CN111061985B - Method and device for calculating regulated runoff of reservoir in data-free area and storage medium - Google Patents
Method and device for calculating regulated runoff of reservoir in data-free area and storage medium Download PDFInfo
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Abstract
The application relates to a calculation method and device for reservoir regulated runoff, computer equipment and a storage medium, wherein the inflow rate of a target reservoir in a target time period is determined by utilizing a pre-constructed simulation model; calculating the water storage variation of a target reservoir in a target time period; and calculating to obtain the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variable quantity and the scheduling rule of the target reservoir. The method comprises the steps of simulating the inflow rate of the target reservoir by using a constructed simulation model, and calculating the water storage variation of the target reservoir by using some pre-collected data; finally, the outlet flow of the target reservoir in the target time period is calculated and obtained based on the inlet flow, the water storage variable quantity and the scheduling rule of the target reservoir.
Description
Technical Field
The application relates to the technical field of reservoir regulated runoff, in particular to a method and a device for calculating reservoir regulated runoff in a data-free area, computer equipment and a storage medium.
Background
In the past half century, many dams and reservoirs have been constructed globally for flood risk management, domestic water, hydroelectric power generation, irrigation, shipping, etc.; reservoir scheduling will become more important as population growth and climate change will cause extreme weather phenomena to appear more frequently. Runoff is an important variable in water circulation and is a key point of attention of water resource managers, and therefore, understanding of the influence of dams and reservoirs on runoff is of great importance to water resource management.
However, in the conventional technology, manual observation is often required in real time to obtain reservoir outflow data, but most of the reservoir outflow data are confidential data and cannot be applied to scientific research on hydrology and water resource management. Therefore, an accurate calculation method for the regulated runoff of the reservoir is needed.
Disclosure of Invention
Based on this, it is necessary to solve the above technical problems, and the present application provides a method and an apparatus for calculating regulated runoff of a reservoir in a data-free region, a computer device, and a storage medium, which can calculate regulated runoff of a target reservoir, that is, outflow rate, more accurately in the absence of data.
A calculation method for reservoir regulated runoff in a data-free area comprises the following steps:
determining the inflow rate of the target reservoir by utilizing a pre-constructed simulation model;
calculating the water storage variation of the target reservoir in the target time period;
and calculating the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variation and the scheduling rule of the target reservoir.
In one embodiment, the calculating the variation of the stored water of the target reservoir in the target time period includes:
acquiring the average water surface area of the water surface of the target reservoir in the target time period based on the optical remote sensing image;
acquiring a plurality of water level values of the target reservoir in the target time period by using a height measurement satellite;
and calculating to obtain the water storage variation of the target reservoir in the target time period by using the average water surface area and the plurality of water level values.
In one embodiment, the calculating, by using the average water surface area and the plurality of water level values, a variation in stored water of the target reservoir in the target time period includes:
deleting abnormal values of the water level values to obtain a plurality of candidate water level values;
determining a target water level value of the target reservoir by utilizing the candidate water level values;
and calculating to obtain the water storage variation of the target reservoir in the target time period by using the average water surface area and the target water level value.
In one embodiment, before acquiring a plurality of water level values of the target reservoir within the target time period using an altimetry satellite, the method comprises:
acquiring the maximum water surface area of the water surface of the target reservoir in the target time period based on the optical remote sensing image;
the collecting a plurality of water level values of the target reservoir in the target time period by using the height measurement satellite comprises:
and acquiring a plurality of water level values corresponding to the plurality of acquisition points in the range determined by the maximum water surface area in the target time period by using the height measurement satellite.
In one embodiment, when the target reservoir is a single reservoir, the calculating, by using the average water surface area and the target water level value, a variation of stored water of the target reservoir in the target time period includes:
acquiring the basic water level value of the target reservoir in a preset time period before the target time period;
taking the target water level value as a subtracted number and the basic water level value as a subtracted number, carrying out subtraction calculation on the target water level value and the basic water level value, and taking an obtained difference value as a water level change value of the target reservoir in the target time period;
and multiplying the average water surface area and the water level change value, and taking the obtained product as the water storage change quantity of the target reservoir in the target time period.
In one embodiment, when the target reservoir is a cascade reservoir, the cascade reservoir includes a plurality of sub-target reservoirs;
the calculating the water storage variation of the target reservoir in the target time period by using the average water surface area and the target water level value comprises the following steps:
calculating the variation of sub-stored water of the ith sub-target reservoir in the cascade reservoir in i preset time periods before the target time period; wherein the minimum value of i is 1, and the maximum value of i is the number of the sub-target reservoirs in the target reservoir;
and summing the variation of the sub-impounded water of each sub-target reservoir, and taking the obtained sum as the variation of the impounded water of the target reservoir in the target time period.
