CN-121980988-A - Flood evolution and reservoir rain receiving capacity real-time calculation method based on remote sensing observation
Abstract
The invention relates to a real-time calculation method for flood evolution and reservoir rain receiving capacity based on remote sensing observation, and belongs to the technical field of flood early warning. The invention utilizes satellite remote sensing images and or downstream hydrologic stations to acquire the flow of the current flood discharge gate position in real time, then corrects Ma Sijing method parameters through the acquired remote sensing images, and reversely pushes out the flood flow under the dam, determines the corresponding water level according to a water level drainage curve, and determines the residual rain receiving capacity of the reservoir by combining the water regulating scheme of the reservoir. Compared with the traditional method for calculating the rain receiving capacity, the method has the characteristics of instantaneity and flexibility, the reservoir rain receiving capacity can be dynamically adjusted by monitoring the flow change of the downstream line Hong Kakou in real time, the response lag problem caused by fixed flood control high water level is solved, and the calculation of the rain receiving capacity is closer to the actual flood control requirement.
Inventors
- WANG HUACHANG
- Fan Yizhe
- SUN MINGYANG
- Mu Jiadong
- CUI MIAOMIAO
Assignees
- 浪潮光音卫星技术(山东)有限公司
Dates
- Publication Date
- 20260505
- Application Date
- 20251223
Claims (7)
- 1. The real-time calculation method for the flood evolution and reservoir rain receiving capacity based on remote sensing observation is characterized by comprising the following steps: S1, selecting a flood control gate section as a risk section at the downstream of a river channel, selecting the terrain of the downstream of a reservoir nearest to the river channel section, collecting the underwater terrain of the section of the river channel, and calculating the water level-flow relation of the risk section and the water level-water surface width relation according to a thank you formula according to the terrain; s2, collecting design data of a reservoir to be calculated, wherein the design data comprise a water level-reservoir capacity relation curve, a water level-drainage curve and the area of a reservoir flow field; s3, collecting remote sensing images and corresponding flow processes of the river reach to be measured in a plurality of time periods, recording the flow Q of a risk section, the drainage flow I of a reservoir at the moment, and the river channel storage W of the river reach to be measured according to the river topography and the water surface condition by utilizing the remote sensing images; s4, reversely calculating parameters K and x of the Maximin root method by using a series of Q, I and W; S5, calculating the flow rate at the moment of a certain selected risk section t 0 in the heavy rain as Q1 and the maximum overflow capacity as Q max according to the water level-flow rate relation curve obtained in the step S1, collecting the downward discharge flow rate I of the reservoir at the moment, and calculating the time required for the flood wave to be transmitted from the reservoir to the risk section ; S6, according to the linear description In the flood water-rising process, the risk section flow rate at the time t 0 is considered to be Q 1 , and then 1= t 0+ The risk section flow at moment is Q max ; S7, performing time-interval back calculation by using the maximum flow Q max bearable by the downstream section at the time t 1 , the downstream section flow Q 1 at the current time t 0 and the upstream section flow I 1 at the current time, and taking out time intervals by using a Ma Sijing root calculation method Calculating a series of downward discharge flows I 2i of the upstream reservoir with the maximum bearing capacity; S8, calculating each risk section according to the step S7 to obtain a series of reservoir drainage I 2i , selecting a drainage maximum I max , inquiring a water level-drainage curve of the reservoir to obtain a water level corresponding to I max , inquiring the water level-storage capacity curve of the reservoir to obtain a flood control high water level, inquiring the storage capacity difference between the current water level and the flood control high water level, and using the water level-storage capacity curve as W Load bearing of the reservoir to rainfall bearing capacity; S9, calculating runoff depth R required for forming the flood according to W Load bearing , and calculating the rainfall capacity of the reservoir according to a local rainfall-runoff depth curve.
- 2. The real-time calculation method of flood evolutions and reservoir rain receiving capacity based on remote sensing observation according to claim 1, wherein the flow relation formula in step S1 is as follows: , wherein: A is the cross-sectional area of the water passing through, R is the water conservancy radius of the section, J is the water conservancy ratio drop, A, C, J can be measured according to river channel topography after the specific water level is fixed, C is the coefficient of the thank you, Can use Manning formula Calculating, wherein n can adopt an empirical value according to the roughness of the river channel; when the section water level is determined, the river water cross-section area A and the river water surface width are the only corresponding relation, so that the water level-flow relation and the water level-water surface width relation can be simultaneously deduced according to the formula.
- 3. The real-time calculation method of flood evolutions and reservoir rain receiving capacity based on remote sensing observation according to claim 1, wherein in step S3, dividing the river channel topography into a river channel section every 100m, determining each section area according to a specific water level, calculating the groove storage of each section of river length according to a land volume calculation formula, and finally adding the groove storage of each section to obtain the total groove storage of the river channel at the moment, wherein the calculation formula is as follows: , wherein W is the water storage capacity of the channel of the interval river, the unit is m 3 , N is the number of river sections, A i1 is the area of the initial section of the ith river reach, A i2 is the area of the termination section of the ith river reach.
