CN115758944A - River water power and water quality coupling model and construction method - Google Patents
River water power and water quality coupling model and construction method Download PDFInfo
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Abstract
The invention discloses a river water power and water quality coupling model and a construction method thereof, wherein the model construction method mainly comprises the following steps: performing land source analysis by adopting a mode of combining a manifest analysis method and a diffusion model, and establishing a SWAT model; constructing a one-dimensional hydrodynamic water quality model by taking a simulation result of the SWAT model as an incoming flow and boundary condition of the one-dimensional hydrodynamic water quality model, taking the downstream water level of a typical area as the boundary condition and taking the sluice station control of a reservoir in the area as a control condition; establishing a two-dimensional hydrodynamic water quality model by taking the result of the one-dimensional hydrodynamic water quality model simulation as an initial value condition; and (3) constructing a land-water integrated coupling model. The system comprises three sets of model systems of a land source model, a one-dimensional hydrodynamic water quality model and a two-dimensional hydrodynamic water quality model, wherein the three sets of models are independent and can be seamlessly integrated, so that researchers can be helped to better analyze the influence of the land source on the water body, and meanwhile, support is provided for water quality response simulation analysis under different regulation and control schemes of a pollution source.
Description
Technical Field
The invention relates to the technical field of water conservancy research, in particular to a dynamic water quality coupling model of river water and a construction method.
Background
The watershed water environment quality target management is the central importance of the current and future water environment management work in China, the water environment quality target management is developed, the fundamental aim is to improve the water environment quality, and the important means is to control a pollution source and clear the response relation between the pollution source input and the water environment quality. In the existing research, a numerical model system based on a non-point source model and a hydrodynamic water quality model is an important tool for performing the research on the land source input-water quality response relation at present, but the existing hydrodynamic water quality models are independent from each other and lack a comprehensive model with higher credibility, which can be interacted with each other and seamlessly integrated.
Disclosure of Invention
The invention aims to provide a river hydrodynamic water quality coupling model and a construction method thereof, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a river hydrodynamic water quality coupling model and a construction method thereof are disclosed, wherein the model construction method mainly comprises the following steps:
the method comprises the following steps: establishing a land source analysis model and a SWAT model, performing land source analysis by adopting a mode of combining a manifest analysis method and a diffusion model, judging whether a pollution source directly enters a water body model or not by using a point source and a non-point source obtained by analyzing the pollution source, taking the pollution source which does not directly enter the water body model as a non-point source input SWAT model, and obtaining land source input by calculating the SWAT model;
step two: establishing a one-dimensional hydrodynamic water quality model, taking the simulation result of the SWAT model in the step one as the incoming flow and boundary conditions of the one-dimensional hydrodynamic water quality model, taking the downstream water level of the typical area as the boundary conditions, and taking the sluice station control of the reservoir in the area as the control conditions, and establishing the one-dimensional hydrodynamic water quality model;
step three: establishing a two-dimensional hydrodynamic water quality model, and determining the initial value condition of the two-dimensional hydrodynamic water quality model by interpolation of an inverse distance weight method according to the result simulated by the one-dimensional hydrodynamic water quality model; the boundary conditions comprise upstream incoming flow, downstream water level and side afflux boundary, wherein the upstream incoming flow and the downstream water level are conditioned by the result of one-dimensional model simulation, and the side afflux is conditioned by the SWAT simulation result and the direct river point source;
step four: and (3) constructing a 'land-water' integrated coupling model, constructing a coupling model library based on an executable program based on the three models, and developing a GUI interface by using a visual programming language.
As a further scheme of the invention: input data required by land source analysis and the SWAT model in the first step comprise meteorological data, point source data and non-point source data; wherein the point source data comprises an industrial point source, a large-scale livestock and poultry breeding source and a sewage treatment plant; the non-point source data comprises a town living source, a third production source, a rural living source, an agricultural planting source, a livestock breeding source and an aquaculture source.