In one embodiment, the calculating the variation of the sub-impounded water of the ith sub-target reservoir in the cascade reservoir in i preset time periods before the target time period includes:
aiming at the ith sub-target reservoir, acquiring a plurality of sub-water level values of the ith sub-target reservoir in i preset time periods before the target time period;
calculating the sub-water level change value of the ith sub-target reservoir in i preset time periods before the target time period by using the plurality of sub-water level values of the ith sub-target reservoir;
and multiplying the average water surface area of the ith sub-target reservoir and the sub-water level change value, and taking the obtained product as the variation of the sub-stored water of the ith sub-target reservoir in i preset time periods before the target time period.
In one embodiment, the calculating the output flow rate of the target reservoir in the target time period based on the input flow rate, the variation of stored water, and the scheduling rule of the target reservoir includes:
when the water storage variation meets the scheduling rule, calculating the outlet flow of the target reservoir in the target time period according to the following formula:
wherein Q isoutRepresenting the outflow of the target reservoir; qinRepresenting the inflow of the target reservoir; Δ S represents the change in water retentionAn amount; t denotes a target period.
In one embodiment, the target time period comprises a target day; the calculation method comprises the following steps:
determining the daily inflow rate of the target reservoir in a target day by using a pre-constructed simulation model;
calculating daily water storage variation of the target reservoir in a target day;
and calculating the sunrise flow of the target reservoir in the target day based on the daily inflow, the daily storage variation and the scheduling rule of the target reservoir.
A computing device for regulated runoff of a reservoir, the computing device comprising:
the determining module is used for determining the inflow rate of the target reservoir in a target time period by utilizing a pre-constructed simulation model;
the first calculation module is used for calculating the water storage variation of the target reservoir in the target time period;
and the second calculation module is used for calculating and obtaining the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variation and the scheduling rule of the target reservoir.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
determining the inflow rate of the target reservoir in a target time period by utilizing a pre-constructed simulation model;
calculating the water storage variation of the target reservoir in the target time period;
and calculating the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variation and the scheduling rule of the target reservoir.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
determining the inflow rate of the target reservoir in a target time period by utilizing a pre-constructed simulation model;
calculating the water storage variation of the target reservoir in the target time period;
and calculating the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variation and the scheduling rule of the target reservoir.
The calculating method, the calculating device, the computer equipment and the storage medium for the regulated runoff of the reservoir in the data-free area determine the inflow rate of the target reservoir in the target time period by utilizing a pre-constructed simulation model; calculating the water storage variation of a target reservoir in a target time period; and calculating to obtain the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variable quantity and the scheduling rule of the target reservoir. In the method, the inflow rate of the target reservoir is measured by using a constructed simulation model (a hydrological model simulates natural runoff of an upstream watershed of the target reservoir), and the water storage variation of the target reservoir is calculated by using some pre-collected data; finally, based on the inlet flow, the stored water variable quantity and the scheduling rule of the target reservoir, calculating to obtain the outlet flow of the target reservoir in the target time period (namely the runoff of the downstream of the target reservoir in the target time period), therefore, the calculating method in the application can further calculate to obtain the outlet flow by utilizing the real inlet flow and the calculated stored water variable quantity on the basis of ensuring that the scheduling rule of the target reservoir is met, the accuracy of the outlet flow is ensured to a certain extent, and the method is suitable for regions without little data; in addition, the manual measurement is not needed, and time and labor are saved.
Drawings
FIG. 1 is an environmental diagram illustrating an embodiment of a method for calculating regulated runoff of a reservoir in a data-free region;
FIG. 2 is a schematic flow chart illustrating a method for calculating regulated runoff of a reservoir in a data-free region according to an embodiment;
FIG. 3 is a schematic flow chart illustrating a variation of stored water in a target reservoir in a target time period in the method for calculating regulated runoff of a reservoir in a data-free region according to an embodiment;
FIG. 4 is a schematic flow chart illustrating a calculation of the variation of the stored water of the target reservoir in the target time period by using the average water surface area and the target water level value in the method for calculating the regulated runoff of the reservoir in the non-data area according to the embodiment;
FIG. 5 is a schematic flow chart illustrating another method for calculating regulated runoff of a reservoir in a data-free area according to an embodiment, in which the average water surface area and the target water level value are used to calculate the variation of the stored water of the target reservoir in the target time period;
FIG. 6 is a schematic flow chart illustrating a process of calculating sub-impounded water variation of the ith sub-target reservoir in the cascade reservoir in i preset time periods before the target time period in the method for calculating regulated runoff of a reservoir in a data-free area according to an embodiment;
FIG. 7 is a block diagram of a computing device for regulating runoff from a reservoir in one embodiment;
FIG. 8 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The calculation method for the regulated runoff of the reservoir in the data-free area can be applied to the application environment shown in figure 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a method for calculating regulated runoff of a reservoir in a data-free area is provided, which is illustrated by applying the method to a terminal in fig. 1, and comprises the following steps:
step 201, determining the inflow rate of the target reservoir in the target time period by using a pre-constructed simulation model.
In specific implementation, a simulation model (hydrological model) can be constructed in advance, the simulation model is located at the upstream of the target reservoir and simulates inflow of the reservoir in a natural state, and upstream runoff of the simulation reservoir flows into the target reservoir.