- 4. The method for calculating the flood evolutions and the reservoir rain receiving capacity in real time based on remote sensing observation according to claim 1, wherein the calculating process in the step S4 is as follows: For Ma Sijing original tank storage equations, , The deformation is as follows: , Wherein W is the water storage capacity of the channel of the interval river, K is the gradient of the accumulation-flow relationship, X is the flow distribution coefficient and, I is the upstream inflow of the river channel, namely the discharge flow of the reservoir, Q is the downstream outlet flow of the river channel, namely the flood flow of the downstream risk section; Let a=k, b=kx, the formula can be expressed as a binary linear equation, , For each set of measured data Q i ,I i ,W i , i=1, 2..n, the auxiliary variables were calculated: , The equation becomes now: , And then calculating parameters a, b by utilizing measured data and utilizing a multiple linear regression method, and then back calculating K, x, wherein the related formulas are as follows: 。
- 5. The method for calculating the flood evolutions and the reservoir rain receiving capacity in real time based on remote sensing observation according to claim 1, wherein in step S6 The calculation formula is that Where L is the distance from the first section downstream of the reservoir to the risk section and u is the flood wave velocity.
- 6. The method for calculating the flood evolutions and the reservoir rain receiving capacity in real time based on remote sensing observation according to claim 1, wherein the calculating process in the step S7 is as follows: River channel storage equation commonly used in flood evolution , Performing differential processing , Combining the groove storage equation after the difference treatment with Ma Sijing method groove storage equations of W 1、 W 2 to obtain a formula for calculating I 2 : , Wherein the method comprises the steps of , Wherein K, x is calculated in the previous step, To calculate the spacing.
- 7. The method for calculating the flood evolutions and the reservoir rain receiving capacity in real time based on remote sensing observation according to claim 1, wherein the calculation formula in the step S9 is as follows: R Load bearing = 10 W Load bearing /F , Wherein W Load bearing is the calculated bearing capacity, F is the area of a reservoir flow field, R Load bearing is the runoff depth R required to form the flood, And calculating the rain receiving capacity of the reservoir according to the calculated R Load bearing and inquiring a local rainfall-runoff depth curve.
Description
Flood evolution and reservoir rain receiving capacity real-time calculation method based on remote sensing observation Technical Field The invention relates to a reservoir rain capacity real-time calculation method for downstream dike safety, in particular to a flood evolution and reservoir rain capacity real-time calculation method based on remote sensing observation, and belongs to the technical field of flood early warning. Background The bearing capacity of the reservoir to rainfall is the key for evaluating the flood defense capacity of the reservoir under the condition of heavy rain, the current calculation of the rain receiving capacity of the reservoir is only performed under fixed working conditions, and more emphasis is placed on the determination of the relation between the upstream confluence process and the current water level and the flood control high water level of the reservoir. The flood control high water level is often a design fixed value when the reservoir is built. The flood process has obvious burstiness and variability, and the problem that the response is not timely, so that the waste of flood control warehouse capacity or the untimely flood control scheduling is caused often exists by adopting a fixed value. In order to realize dynamic calculation of the rain receiving capacity, the bearing capacity of a downstream riverway of a reservoir to the water discharge capacity of the reservoir in a real-time state needs to be calculated, wherein a Ma Sijing method is considered as an effective way for realizing flood analysis and calculation in the flood evolution process of the riverway, but Ma Sijing methods mostly adopt a traditional hydraulic scheme to determine a parameter mode so far, and the validity of the parameter cannot be verified. Patent CN 119740735A discloses a remote sensing-based flood process analysis method, which comprises the steps of extracting water surface area of each typical river reach from a current remote sensing image of the river reach to be analyzed when flood occurs in the river reach to be analyzed, obtaining topographic data of the river reach to be analyzed, determining current flood quantity and positions of flood peaks of each unit river reach in the corresponding typical river reach according to the water surface area and the topographic data of each typical river reach, identifying the flood occurrence position of the river reach to be analyzed according to the current remote sensing image according to the current flood quantity, the positions of the dam, the position of the dam, and the position of the dam, based on Ma Sijing methods, utilizing the current flood quantity and the flood occurrence position, generating a flood process line of the river reach to be analyzed, and determining flood peak flow, peak time and total flood quantity based on the flood process line. The technical scheme is used for determining the parameter mode by adopting the traditional hydraulics scheme aiming at the use of the Ma Sijing root method, the parameter calibration of the Ma Sijing root method according to the remote sensing image is not realized, and the accuracy has a certain problem. Disclosure of Invention The invention aims to overcome the defects and provide a real-time calculation method for flood evolution and reservoir rain receiving capacity based on remote sensing observation, which has better real-time performance and flexibility. The technical scheme adopted by the invention is as follows: A real-time calculation method for flood evolution and reservoir rain receiving capacity based on remote sensing observation comprises the following steps: S1, selecting a flood control gate section as a risk section at the downstream of a river channel, selecting the terrain of the downstream of a reservoir nearest to the river channel section, collecting the underwater terrain of the section of the river channel, and calculating the water level-flow relation of the risk section and the water level-water surface width relation according to a thank you formula according to the terrain; s2, collecting design data of a reservoir to be calculated, wherein the design data comprise a water level-reservoir capacity relation curve, a water level-drainage curve and the area of a reservoir flow field; s3, collecting remote sensing images and corresponding flow processes of the river reach to be measured in a plurality of time periods, recording the flow Q of a risk section, the drainage flow I of a reservoir at the moment, and the river channel storage W of the river reach to be measured according to the river topography and the water surface condition by utilizing the remote sensing images; s4, reversely calculating parameters K and x of the Maximin root method by using a series of Q, I and W; S5, calculating the flow rate Q 1 at the moment of a certain selected risk section t 0 in heavy rain according to the water level-flow rate curve obtained in the step S1, the maximu