CN106595777A - Calculation method for detecting flow of section of river in non-contact manner - Google Patents
Calculation method for detecting flow of section of river in non-contact manner Download PDFInfo
- Publication number
- CN106595777A CN106595777A CN201611090538.1A CN201611090538A CN106595777A CN 106595777 A CN106595777 A CN 106595777A CN 201611090538 A CN201611090538 A CN 201611090538A CN 106595777 A CN106595777 A CN 106595777A
- Authority
- CN
- China
- Prior art keywords
- flow
- section
- velocity
- overbar
- water
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
- G01F1/002—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow wherein the flow is in an open channel
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
- G01F1/66—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by measuring frequency, phase shift or propagation time of electromagnetic or other waves, e.g. using ultrasonic flowmeters
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/30—Assessment of water resources
Abstract
The invention relates to a calculation method for detecting the flow of the section of a river in a non-contact manner. The method includes the following steps that: step 1, a radar is adopted to detect river surface flow data; step 2, open channel flow cross section flow rate distribution is calculated; step 3, a relationship between a surface flow rate and a water depth is determined; step 4, a relationship between the surface flow rate and the average flow rate of the section is determined; and step 5, the total flow of the section is calculated. According to the calculation method of the invention, a radar remote sensing non-contact measurement method is adopted, so that good maneuverability, flexibility and real-time performance can be realized, and highest detection efficiency can be achieved with smallest measurement cost, a widest detection range can be realized, and measurement can be performed in a non-water-contact manner; and therefore, the calculation method is competent for hydrological surface information measurement under complex geological conditions and external adverse weather conditions.
Description
Technical field
The present invention relates to flow monitoring technical field, more particularly to a kind of meter of contactless detection cross section of river flow
Calculation method.
Background technology
The method that prior art is measured for water body, the mode obtained according to data can be divided into direct measurement and contact
Measurement.Direct measurement and contact type measurement are mainly taken and measuring instrument are put in measurement target water body so as to obtain water body phase
The method for closing hydrology parameter information, is such as all the side of direct measurement and contact type measurement using current meter, current meter, buoy etc.
Method.But when external environment condition is severe, such as under the conditions of typhoon, flood etc., direct measurement and contact type measurement are difficult to carry out, and cannot do
To daytime measurement, and also will be through proving at this repeatedly water body environment if appropriate for being surveyed in the selection of measurement point
Amount, measurement range are little.
The content of the invention
In order to overcome the deficiencies in the prior art, the technical problem to be solved is to provide one kind can be disconnected to river
Surface current amount carries out the wide method of daytime measurement and measurement range.
To solve above-mentioned technical problem, a kind of calculating side of contactless detection cross section of river flow provided by the present invention
Method, comprises the steps:
Step 1 uses radar detection river surface flow data;
Step 2 calculates the distribution of channel flow cross-sectional flow;
According to hydromechanical principle, the governing equation group of two-dimentional channel flow under constant stream mode is obtained:
Still cannot get the distribution of cross-sectional flow by above-mentioned governing equation, will obtain flow velocity vertical characteristics need to be using some partly
The public affairs of experience
Formula method.According to the semi-empirical approach of the mixing length theory l=κ z ' of Prandtl, and shearing stress τ of inner regionzx
It is basic to keep constant value and be equal to wall shear stress τ0Obtain equation below:
Variables separation, to obtaining after differential equation integration:
Wherein,For drag velocity, κ is toll bar general constant, and integral constant C is determined by experimental data.z0
For bed surface rough features length, it is riverbed roughness ksFunction, represent flow velocity be at zero with a distance from riverbed bottom, that is,
The original position of virtual bed bottom z', typically takesAnd riverbed roughness ksIt is then the parameter of tolerance bed surface degree of roughness;
In outskirt, because τzx≠τ0, logarithmic parabola can not possibly be compound with actual, it is necessary to introduces a function and is corrected,
The function depends on function h, while also depending on zero dimension barometric gradientHere Coles wake flow function pairs pair are introduced
Number formula is modified, and obtains outskirt empirical equation:
Wherein UcFor the Peak Flow Rate in section,For wake flow function, it is defined as:And Π is wake flow
Parameter, depending on longitudinal gradient force:
For the current of balance, wake flow parameter must keep constant value, thus β is a balance parameters.(2 Π/k) generation
Deviate the part of logarithmic parabola at table (z'/δ)=1, depth of water δ≤h is Peak Flow Rate U to be measured in active cross-sectioncThe depth at place, such as
Fruit Peak Flow Rate occurs in the water surface, then δ ≡ h.