Of course, in practical application, when the inflow rate of the target reservoir in the target time period can be actually measured, the actually measured inflow rate is used as the inflow rate of the target reservoir, and the building of the simulation model (that is, the outflow rate of the simulation model can be determined) can also be realized; the embodiment of the present application is not particularly limited to this. When the target time period is a time period greater than 1 day, the inflow rate is a daily scale time sequence; when the target time period is 1 day, the inflow rate is one value.
The target time period can include A hours, B days, C weeks and the like, and the inflow rate, the water storage variation and the outflow rate of the target reservoir in any time period can be calculated by using the calculation method of the embodiment of the application.
Step 202, calculating the water storage variation of the target reservoir in the target time period.
In specific implementation, the optical remote sensing image corresponding to the target reservoir can be acquired in real time, or according to a preset period, or after a preset instruction is received, and the average water surface area of the target reservoir in the preset period of the target time period is obtained based on the acquired optical remote sensing image; and measuring the target water level value of the target reservoir by using the altitude measurement satellite.
After the average water surface area and the target water level value of the target reservoir are obtained, the average water surface area and the target water level value are used for calculation, and the water storage variation of the target reservoir in the target time period is obtained.
And 203, calculating to obtain the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variation and the scheduling rule of the target reservoir.
The storage variation of the target reservoir in the target time period is directly determined by the inlet flow and the outlet flow of the target reservoir, and conversely, the outlet flow of the target reservoir can be calculated after the inlet flow of the target reservoir and the storage variation of the target reservoir in the target time period are determined.
In specific implementation, the inflow rate of the target reservoir is determined through step 201, and after the storage variation of the target reservoir in the target time period is calculated through step 202, the outflow rate of the target reservoir in the target time period is calculated on the basis that the target reservoir meets the scheduling rule.
In the embodiment of the application, the inflow rate of the target reservoir is measured by using the constructed simulation model (hydrologic model simulating the upstream watershed of the target reservoir), and the water storage variation of the target reservoir is calculated by using some pre-collected data; finally, the outlet flow of the target reservoir in the target time period (namely the runoff of the downstream of the target reservoir in the target time period) is calculated and obtained based on the inlet flow, the water storage variable quantity and the scheduling rule of the target reservoir, so that the calculation method in the embodiment of the application does not need manual measurement, the outlet flow is further calculated and obtained by utilizing the real inlet flow and the calculated water storage variable quantity on the basis of ensuring that the scheduling rule of the target reservoir is met, the accuracy of the outlet flow is ensured to a certain extent, and the method is suitable for regions without little data; in addition, the manual measurement is not needed, and time and labor are saved.
Specifically, the variation of the stored water of the target reservoir in the target time period may be calculated according to the method shown in fig. 3, where the method specifically includes the following steps:
step 301, acquiring the average water surface area of the water surface of the target reservoir in the target time period based on the optical remote sensing image;
step 302, collecting a plurality of water level values of a target reservoir in a target time period by using a height measurement satellite;
and step 303, calculating to obtain the water storage variation of the target reservoir in the target time period by using the average water surface area and the plurality of water level values.
Here, the space sensor or the remote sensing satellite collects the ground feature information on the earth in real time and generates an optical remote sensing image. Because the generated optical remote sensing images are more, the hourly flow, the daily flow or the weekly flow of the target reservoir does not need to be calculated, and in order to avoid the problems of resource waste, storage space occupation and the like caused by obtaining the optical remote sensing images corresponding to the target reservoir in real time, preferably, the optical remote sensing images of the target reservoir are obtained after the preset instructions are received. The preset instruction can comprise identification information, coordinate information, a target time period and the like of the target reservoir.
After the optical remote sensing image corresponding to the target reservoir in the target time period is obtained, image recognition and data analysis are carried out on the obtained optical remote sensing image, when a plurality of preset moments in the target time period are obtained through calculation, a plurality of water surface areas of the target reservoir are obtained, the average water surface area of the target reservoir is calculated through the plurality of water surface areas, and the average water surface area is used as the water surface area of the target reservoir in the target time period. Of course, the average water surface area of the target time period may also be corrected by using the average water surface area M days before the target time period and the average water surface area M days after the target time period, so as to ensure the accuracy of the average water surface area of the target time period. It is worth to be noted that, in a reservoir with a small change in water surface area, the average annual water surface area of the reservoir can be directly used as the average water surface area of the reservoir in a target time period.
Preferably, the height measurement satellite is used for acquiring a plurality of water level values of the target reservoir in the target time period, namely acquiring the water level values of a plurality of acquisition points (intersection points of the satellite track and the water surface of the reservoir) in the target reservoir. In order to ensure the accuracy of the acquired target water level value of the target reservoir, the maximum water surface area of the water surface of the target reservoir in the target time period is calculated and obtained based on the optical remote sensing image before a plurality of water level values of the target reservoir in the target time period are acquired; and acquiring a plurality of water level values corresponding to the plurality of acquisition points within a range determined by the maximum water surface area within a target time period by using the height measurement satellite. Specifically, when the height measurement satellite acquires the water level value, a plurality of acquisition points are determined according to the maximum water surface area, waveform resetting is carried out on the plurality of acquisition points by utilizing a combined 50% threshold method and an Ice-1 waveform resetting algorithm, and the water level value of each acquisition point is obtained through calculation. After a plurality of water level values corresponding to the plurality of acquired points are acquired, deleting abnormal values of the plurality of water level values, and carrying out moving average denoising to obtain a plurality of candidate water level values; further determining a target water level value of the target reservoir by utilizing a plurality of candidate water level values; it should be noted that, in practical application, the water level value is collected according to a certain period, and therefore, after the abnormal value deletion and/or the moving average denoising is performed on a plurality of water level values, the target water level value of the target reservoir can be determined by a linear interpolation method.
After the average water surface area corresponding to the target reservoir in the target time period and the target water level value of the target reservoir in the target time period are obtained, the water storage variation of the target reservoir in the target time period is calculated and obtained by utilizing the average water surface area and the target water level value.
In specific implementation, the target reservoir may be a single reservoir or a cascade reservoir, and then, the variation of the stored water of the target reservoir in the target time period is calculated according to the two situations.
In the first case: when the target reservoir is a single reservoir, calculating to obtain the water storage variation of the target reservoir in the target time period by using the average water surface area and the target water level value according to the method shown in fig. 4; the method comprises the following specific steps:
step 401, acquiring a basic water level value of a target reservoir in a preset time period before a target time period;
step 402, taking the target water level value as a subtracted number and the basic water level value as a subtracted number, carrying out subtraction calculation on the target water level value and the basic water level value, and taking the obtained difference value as a water level change value of a target reservoir in a target time period;
and 403, performing multiplication calculation on the average water surface area and the water level change value, and taking the obtained product as the water storage change quantity of the target reservoir in the target time period.
In specific implementation, the basic water level value of the target reservoir in a preset time period before the target time period is obtained according to the method for obtaining the target water level value of the target reservoir in the target time period.
And calculating the water level change value of the target reservoir in the target time period by using the target water level value and the basic water level value of the target reservoir, specifically, taking the target water level value as a subtracted number and the basic water level value as a subtracted number, carrying out subtraction calculation on the target water level value and the basic water level value, and taking the obtained difference value as the water level change value of the target reservoir in the target time period.
And after the water level change value of the target reservoir is obtained, multiplying the average water surface area and the water level change value, and taking the obtained product as the water storage change quantity of the target reservoir in the target time period.
In the second case: and when the target reservoir is a cascade reservoir, the cascade reservoir comprises a plurality of sub-target reservoirs.
The method shown in fig. 5 can be used for calculating the variation of the stored water of the target reservoir in the target time period by using the average water surface area and the target water level value, wherein the method specifically comprises the following steps:
step 501, calculating the variation of sub-stored water of the ith sub-target reservoir in the cascade reservoir in i preset time periods before the target time period; the minimum value of i is 1, and the maximum value of i is the number of the sub target reservoirs in the target reservoir;
and 502, summing the variation of the sub-impounded water of each sub-target reservoir, and taking the obtained sum as the variation of the impounded water of the target reservoir in the target time period.
In the specific implementation, in the process of calculating the variation of the stored water of the target reservoir in the target time period, the variation of the sub-stored water of each sub-target reservoir is calculated first. The target reservoir comprises i sub-target reservoirs, the most upstream sub-target reservoir is the ith sub-target reservoir, and the most downstream sub-target reservoir is the 1 st sub-target reservoir.
Because a time lag effect exists in the process that water flows from the upstream sub-target reservoir to the downstream sub-target reservoir, for example, the water storage capacity of the 1 st reservoir t day changes, the change (namely the change of the water outlet capacity) can be reflected at the water outlet after t1 days, and t1 is the time required by the runoff of the 1 st reservoir to flow to the watershed water outlet. Therefore, when the variation of the sub-stored water of each sub-target reservoir is calculated, the variation of the sub-stored water of the ith sub-target reservoir in the cascade reservoir in i preset time periods before the target time period needs to be calculated.
And after the sub-storage variation of each sub-target reservoir is obtained, summing the sub-storage variation of each sub-target reservoir, and obtaining a sum, namely the storage variation of the target reservoir in the target time period.
Specifically, the sub-impounded water variation of the ith sub-target reservoir in the cascade reservoir in i preset time periods before the target time period is calculated according to the method shown in fig. 6, wherein the method specifically comprises the following steps:
601, aiming at the ith sub-target reservoir, acquiring a plurality of sub-water level values of the ith sub-target reservoir in i preset time periods before a target time period;
step 602, calculating a sub-water level variation value of the ith sub-target reservoir in i preset time periods before a target time period by using a plurality of sub-water level values of the ith sub-target reservoir;
step 603, performing multiplication calculation on the average water surface area and the sub-water level change value of the ith sub-target reservoir, and taking the obtained product as the variation of the sub-stored water of the ith sub-target reservoir in i preset time periods before the target time period.
