CN107728149B - Method for adaptively detecting tornado by radar - Google Patents
Method for adaptively detecting tornado by radar Download PDFInfo
- Publication number
- CN107728149B CN107728149B CN201710850745.0A CN201710850745A CN107728149B CN 107728149 B CN107728149 B CN 107728149B CN 201710850745 A CN201710850745 A CN 201710850745A CN 107728149 B CN107728149 B CN 107728149B
- Authority
- CN
- China
- Prior art keywords
- tornado
- radars
- triangle
- adjacent
- points
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses a method for detecting tornadoes by radar adaptability, which comprises the following steps: selecting N points in a tornado launching area, wherein the distance between adjacent points is 60-100 kilometers, every three adjacent points form a triangle, N mobile weather radars are respectively arranged at the points, every three adjacent radars form a group in the time when no tornado is generated, the triangular area is scanned simultaneously, and three-dimensional detection data are obtained through sequential cooperative observation; when a tornado occurs, the positions of the mobile weather radars are adjusted, so that the N mobile weather radars are arranged into a triangular arrangement mode by every three adjacent points along the possible moving direction of the tornado within the range of 20-40 kilometers of the distance between the adjacent weather radars, the tornado enters the triangle, and the three radars start scanning the corresponding triangle at the same time. The method can solve the technical problems of large coverage area, quick time for reaching an observation point, complete acquisition of the three-dimensional flow field of the tornado and the like when the tornado is observed.
Description
Technical Field
The invention relates to a meteorological detection technology, in particular to a method for detecting tornadoes by radars.
Background
The traditional radar detection tornado mode: one is that one or more weather radars are fixedly arranged in a tornado multi-emission area to wait for the occurrence or immigration of tornados to detect; the other is that one or several mobile weather radars go to the tornado occurrence area to detect when a tornado occurs or is likely to occur. The former is equivalent to a conservative rabbit, and the capture efficiency is low. The latter has mobility and high capture efficiency. However, each radar detects the flow field independently, and effective three-dimensional flow field information cannot be obtained.
Disclosure of Invention
The invention aims to provide a method for detecting a tornado by radar adaptability, which aims to solve the technical problems of large coverage area, quick time for reaching an observation point, complete acquisition of a three-dimensional flow field of the tornado and the like during observation of the tornado.
In order to achieve the purpose of the invention, the technical scheme adopted by the invention is as follows:
selecting N points in a tornado launching area, wherein the distance between adjacent points is 60-100 kilometers, every three adjacent points form a triangle, N mobile weather radars are respectively arranged at the points, every three adjacent radars form a group in the time when no tornado is generated, the triangular area is scanned simultaneously, and three-dimensional detection data are obtained through sequential cooperative observation; when a tornado occurs, the positions of the mobile weather radars are adjusted, so that the N mobile weather radars are arranged into a triangular arrangement mode by every three adjacent points along the possible moving direction of the tornado within the range of 20-40 kilometers of the distance between the adjacent weather radars, the tornado enters the triangle, and the three radars start scanning the corresponding triangle at the same time.
The invention has the advantages and positive effects that:
(1) and (4) combining static and dynamic. The coverage range is large when the observation is fixed, and the distance between radars is 60-100 kilometers; when the device is observed in a moving mode, the radar distance is about 30 kilometers, and the azimuth resolution is obviously improved.
(2) In normal times, the distributed layout of the mobile radar ensures that the moving path is short when the tornado occurs, the time for reaching a detection point is fast, and the tornado can be effectively captured.
(3) The three radars detect the tornado simultaneously, and can completely acquire the three-dimensional flow field of the tornado.
Drawings
FIG. 1 is a schematic diagram of the distribution of the present invention when no tornado is occurring.
FIG. 2 is a schematic diagram of the location and direction of the occurrence of the tornado of the present invention.
FIG. 3 is one of the schematic illustrations of the present invention deployed after the reel has moved as shown in FIG. 2.
Fig. 4 shows the second purpose of the position and direction of the tornado.
FIG. 5 is a second schematic view of the present invention showing the arrangement of the reel after the reel is moved as shown in FIG. 4.
Detailed Description
The specific detection method of the invention is as follows:
firstly, selecting N points in a tornado launching area, wherein the distance between adjacent points is 60-100 kilometers, forming a triangle (preferably an equilateral triangle) by every three points, respectively arranging N mobile weather radars at the points, and cooperatively observing every three adjacent radars in a group in the time when the tornado is not generated to obtain three-dimensional detection data. See fig. 1, which shows a layout diagram when N = 6.
