium molybdate spectrophotometry GB 11893-1989 |
| 3 | Total nitrogen | Alkaline potassium persulfate digestion ultraviolet spectrophotometry HJ 636- |
| 4 | Nitrate nitrogen | Ion chromatography HJ 84-2016 |
| 5 | Ammonia nitrogen | Nassner reagent spectrophotometry HJ 535-2009 |
| 6 | Sulfide compound | Methylene blue spectrophotometry GB/T16489-1996 |
| 7 | Sulfates of sulfuric acid | Ion chromatography HJ 84-2016 |
| 8 | Iron | Flame atomic absorption spectrophotometry GB 11911-1989 |
| 9 | Manganese oxide | Flame atomic absorption spectrophotometry GB 11911-1989 |
Step S5, obtaining space-time distribution characteristics and stratification structure characteristics of reservoir dissolved oxygen according to sample data obtained by analysis and monitoring, wherein the space-time distribution characteristics and the stratification structure characteristics specifically comprise:
the spatial characteristics of dissolved oxygen evolution under the action of reservoir hydrodynamic process:
reservoir water power characteristics include that substances of dissolved oxygen in the water body migrate to other positions along with the movement of the water body, the hydraulic transport process comprises convection and diffusion, and molecular diffusion in the water power diffusion is calculated based on Fick's law:
wherein F is flux of the substance in water along the normal direction n of the action surface; c is the concentration of the substance; d is the molecular diffusion coefficient of the substance in the water body.
The space-time distribution characteristics and the layering structure characteristics of the dissolved oxygen under the action of thermal stratification:
according to the thickness Z of the surface water layereMaximum depth Z of lake or reservoirmaxRatio Z ofe/ZmaxJudging the thermal stratification stability of the water body:
when Z ise/Zmax<At 0.5 hour, the reservoir is in a stable thermal stratification state;
when 0.5<Ze/Zmax<1, the thermal stratification of the reservoir is disturbed by strong wind, and vertical mixing occurs;
when 1 < Ze/ZmaxWhen the pressure is less than 2, the reservoir is layered intermittently when no wind exists;
when Z ise/ZmaxWhen the water content is more than 2, the reservoir is not layered.
The spatial-temporal distribution and stratification characteristics of dissolved oxygen under the action of biochemical processes: a
The biochemical process of the reservoir comprises photosynthesis, respiration and decomposition of organisms, and directly or indirectly drives the circulation of oxygen, nitrogen, iron, manganese, sulfur and phosphorus;
wherein, the oxygen cycle process in the photosynthesis is as follows:
CO2+2H2O→(CH2O)+H2O+O2
(CH2O)+H2O+O2→CO2+2H2O
wherein, the nitrogen cycle process is as follows:
calculating the sedimentation velocity of organic particles in the water body when oxygen is consumed by sedimentation based on photosynthesis, respiration and decomposition:
wherein v issIs the sedimentation velocity; fgGravity to which the particles settle, FbAnd FdRespectively the upward buoyancy and resistance in the particle sedimentation process; rhopIs the density of the particles; rhowIs the density of water; r ispIs the radius m of the particle; μ is the absolute viscosity of water;
the settling rate of the obtained organic particles is low, 40 days are needed for 10m of particles with the particle size of 10 mu m to settle, the organic particles are utilized by heterotrophic bacteria in the settling process, a large amount of organic particles sink in a surface water layer, and a large amount of oxygen is consumed.
Step S6, constructing a dissolved oxygen characteristic distribution matrix diagram of the monitoring points of the thermal stratification reservoir based on the spatial-temporal distribution characteristics and the stratification structure characteristics of the dissolved oxygen of the thermal stratification reservoir, comprising:
d is a distribution matrix of influence factors of the dissolved oxygen characteristics of the monitoring points, An is An influence factor of hydrodynamic force on the dissolved oxygen of the reservoir, and n is a natural number; bn is an influence factor of the thermal stratification effect on dissolved oxygen in the reservoir; cn is an influence factor of the biochemical action on the dissolved oxygen of the reservoir.
Defining the positive effect of oxygen generated in the influence factors of the dissolved oxygen characteristics of the monitoring points, and marking the value as positive; oxygen consumption is a negative effect, and its value is noted as negative.
And normalizing the characteristic influence factors in the distribution matrix D of the characteristic influence factors of the dissolved oxygen at the monitoring points, and randomly dividing the characteristic influence factors into training sample data and test sample data.
And constructing a Bi-LSTM model according to the training sample data and the test sample data, testing the Bi-LSTM model based on the test sample data, and outputting to obtain specific characteristic values of characteristic influence factors of each monitoring point on the dissolved oxygen of the reservoir.
Before Bi-LSTM neural network training is carried out through training sample data, setting Bi-LSTM neural network hyper-parameters related to the Bi-LSTM neural network training, wherein the setting comprises the following steps: and constructing a Bi-LSTM neural network by using Keras, determining the number of layers of the Bi-LSTM including the node numbers of an input layer, a Bi-LSTM layer and an output layer, selecting an MAE as a loss function, selecting adam as an optimizer, and selecting a relu function as an activation function.
According to the obtained characteristic values, constructing a characteristic distribution matrix diagram D1 of the dissolved oxygen monitoring points of the thermal stratification reservoir:
the values in the matrix D1 represent the magnitude of the effect of each control factor on the dissolved oxygen in the reservoir, with positive values representing oxygen production and negative values representing oxygen consumption.
And S7, identifying key control factors of the evolution of the dissolved oxygen of the thermal stratification reservoir according to the dissolved oxygen characteristic distribution matrix diagram of the monitoring points of the thermal stratification reservoir.
The setting can be performed according to the actual situation, for example, the control factor corresponding to the value of the definition matrix D1 whose absolute value is greater than 0.1 is the key control factor.
According to the invention, the influence factor of the dissolved oxygen of the thermal stratification reservoir is determined through the reservoir dissolved oxygen evolution mechanism, and a conceptual model of the dissolved oxygen evolution of the thermal stratification reservoir is constructed on the basis of the spatial characteristics and the cause analysis of the dissolved oxygen of the thermal stratification reservoir; finally, based on a large amount of sample data, establishing a characteristic distribution matrix diagram of the reservoir dissolved oxygen monitoring points; and identifying to obtain key control factors of the evolution of the dissolved oxygen of the thermal stratification reservoir.
While the embodiments of the invention have been described in detail in connection with the accompanying drawings, it is not intended to limit the scope of the invention. Various modifications and changes may be made by those skilled in the art without inventive step within the scope of the appended claims.
Claims (9)
1. A method for identifying dissolved oxygen control factors of a thermal stratification reservoir is characterized by comprising the following steps:
s1, determining dissolved oxygen influence factors of the thermal stratification reservoir based on the evolution mechanism of the dissolved oxygen of the thermal stratification reservoir;
s2, obtaining the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir according to the dissolved oxygen influence factors of the thermal stratification reservoir;
s3, constructing a conceptual model of evolution of the dissolved oxygen of the thermal stratification reservoir according to the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir;
s4, distributing a plurality of water quality monitoring points along the reservoir terrain based on the conceptual model of reservoir dissolved oxygen evolution, and acquiring enough water quality sample data;
s5, analyzing and monitoring the obtained water quality sample data to obtain the space-time distribution characteristics and the stratification structure characteristics of the reservoir dissolved oxygen;
s6, constructing a characteristic distribution matrix diagram of the dissolved oxygen monitoring points of the thermal stratification reservoir based on the space-time distribution characteristics and the stratification structure characteristics of the dissolved oxygen of the thermal stratification reservoir;
s7, identifying key control factors of the evolution of the dissolved oxygen of the thermal stratification reservoir according to the characteristic distribution matrix diagram of the dissolved oxygen monitoring points of the thermal stratification reservoir.