Step 3 determines the relation of surface velocity and the depth of water;
Formula of the flow velocity along water depth distribution is determined, the numerical value of the depth of water can be further calculated.According to flow velocity experience point
Cloth formula, surface velocityThe power form related to depth of water h can be expressed as:
Wherein, z0For bed surface rough features length, represent that flow velocity is that is, the virtual bed at 0 with a distance from riverbed bottom
The position at bottom.And coefficient a and m are the parameter relevant with bed configuration and stream condition;
Bring drag velocity expression formula into above-mentioned formula and obtain depth of water expression formula:
ksIt is riverbed roughness, SfFor bed sloped, g is acceleration of gravity, in natural rivers and creeks, when object is the big depth of water
During small particle riverbed rivers and creeks, the suggestion of Engelund is:M=1/8, A=9.45.
Step 4 determines the relation of surface velocity and mean velocity in section;
Obtaining flow velocity and obtaining after water depth distribution, further the mean flow rate of cross section of river;
1. according to conventional empirical equation, mean velocity in section U is determined using following approximation relation:
The numerical value of above parameter represents the depth of water of given position, the behalf water surface;
In natural rivers and creeks, in the case where horizontal bed surface Latitudinal section is uneven, empirically method is calculated and is easily caused
Calculation error, according to velocity distribution formulas, asks for mean velocity in section in the way of integrating;
2. according to cross-sectional flow formula, integration is calculated respectively by inner region and outskirt to cross-sectional flow, with 0.2h as interior outskirt
Separation, obtains outskirt mean flow rate U0, inner region mean flow rate Ui, then section flat average rate U can be by formula
U=0.8U0+0.2U1Represent, interior outskirt mean flow rate expression formula is brought into and is obtained:
Above formula is obtained into the ratio of mean flow rate and surface velocity divided by velocity distribution formulas:
3., in the case of with power velocity distribution formulas, the deep integral mean of water intaking obtains section depth of water mean flow rate
For:
By Velocity Formula divided by power velocity distribution formulas, the ratio of section depth of water mean flow rate and surface velocity is obtained
It is worth and is:
Step 5 calculates section total flow;
Using average cross method, the total flow for obtaining a distance element section is:
Wherein, B is river width, and n is segments, BiTo be segmented river width, UiFor the mean flow rate of this distance element section, hiFor
The depth of water, wherein U0、Un、h0And hnFor the mean flow rate and the depth of water of border segment, 0 value in calculating, can be considered as.
Beneficial effects of the present invention
(1) if the interval between section is less, that is, radar range unit interval it is less when, can be abundant
Show the horizontal change conditions for flowing to situation and riverbed in rivers and creeks.
(2) using radar detection remote sensing, spatially while measurement flow rate and depth profile, can grasp rapidly riverbed change
The situation of dynamic and velocity flow profile, for the control of riverbed discharge and the raising of certainty of measurement have significantly help.
(3) can be due to cross section of river, transversely detecting location is different, and the depth of water for causing is different with velocity flow profile examines
Including considering, improve the accuracy of flow rate calculation, while overcoming the limitation of conventional remote sensing technology measurement, reach with contactless
The purpose of the accurate calculated flow rate of means.
The method of radar remote sensing non-contact measurement has good mobility, motility, real-time, with minimum measurement
Cost reaches the detection efficient of maximum, covers most wide investigative range, not contact the advantage of water body measurement, can be competent at complexity
Hydrology surface information measurement under geological conditions and outside adverse weather condition.