The combination of co-observations and the scan order were: (1) the 1, 3 and 4 radars scan the triangle formed by the 1, 3 and 4 radars at the same time; (2) the 1, 2 and 4 radars scan the triangle formed by the 1, 2 and 4 radars at the same time; (3) the 3, 5 and 4 radars scan the triangle formed by the 3, 5 and 4 radars simultaneously; (4) the 4, 5 and 6 radars scan the triangle formed by the 4, 5 and 6 simultaneously. And then returning to the step (1) again, and repeating the steps.
When a tornado occurs, if the tornado may occur at the position shown by the arrow as shown in fig. 2, and the moving direction is also shown by the arrow, then the moving radar moves rapidly through the road to form the layout of fig. 3, the distance between adjacent radars is about 30 km, and every three adjacent radars form a triangle.
When the tornado enters a triangle formed by a certain three adjacent radars, the three radars start to scan the triangle at the same time, and if the tornado is positioned among the triangles formed by the radars 1, 2 and 3, the radars 1, 2 and 3 scan at the same time to obtain three-dimensional detection data; when the tornado enters the triangle formed by the radars 2, 3 and 4, the radars 2, 3 and 4 scan simultaneously to obtain three-dimensional detection data.
If the tornado occurs in the position shown in fig. 4, the mobile radars move rapidly through the road, forming the layout shown in fig. 5, with a distance of about 30 km between adjacent radars, every third adjacent radar forming a triangle. Radars 1, 3, 4; 1. 4, 2; 2. 4, 6; 4. 5 and 6 respectively form 4 triangles. The tornado enters that triangle and those three radars start scanning the corresponding triangle at the same time.
In fig. 1 to 5, a represents land and B represents sea.
Claims (2)
1. A method for detecting tornadoes by radar adaptability comprises the following steps:
selecting N points in a tornado launching area, wherein the distance between adjacent points is 60-100 kilometers, every three adjacent points form a triangle, N mobile weather radars are respectively arranged at the points, every three adjacent radars form a group in the time when no tornado is generated, the triangular area is scanned simultaneously, and three-dimensional detection data are obtained through sequential cooperative observation; when a tornado occurs, the positions of the mobile weather radars are adjusted, so that the N mobile weather radars are arranged into a triangular arrangement mode by every three adjacent points along the possible moving direction of the tornado within the range of 20-40 kilometers of the distance between the adjacent weather radars, and the tornado enters into which triangle, and the three radars start scanning the corresponding triangle at the same time.
2. The method for radar-adaptive detection of tornadoes according to claim 1, wherein every three points form a triangle and the arrangement mode is an equilateral triangle.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710850745.0A CN107728149B (en) | 2017-09-20 | 2017-09-20 | Method for adaptively detecting tornado by radar |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710850745.0A CN107728149B (en) | 2017-09-20 | 2017-09-20 | Method for adaptively detecting tornado by radar |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107728149A CN107728149A (en) | 2018-02-23 |
CN107728149B true CN107728149B (en) | 2021-10-22 |
Family
ID=61207654
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710850745.0A Active CN107728149B (en) | 2017-09-20 | 2017-09-20 | Method for adaptively detecting tornado by radar |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107728149B (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2585244Y (en) * | 2002-08-15 | 2003-11-05 | 武汉佳盈科技开发有限公司 | Wind measuring radar |
CN103323850A (en) * | 2013-05-28 | 2013-09-25 | 芜湖航飞科技股份有限公司 | Double-linear polarization Doppler weather radar system |
CN104730524A (en) * | 2015-03-11 | 2015-06-24 | 马舒庆 | Array weather radar detection system and method |
WO2017145587A1 (en) * | 2016-02-25 | 2017-08-31 | 古野電気株式会社 | Detection-information processing device, meteorological observation system, mobile-body monitoring system, and detection-information processing method |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2949867B1 (en) * | 2009-09-04 | 2012-04-27 | Thales Sa | MULTIFUNCTION AIRBORNE RADAR DEVICE WITH BROADBAND LARGE ANGULAR COVERAGE FOR DETECTION AND TRACKING, IN PARTICULAR FOR A DETECTION AND EVACUATION FUNCTION |