As a further scheme of the invention: the input data of the one-dimensional hydrodynamic water quality model in the second step comprise control data of model operation, model initial condition data and model boundary condition data; the control data comprises the initial operation time of the model and the model operation step length; the initial data comprises initial water levels, flow rates, COD (mg/L), TN (mg/L), TP (mg/L) and ammonia nitrogen (mg/L) concentrations of all sections of the one-dimensional model; the pollutant boundary data comprise wastewater flow, COD (mg/L), TN (mg/L), TP (mg/L) and ammonia nitrogen (mg/L) concentration which are directly converged into the relevant section of the one-dimensional model; the water level boundary data comprises a water level change process of a downstream boundary section through model operation; the gate station scheduling data comprises a gate station, a time-varying process of the water level of the section where the dam is located and an effusion process.
As a further scheme of the invention: the input data of the two-dimensional hydrodynamic water quality model in the third step comprise control data of model operation, model initial condition data and model boundary condition data; the control data comprises the initial operation time of the model and the operation step length of the model; the initial data comprises initial water levels, flow rates, COD (mg/L), TN (mg/L), TP (mg/L) and ammonia nitrogen (mg/L) concentrations of all calculation grid units of the two-dimensional model; the pollutant boundary data comprise wastewater flow, COD (mg/L), TN (mg/L), TP (mg/L) and ammonia nitrogen (mg/L) concentration which are directly merged into a related calculation grid unit of the one-dimensional model; the water level boundary data comprises a water level change process of a downstream boundary grid of model operation; the gate station scheduling data comprises a gate station, a time-varying process of the water level of a grid where the dam is located and an effusion process.
Compared with the prior art, the invention has the beneficial effects that: the land-water integrated coupling model comprises three model systems of a land source model, a one-dimensional hydrodynamic water quality model and a two-dimensional hydrodynamic water quality model, and the three models are independent and can be seamlessly integrated, so that researchers can be helped to better analyze the influence of the land source on the water body, and meanwhile, support is provided for water quality response simulation analysis under different regulation and control schemes of a pollution source.
Drawings
FIG. 1 is a "land-water" integrated coupling model architecture of the present invention.
Fig. 2 is a process flow of the land-source analysis technique of the present invention.
Fig. 3 is a one-dimensional cross-sectional view of a river according to a second embodiment of the present invention.
Fig. 4 is a one-dimensional river network relationship diagram according to a second embodiment of the present invention.
Fig. 5 shows a SWAT importing river network according to the second embodiment of the present invention.
FIG. 6 shows the coupling boundary of a two-dimensional model according to the second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The embodiment I discloses a river water power and water quality coupling model and a construction method thereof, wherein the model construction method mainly comprises the following steps:
the method comprises the following steps: establishing a land source analysis model and a SWAT model, performing land source analysis by adopting a mode of combining a manifest analysis method and a diffusion model, judging whether a pollution source directly enters a water body model or not by using a point source and a non-point source obtained by analyzing the pollution source, taking the pollution source which does not directly enter the water body model as a non-point source input SWAT model, and obtaining land source input by calculating the SWAT model;
step two: establishing a one-dimensional hydrodynamic water quality model, taking the simulation result of the SWAT model in the step one as the incoming flow and boundary conditions of the one-dimensional hydrodynamic water quality model, taking the downstream water level of the typical area as the boundary conditions, and taking the sluice station control of the reservoir in the area as the control conditions, and establishing the one-dimensional hydrodynamic water quality model;
step three: establishing a two-dimensional hydrodynamic water quality model, and determining the initial value condition of the two-dimensional hydrodynamic water quality model according to the simulation result of the one-dimensional hydrodynamic water quality model through interpolation of an inverse distance weighting method; the boundary conditions comprise upstream incoming flow, downstream water level and side afflux boundary, wherein the upstream incoming flow and the downstream water level are conditioned by the result of one-dimensional model simulation, and the side afflux is conditioned by the SWAT simulation result and the direct river point source;
step four: and (3) constructing a 'land-water' integrated coupling model, constructing a coupling model library based on the three models, and developing a GUI interface by using a visual programming language.
According to the method, the method and the device, a manifest analysis method and a diffusion model are combined to analyze the land source, and in the process of analyzing the land source based on the manifest analysis and the diffusion model, the main pollution source of a research area and the pollutant flux and total amount generated by the pollution source are determined through the manifest analysis.
The list analysis is performed by using an empirical formula method (pollution discharge coefficient method) to analyze a point source and a non-point source. Wherein, the point source refers to all river-entering point sources which are converged into the river and are obtained by general investigation of pollution sources; non-point sources include urban and rural life, livestock and poultry farming, farmland planting, aquaculture and urban runoff.
The formula for calculating the pollutant emission of the urban life pollution source is as follows:
Gp＝365×NS p ×10 -10
in the formula: gp is domestic sewage and pollutant discharge amount (ten thousand tons per year) of urban residents; n is the resident population (people) of the town; s. the P The coefficient of generation and the coefficient of discharge (liter/day. People) for the domestic sewage or pollutants of urban residents.
The formula for calculating the discharge amount of the rural domestic sewage pollution load is as follows:
G p =365×NS p ×10 -10
in the formula: gp stands for the amount of emission of certain pollutants in rural life (ten thousand tons/year); n is the population number of rural residential areas; s P The emission rate of pollutants is gram/(man-day) for people in rural areas.
The formula for calculating the pollution load brought by the application of the nitrogenous fertilizer and the phosphate fertilizer in the farmland planting is as follows:
P=∑(A N F N +A p F p )/10 4
in the formula: p is the pollutant load capacity (ten thousand tons per year) of agricultural planting, A N The application amount (t/a) and A of the nitrogen fertilizer for the farmland P The application amount of the phosphate fertilizer (t/a); f N And F P The distribution is the loss coefficient (%) of the nitrogenous fertilizer and the phosphate fertilizer.
The livestock and poultry breeding mainly considers pollutants generated by breeding livestock (pigs and cattle) and poultry, and the calculation formula is as follows:
M=∑C i P i ×365/10 7
in the formula: m is the livestock and poultry breeding pollutant discharge amount (ten thousand tons per year), ci is the total number (head) of pigs (cattle), and Pi is the discharge coefficient (kg/head/day) of the pigs (cattle).
The pollution discharge amount of the aquatic product culture is calculated according to a pollution discharge coefficient method, and the calculation formula is as follows:
M N ＝(C×N f -N s )×10 3
M P =(C×P f -P b )×10 3
wherein MN and MP respectively represent nitrogen load and phosphorus load (kilogram/ton); c is a bait coefficient; nf and Pf are respectively the content percentage of nitrogen and phosphorus in the bait; nb and Pb are respectively the content percentages of nitrogen and phosphorus in the cultured organisms.
On the basis, a SWAT model is applied to construct a non-point source model of a drainage basin, pollution source amount of non-direct river entering is simulated, and finally a river entering pollution source list capable of converging into a water body of a research area is formed by combining the point source of the direct river entering, wherein the list comprises pollution source types, flux and total amount, and the technical flow of pollution source analysis is shown in figure 2.
In the second embodiment, a Tuo river basin is used as a research basin to establish a Tuo river hydrodynamic water quality coupling model.
The calculation range of the one-dimensional hydrodynamic water quality model of the Tuo river in this embodiment is from the river source region of the Yangtze river, the duck river and the stone pavilion river to the intersection of the Tuo river and the Yangtze river, and the range of the two-dimensional hydrodynamic water quality model is from the civil canal to the Deyang 201 monitoring section of the Tuo river.
The one-dimensional river sections divided by this embodiment include the Tuo river main stream, the Duzi river and the stone pavilion river, and two-dimensional grids from the Tuo river main stream civil canal dam to the Deyang 201 exit section are established, and the grids are divided according to the distance of 10-20 meters, as shown in FIG. 3, in the model, the number of the one-dimensional river sections is 2580, and the number of the two-dimensional grids is 5274. And determining the relation of the river network according to the space relation between the Tuojiang main stream and the two branch streams and the trend of the river network water flow. The river network is divided into 5 river reach segments, 6 nodes are arranged, and the river cross section of each river reach segment is shown in figure 4.
According to the setting method of the initial boundary value conditions of the river network model, the initial boundary value conditions of the one-dimensional Tuo river network model comprise initial value conditions and boundary value conditions. Setting an initial value condition according to the actual condition of the simulation time; the boundary conditions include an upstream incoming flow boundary, a downstream water level boundary, and a side incoming sink boundary. Wherein, the upstream incoming flow boundary comprises the incoming flows (including flow and water quality index concentration) at the upper parts of a duck river, a stone pavilion river and a Tuo river, and the upstream incoming flow boundary respectively corresponds to the flow and water quality monitoring data of a gateway, a Gaojing gateway and a Hanwang field (or Qingping); the Qingbaijiang links up to regaining the river system, and the upstream inflow of the Qingbaijiang is also used as the upstream inflow boundary of the Tuojiang river basin; the downstream water level is the water level value of the downstream of the Tuo river and corresponds to the water level data of the Fushun hydrological monitoring station; the side afflux boundary comprises point non-point source afflux, which are respectively the result values of large-scale livestock and poultry breeding, industrial sewage outlets, sewage treatment plants directly afflux to point sources of the three rivers and non-point sources calculated by a land non-point source model. The relationship of the non-point source merging into the one-dimensional river reach is shown in fig. 5.
The initial value condition of the two-dimensional hydrodynamic water quality model is determined by interpolation of an inverse distance weighting method according to the simulation result of the one-dimensional hydrodynamic water quality model; the boundary conditions comprise an upstream incoming flow, a downstream water level and a side entry junction boundary, wherein the upstream incoming flow and the downstream water level are conditioned by the result of one-dimensional model simulation, and the side entry junction is conditioned by the SWAT simulation result and the point source directly entering the river. The coupling interface profile and the grid relationship of a two-dimensional model are shown in fig. 6. As shown in the figure, the outflow of the cross section of the one-dimensional model is the inflow boundary condition of the two-dimensional model, and the cross section of the one-dimensional model is the downstream water level control boundary condition of the two-dimensional model.
The meteorological data required by the land source model comprises the total number of the meteorological stations, the longitude and latitude and the elevation corresponding to each meteorological station, and meteorological indexes monitored by the meteorological stations on different dates, wherein the meteorological indexes comprise indexes such as precipitation (mm), daily maximum temperature (DEG C), daily minimum temperature (DEG C), evaporation (mm), solar radiation (w/m), relative humidity and wind speed (m/s) of the meteorological stations.
According to the environmental statistics of the Tuo river basin, the current Tuo river basin point sources include industrial point sources, large-scale livestock and poultry breeding sources and sewage treatment plants. The statistical yearbook data is a basic data source for non-point source analysis, non-point source accounting is performed by using a pollution discharge coefficient method, non-point source data including town living sources, third industry sources, rural living sources, agricultural planting sources, livestock and poultry breeding sources, aquaculture sources and the like can be obtained through accounting, and the data are basic data for performing watershed non-point source accounting. Wherein, urban life, third industry and agricultural planting can be calculated to the level of villages and towns, and livestock breeding and aquaculture can be calculated to the level of city.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (4)
1. A river hydrodynamic water quality coupling model and a construction method thereof are characterized in that the model construction method mainly comprises the following steps:
the method comprises the following steps: establishing a land source analysis model and a SWAT model, performing land source analysis by adopting a mode of combining a manifest analysis method and a diffusion model, judging whether a pollution source directly enters a water body model or not by using a point source and a non-point source obtained by analyzing the pollution source, taking the pollution source which does not directly enter the water body model as a non-point source input SWAT model, and obtaining land source input by calculating the SWAT model;
step two: establishing a one-dimensional hydrodynamic water quality model, taking the simulation result of the SWAT model in the step one as the incoming flow and boundary conditions of the one-dimensional hydrodynamic water quality model, taking the downstream water level of the typical area as the boundary conditions, and taking the sluice station control of the reservoir in the area as the control conditions, and establishing the one-dimensional hydrodynamic water quality model;
step three: establishing a two-dimensional hydrodynamic water quality model, and determining the initial value condition of the two-dimensional hydrodynamic water quality model by interpolation of an inverse distance weight method according to the result simulated by the one-dimensional hydrodynamic water quality model; the boundary conditions comprise upstream incoming flow, downstream water level and side afflux boundary, wherein the upstream incoming flow and the downstream water level are conditioned by the result of one-dimensional model simulation, and the side afflux is conditioned by the SWAT simulation result and the direct river point source;
step four: and (3) constructing a 'land-water' integrated coupling model, constructing a coupling model library based on an executable program based on the three models, and developing a GUI interface by using a visual programming language.
2. The river hydrodynamic water quality coupling model and the construction method thereof according to claim 1 are characterized in that: input data required by land source analysis and the SWAT model in the first step comprise meteorological data, point source data and non-point source data; wherein the point source data comprises an industrial point source, a large-scale livestock and poultry breeding source and a sewage treatment plant; the non-point source data comprises a town living source, a third production source, a rural living source, an agricultural planting source, a livestock breeding source and an aquaculture source.
3. The river hydrodynamic water quality coupling model and the construction method thereof according to claim 1 are characterized in that: the input data of the one-dimensional hydrodynamic water quality model in the second step comprise control data of model operation, model initial condition data and model boundary condition data; the control data comprises the initial operation time of the model and the operation step length of the model; the initial data comprises initial water levels, flow rates, COD (mg/L), TN (mg/L), TP (mg/L) and ammonia nitrogen (mg/L) concentrations of all sections of the one-dimensional model; the pollutant boundary data comprise wastewater flow, COD (mg/L), TN (mg/L), TP (mg/L) and ammonia nitrogen (mg/L) concentration which are directly converged into the relevant section of the one-dimensional model; the water level boundary data comprises a water level change process of a downstream boundary section through model operation; the gate station scheduling data comprises a gate station, a time-varying process of the water level of the section where the dam is located and an effusion process.
4. The river hydrodynamic water quality coupling model and the construction method thereof according to claim 1 are characterized in that: the input data of the two-dimensional hydrodynamic water quality model in the third step comprise control data of model operation, model initial condition data and model boundary condition data; the control data comprises the initial operation time of the model and the model operation step length; the initial data comprises initial water levels, flow rates, COD (mg/L), TN (mg/L), TP (mg/L) and ammonia nitrogen (mg/L) concentrations of all computational grid units of the two-dimensional model; the pollutant boundary data comprise wastewater flow, COD (mg/L), TN (mg/L), TP (mg/L) and ammonia nitrogen (mg/L) concentration which are directly merged into a one-dimensional model related calculation grid unit; the water level boundary data comprises a water level change process of a downstream boundary grid of model operation; the gate station scheduling data comprises a gate station, a time-varying process of the water level of a grid where the dam is located and an effusion process.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117091997A (en) * | 2023-10-13 | 2023-11-21 | 四川省生态环境科学研究院 | Method and device for directly measuring longitudinal dynamic dispersion coefficient of river colloid |
| CN117892983A (en) * | 2024-03-14 | 2024-04-16 | 生态环境部华南环境科学研究所(生态环境部生态环境应急研究所) | Method and system for determining offshore area land pollution load distribution |
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- 2022-12-28 CN CN202211697883.7A patent/CN115758944A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117091997A (en) * | 2023-10-13 | 2023-11-21 | 四川省生态环境科学研究院 | Method and device for directly measuring longitudinal dynamic dispersion coefficient of river colloid |
| CN117091997B (en) * | 2023-10-13 | 2023-12-22 | 四川省生态环境科学研究院 | Method and device for directly measuring longitudinal dynamic dispersion coefficient of river colloid |
| CN117892983A (en) * | 2024-03-14 | 2024-04-16 | 生态环境部华南环境科学研究所(生态环境部生态环境应急研究所) | Method and system for determining offshore area land pollution load distribution |
| CN117892983B (en) * | 2024-03-14 | 2024-05-28 | 生态环境部华南环境科学研究所(生态环境部生态环境应急研究所) | Method and system for determining offshore area land pollution load distribution |
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