In specific implementation, referring to the method for acquiring a plurality of sub-water level values of the target reservoir in the first case, a plurality of sub-water level values of the ith sub-target reservoir in i preset time periods before the target time period are acquired; then, calculating the sub-water level change value of the ith sub-target reservoir in i preset time periods before the target time period by using the plurality of sub-water level values of the ith sub-target reservoir; and multiplying the average water surface area and the sub-water level change value of the ith sub-target reservoir, and taking the obtained product as the variation of the sub-stored water of the ith sub-target reservoir in the first i preset time periods of the target time period.
It is worth mentioning that in the embodiment of the present application, the time required for the water in the ith reservoir to flow from the ith reservoir to the (i-1) th reservoir is calculated as 1 preset time period, and in practical application, the time required for the water in the ith reservoir to flow from the ith reservoir to the (i-1) th reservoir may be determined according to the actual size of the reservoir, the water flow speed and the like, so as to ensure the accuracy of the calculated sub-stored water variation of the ith sub-target reservoir.
Specifically, when the output flow of the target reservoir in the target time period is calculated based on the input flow, the storage variation and the scheduling rule of the target reservoir, it is first determined whether the current storage capacity of the target reservoir meets the scheduling rule corresponding to the target reservoir. The dispatching rule corresponding to the target reservoir comprises that the current storage capacity of the target reservoir in the target time period is less than or equal to the total storage capacity of the target reservoir, and the current storage capacity of the target reservoir is greater than or equal to the dead storage capacity of the target reservoir; that is, the amount of variation in the stored water that satisfies the scheduling rule can be used to calculate the outflow rate of the target reservoir in the target time period.
When the water storage variation meets the scheduling rule, calculating the outlet flow of the target reservoir in the target time period according to the following formula:
wherein Q isoutRepresenting the discharge of the target reservoir; qinRepresenting the inflow of the target reservoir; Δ S represents the amount of change in the stored water; t denotes a target period. Qout、QinHas the unit of m3The unit of/S,. DELTA.S is m3And T has the unit of s.
For example, when the target time period is the target day, the sunrise flow rate of the target reservoir in the target day is calculated. Specifically, firstly, determining the daily inflow of a target reservoir in a target day by using a pre-constructed simulation model; then, calculating daily water storage variation of a target reservoir in a target day; and finally, calculating the sunrise flow of the target reservoir in the target day based on the daily inflow, the daily storage variation and the scheduling rule of the target reservoir. When the sunrise flow is calculated, T in the above formula is 86400 s. The value of T is determined by the target time period.
Furthermore, the corresponding scheduling rule of the target reservoir also comprises that the outlet flow of the target reservoir is less than or equal to the safe discharge of the river channel and is greater than or equal to the ecological flow of the river channel; the safe discharge amount of the river channel is 0.5 times of the average inflow amount of many years, and the ecological flow amount of the river channel is 2 times of the average inflow amount of many years. After the outlet flow of the target reservoir is calculated by using the formula, judging whether the calculated outlet flow meets the scheduling rule or not, and if the calculated outlet flow is smaller than the ecological flow of the river channel, discharging according to the ecological flow of the river channel; and if the calculated flow is larger than the safe discharge of the river channel, discharging according to the safe discharge of the river channel.
It should be understood that although the various steps in the flow charts of fig. 2-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-6 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 7, there is provided a computing device for regulating runoff of a reservoir, comprising: module A, module B and module C, wherein:
the determining module 701 is used for determining the inflow rate of the target reservoir in the target time period by using a pre-constructed simulation model;
a first calculating module 702, configured to calculate a water storage variation of a target reservoir within a target time period;
the second calculating module 703 is configured to calculate, based on the inflow rate, the stored water variation amount, and the scheduling rule of the target reservoir, the outflow rate of the target reservoir in the target time period.
In another embodiment, the first calculating module 702, when calculating the variation of the stored water of the target reservoir in the target time period, includes:
acquiring the average water surface area of the water surface of the target reservoir in the target time period based on the optical remote sensing image;
acquiring a plurality of water level values of a target reservoir in a target time period by using a height measurement satellite;
and calculating to obtain the water storage variation of the target reservoir in the target time period by utilizing the average water surface area and the plurality of water level values.
In another embodiment, the first calculating module 702, when calculating the variation of the stored water of the target reservoir in the target time period by using the average water surface area and the plurality of water level values, includes:
deleting abnormal values of the water level values to obtain a plurality of candidate water level values;
determining a target water level value of the target reservoir by utilizing a plurality of candidate water level values;
and calculating to obtain the water storage variation of the target reservoir in the target time period by using the average water surface area and the target water level value.
In another embodiment, the above computing device for regulating runoff of a reservoir further comprises:
an obtaining module 704, configured to obtain a maximum water surface area of a water surface of the target reservoir in the target time period based on the optical remote sensing image;
the first calculation module 702, when acquiring a plurality of water level values of a target reservoir in a target time period by using a height measurement satellite, includes:
and acquiring a plurality of water level values corresponding to the plurality of acquisition points within a range determined by the maximum water surface area within a target time period by using the height measurement satellite.