Description of the drawings
Fig. 1 is radar detection top view;
Fig. 2 is the flow chart of cross section of river flow rate calculation.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings:
Fig. 1 is radar detection top view.In actual tests operation, according to the situation of change of river level, and test
The characteristics of water phase time period, to select and place is set up as radar at one.It can be seen from figure 1 that radar #11 is irradiated towards on river
Trip, flowing water are all directed towards radar motion.
Fig. 2 is the flow chart of the cross section of river flow rate calculation using the present invention.With non-contacting technique study section
Hydrologic parameter, main data are according to the surface velocity for being exactly section at this.Based on detection target, present invention assumes that detection section
Current be steady flow.Steady flow is generally dependent on x, y, z these three variables, is exactly so-called three-dimensional current.If a river
The width of groove is very big, and for the depth of water, then this current is considered as two dimension.For the calculating of cross section of river flow,
High-frequency ground wave radar searching surface stream can be used, according to the method that surface stream further sets up flow rate calculation pattern, with river table
The data of surface current obtain section upper table surface current as foundationDistribution, according to surface velocity and the depth of water and mean velocity in section
Relation, calculates the depth of water and mean velocity in section, section flow is obtained after integration.
For the estimation of the section depth of water and mean flow rate:It is Peak Flow Rate that cross-section average depth is calculated based on surface velocity
This premise.The present invention adopts power law formula in the calculating to the depth of water, and adopts parameter m=1/8, and A=9.45 is counting
Calculate depth of water result.After obtaining section water depth distribution, mean flow rate calculating is carried out to a certain distance element section that target section is chosen.
For the selection of calculating parameter:The present invention utilizes measurement surface flow relocity calculation mean flow rate and the depth of water, and then tries to achieve
The method of section flow, the parameter of Main Basiss is energy gradient and riverbed roughness length.According to energy gradient is actually obtained
For:Se=Sw+Fr 2(Sf-Sw), SfFor bed sloped, SwFor water surface gradient.FrFor Floyd's algorithm.Current invention assumes that target section
Section current are open-channel constant uniform flow, and according to current property and characteristic of river course, water surface gradient can be near with stream gradient
Patibhaga-nimitta etc., then energy gradient determined by river water surface gradient.I.e.:Se=Sw=Sf.Believed according to the hydrology in existing target river
Breath, show that the order of magnitude of bed roughness refers to span.
For the acquisition of surface velocity:The present invention utilizes the radar exploration technique gathered data, how general according to the distance for obtaining
The practical situation and current direction of spectrogram are strangled, that analyzes the right and left single order peak manifests degree, it is ensured that manifesting obvious one
Side single order peak substantially exist in the range of will not be with opposite side single order peak in the case that after zero-frequency is crossed, residing region is Chong Die, table
Surface current speed extracts the flow rate information that can be provided only with the single order peak of side.
For the calculating of section flow:First have to model estimation be carried out to calculating section, the stream shape of section is carried out
Approximate evaluation.The present invention regards section shape as conventional trapezoidal, is approximately considered current with river surface center as line of symmetry, section
Mean flow rate is symmetrical.Relevant parameter formula is as follows:
Section:A=(b+mh) h width:The B=b+2mh depth of waters:
Then, on section, river width B is divided into some sections. for each segment Bi, it is distributed according to radar detection surface low
Data, obtain the average surface flow velocity of each segmentAnd then it is light-gauge average to be calculated this according to formula
Flow velocity UiWith depth of water hi, using average cross method, obtain total flow Q of this distance element section:
Wherein, B is river width, and n is segments, BiTo be segmented river width, wherein U0、Un、h0And hnFor side
The mean flow rate and the depth of water of area under a person's administration, can be considered as 0 value in calculating.
Claims (5)
1. a kind of computational methods of contactless detection cross section of river flow, the method comprises the steps:
Step 1 uses radar detection river surface flow data;
Step 2 calculates the distribution of channel flow cross-sectional flow;
Step 3 determines the relation of surface velocity and the depth of water;
Step 4 determines the relation of surface velocity and mean velocity in section;
Step 5 calculates section total flow;
It is characterized in that:Described detection river surface flow data is detected with radar electromagnetic wave.
