CN106249318A - River basin flood Real-time Forecasting Method and predictor - Google Patents
River basin flood Real-time Forecasting Method and predictor Download PDFInfo
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- CN106249318A CN106249318A CN201610548023.5A CN201610548023A CN106249318A CN 106249318 A CN106249318 A CN 106249318A CN 201610548023 A CN201610548023 A CN 201610548023A CN 106249318 A CN106249318 A CN 106249318A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
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- 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
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
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- 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
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The invention discloses a kind of river basin flood Real-time Forecasting Method and predictor, wherein, method comprises the following steps: receive the GPM satellite-signal that multiple region-of-interest sends；The region GPM satellite-signal sending multiple region-of-interests is integrated, and obtains GPM satellite rainfall data so that target area to carry out inverting satellite rainfall data；GPM satellite rainfall data are corrected by the rainfall data sent by the remote gauged rainfall station of multiple region-of-interests；Using the GPM satellite rainfall data after correction as the input data of default hydrological model, carry out Real-time Flood Forecasting with the hydrological model by presetting.The method not only can improve the degree of accuracy of GPM satellite rainfall, and shortens the lag time obtaining satellite rainfall data, effectively ensures leading time and the reliability of flood forecasting.
Description
Technical field
The present invention relates to hydrology technology field, particularly to a kind of river basin flood Real-time Forecasting Method and predictor.
Background technology
At present, the acquisition of rainfall data depends on the observation of ground precipitation station, the observation rainfall of radar and satellite
Observation rainfall, be one of most important driving data of hydrological model, the time series length of rainfall data and data accurate
Property affects notable for the analog result of hydrological model.But, for hydrologist, rainfall data or fall to lacked
The simulation that the shortest region of rain data time series carries out hydrologic cycle is the most difficult, particularly occur in remote area or
Mountain area with a varied topography, areal rainfall station the most scantily, these areas or the maintenance for website is difficult to, cause lacking rainfall
Data or the quality of data are the best.
Summary of the invention
It is contemplated that one of technical problem solved the most to a certain extent in correlation technique.
To this end, it is an object of the present invention to propose a kind of river basin flood Real-time Forecasting Method, the method can be effective
Ground ensures the reliability of flood forecasting, simple and convenient.
Further object is that a kind of river basin flood real-time prediction device of proposition.
For reaching above-mentioned purpose, one aspect of the present invention embodiment proposes a kind of river basin flood Real-time Forecasting Method, including
Following steps: receive the whole world, the region rainfall observation plan GPM satellite-signal that multiple region-of-interest sends；To the plurality of concern
The region GPM satellite-signal that region sends is integrated, and obtains GPM so that described target area to carry out inverting satellite rainfall data
Satellite rainfall data；By the rainfall data of the remote gauged rainfall station transmission of the plurality of region-of-interest to described GPM satellite rainfall
Data are corrected；Described GPM satellite rainfall data after correcting are as the input data of default hydrological model, to pass through
Described default hydrological model carries out Real-time Flood Forecasting.
The river basin flood Real-time Forecasting Method of the embodiment of the present invention, by the cooperation in region, accepts GPM in region-of-interest
Satellite-signal, and then inverting satellite rainfall data, and utilize the real-time rainfall data of ground telemetering precipitation station in region to carry out school
Just, improve the degree of accuracy of GPM satellite rainfall data, shorten the lag time obtaining satellite rainfall data, and then by GPM satellite
Rainfall Products is applied to Real-time Flood Forecasting system, effectively ensures the reliability of flood forecasting.
It addition, river basin flood Real-time Forecasting Method according to the above embodiment of the present invention can also have following additional skill
Art feature:
Further, in one embodiment of the invention, obtained by inversion algorithm inverting satellite rainfall data described
GPM satellite rainfall data.
Alternatively, in one embodiment of the invention, the remote gauged rainfall station of region-of-interest is multiple.
For reaching above-mentioned purpose, another aspect of the present invention embodiment proposes a kind of river basin flood real-time prediction device, bag
Include: receiver module, for receiving the GPM satellite-signal that multiple region-of-interest sends；Integrate module, for the plurality of concern
The region GPM satellite-signal that region sends is integrated, and obtains GPM so that described target area to carry out inverting satellite rainfall data
Satellite rainfall data；Correction module, for the rainfall data by the remote gauged rainfall station transmission of the plurality of region-of-interest to institute
State GPM satellite rainfall data to be corrected；Forecast module, the described GPM satellite rainfall data after correcting are as presetting
The input data of hydrological model, to carry out Real-time Flood Forecasting by described default hydrological model.