In another embodiment, when the target reservoir is a single reservoir, the first calculating module 702, when calculating the variation of the stored water of the target reservoir in the target time period by using the average water surface area and the target water level value, includes:
acquiring a basic water level value of a target reservoir in a preset time period before a target time period;
taking the target water level value as a subtracted number and the basic water level value as a subtracted number, carrying out subtraction calculation on the target water level value and the basic water level value, and taking the obtained difference value as a water level change value of a target reservoir in a target time period;
and (4) performing multiplication calculation on the average water surface area and the water level change value, and taking the obtained product as the water storage change quantity of the target reservoir in the target time period.
In another embodiment, when the target reservoir is a cascade reservoir, wherein the cascade reservoir includes a plurality of sub-target reservoirs; the first calculation module 702 includes, when calculating the variation of the stored water of the target reservoir in the target time period by using the average water surface area and the target water level value:
calculating the variation of sub-stored water of the ith sub-target reservoir in the cascade reservoir in i preset time periods before the target time period; the minimum value of i is 1, and the maximum value of i is the number of the sub target reservoirs in the target reservoir;
and summing the variation of the sub-stored water of each sub-target reservoir, and taking the obtained sum as the variation of the stored water of the target reservoir in the target time period.
In another embodiment, the first calculating module 702, when calculating the variation of the sub-impounded water of the ith sub-target reservoir in the cascade reservoir in the i preset time periods before the target time period, includes:
aiming at the ith sub-target reservoir, acquiring a plurality of sub-water level values of the ith sub-target reservoir in i preset time periods before a target time period;
calculating the sub-water level change value of the ith sub-target reservoir in i preset time periods before the target time period by using the plurality of sub-water level values of the ith sub-target reservoir;
and multiplying the average water surface area and the sub-water level change value of the ith sub-target reservoir, and taking the obtained product as the variation of the sub-stored water of the ith sub-target reservoir in the first i preset time periods of the target time period.
In another embodiment, when the second calculating module 703 calculates the outflow rate of the target reservoir in the target time period based on the inflow rate, the variation of the stored water, and the scheduling rule of the target reservoir, the second calculating module includes:
when the water storage variation meets the scheduling rule, calculating the outlet flow of the target reservoir in the target time period according to the following formula:
wherein Q isoutRepresenting the discharge of the target reservoir; qinRepresenting the inflow of the target reservoir; Δ S represents the amount of change in the stored water; t denotes a target period.
In another embodiment, the apparatus further comprises a sunrise flow determination module 705 comprising:
determining the daily inflow of a target reservoir in a target day by using a pre-constructed simulation model;
calculating daily water storage variation of a target reservoir in a target day;
and calculating the sunrise flow of the target reservoir in the target day based on the daily inflow, the daily storage variation and the scheduling rule of the target reservoir.
For specific limitations of the calculating device for the regulated reservoir runoff, reference may be made to the above limitations of the calculating method for the regulated reservoir runoff in the non-material areas, and details are not repeated here. All or part of each module in the computing device for regulating the runoff of the reservoir can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a calculation method of reservoir regulated runoff in a data-free area. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 8 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
determining the inflow rate of a target reservoir in a target time period by utilizing a pre-constructed simulation model;
calculating the water storage variation of a target reservoir in a target time period;
and calculating to obtain the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variable quantity and the scheduling rule of the target reservoir.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
determining the inflow rate of a target reservoir in a target time period by utilizing a pre-constructed simulation model;
calculating the water storage variation of a target reservoir in a target time period;
and calculating to obtain the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variable quantity and the scheduling rule of the target reservoir.
In one embodiment, calculating the variation of the stored water of the target reservoir in the target time period comprises:
acquiring an average water surface area corresponding to a target reservoir in a target time period based on the optical remote sensing image;
acquiring a plurality of water level values of a target reservoir in a target time period by using a height measurement satellite;
and calculating to obtain the water storage variation of the target reservoir in the target time period by utilizing the average water surface area and the plurality of water level values.
In one embodiment, the calculating the variation of the stored water of the target reservoir in the target time period by using the average water surface area and the plurality of water level values includes:
deleting abnormal values of the water level values to obtain a plurality of candidate water level values;
determining a target water level value of the target reservoir by utilizing a plurality of candidate water level values;
and calculating to obtain the water storage variation of the target reservoir in the target time period by using the average water surface area and the target water level value.
In one embodiment, before acquiring the plurality of water level values of the target reservoir within the target time period using the altimetry satellite, the method comprises:
acquiring the maximum water surface area of the water surface of the target reservoir in the target time period based on the optical remote sensing image;
utilize the height finding satellite, gather a plurality of water level values of target reservoir in the target time quantum, include:
and acquiring a plurality of water level values corresponding to the plurality of acquisition points within a range determined by the maximum water surface area within a target time period by using the height measurement satellite.
In one embodiment, when the target reservoir is a single reservoir, calculating the variation of the stored water of the target reservoir in the target time period by using the average water surface area and the target water level value, includes:
acquiring a basic water level value of a target reservoir in a preset time period before a target time period;
taking the target water level value as a subtracted number and the basic water level value as a subtracted number, carrying out subtraction calculation on the target water level value and the basic water level value, and taking the obtained difference value as a water level change value of a target reservoir in a target time period;
and (4) performing multiplication calculation on the average water surface area and the water level change value, and taking the obtained product as the water storage change quantity of the target reservoir in the target time period.
In one embodiment, when the target reservoir is a cascade reservoir, wherein the cascade reservoir includes a plurality of sub-target reservoirs;
calculating the water storage variation of the target reservoir in the target time period by using the average water surface area and the target water level value, wherein the calculation comprises the following steps:
calculating the variation of sub-stored water of the ith sub-target reservoir in the cascade reservoir in i preset time periods before the target time period; the minimum value of i is 1, and the maximum value of i is the number of the sub target reservoirs in the target reservoir;
and summing the variation of the sub-stored water of each sub-target reservoir, and taking the obtained sum as the variation of the stored water of the target reservoir in the target time period.
In one embodiment, calculating the variation of the sub-impounded water of the ith sub-target reservoir in the cascade reservoir in the i preset time periods before the target time period comprises:
aiming at the ith sub-target reservoir, acquiring a plurality of sub-water level values of the ith sub-target reservoir in i preset time periods before a target time period;
calculating the sub-water level change value of the ith sub-target reservoir in i preset time periods before the target time period by using the plurality of sub-water level values of the ith sub-target reservoir;
and multiplying the average water surface area and the sub-water level change value of the ith sub-target reservoir, and taking the obtained product as the variation of the sub-stored water of the ith sub-target reservoir in the first i preset time periods of the target time period.
In one embodiment, calculating the output flow of the target reservoir in the target time period based on the input flow, the stored water variation and the scheduling rule of the target reservoir includes:
when the water storage variation meets the scheduling rule, calculating the outlet flow of the target reservoir in the target time period according to the following formula:
wherein Q isoutRepresenting the discharge of the target reservoir; qinRepresenting the inflow of the target reservoir; Δ S represents the amount of change in the stored water; t denotes a target period.
In one embodiment, the target time period comprises a target day; the calculation method comprises the following steps:
determining the daily inflow of a target reservoir in a target day by using a pre-constructed simulation model;
calculating daily water storage variation of a target reservoir in a target day;
and calculating the sunrise flow of the target reservoir in the target day based on the daily inflow, the daily storage variation and the scheduling rule of the target reservoir.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for calculating regulated runoff of a reservoir in a data-free area comprises the following steps:
determining the inflow rate of a target reservoir in a target time period by using a pre-constructed simulation model, wherein the simulation model is positioned at the upstream of the target reservoir, simulates inflow of the reservoir in a natural state, and flows upstream runoff of the simulation reservoir into the target reservoir, and the inflow rate is a daily-scale time sequence;
calculating the water storage variation of the target reservoir in the target time period;
calculating the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variation and the scheduling rule of the target reservoir; the calling rule of the target reservoir comprises that the current storage capacity of the target reservoir is less than or equal to the total storage capacity of the target reservoir in a target time period, and the current storage capacity of the target reservoir is greater than or equal to the dead storage capacity of the target reservoir; the dispatching rule of the target reservoir further comprises that the outlet flow of the target reservoir is less than or equal to the safe discharge of the river channel and is greater than or equal to the ecological flow of the river channel;
judging whether the outlet flow of the target reservoir meets the dispatching rule of the target reservoir, and discharging according to the ecological flow of the river channel if the outlet flow of the target reservoir is smaller than the ecological flow of the river channel; if the discharge of the target reservoir is larger than the safe discharge of the river channel, discharging according to the safe discharge of the river channel;
wherein, in the calculation target time quantum, the retaining variation of target reservoir includes:
after a preset instruction is received, acquiring an optical remote sensing image corresponding to a target reservoir, and acquiring the average water surface area of the water surface of the target reservoir in the target time period based on the optical remote sensing image, wherein the preset instruction comprises identification information, coordinate information and target time of the target reservoir;
calculating a water level value at each acquisition point by utilizing a waveform re-positioning algorithm based on height measurement satellite data, acquiring a plurality of water level values of the target reservoir in the target time period, deleting abnormal values of the plurality of water level values to obtain a plurality of candidate water level values, performing interpolation calculation and smooth denoising on the plurality of candidate water level values, and determining the target water level value of the target reservoir;
and calculating to obtain the water storage variation of the target reservoir in the target time period by using the average water surface area and the target water level value.
2. The method of claim 1, prior to acquiring a plurality of water level values of the target reservoir over the target time period using a altimetric satellite, comprising:
acquiring the maximum water surface area of the water surface of the target reservoir in the target time period based on the optical remote sensing image;
the collecting a plurality of water level values of the target reservoir in the target time period by using the height measurement satellite comprises:
and acquiring a plurality of water level values corresponding to the plurality of acquisition points in the range determined by the maximum water surface area in the target time period by using the height measurement satellite.