2. The method for identifying factors controlling dissolved oxygen in a thermally stratified reservoir as claimed in claim 1, wherein the evolution mechanism of dissolved oxygen in a thermally stratified reservoir in S1 includes interaction of hydrodynamic force, thermal stratification and biochemical processes of the reservoir, which specifically includes:
according to the interaction of the reservoir water power on the thermal stratification, determining the influence factor of the water power on the dissolved oxygen of the reservoir comprises the following steps: scheduling the water level of the reservoir and water pumping and draining;
determining the influence factors of the thermal stratification on the dissolved oxygen of the reservoir according to the influence of the thermal stratification on the formation of the vertical anisotropic physical environment, wherein the influence factors comprise: the stability of thermal stratification and the water temperature of each vertical layer during thermal stratification;
determining the influence factors of the biochemical process on the dissolved oxygen in the reservoir according to the supply, consumption and buffering effects of the biochemical process on the dissolved oxygen in the reservoir comprises the following steps: aquatic animal and plant respiration, organic matter decomposition, inorganic matter oxidation, nitration and denitrification reaction.
3. The method for identifying the dissolved oxygen control factor of the thermal stratification reservoir according to claim 1, wherein the step of obtaining the spatial characteristics of the dissolved oxygen of the thermal stratification reservoir according to the dissolved oxygen influencing factor of the thermal stratification reservoir in S2 comprises:
the main process of reservoir surface layer is atmosphere reoxygenation and aquatic plant photosynthesis to supply dissolved oxygen;
the middle and lower layers of the reservoir consume dissolved oxygen mainly through the respiration of aquatic organisms and the decomposition of organic matters;
during the hot stratification, the water temperature vertically stratifies from top to bottom including: the surface water layer corresponds to the surface layer of the reservoir, and the thermocline layer and the temperature retardation layer correspond to the middle-lower layer of the reservoir.
4. The method for identifying factors controlling dissolved oxygen in a hot stratified reservoir as claimed in claim 3, wherein the dissolved oxygen exhibits a stratified cycle characteristic under the action of vertical stratification of water temperature during the hot stratification, and the stratified dissolved oxygen comprises a mixed layer, an oxygen jump layer and an oxygen deficiency layer from top to bottom.
5. The method for identifying the dissolved oxygen control factor of the hot stratified reservoir as claimed in claim 1, wherein said S4 is based on a conceptual model of reservoir dissolved oxygen evolution, and a plurality of water quality monitoring points are arranged along the reservoir terrain to obtain a sufficient number of water quality sample data, and the method comprises:
and arranging a plurality of water quality monitoring points along the terrain of the reservoir, setting monitoring time and monitoring frequency according to monitoring factors, and acquiring dissolved oxygen and water temperature of the reservoir and substance concentrations of nitrogen, phosphorus, iron, manganese, sulfur and chlorophyll a closely related to the circulation of the dissolved oxygen.
6. The method for identifying the dissolved oxygen control factors of the hot stratified reservoir as claimed in claim 1, wherein the step S5 is performed by analyzing the sample data obtained by monitoring the water quality to obtain the spatial-temporal distribution characteristics and the stratification structure characteristics of the dissolved oxygen of the reservoir, including the spatial characteristics of the evolution of the dissolved oxygen under the action of reservoir hydrodynamic force and hot stratification processes:
reservoir water power characteristics include that substances of dissolved oxygen in the water body migrate to other positions along with the movement of the water body, the hydraulic transport process comprises convection and diffusion, and molecular diffusion in the water power diffusion is calculated based on Fick's law:
wherein F is flux of the substance in water along the normal direction n of the action surface; c is the concentration of the substance; d is the molecular diffusion coefficient of the substance in the water body.