The river basin flood real-time prediction device of the embodiment of the present invention, by the cooperation in region, accepts GPM in region-of-interest
Satellite-signal, and then inverting satellite rainfall data, and utilize the real-time rainfall data of ground telemetering precipitation station in region to carry out school
Just, improve the degree of accuracy of GPM satellite rainfall data, shorten the lag time obtaining satellite rainfall data, and then by GPM satellite
Rainfall Products is applied to Real-time Flood Forecasting system, effectively ensures the reliability of flood forecasting.
It addition, river basin flood real-time prediction device according to the above embodiment of the present invention can also have following additional skill
Art feature:
Further, in one embodiment of the invention, described integration module is further used for by inversion algorithm anti-
Drill satellite rainfall data and obtain described GPM satellite rainfall data.
Alternatively, in one embodiment of the invention, the remote gauged rainfall station of region-of-interest is multiple.
Aspect and advantage that the present invention adds will part be given in the following description, and part will become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Accompanying drawing explanation
The present invention above-mentioned and/or that add aspect and advantage will become from the following description of the accompanying drawings of embodiments
Substantially with easy to understand, wherein:
Fig. 1 is the flow chart of the river basin flood Real-time Forecasting Method according to one embodiment of the invention；
Fig. 2 is the flow chart of the river basin flood Real-time Forecasting Method according to one specific embodiment of the present invention；
Fig. 3 is the structural representation of the river basin flood real-time prediction device according to one embodiment of the invention.
Detailed description of the invention
Embodiments of the invention are described below in detail, and the example of described embodiment is shown in the drawings, the most from start to finish
Same or similar label represents same or similar element or has the element of same or like function.Below with reference to attached
The embodiment that figure describes is exemplary, it is intended to is used for explaining the present invention, and is not considered as limiting the invention.
The river basin flood Real-time Forecasting Method and predictor proposed according to embodiments of the present invention is described with reference to the accompanying drawings,
The river basin flood Real-time Forecasting Method proposed according to embodiments of the present invention is described the most with reference to the accompanying drawings.
Fig. 1 is the flow chart of the river basin flood Real-time Forecasting Method of one embodiment of the invention.
As it is shown in figure 1, this river basin flood Real-time Forecasting Method comprises the following steps:
In step S101, receive the whole world, the region rainfall observation plan GPM satellite-signal that multiple region-of-interest sends.
Wherein, it is big that moonscope rainfall data have observation scope, and the advantage not limited by landform.Nineteen sixty, first
Individual Tiros (TIROS1) succeeds in sending up lift-off, brings probability for satellite Retrieval precipitation data.Earlier satellite is anti-
Drill rainfall data depend on passive remote sensing observation, 1970, the torrid zone rainfall satellite (Tropical Rainfall
Measurement Mission, TRMM) it is equipped with the lift-off of spaceborne rainfall observation radar emission for the first time, for whole world rainfall monitoring
Make new milestone.TRMM satellite Rainfall Products and ground precipitation station data have certain relatedness, and in time scale
On also step up along with day, the moon, the increase of annual time scale, the precision of TRMM satellite Rainfall Products.TRMM satellite rainfall is produced
Product obtain preferably checking in many areas, and its rainfall quality of data also obtain more accreditation.
Further, whole world rainfall observation plan (Global Precipitation Measurement is called for short GPM)
Start and make Global Satellite observation rainfall more forward impelling one step, the higher temporal resolution of GPM and spatial resolution (time
Resolution is 0.5 hour, and spatial resolution is 0.1 °) and accuracy of observation more accurately so that GPM is in the hydrology, meteorology, calamity
Application more potentiality in every field such as harmful, agriculture.GPM IMERG satellite Rainfall Products utilizes ground to proofread data according to it
Difference, and the difference of rainfall data publication time lag is subdivided into three seed products, respectively IMERG Early Run,
IMERG Late Run and IMERG Final Run, wherein the ground check and correction process of IMERG Early Run utilizes history gas
Waiting data to proofread, the lag time of rainfall data acquisition is 6 hours；IMERG Late Run and IMERG Final Run
Then utilize real-time ground rainfall observation data to proofread, be respectively 18 hours and 4 the lag time of rainfall data acquisition
Month.As shown in table 1, table 1 is GPM IMERG product list.
Table 1
It is to say, as in figure 2 it is shown, laid greatly and not by ground station for GPM satellite Rainfall Products observation scope
Limit, but GPM satellite Rainfall Products requires time for due to inverting and the ground check and correction process of rainfall data, satellite rainfall data
Obtain and there is certain lag time, in an embodiment of the present invention, first receive GPM satellite-signal at region-of-interest, shorten
Obtain the lag time of satellite rainfall data.
In step s 102, the region GPM satellite-signal sent multiple region-of-interests is integrated, with to target area
Carry out inverting satellite rainfall data and obtain GPM satellite rainfall data.
It is understood that in an embodiment of the present invention, satellite-signal is integrated by the cooperation of zones of different further.
It is bright that needs are said, inversion method can have a variety of, in one embodiment of the invention, and can be by anti-
Algorithm such as GPMIMERG algorithm inverting satellite rainfall data obtain GPM satellite rainfall data.
It should be noted that above-mentioned region-of-interest is the region relevant to target area, such as adjacent area, such as target
Region is Beijing, then region-of-interest can be Hebei, say, that simple target region receives satellite-signal, but this closes
Note region may have a lot of, by the cooperation between multiple zoness of different, such as resources sharing, accelerates the speed of inverting.
In step s 103, by the rainfall data of the remote gauged rainfall station transmission of multiple region-of-interests to GPM satellite rainfall
Data are corrected.
Alternatively, in one embodiment of the invention, the remote gauged rainfall station of region-of-interest is multiple, and then improves data
Degree of accuracy.
I.e. say, in an embodiment of the present invention, further with the remote gauged rainfall station rainfall data of region-of-interest for GPM
Satellite rainfall data are corrected, and improve the degree of accuracy of GPM satellite rainfall data.
In step S104, by the GPM satellite rainfall data after correction as the input data of default hydrological model, with
Real-time Flood Forecasting is carried out by default hydrological model.It addition, the hydrological model preset can set according to practical situation
Put, the most specifically repeat at this.
Further, in an embodiment of the present invention, utilize the GPM satellite rainfall data after correction as hydrological model
Input data, carry out Real-time Flood Forecasting by hydrological model, it is achieved GPM satellite Rainfall Products is applied to Real-time Flood Forecasting
The purpose of system.
River basin flood Real-time Forecasting Method according to embodiments of the present invention, by the cooperation in region, connects in region-of-interest
By GPM satellite-signal, and then inverting satellite rainfall data, and the real-time rainfall data of ground telemetering precipitation station in region are utilized to enter
Row correction, improves the degree of accuracy of GPM satellite rainfall data, shortens the lag time obtaining satellite rainfall data, and then by GPM
Satellite Rainfall Products is applied to Real-time Flood Forecasting system, effectively ensures the reliability of flood forecasting.
The river basin flood real-time prediction device proposed according to embodiments of the present invention is described referring next to accompanying drawing.
Fig. 3 is the structural representation of the river basin flood real-time prediction device of one embodiment of the invention.
As it is shown on figure 3, this river basin flood real-time prediction device 10 includes: receiver module 100, integration module 200, straightening die
Block 300 and forecast module 400.
Wherein, receiver module 100 is for receiving the whole world, the region rainfall observation plan GPM satellite that multiple region-of-interest sends
Signal.Integrate module 200 to integrate for the region GPM satellite-signal that multiple region-of-interests are sent, with to target area
Carry out inverting satellite rainfall data and obtain GPM satellite rainfall data.Correction module 300 is for by the remote measurement of multiple region-of-interests
GPM satellite rainfall data are corrected by the rainfall data that precipitation station sends.Forecast module 400 is for defending the GPM after correction
Star rainfall data, as the input data of default hydrological model, carry out Real-time Flood Forecasting with the hydrological model by presetting.
The predictor 10 of the embodiment of the present invention not only can improve the degree of accuracy of GPM satellite rainfall, and shortens acquisition satellite fall
The lag time of rain data, effectively ensure the reliability of flood forecasting.
Further, in one embodiment of the invention, integrate module 200 to be further used for by inversion algorithm inverting
Satellite rainfall data obtain GPM satellite rainfall data.
Alternatively, in one embodiment of the invention, the remote gauged rainfall station of region-of-interest is multiple.
It should be noted that the explanation of aforementioned watershed flood forecasting embodiment of the method is also applied for this enforcement
The river basin flood real-time prediction device of example, here is omitted.
River basin flood real-time prediction device according to embodiments of the present invention, by the cooperation in region, connects in region-of-interest
By GPM satellite-signal, and then inverting satellite rainfall data, and the real-time rainfall data of ground telemetering precipitation station in region are utilized to enter
Row correction, improves the degree of accuracy of GPM satellite rainfall data, shortens the lag time obtaining satellite rainfall data, and then by GPM
Satellite Rainfall Products is applied to Real-time Flood Forecasting system, effectively ensures the reliability of flood forecasting.
In describing the invention, it is to be understood that term " " center ", " longitudinally ", " laterally ", " length ", " width ",
" thickness ", " on ", D score, "front", "rear", "left", "right", " vertically ", " level ", " top ", " end " " interior ", " outward ", " up time
Pin ", " counterclockwise ", " axially ", " radially ", the orientation of the instruction such as " circumferential " or position relationship be based on orientation shown in the drawings or
Position relationship, is for only for ease of the description present invention and simplifies description rather than instruction or imply that the device of indication or element must
Must have specific orientation, with specific azimuth configuration and operation, be therefore not considered as limiting the invention.
Additionally, term " first ", " second " are only used for describing purpose, and it is not intended that instruction or hint relative importance
Or the implicit quantity indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can express or
Implicitly include multiple this feature.In describing the invention, " multiple " are meant that at least two, such as two, three etc.,
Unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, term " install ", " being connected ", " connection ", " fixing " etc.
Term should be interpreted broadly, and connects for example, it may be fixing, it is also possible to be to removably connect, or integral；Can be that machinery connects
Connect, it is also possible to be electrical connection；Can be to be joined directly together, it is also possible to be indirectly connected to by intermediary, in can being two elements
The connection in portion or the interaction relationship of two elements, unless otherwise clear and definite restriction.For those of ordinary skill in the art
For, above-mentioned term concrete meaning in the present invention can be understood as the case may be.
In the present invention, unless otherwise clearly defined and limited, fisrt feature second feature " on " or D score permissible
It is that the first and second features directly contact, or the first and second features are by intermediary mediate contact.And, fisrt feature exists
Second feature " on ", " top " and " above " but fisrt feature directly over second feature or oblique upper, or be merely representative of
Fisrt feature level height is higher than second feature.Fisrt feature second feature " under ", " lower section " and " below " can be
One feature is immediately below second feature or obliquely downward, or is merely representative of fisrt feature level height less than second feature.
In the description of this specification, reference term " embodiment ", " some embodiments ", " example ", " specifically show
Example " or the description of " some examples " etc. means to combine this embodiment or example describes specific features, structure, material or spy
Point is contained in multiple embodiments or the example of the present invention.In this manual, to the schematic representation of above-mentioned term necessarily
It is directed to identical embodiment or example.And, the specific features of description, structure, material or feature can be at any one
Or multiple embodiment or example combine in an appropriate manner.Additionally, in the case of the most conflicting, those skilled in the art
Member the feature of the different embodiments described in this specification or example and different embodiment or example can be combined and
Combination.
Although above it has been shown and described that embodiments of the invention, it is to be understood that above-described embodiment is example
Property, it is impossible to being interpreted as limitation of the present invention, those of ordinary skill in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, revises, replaces and modification.
Claims (6)
1. a river basin flood Real-time Forecasting Method, it is characterised in that comprise the following steps:
Receive the whole world, the region rainfall observation plan GPM satellite-signal that multiple region-of-interest sends；
The region GPM satellite-signal sending the plurality of region-of-interest is integrated, so that described target area is carried out inverting
Satellite rainfall data obtain GPM satellite rainfall data；
The rainfall data sent by the remote gauged rainfall station of the plurality of region-of-interest carry out school to described GPM satellite rainfall data
Just；And
Described GPM satellite rainfall data after correcting are as the input data of default hydrological model, to be preset by described
Hydrological model carry out Real-time Flood Forecasting.
River basin flood Real-time Forecasting Method the most according to claim 1, it is characterised in that by inversion algorithm inverting satellite
Rainfall data obtain described GPM satellite rainfall data.
River basin flood Real-time Forecasting Method the most according to claim 1, it is characterised in that the remote gauged rainfall station of region-of-interest
For multiple.
4. a river basin flood real-time prediction device, it is characterised in that including:
Receiver module, for receiving the GPM satellite-signal that multiple region-of-interest sends；
Integrate module, integrate, with to described target for the region GPM satellite-signal that the plurality of region-of-interest is sent
Region carries out inverting satellite rainfall data and obtains GPM satellite rainfall data；
Correction module, for the rainfall data by the remote gauged rainfall station transmission of the plurality of region-of-interest to described GPM satellite
Rainfall data are corrected；And
Forecast module, is used for the input data as default hydrological model of the described GPM satellite rainfall data after correcting, with
Real-time Flood Forecasting is carried out by described default hydrological model.
River basin flood real-time prediction device the most according to claim 4, it is characterised in that described integration module is used further
In obtaining described GPM satellite rainfall data by inversion algorithm inverting satellite rainfall data.
River basin flood real-time prediction device the most according to claim 4, it is characterised in that the remote gauged rainfall station of region-of-interest
For multiple.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107145965A (en) * | 2017-04-10 | 2017-09-08 | 河海大学 | A kind of river flood Forecasting Methodology based on similarity mode and extreme learning machine |
| CN108920569A (en) * | 2018-06-19 | 2018-11-30 | 河海大学 | Quantitatively calibrating method of the independent error component to system deviation relative contribution rate in satellite precipitation inverting |
| CN113657557A (en) * | 2021-06-22 | 2021-11-16 | 中国电建集团华东勘测设计研究院有限公司 | Hydrological forecasting method and hydrological forecasting system based on fusion of inversion data and measured data |
| CN115079306A (en) * | 2022-05-23 | 2022-09-20 | 远景智能国际私人投资有限公司 | Lightning forecasting method, device, equipment, storage medium and computer program product |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002107462A (en) * | 2000-09-28 | 2002-04-10 | Foundation Of River & Basin Integrated Communications Japan | Rainfall food forecasting system |
| US20070143019A1 (en) * | 2004-06-30 | 2007-06-21 | Swiss Reinsurance Company | Method and system for automated location-dependent recognition of flood risks |
| CN105425319A (en) * | 2015-09-16 | 2016-03-23 | 河海大学 | Rainfall satellite rainstorm assimilation method based on ground measuring data correction |
-
2016
- 2016-07-12 CN CN201610548023.5A patent/CN106249318A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002107462A (en) * | 2000-09-28 | 2002-04-10 | Foundation Of River & Basin Integrated Communications Japan | Rainfall food forecasting system |
| US20070143019A1 (en) * | 2004-06-30 | 2007-06-21 | Swiss Reinsurance Company | Method and system for automated location-dependent recognition of flood risks |
| CN105425319A (en) * | 2015-09-16 | 2016-03-23 | 河海大学 | Rainfall satellite rainstorm assimilation method based on ground measuring data correction |
Non-Patent Citations (1)
| Title |
|---|
| 唐国强等: ""全球降水测量(GPM)计划及其最新进展综述"", 《遥感技术与应用》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107145965A (en) * | 2017-04-10 | 2017-09-08 | 河海大学 | A kind of river flood Forecasting Methodology based on similarity mode and extreme learning machine |
| CN107145965B (en) * | 2017-04-10 | 2020-01-24 | 河海大学 | River flood prediction method based on similarity matching and extreme learning machine |
| CN108920569A (en) * | 2018-06-19 | 2018-11-30 | 河海大学 | Quantitatively calibrating method of the independent error component to system deviation relative contribution rate in satellite precipitation inverting |
| CN113657557A (en) * | 2021-06-22 | 2021-11-16 | 中国电建集团华东勘测设计研究院有限公司 | Hydrological forecasting method and hydrological forecasting system based on fusion of inversion data and measured data |
| CN113657557B (en) * | 2021-06-22 | 2023-12-15 | 中国电建集团华东勘测设计研究院有限公司 | Hydrologic forecasting method and system based on inversion data and actual measurement data fusion |
| CN115079306A (en) * | 2022-05-23 | 2022-09-20 | 远景智能国际私人投资有限公司 | Lightning forecasting method, device, equipment, storage medium and computer program product |
| CN115079306B (en) * | 2022-05-23 | 2023-12-05 | 远景智能国际私人投资有限公司 | Lightning prediction method, device, apparatus, storage medium and computer program product |
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Application publication date: 20161221 |