2. it is according to claim 1 it is contactless detection cross section of river flow computational methods, it is characterised in that:Described
The distribution of channel flow cross-sectional flow is calculated, it is specific as follows:
According to hydromechanical principle, the governing equation group of two-dimentional channel flow under constant stream mode is obtained:
Still cannot get the distribution of cross-sectional flow by above-mentioned governing equation, flow velocity vertical characteristics will be obtained and need to adopt some semiempiricals
Formula method.According to the semi-empirical approach of the mixing length theory l=κ z ' of Prandtl, and shearing stress τ of inner regionzxSubstantially
Keep constant value and be equal to wall shear stress τ0Obtain equation below:
Variables separation, to obtaining after differential equation integration:
Wherein,For drag velocity, κ is toll bar general constant, and integral constant C is determined by experimental data.z0For bed surface
Rough features length, is riverbed roughness ksFunction, represent that flow velocity is that is, the virtual bed at zero with a distance from riverbed bottom
The original position of bottom z', typically takesAnd riverbed roughness ksIt is then the parameter of tolerance bed surface degree of roughness;
In outskirt, because τzx≠τ0, logarithmic parabola can not possibly be compound with actual, it is necessary to introduces a function and is corrected, the letter
Number depends on function h, while also depending on zero dimension barometric gradientHere introduce Coles wake flow function pairs logarithm public
Formula is modified, and obtains outskirt empirical equation:
Wherein UcFor the Peak Flow Rate in section,For wake flow function, it is defined as:And Π is wake flow parameter,
Depending on longitudinal gradient force:
For the current of balance, wake flow parameter must keep constant value, thus β is a balance parameters.(2 Π/k) are represented
Deviate the part of logarithmic parabola at (z'/δ)=1, depth of water δ≤h is Peak Flow Rate U to be measured in active cross-sectioncThe depth at place, if
Peak Flow Rate occurs in the water surface, then δ ≡ h.
3. it is according to claim 1 it is contactless detection cross section of river flow computational methods, it is characterised in that:Described
Determine the relation of surface velocity and the depth of water, it is specific as follows:
Formula of the flow velocity along water depth distribution is determined, the numerical value of the depth of water can be further calculated.It is public according to the distribution of flow velocity experience
Formula, surface velocityThe power form related to depth of water h can be expressed as:
Wherein, z0For bed surface rough features length, represent that flow velocity is that is, the position at virtual bed bottom at 0 with a distance from riverbed bottom
Put.And coefficient a and m are the parameter relevant with bed configuration and stream condition;
Bring drag velocity expression formula into above-mentioned formula and obtain depth of water expression formula:
ksIt is riverbed roughness, SfFor bed sloped, g is acceleration of gravity, in natural rivers and creeks, when object is big depth of water granule
During footpath riverbed rivers and creeks, the suggestion of Engelund is:M=1/8, A=9.45.
4. it is according to claim 1 it is contactless detection cross section of river flow computational methods, it is characterised in that:Described
Determine the relation of surface velocity and mean velocity in section, it is specific as follows:
Obtaining flow velocity and obtaining after water depth distribution, further the mean flow rate of cross section of river;
1. according to conventional empirical equation, mean velocity in section U is determined using following approximation relation:
The numerical value of above parameter represents the depth of water of given position, the behalf water surface;
In natural rivers and creeks, in the case where horizontal bed surface Latitudinal section is uneven, empirically method is calculated and easily causes calculating
Error, according to velocity distribution formulas, asks for mean velocity in section in the way of integrating;
2. according to cross-sectional flow formula, integration is calculated respectively by inner region and outskirt to cross-sectional flow, with 0.2h as inside and outside differentiation circle
Point, obtains outskirt mean flow rate U0, inner region mean flow rate Ui, then section flat average rate U can be by formula U=0.8U0+0.2U1Table
Show, interior outskirt mean flow rate expression formula is brought into and is obtained:
Above formula is obtained into the ratio of mean flow rate and surface velocity divided by velocity distribution formulas:
3. in the case of with power velocity distribution formulas, the deep integral mean of water intaking, obtaining section depth of water mean flow rate is:
By Velocity Formula divided by power velocity distribution formulas, the ratio of section depth of water mean flow rate and surface velocity is obtained
For:
5. it is according to claim 1 it is contactless detection cross section of river flow computational methods, it is characterised in that:Described
Section total flow is calculated, it is specific as follows:
Using average cross method, the total flow for obtaining a distance element section is:
Wherein, B is river width, and n is segments, BiTo be segmented river width, UiFor the mean flow rate of this distance element section, hiFor the depth of water,
Wherein U0、Un、h0And hnFor the mean flow rate and the depth of water of border segment, 0 value in calculating, can be considered as.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611090538.1A CN106595777A (en) | 2016-12-01 | 2016-12-01 | Calculation method for detecting flow of section of river in non-contact manner |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611090538.1A CN106595777A (en) | 2016-12-01 | 2016-12-01 | Calculation method for detecting flow of section of river in non-contact manner |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106595777A true CN106595777A (en) | 2017-04-26 |
Family
ID=58594477
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611090538.1A Pending CN106595777A (en) | 2016-12-01 | 2016-12-01 | Calculation method for detecting flow of section of river in non-contact manner |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106595777A (en) |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107044875A (en) * | 2017-03-07 | 2017-08-15 | 上海航征测控系统有限公司 | A kind of flow-measuring method |
CN107490410A (en) * | 2017-08-17 | 2017-12-19 | 河海大学 | It is a kind of based on represent vertical line point flow velocity measurement Gao Hong contactless flow measurement method |
CN108593023A (en) * | 2018-02-21 | 2018-09-28 | 李银才 | Utilize the method for radar meter automatic measurement open channel flow rate |
CN109060056A (en) * | 2018-08-20 | 2018-12-21 | 长江水利委员会长江科学院 | A kind of river cross-section method of calculating flux of contactless radar flow measurement |
CN109297551A (en) * | 2018-11-26 | 2019-02-01 | 浙江清环智慧科技有限公司 | A kind of measurement method and system of pipe network flow |
CN109975578A (en) * | 2019-04-09 | 2019-07-05 | 武汉新烽光电股份有限公司 | Runoff velocity method for real-time measurement, system and control device |
CN110018323A (en) * | 2019-04-24 | 2019-07-16 | 杭州开闳流体科技有限公司 | A kind of flow field intelligence computation method and system based on acoustic Doppler measurement instrument |
CN110455350A (en) * | 2019-07-22 | 2019-11-15 | 河海大学 | A kind of discharge of river comprehensively measuring and calculating method and system |
CN112036092A (en) * | 2020-07-10 | 2020-12-04 | 江苏省海洋资源开发研究院(连云港) | River flow prediction method based on relation between river intermediate surface speed and river width |
CN112100567A (en) * | 2020-09-11 | 2020-12-18 | 中国科学院、水利部成都山地灾害与环境研究所 | Method for measuring vertical flow velocity distribution, surface flow velocity and average flow velocity of dilute debris flow |
CN113124941A (en) * | 2021-04-01 | 2021-07-16 | 长江水利委员会长江科学院 | Non-contact type river channel flow measuring and accurate calculating method |
CN113255030A (en) * | 2021-04-27 | 2021-08-13 | 交通运输部天津水运工程科学研究所 | Hydraulic optimal section design method for open channel with rectangular section |
CN113759387A (en) * | 2021-09-01 | 2021-12-07 | 河海大学 | Three-dimensional laser radar-based method for measuring wave-crossing amount of coastal wave-resistant building |