FR2960650B1 (en) * | 2010-05-25 | 2013-11-29 | Airbus Operations Sas | DEVICE FOR CONTROLLING THE DISPLAY OF IMAGE OF A WEATHER RADAR IN AN AIRCRAFT |
WO2014144331A1 (en) * | 2013-03-15 | 2014-09-18 | The Board Of Regents Of The University Of Oklahoma | System and method for tornado prediction and detection |
CN103344957B (en) * | 2013-06-14 | 2015-10-14 | 张永刚 | A kind of waveguide over the horizon wave monitoring radar |
CN104035100B (en) * | 2014-04-30 | 2017-01-04 | 电子科技大学 | The cooperative detection system optimum Topological Structure Generation merged based on target property |
CN106304108B (en) * | 2016-07-27 | 2019-06-14 | 电子科技大学 | MIMO radar mobile platform fast reserve dispositions method based on variation monitoring demand |
CN106324601B (en) * | 2016-08-08 | 2019-04-09 | 北京无线电测量研究所 | A kind of dimensional wind inversion method based on wind profile radar networking |
-
2017
- 2017-09-20 CN CN201710850745.0A patent/CN107728149B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2585244Y (en) * | 2002-08-15 | 2003-11-05 | 武汉佳盈科技开发有限公司 | Wind measuring radar |
CN103323850A (en) * | 2013-05-28 | 2013-09-25 | 芜湖航飞科技股份有限公司 | Double-linear polarization Doppler weather radar system |
CN104730524A (en) * | 2015-03-11 | 2015-06-24 | 马舒庆 | Array weather radar detection system and method |
WO2017145587A1 (en) * | 2016-02-25 | 2017-08-31 | 古野電気株式会社 | Detection-information processing device, meteorological observation system, mobile-body monitoring system, and detection-information processing method |
Non-Patent Citations (1)
Title |
---|
"沈阳市移动气象台设计与实施";尹佐臣 等;《气象》;20061031;第32卷(第10期);第108-109页 * |
Also Published As
Publication number | Publication date |
---|---|
CN107728149A (en) | 2018-02-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104730524A (en) | Array weather radar detection system and method | |
CN109387834B (en) | Dam damage detection method for underground reservoir and electronic equipment | |
CN103528570A (en) | Spatial distribution acquiring method and system for spartina alterniflora in northern sea area of Guangxi | |
CN107741587A (en) | A kind of meteorological detection method and system of dimensional wind | |
CN104677565A (en) | Method for detecting damage and leakage of anti-leakage layer of burial field | |
CN104155635A (en) | Ground penetrating radar single-channel electromagnetic spectrum three-dimensional positioning method | |
CN110275140A (en) | Satellite-borne SAR beam sweeping method based on parabola antenna | |
CN107728149B (en) | Method for adaptively detecting tornado by radar | |
CN106097292A (en) | Sequential SAR space-time neighborhood Gauss Weighted median filtering speckle is made an uproar suppression fast algorithm | |
Narayanan et al. | Imaging observations of upper mesospheric nightglow emissions from Tirunelveli (8.7 o N) | |
CN102955153A (en) | Method for testing detection capability of remote distance support interference equipment based on sector silence | |
CN205176297U (en) | A three -dimensional imaging device for power transmission line protection | |
US9575200B2 (en) | Apparatus and method for non-invasive real-time subsoil inspection | |
CN111692922A (en) | Unmanned aerial vehicle defense system based on electromagnetic fence technology | |
Rison et al. | Observations of corona discharges from wind turbines | |
US20220018953A1 (en) | Method and apparatus for blurring effect mitigation in ground-based radar images | |
Lojou et al. | Total lightning mapping using both VHF interferometry and time-of-arrival techniques | |
CN212692691U (en) | Unmanned aerial vehicle defense system based on electromagnetic fence technology | |
Wang et al. | Multi-channnel and MIMO SAR anti-jamming analysis | |
CN109270557B (en) | Multi-base-station target course inversion method based on GNSS forward scattering characteristics | |
Nakamura et al. | Development and initial observations of a long-period VHF broadband digital interferometer | |
Torres et al. | 8.2 NEW WEATHER-SURVEILLANCE CAPABILITIES FOR NSSL’S PHASED-ARRAY RADAR | |
Kurdzo et al. | High temporal resolution polarimetric radar observations of the 20 May 2013 Newcastle–Moore, Oklahoma EF-5 tornado using the PX-1000 | |
Kobayashi et al. | Damage detection of the great east Japan earthquake by the airborne SAR (PI-SAR2) of NICT | |
Brotzge et al. | Genesis of the Chickasha, Oklahoma, Tornado on 24 May 2011 as Observed by CASA Radar and Oklahoma Mesonet. |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |