CN112580230B - Reservoir water temperature structure analysis method - Google Patents

Reservoir water temperature structure analysis method Download PDF

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CN112580230B
CN112580230B CN202011263165.XA CN202011263165A CN112580230B CN 112580230 B CN112580230 B CN 112580230B CN 202011263165 A CN202011263165 A CN 202011263165A CN 112580230 B CN112580230 B CN 112580230B
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curtain wall
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reservoir
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黄膺翰
刘黄诚
白治军
左磊颖
彭忠献
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PowerChina Zhongnan Engineering Corp Ltd
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Abstract

A reservoir water temperature structure analysis method comprises the following steps: s1, acquiring annual daily change data of the top elevation of the water-proof curtain wall, and converting the annual daily change data of the top elevation of the water-proof curtain wall into annual daily change data of grid numbers in a water temperature model; s2, inputting the annual daily change data of the grid numbers into a water temperature model, and performing daily water temperature structural analysis; s3, when the elevation of the top of the next-day water-resisting curtain wall is inconsistent with the elevation of the top of the current-day water-resisting curtain wall, interrupting the analysis, modifying the downstream side grid boundary of the blocking range grid of the next-day water-resisting curtain wall into a non-water-flowing boundary, setting the rest grids as water-flowing boundaries, and continuing the analysis. Due to the adoption of the technical scheme, compared with the prior art, the water temperature model can be used for automatically adjusting the top elevation of the water-separating curtain wall when the water temperature model is used for analyzing the water temperature structure of the reservoir, so that the water-separating curtain wall can be lifted along with the change of the water level, and further, the calculation error is reduced.

Description

Reservoir water temperature structure analysis method
Technical Field
The invention relates to the field of data processing methods, in particular to a reservoir water temperature structure analysis method.
Background
The high dam reservoir is easy to form the water temperature layering phenomenon of the reservoir in spring and summer, the water body with higher water temperature is positioned at the upper layer, and the water body with lower temperature is positioned at the lower layer. The water intake of the power station has multiple elevations and is low, and the water temperature is low-temperature water, so that the problem of discharging the low-temperature water in spring and summer is caused. The discharge of low-temperature water in spring and summer of the power station will affect the fish reproduction and crop growth of downstream riverways, and cause serious ecological impact.
The water-resisting curtain wall is one of engineering measures for raising the temperature of the discharged water of the power station, and the principle is that a water-resisting curtain wall positioned under water is built at the upstream of a water intake to block low-temperature water at the bottom layer, so that water with higher temperature at the upper layer passes through the top end of the curtain wall and enters a water inlet of the power station, and the purpose of raising the temperature of the discharged water of the power station is achieved.
When the water-proof curtain wall is designed, firstly, CE-QUAL-W2 software is used for establishing a full-reservoir and full-year-scale width average vertical-surface two-dimensional reservoir water temperature model, and then the change of the water temperature structure of the reservoir in each month after the water-proof curtain wall is implemented, the discharged water temperature and the water temperature improvement effect of the curtain wall are analyzed.
The water-proof curtain wall is a flexible structure, and the shape of the water-proof curtain wall can be changed along with the change of water level. That is, the top of the curtain wall is lifted with the rise and fall of the water level. However, all simulation software for establishing a full-reservoir width average vertical plane two-dimensional water temperature model in the current industry does not have a full-reservoir and full-year-scale reservoir water temperature simulation function with a variable-form and thin-wall blocking structure. In other words, the top elevation of the water-proof curtain wall cannot be automatically adjusted by the existing software in the calculation process so that the top elevation of the water-proof curtain wall can be lifted along with the change of the water level, the variation of the water level of the high dam reservoir is large and exceeds 50m, the variation of the top elevation of the curtain wall is close to 50m, the great variation is ignored by the existing calculation software in the calculation process, and the top elevation of the curtain wall is set as a fixed value, so that the calculation error is large.
Research and design of water-proof curtain walls, and the leading-edge field of data low-temperature water treatment industry. However, the occurrence of the problems seriously restricts the design level of the industry on the water-resisting curtain wall and limits the research depth of the water-resisting curtain wall, so that a reservoir water temperature structure analysis method considering the form change of the water-resisting curtain wall is urgently needed.
Disclosure of Invention
In order to solve the problem that the calculation error is large because the height of the top of the curtain wall is set as a fixed value in the calculation process of the existing calculation software in the background art, the invention provides a reservoir water temperature structure analysis method, and the specific technical scheme is as follows.
A reservoir water temperature structure analysis method comprises the following steps:
s1, acquiring annual daily change data of the top elevation of the water-proof curtain wall, and converting the annual daily change data of the top elevation of the water-proof curtain wall into annual daily change data of grid numbers in the water temperature model;
s2, inputting the annual daily change data of the grid numbers into a water temperature model, and performing daily water temperature structural analysis;
s3, when the elevation of the top of the next-day waterproof curtain wall is not consistent with the elevation of the top of the current-day waterproof curtain wall, interrupting the analysis, modifying the downstream side grid boundary of the blocking range grid of the next-day waterproof curtain wall into a non-water-passing boundary, setting the rest grids as water-passing boundaries, and continuing the analysis; the grid in the blocking range of the water-resisting curtain wall is a grid from the grid corresponding to the grid number corresponding to the elevation of the top of the water-resisting curtain wall to the grid on the upper layer of the grid corresponding to the grid number of the bottom of the riverbed.
The water temperature model is a width average vertical plane two-dimensional full-reservoir water temperature model. Reference documents: luohuang, li\32704, lao sanguing, "application of CE-QUAL-W2 model in the simulation of water temperature in three gorges reservoirs", china environmental and ecological hydraulics (2012), china water conservancy and hydropower press.
According to the method, the annual daily change data of the top elevation of the waterproof curtain wall are represented through the grid numbers in the existing model (the width average vertical surface two-dimensional full-warehouse water temperature model), so that the model can simulate the change of the top elevation of the curtain wall, and the analysis result is more accurate. When the top elevation of the waterproof curtain wall is converted into grid numbers in the existing model (width average vertical plane two-dimensional full-warehouse water temperature model), each grid number corresponds to an elevation interval, for example, No. 61 grid corresponds to 171 m-172 m, and No. 62 grid corresponds to 170 m-171 m. When set to not exceed the water boundary, the model does not allow water to flow in or out of the mesh boundary during computation. Therefore, when the top elevation of the water-proof curtain wall changes, the grid boundary at the downstream side of the blocking range grid of the water-proof curtain wall is modified into a non-water-passing boundary, and the rest of the grid boundaries are set as water-passing boundaries, so that the top elevation of the water-proof curtain wall can be automatically adjusted by simulation software in the calculation process, the top elevation of the water-proof curtain wall can be lifted along with the change of the water level, and further calculation errors are reduced.
Specifically, the step of acquiring annual daily change data of the elevation of the top of the water-proof curtain wall specifically comprises the following steps:
s11, acquiring annual daily change data of the reservoir water level by using the water temperature model;
and S12, subtracting the annual daily change data of the overflow height of the top of the water-proof curtain wall from the annual daily change data of the reservoir water level to obtain the annual daily change data of the top elevation of the water-proof curtain wall.
The top overflowing height of the water-resisting curtain wall is the distance from the top end of the water-retaining structure of the water-resisting curtain wall to the water surface. Therefore, the annual daily change data of the elevation of the top of the waterproof curtain wall can be calculated through the method.
Specifically, the step S11 specifically includes: and (3) taking meteorological data and reservoir scheduling data of a certain year as input, performing multiple-cycle analysis and calculation by using a water temperature model, and outputting annual daily change data of the reservoir water level of the last analysis and calculation.
The multiple analysis calculation is a multiple circulation simulation analysis calculation of the same year data, for example, when three years of analysis calculation is needed, three times of simulation analysis calculation are performed on one year of data circulation.
Preferably, after step S1 and before step S2, the method further comprises the following steps:
selecting any day as a calculation initial day from the annual daily change data of the reservoir water level, and acquiring reservoir water temperature distribution data of the initial day;
and modifying the downstream side grid boundary of the blocking range grid of the water-resisting curtain wall at the initial day into a non-water-flowing boundary, and adjusting the area of the bottom grid of the section of the water-resisting curtain wall to be consistent with the bottom water flowing area.
Preferably, the reservoir water temperature distribution data of the initial day is the reservoir water temperature distribution data of the last day in the annual daily change data of the reservoir water level. So as to ensure that the water temperature distribution of the initial reservoir conforms to the reality.
Preferably, the step of adjusting the area of the bottom grid of the section of the water-resisting curtain wall to be consistent with the flow area at the bottom specifically comprises:
dividing the overflowing area at the bottom of the water-resisting curtain wall by the thickness of the grid in the water temperature model, and calculating the width of the grid;
and adjusting the grid width at the bottom of the section of the water-resisting curtain wall to the grid width.
The flow area of the bottom of the water-resisting curtain wall can be estimated by adopting a triangular area calculation formula. Therefore, the leakage amount of low-temperature water at the bottom of the water-proof curtain wall is close to the actual condition in the simulation calculation process.
Preferably, the S11 further includes the following steps: and (5) correcting the terrain of the section where the waterproof curtain wall is located, and correcting the power generation flow of the power station. The invention relates to a terrain correction method, in particular to a terrain correction method of a two-dimensional model of a width average vertical surface. The power station generated flow correction method refers to the correction method of the boundary condition of the lower discharge flow of the water temperature model power station in Chinese invention patent CN 109933892A. Before analysis and calculation, the terrain of the section where the water-resisting curtain wall is located is corrected, the power generation flow of the power station is corrected, and calculation errors can be further reduced.
Due to the adoption of the technical scheme, compared with the prior art, the water temperature model can be used for automatically adjusting the top elevation of the water-separating curtain wall when the water temperature model is used for analyzing the water temperature structure of the reservoir, so that the water-separating curtain wall can be lifted along with the change of the water level, and further the calculation error is reduced; numerical simulation calculation of the form change of the water-resisting curtain wall in the width-average vertical-surface two-dimensional full-warehouse water temperature model can be realized without modifying a numerical simulation calculation software source code, so that designers can analyze the influence of the water temperature structure of the reservoir of the water-resisting curtain wall, know the operation mechanism of the water-resisting curtain wall and provide a solid foundation for the subsequent optimization design of the water-resisting curtain wall; the technical idea is simple and clear, and programming is easy to realize. For non-open-source computing software, external software can be compiled based on the method, and numerical simulation computation of morphological changes of the water-proof curtain wall in the width-average vertical-surface two-dimensional full-warehouse water temperature model is achieved.
Drawings
FIG. 1 is a schematic diagram of the grid trend of a full-reservoir water temperature model in a width-average elevation two-dimensional full-reservoir water temperature model;
FIG. 2 is a schematic diagram of a grid elevation of a full reservoir water temperature model in a width-averaged elevation two-dimensional full reservoir water temperature model;
FIG. 3 is data of annual daily changes in reservoir water level in the third year;
FIG. 4 is data of annual daily change of the top overflow height of the water-proof curtain wall;
FIG. 5 is data of annual daily change in elevation at the top of the water-proof curtain wall;
FIG. 6 is year-by-day change data of elevation grid numbers at the top of the water-proof curtain wall;
FIG. 7 is a water temperature distribution diagram (1 month) of a reservoir in front of a dam when a water-resisting curtain wall is arranged and a water-resisting curtain wall is not arranged;
FIG. 8 is a flow chart of the invention for modeling and analyzing water temperature of reservoir by using the new modeled model.
Detailed Description
The present invention is described in further detail below with reference to the attached drawing figures.
The embodiment of the method of the invention relies on the low-temperature water treatment project of a Guizhou clear water river three-plate stream power station. The three-plate stream power station is the second stage of the Yuan water main flow 15 cascade power stations and has the annual regulation performance that the normal water storage level of a reservoir is 475.00m, the maximum dam height is 185.5m, and the water inlet bottom plate height of a water diversion power generation system is 408.00 m. After the reservoir stores water, the reservoir area presents an obvious temperature stratification phenomenon, and the water temperature at the bottom of the reservoir is only 9.6 ℃, so that the discharged water temperature is lower than that under the natural condition in spring and summer, and the adverse effect is generated on the spawning propagation of downstream fishes. In order to enable the fishes to have proper water temperature conditions in the spawning period, a blocking device is required to be built at the upstream of a water inlet of the power station to improve the water temperature of the three-plate stream power station discharged downwards. For carrying out optimal design to the water proof curtain, understand the reservoir temperature structure after the water proof curtain is built, need carry out reservoir temperature structure influence analysis to the water proof curtain.
As shown in fig. 8, a reservoir water temperature structure analysis method includes the following steps:
step 1, establishing a width average elevation two-dimensional full-reservoir water temperature model by using CE-QUANL-W2 software, correcting the terrain of a section where a water-proof curtain wall is located, correcting the power generation flow, and carrying out three-year simulation analysis calculation; the flow area of the bottom of the curtain wall is 16m3The thickness of the grid is 1m, the number of the section where the curtain wall is located is 118, and the model grid is shown in figures 1 and 2;
step 2, extracting annual daily change data of the water level of the reservoir in the third year from the simulation data output in the step 1; as shown in fig. 3;
step 3, designing and scheduling schemes (the top overflow height change data of the water-proof curtain wall) of the water-proof curtain wall are as follows: 1 day in 4 months to 1 day in 6 months, adjusting the top overflow height of the waterproof curtain wall to be 50m to be 15m, and adjusting the speed to be 3 m/day; 6 months and 1 day to 4 months and 1 day in the next year, the top overflow height of the water-proof curtain wall is adjusted to 50m at the speed of 1 m/day. The corresponding daily change data of the top overflowing height are shown in figure 4, the daily change data of the top elevation of the waterproof curtain wall all year round are obtained by subtracting the corresponding top overflowing height from the daily water level, and the figure 5 is shown in figure 5;
and 4, enabling the top elevation of the water-proof curtain wall to correspond to the grid number in the two-dimensional full-warehouse water temperature model with the average width vertical surface one by one to obtain annual daily change data (shown in figure 6) of the grid number of the top elevation of the water-proof curtain wall, and inputting the data into the water temperature model.
Step 5, extracting water temperature distribution data of the reservoir at the last day from the annual daily change data of the water level of the reservoir at the third year, wherein the water temperature distribution data is specifically an output file rso1095.opt of CE-QUAL-W2;
step 6, the modified file name of the rso1095.opt file output in the step 5 is rsi.npt and is used as an initial water temperature field;
step 7, enabling the flow area of the bottom of the curtain wall to be 16m3Dividing by the thickness of the grid to be 1m to obtain the width of the grid to be 16m, and adjusting the width of the grid at the bottom of the bth.npt inner curtain wall section (section No. 118) to be 16 m;
step 8, numbering the top elevation grids of the curtain wall on the first day (initial day) as 66, and numbering the bottom grids of the riverbed as 173, so that the downstream side boundaries of grids 66-172 of the section (section 118) of the curtain wall are set as non-water boundaries;
step 9, setting the total days to be 1095 days, starting simulation calculation, and performing simulation calculation of the reservoir flow field and the reservoir temperature field day by day;
step 10, the curtain wall changes in form on day 8, so that data of a flow field and a temperature field on day 7 are output to obtain an rso8.opt file, and then calculation is interrupted;
step 11, making a model initial field: modifying the rso8.opt file output in the step 10 into an rsi. npt file;
step 12, setting the downstream side boundary of No. 67-172 grids of the section (No. 118) of the curtain wall as a non-water-passing boundary, and setting the downstream side boundary of No. 2-66 grids (namely other grids) as a water-passing boundary;
step 13, setting the starting time of model calculation as 8 th day, and continuing calculation;
and step 14, calculating until day 1095, finishing calculation, outputting a calculation result, and obtaining the water temperature distribution of the reservoir in front of each month dam, wherein a comparison graph in the case of building a curtain wall is shown in fig. 7 (only a comparison graph in month 1 is shown). As can be seen from the figure, after the water-proof curtain wall is implemented, the water temperature structure of the reservoir is still in a stable layered type, but the water temperature at the bottom of the reservoir increases in a variable amplitude, the reservoir moves on a thermocline in spring and summer, the water temperature of the high-temperature water body at the upper layer in autumn and winter decreases, and the water temperature structure changes greatly.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (6)

1. A reservoir water temperature structure analysis method is characterized by comprising the following steps:
s1, acquiring annual daily change data of the top elevation of the water-proof curtain wall, and converting the annual daily change data of the top elevation of the water-proof curtain wall into annual daily change data of grid numbers in the water temperature model; the step of acquiring annual daily change data of the elevation of the top of the waterproof curtain wall specifically comprises the following steps: s11, acquiring annual daily change data of the reservoir water level by using the water temperature model; s12, subtracting annual daily change data of the overflow height of the top of the water-proof curtain wall from annual daily change data of the water level of the reservoir to obtain annual daily change data of the top elevation of the water-proof curtain wall;
s2, inputting the annual daily change data of the grid numbers into a water temperature model, and performing daily water temperature structural analysis;
s3, when the elevation of the top of the next-day waterproof curtain wall is not consistent with the elevation of the top of the current-day waterproof curtain wall, interrupting the analysis, modifying the downstream side grid boundary of the blocking range grid of the next-day waterproof curtain wall into a non-water-passing boundary, setting the rest grids as water-passing boundaries, and continuing the analysis; the grid in the blocking range of the water-resisting curtain wall is a grid from the grid corresponding to the grid number corresponding to the elevation of the top of the water-resisting curtain wall to the grid on the upper layer of the grid corresponding to the grid number of the bottom of the riverbed.
2. The method for analyzing the water temperature structure of a reservoir according to claim 1, wherein said step S11 specifically comprises: and (3) taking meteorological data and reservoir scheduling data of a certain year as input, performing multiple-cycle analysis and calculation by using a water temperature model, and outputting annual daily change data of the reservoir water level of the last analysis and calculation.
3. The method for analyzing water temperature structure of reservoir as claimed in claim 1 or 2, further comprising the steps of, after step S1 and before step S2:
selecting any day as a calculation initial day from the annual daily change data of the reservoir water level, and acquiring reservoir water temperature distribution data of the initial day;
and modifying the downstream side grid boundary of the blocking range grid of the water-resisting curtain wall at the initial day into a non-water-flowing boundary, and adjusting the area of the bottom grid of the section of the water-resisting curtain wall to be consistent with the bottom water flowing area.
4. The method of analyzing a water temperature structure of a reservoir according to claim 3, wherein: the reservoir water temperature distribution data of the initial day is reservoir water temperature distribution data of the last day in the annual daily change data of the reservoir water level.
5. The method of analyzing a water temperature structure of a reservoir according to claim 3, wherein: the step of adjusting the grid area at the bottom of the section of the water-resisting curtain wall to be consistent with the flow area at the bottom specifically comprises the following steps:
dividing the overflowing area at the bottom of the water-resisting curtain wall by the thickness of the grid in the water temperature model, and calculating the width of the grid;
and adjusting the grid width of the bottom of the section of the water-resisting curtain wall to the grid width.
6. The method for analyzing a water temperature structure of a reservoir as claimed in claim 3, wherein said step of S11 is preceded by the steps of: and (5) correcting the terrain of the section where the water-resisting curtain wall is located, and correcting the power generation flow.
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