CN115406418A (en) * | 2022-10-31 | 2022-11-29 | 南京开天眼无人机科技有限公司 | Flight and drift combined flow measuring method and flow measuring buoy thereof |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006208300A (en) * | 2005-01-31 | 2006-08-10 | Hitachi Ltd | System for measuring bed profile |
US20090211331A1 (en) * | 2006-12-18 | 2009-08-27 | Fsi International Corp. Limited | Method to measure flow line return fluid density and flow rate |
CN105222840A (en) * | 2015-09-16 | 2016-01-06 | 中国电建集团贵阳勘测设计研究院有限公司 | Ecological flow real-time monitoring system and method thereof is let out under a kind of Hydraulic and Hydro-Power Engineering |
CN106123976A (en) * | 2016-07-22 | 2016-11-16 | 兰州海默科技股份有限公司 | A kind of measure in multiphase flow oil, the measurement apparatus of gas and water three-phase each volume flow and measuring method |
-
2016
- 2016-12-01 CN CN201611090538.1A patent/CN106595777A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006208300A (en) * | 2005-01-31 | 2006-08-10 | Hitachi Ltd | System for measuring bed profile |
US20090211331A1 (en) * | 2006-12-18 | 2009-08-27 | Fsi International Corp. Limited | Method to measure flow line return fluid density and flow rate |
CN105222840A (en) * | 2015-09-16 | 2016-01-06 | 中国电建集团贵阳勘测设计研究院有限公司 | Ecological flow real-time monitoring system and method thereof is let out under a kind of Hydraulic and Hydro-Power Engineering |
CN106123976A (en) * | 2016-07-22 | 2016-11-16 | 兰州海默科技股份有限公司 | A kind of measure in multiphase flow oil, the measurement apparatus of gas and water three-phase each volume flow and measuring method |
Non-Patent Citations (3)
Title |
---|
李自立,王才军,李永辉: "基于超高频雷达的流量测量算法研究:以长江武汉段为例", 《武汉大学学报(理学版)》 * |
格拉夫(WALTER HANS GRAF),M.S.阿廷拉卡(M.S.ALTINAKAR): "《河川水力学》", 31 December 1997, 成都科技大学出版社 * |
王致清: "《粘性流体动力学》", 31 December 1990, 哈尔滨工业大学出版社 * |
Cited By (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107044875A (en) * | 2017-03-07 | 2017-08-15 | 上海航征测控系统有限公司 | A kind of flow-measuring method |
CN107044875B (en) * | 2017-03-07 | 2019-07-09 | 上海航征仪器设备有限公司 | A kind of flow-measuring method |
CN107490410B (en) * | 2017-08-17 | 2019-07-12 | 河海大学 | It is a kind of based on represent vertical line point flow velocity measurement Gao Hong contactless flow measurement method |
CN107490410A (en) * | 2017-08-17 | 2017-12-19 | 河海大学 | It is a kind of based on represent vertical line point flow velocity measurement Gao Hong contactless flow measurement method |
CN108593023A (en) * | 2018-02-21 | 2018-09-28 | 李银才 | Utilize the method for radar meter automatic measurement open channel flow rate |
CN109060056A (en) * | 2018-08-20 | 2018-12-21 | 长江水利委员会长江科学院 | A kind of river cross-section method of calculating flux of contactless radar flow measurement |
CN109060056B (en) * | 2018-08-20 | 2019-08-27 | 长江水利委员会长江科学院 | A kind of river cross-section method of calculating flux of contactless radar flow measurement |
CN109297551B (en) * | 2018-11-26 | 2020-11-24 | 浙江清环智慧科技有限公司 | Method and system for measuring pipe network flow |
CN109297551A (en) * | 2018-11-26 | 2019-02-01 | 浙江清环智慧科技有限公司 | A kind of measurement method and system of pipe network flow |
CN109975578B (en) * | 2019-04-09 | 2021-12-31 | 武汉新烽光电股份有限公司 | Runoff flow velocity real-time measuring method, system and control device |
CN109975578A (en) * | 2019-04-09 | 2019-07-05 | 武汉新烽光电股份有限公司 | Runoff velocity method for real-time measurement, system and control device |
WO2020215458A1 (en) * | 2019-04-24 | 2020-10-29 | 杭州开闳流体科技有限公司 | Intelligent flow-field calculation method and system employing acoustic doppler current profiler |
CN110018323A (en) * | 2019-04-24 | 2019-07-16 | 杭州开闳流体科技有限公司 | A kind of flow field intelligence computation method and system based on acoustic Doppler measurement instrument |
CN110455350A (en) * | 2019-07-22 | 2019-11-15 | 河海大学 | A kind of discharge of river comprehensively measuring and calculating method and system |
CN110455350B (en) * | 2019-07-22 | 2021-01-26 | 河海大学 | River channel flow comprehensive measuring and calculating method and system |
CN112036092A (en) * | 2020-07-10 | 2020-12-04 | 江苏省海洋资源开发研究院(连云港) | River flow prediction method based on relation between river intermediate surface speed and river width |
CN112036092B (en) * | 2020-07-10 | 2023-11-28 | 江苏省海洋资源开发研究院(连云港) | River flow prediction method based on river intermediate surface speed and river width relation |
CN112100567A (en) * | 2020-09-11 | 2020-12-18 | 中国科学院、水利部成都山地灾害与环境研究所 | Method for measuring vertical flow velocity distribution, surface flow velocity and average flow velocity of dilute debris flow |
CN112100567B (en) * | 2020-09-11 | 2023-06-06 | 中国科学院、水利部成都山地灾害与环境研究所 | Method for measuring vertical flow velocity distribution, surface flow velocity and average flow velocity of dilute mud-rock flow |
CN113124941A (en) * | 2021-04-01 | 2021-07-16 | 长江水利委员会长江科学院 | Non-contact type river channel flow measuring and accurate calculating method |
CN113255030A (en) * | 2021-04-27 | 2021-08-13 | 交通运输部天津水运工程科学研究所 | Hydraulic optimal section design method for open channel with rectangular section |
CN113759387A (en) * | 2021-09-01 | 2021-12-07 | 河海大学 | Three-dimensional laser radar-based method for measuring wave-crossing amount of coastal wave-resistant building |
CN113759387B (en) * | 2021-09-01 | 2023-12-22 | 河海大学 | Coast wave-proof building surmounting quantity measuring method based on three-dimensional laser radar |
CN115406418A (en) * | 2022-10-31 | 2022-11-29 | 南京开天眼无人机科技有限公司 | Flight and drift combined flow measuring method and flow measuring buoy thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106595777A (en) | Calculation method for detecting flow of section of river in non-contact manner | |
CN109635435B (en) | Natural river water level flow relation determining method based on Bayesian theory | |
Muste et al. | Considerations on direct stream flow measurements using video imagery: Outlook and research needs | |
Parsons et al. | Numerical modelling of flow structures over idealized transverse aeolian dunes of varying geometry | |
CN109754025B (en) | In conjunction with hydrological simulation and the small reservoir parameter identification method of continuous remote sensing image non-avaible | |
Puleo et al. | Near bed cross-shore velocity profiles, bed shear stress and friction on the foreshore of a microtidal beach | |
CN107490410A (en) | It is a kind of based on represent vertical line point flow velocity measurement Gao Hong contactless flow measurement method | |
CN110672163B (en) | Method for testing ice period flow of canal in cold region | |
CN103886187A (en) | River channel water and sediment real-time prediction method based on data assimilation | |
CN110459036B (en) | Mountain torrent early warning method based on deep learning | |
CN103235883A (en) | Non-contact river surface velocity measurement based regression calculation method for instantaneous flow rate | |
CN109993350A (en) | A kind of Critical Rainfall evaluation method based on spatially distributed rainfall | |
Estournel et al. | Dense water formation and cascading in the Gulf of Thermaikos (North Aegean), from observations and modelling | |
Chen et al. | A fast method of flood discharge estimation | |
Yang et al. | Two-dimensional velocity distribution modeling for natural river based on UHF radar surface current | |
CN105068075B (en) | A kind of computational methods of strong wind near the ground | |
Wu et al. | Flow characteristics in open channels with aquatic rigid vegetation | |
CN110847112B (en) | River flood discharge early warning method based on hydraulics simulation | |
CN202885872U (en) | Gate flow measuring device | |
CN105843997B (en) | Fractal theory-based hydrological model upscaling method | |
Akbarpour et al. | Application of LSPIV to measure supercritical flow in steep channels with low relative submergence | |
Chen et al. | Estimating the flow velocity and discharge of ADCP unmeasured area in tidal reach | |
CN108411844B (en) | A kind of analysis method and device of the debris flow velocity field of the irregular section of natural channel | |
Maji et al. | Phenomenological features of turbulent hydrodynamics in sparsely vegetated open channel flow | |
CN113946964A (en) | Flow convergence calculation method for grassland river and river channel |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170426 |