3. The method according to claim 1, wherein when the target reservoir is a single reservoir, the calculating the variation of the stored water of the target reservoir in the target time period by using the average water surface area and the target water level value comprises:
acquiring the basic water level value of the target reservoir in a preset time period before the target time period;
taking the target water level value as a subtracted number and the basic water level value as a subtracted number, carrying out subtraction calculation on the target water level value and the basic water level value, and taking an obtained difference value as a water level change value of the target reservoir in the target time period;
and multiplying the average water surface area and the water level change value, and taking the obtained product as the water storage change quantity of the target reservoir in the target time period.
4. The computing method of claim 1, wherein when the target reservoir is a cascade reservoir, wherein the cascade reservoir comprises a plurality of sub-target reservoirs;
the calculating the water storage variation of the target reservoir in the target time period by using the average water surface area and the target water level value comprises the following steps:
calculating the variation of sub-stored water of the ith sub-target reservoir in the cascade reservoir in i preset time periods before the target time period; wherein the minimum value of i is 1, and the maximum value of i is the number of the sub-target reservoirs in the target reservoir;
and summing the variation of the sub-impounded water of each sub-target reservoir, and taking the obtained sum as the variation of the impounded water of the target reservoir in the target time period.
5. The calculation method according to claim 4, wherein the calculating the variation of the sub-impounded water of the ith sub-target reservoir in the cascade reservoir in the i preset time periods before the target time period comprises:
aiming at the ith sub-target reservoir, acquiring a plurality of sub-water level values of the ith sub-target reservoir in i preset time periods before the target time period;
calculating the sub-water level change value of the ith sub-target reservoir in i preset time periods before the target time period by using the plurality of sub-water level values of the ith sub-target reservoir;
and multiplying the average water surface area of the ith sub-target reservoir and the sub-water level change value, and taking the obtained product as the variation of the sub-stored water of the ith sub-target reservoir in i preset time periods before the target time period.
6. The calculation method according to claim 1, wherein the calculating the discharge rate of the target reservoir in the target time period based on the inlet flow rate, the variation of the stored water, and the scheduling rule of the target reservoir comprises:
when the water storage variation meets the scheduling rule, calculating the outlet flow of the target reservoir in the target time period according to the following formula:
wherein Q isoutRepresenting the outflow of the target reservoir; qinRepresenting the inflow of the target reservoir; Δ S represents the amount of change in the stored water; t denotes a target period.
7. The computing method of claim 1, wherein the target time period comprises a target day; the calculation method comprises the following steps:
determining the daily inflow rate of the target reservoir in a target day by using a pre-constructed simulation model;
calculating daily water storage variation of the target reservoir in a target day;
and calculating the sunrise flow of the target reservoir in the target day based on the daily inflow, the daily storage variation and the scheduling rule of the target reservoir.
8. A computing device for regulating runoff of a reservoir in a data-free region, the computing device comprising:
the determining module is used for determining the inflow rate of a target reservoir in a target time period by utilizing a pre-constructed simulation model, wherein the simulation model is positioned at the upstream of the target reservoir, simulates inflow of the reservoir in a natural state, and flows upstream runoff of the simulation reservoir into the target reservoir, and the inflow rate is a daily scale time sequence;
the first calculation module is used for calculating the water storage variation of the target reservoir in the target time period;
the second calculation module is used for calculating and obtaining the outlet flow of the target reservoir in the target time period based on the inlet flow, the storage variation and the scheduling rule of the target reservoir; the calling rule of the target reservoir comprises that the current storage capacity of the target reservoir is less than or equal to the total storage capacity of the target reservoir in a target time period, and the current storage capacity of the target reservoir is greater than or equal to the dead storage capacity of the target reservoir; the dispatching rule of the target reservoir further comprises that the outlet flow of the target reservoir is less than or equal to the safe discharge of the river channel and is greater than or equal to the ecological flow of the river channel;
the control module is used for judging whether the outlet flow of the target reservoir meets the dispatching rule of the target reservoir or not, and discharging according to the ecological flow of the river channel if the outlet flow of the target reservoir is smaller than the ecological flow of the river channel; if the discharge of the target reservoir is larger than the safe discharge of the river channel, discharging according to the safe discharge of the river channel;
the first calculation module is specifically used for acquiring an optical remote sensing image corresponding to a target reservoir after receiving a preset instruction, and acquiring the average water surface area of the water surface of the target reservoir in the target time period based on the optical remote sensing image, wherein the preset instruction comprises identification information, coordinate information and target time of the target reservoir;
calculating a water level value at each acquisition point by utilizing a waveform re-positioning algorithm based on height measurement satellite data, acquiring a plurality of water level values of the target reservoir in the target time period, deleting abnormal values of the plurality of water level values to obtain a plurality of candidate water level values, performing interpolation calculation and smooth denoising on the plurality of candidate water level values, and determining the target water level value of the target reservoir;
and calculating to obtain the water storage variation of the target reservoir in the target time period by using the average water surface area and the target water level value.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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