7. The method for identifying the dissolved oxygen control factors in the thermal stratification reservoir of claim 1, wherein the space-time distribution characteristics and the stratification structure characteristics of the dissolved oxygen in the reservoir are obtained according to the sample data obtained by analyzing and monitoring in S5, and include the space-time distribution characteristics and the stratification structure characteristics of the dissolved oxygen under the thermal stratification effect:
according to the thickness Z of the surface water layereMaximum depth Z of lake or reservoirmaxRatio Z ofe/ZmaxJudging the thermal stratification stability of the water body:
when Z ise/Zmax<At 0.5 hour, the reservoir is in a stable thermal stratification state;
when 0.5<Ze/Zmax<1, the thermal stratification of the reservoir is disturbed by strong wind, and vertical mixing occurs;
when 1 is<Ze/Zmax<2, the reservoir is layered intermittently when no wind exists;
when Z ise/Zmax>At 2, the reservoir did not stratify.
8. The method for identifying the dissolved oxygen control factors of the hot stratified reservoir as claimed in claim 1, wherein the analysis and monitoring of the obtained water quality sample data in S5 is performed to obtain the space-time distribution characteristics and the stratification structure characteristics of the dissolved oxygen of the reservoir, including the space-time distribution characteristics and the stratification structure characteristics of the dissolved oxygen under the action of biochemical processes: a
The biochemical process of the reservoir comprises photosynthesis, respiration and decomposition of organisms, and directly or indirectly drives the circulation of oxygen, nitrogen, iron, manganese, sulfur and phosphorus;
wherein, the oxygen cycle process in the photosynthesis is as follows:
CO2+2H2O→(CH2O)+H2O+O2
(CH2O)+H2O+O2→CO2+2H2O
wherein, the nitrogen cycle process is as follows:
(CH2O)106(NH3)16(H3PO4)+94.4HNO3→106CO2+55.2N2+H3PO4+177.2H2O
calculating the sedimentation velocity of organic particles in the water body when oxygen is consumed by sedimentation based on photosynthesis, respiration and decomposition:
wherein v issIs the sedimentation velocity; fgGravity to which the particles settle, FbAnd FdRespectively the upward buoyancy and resistance in the particle sedimentation process; rhopIs the density of the particles; rhowIs the density of water; r ispIs the radius m of the particle; μ is the absolute viscosity of water;
the settling rate of the obtained organic particles is low, 40 days are needed for 10m of particles with the particle size of 10 mu m to settle, the organic particles are utilized by heterotrophic bacteria in the settling process, a large amount of organic particles sink in a surface water layer, and a large amount of oxygen is consumed.
9. The method for identifying the dissolved oxygen control factors of the thermal stratification reservoir according to claim 1, wherein the step S6 is implemented by constructing a distribution matrix diagram of the dissolved oxygen characteristics of the monitoring points of the thermal stratification reservoir based on the spatial-temporal distribution characteristics and the stratification structure characteristics of the dissolved oxygen of the thermal stratification reservoir, and comprises the following steps:
d is a distribution matrix of influence factors of the dissolved oxygen characteristics of the monitoring points, An is An influence factor of hydrodynamic force on the dissolved oxygen of the reservoir, and n is a natural number; bn is an influence factor of the thermal stratification effect on dissolved oxygen in the reservoir; cn is an influence factor of the biochemical action on dissolved oxygen in the reservoir;
defining the positive effect of oxygen generated in the characteristic influence factors of the monitoring points, and marking the value as positive; oxygen consumption is a negative effect, and the value is recorded as negative;
normalizing the characteristic influence factors in the distribution matrix D of the characteristic influence factors of the dissolved oxygen at the monitoring points, and randomly dividing the characteristic influence factors into training sample data and test sample data;
constructing a Bi-LSTM model according to the training sample data and the test sample data, testing the Bi-LSTM model based on the test sample data, and outputting to obtain specific characteristic values of the dissolved oxygen characteristic influence factors of each monitoring point on the dissolved oxygen of the reservoir;
according to the obtained characteristic values, constructing a characteristic distribution matrix diagram D1 of the dissolved oxygen monitoring points of the thermal stratification reservoir:
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011150046.3A CN112345473B (en) | 2020-10-23 | 2020-10-23 | Method for identifying dissolved oxygen control factors of thermal stratification reservoir |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011150046.3A CN112345473B (en) | 2020-10-23 | 2020-10-23 | Method for identifying dissolved oxygen control factors of thermal stratification reservoir |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112345473A true CN112345473A (en) | 2021-02-09 |
| CN112345473B CN112345473B (en) | 2021-08-24 |
Family
ID=74360127
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011150046.3A Active CN112345473B (en) | 2020-10-23 | 2020-10-23 | Method for identifying dissolved oxygen control factors of thermal stratification reservoir |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112345473B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114662422A (en) * | 2022-04-02 | 2022-06-24 | 中国水利水电科学研究院 | Construction method of thermal stratification reservoir thermocline dissolved oxygen prediction model |
| CN117152633A (en) * | 2023-09-06 | 2023-12-01 | 广东海洋大学 | Method for inverting oxygen jump layer of low oxygen area based on Argo buoy and remote sensing data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106950879A (en) * | 2017-03-30 | 2017-07-14 | 中国水利水电科学研究院 | A kind of water temperature of reservoir information monitoring system and method |
| CN108647783A (en) * | 2018-05-10 | 2018-10-12 | 江南大学 | A kind of aquaculture water quality dissolved oxygen detection method |
| CN109657200A (en) * | 2018-12-05 | 2019-04-19 | 北京师范大学 | A kind of method of determining lake and reservoir cyanobacterial bloom outburst probability |
| CN110889550A (en) * | 2019-11-22 | 2020-03-17 | 江南大学 | Method for predicting dissolved oxygen in different water areas based on transfer learning |
| CN110937691A (en) * | 2019-12-04 | 2020-03-31 | 珠江水利委员会珠江水利科学研究院 | Physical-biological eutrophic water bloom treatment method suitable for deep water reservoir |
| CN210595715U (en) * | 2019-09-09 | 2020-05-22 | 广州开源智慧水务有限公司 | Ecological oxygen boosting repair system of compound microorganism full interface |
-
2020
- 2020-10-23 CN CN202011150046.3A patent/CN112345473B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106950879A (en) * | 2017-03-30 | 2017-07-14 | 中国水利水电科学研究院 | A kind of water temperature of reservoir information monitoring system and method |
| CN108647783A (en) * | 2018-05-10 | 2018-10-12 | 江南大学 | A kind of aquaculture water quality dissolved oxygen detection method |
| CN109657200A (en) * | 2018-12-05 | 2019-04-19 | 北京师范大学 | A kind of method of determining lake and reservoir cyanobacterial bloom outburst probability |
| CN210595715U (en) * | 2019-09-09 | 2020-05-22 | 广州开源智慧水务有限公司 | Ecological oxygen boosting repair system of compound microorganism full interface |
| CN110889550A (en) * | 2019-11-22 | 2020-03-17 | 江南大学 | Method for predicting dissolved oxygen in different water areas based on transfer learning |
| CN110937691A (en) * | 2019-12-04 | 2020-03-31 | 珠江水利委员会珠江水利科学研究院 | Physical-biological eutrophic water bloom treatment method suitable for deep water reservoir |
Non-Patent Citations (6)
| Title |
|---|
| YANLIANG DU ETAL: ""Modeling of water quality evolution and response with the hydrological regime changes in Poyang Lake"", 《ENVIRONMENTAL EARTH SCIENCES》 * |
| ZHIYI LI ETAL: ""Integrated Ecological-Hydrodynamic Model for the Jiangdong Reservoir in Jiulong River"", 《2012 INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND BIOTECHNOLOGY》 * |
| 余晓 等: ""大型深水水库溶解氧层化结构演化机制"", 《湖泊科学》 * |
| 刘尚武 等: ""金沙江下游梯级水库对氮_磷营养盐的滞留效应"", 《湖泊科学》 * |
| 杜彦良 等: ""分层湖库溶解氧时空特性研究进展"", 《水利学报》 * |
| 杜彦良 等: ""近10年流域江湖关系变化作用下鄱阳湖水动力及水质特征模拟"", 《环境科学学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114662422A (en) * | 2022-04-02 | 2022-06-24 | 中国水利水电科学研究院 | Construction method of thermal stratification reservoir thermocline dissolved oxygen prediction model |
| CN117152633A (en) * | 2023-09-06 | 2023-12-01 | 广东海洋大学 | Method for inverting oxygen jump layer of low oxygen area based on Argo buoy and remote sensing data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112345473B (en) | 2021-08-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Visser et al. | Artificial mixing prevents nuisance blooms of the cyanobacterium Microcystis in Lake Nieuwe Meer, the Netherlands | |
| Fritz et al. | Dynamic process modeling of wastewater stabilization ponds | |
| Kim et al. | Modeling biotic uptake by periphyton and transient hyporrheic storage of nitrate in a natural stream | |
| Rivera-Monroy et al. | Denitrification in coastal Louisiana: A spatial assessment and research needs | |
| CN112345473B (en) | Method for identifying dissolved oxygen control factors of thermal stratification reservoir | |
| Kemp et al. | Nitrogen cycling and estuarine interfaces: some current concepts and research directions | |
| Solimeno et al. | Microalgae and bacteria dynamics in high rate algal ponds based on modelling results: Long-term application of BIO_ALGAE model | |
| John et al. | Aeration intensity simulation in a saturated vertical up-flow constructed wetland | |
| CN111398548A (en) | Plant effect-based surface flow wetland water body nitrogen and phosphorus concentration prediction method | |
| CN103792844A (en) | Sewage treatment control method based on sequential clusters | |
| CN112257932B (en) | Thermal stratification reservoir dissolved oxygen prediction method | |
| Ortiz et al. | Advanced biokinetic and hydrodynamic modelling to support and optimize the design of full-scale high rate algal ponds | |
| CN107445304B (en) | Enhanced denitrification method and enhanced denitrification wetland system suitable for subsurface flow constructed wetland | |
| Wang et al. | Effects of Drying-Flooding Alternation on Sediment–Water Nitrogen Fluxes in Hydro-fluctuation Belt of the Danjiangkou Reservoir | |
| Nakamura et al. | Photosynthesis in sediments determined at high spatial resolution by the use of microelectrodes | |
| Moreno et al. | MODELING THE PERFORMANCE OF DEEP WASTE STABILIZATION PONDS 1 | |
| Schmidt et al. | A regional 3D coupled ecosystem model of the Benguela upwelling system | |
| Anggara Kasih et al. | Numerical simulation of water quality response to nutrient loading and sediment resuspension in Mikawa Bay, central Japan: quantitative evaluation of the effects of nutrient‐reduction measures on algal blooms | |
| Howeler | The oxygen status of lake sediments | |
| Fuchs | Nitrogen removal and sustainability of vertical flow constructed wetlands for small scale wastewater treatment | |
| Imteaz et al. | Modelling multi-species algal bloom in a lake and inter-algal competitions | |
| Dumitran et al. | A mathematical model of a shallow and eutrophic lake (Stiucii–Romania) | |
| Wu et al. | Monsoon-driven dynamics of environmental factors and phytoplankton in tropical Sanya Bay, South China sea | |
| Thach et al. | The influence of bottom sediment redox state on water quality dynamics under long-term anoxic conditions in an organically polluted reservoir | |
| CN112347710B (en) | Thermal stratification type reservoir scheduling optimization method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |