CN106772685A - Similar typhoon matching algorithm and software support system based on Web GIS - Google Patents

Similar typhoon matching algorithm and software support system based on Web GIS Download PDF

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CN106772685A
CN106772685A CN201611044583.3A CN201611044583A CN106772685A CN 106772685 A CN106772685 A CN 106772685A CN 201611044583 A CN201611044583 A CN 201611044583A CN 106772685 A CN106772685 A CN 106772685A
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typhoon
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CN106772685B (en
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邱超
丁涛
何默为
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Zhejiang Hydrological Management Center
China Jiliang University
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Zhejiang Hydrology Bureau
China Jiliang University
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    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
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Abstract

The invention discloses a kind of similar typhoon matching algorithm based on Web GIS and software support system, this system is the typhoon software support system for integrating the services such as Typhoon Information inquiry, forecast, statistics, including real-time typhoon track synchronization module, real-time typhoon track display module, real-time typhoon matching module, history typhoon contrast module, water rain the condition of a disaster enquiry module, history typhoon statistical module, data management module, user management module, data memory module, it is feature-rich perfect, with stronger realistic meaning.The invention also discloses 4 kinds of similar typhoon matching algorithms, including real-time buffer matching algorithm, feature Similarity matching algorithm, predicted path matching algorithm and comprehensive matching algorithm.System of the invention can intuitively show the contrast of current typhoon and history typhoon, flexibly practical, and the common people can be allowed to understand weather and the condition of a disaster situation that typhoon is likely to result in time, efficiently arrange defence scheduling to provide foundation for relevant department.

Description

Similar typhoon matching algorithm and software support system based on Web-GIS
Technical field
The present invention relates to meteorological model monitoring field, similar typhoon matching algorithm more particularly to based on Web GIS and soft Part supports system.
Background technology
By typhoon frequently, typhoon disaster number of times is 2.8 times every year on average, is influenceed in recent years for China southeastern coastal areas The trend that typhoon quantity and the condition of a disaster loss of coastal area are significantly increased, 2004 " Yun Na ", " Sang Mei ", 2016 in 2006 The typhoons such as year " Mo Landi " all cause significant impact to provinces such as Zhejiang, Fujian in succession, strengthen the real-time tracking of typhoon track It is extremely important with forecasting research.Additionally, it is necessary to current typhoon and the correlation circumstance of history typhoon in the research work of typhoon Substantial amounts of comparative analysis work is carried out, existing mode is that artificial enquiry history typhoon data are simultaneously according to data such as satellite cloud pictures Contrasted with current typhoon in real time one by one, so as to be found in the middle of numerous history typhoons to current real-time typhoon is similar goes through History typhoon.This working method expends substantial amounts of human resources, not only lacks strict matching standard, and artificial subjectivity is strong, and And intelligence degree is low, operating efficiency is low, and can not intuitively show the contrast of current typhoon and history typhoon.Therefore I Invented it is a kind of integrate Typhoon Information inquiry, forecast, statistics etc. service similar typhoon matching algorithm and software support System, can allow the common people to understand weather and the condition of a disaster situation that typhoon is likely to result in time, be that relevant department efficiently arranges Defence scheduling provides foundation.
The content of the invention
To solve the deficiencies in the prior art, it is an object of the invention to provide a kind of similar typhoon based on Web GIS With algorithm and software support system.
To realize above-mentioned target, the present invention is adopted the following technical scheme that:
A kind of similar typhoon software support system based on Web GIS, including real-time typhoon track synchronization module, real-time typhoon road Footpath display module, real-time typhoon matching module, history typhoon contrast module, water rain the condition of a disaster enquiry module, history typhoon statistics mould Block, data management module, user management module, data memory module, the real-time typhoon track synchronization module in server Backstage independent operating, real-time synchronization obtain the U.S., Japan, four positions of typhoon of forecast platforms forecast in Taiwan and China, wind-force, The information such as solar or lunar halo, air pressure, intensity, and store information into the corresponding storehouse table of database.
Further, database table includes typhoon position and mark sheet, State of Typhoon table, typhoon forecast table, rain condition feature Table, tidal level table, the condition of a disaster table;Typhoon forecast table and typhoon position and mark sheet are by letter in real-time typhoon synchronization program synchronous meter Breath, State of Typhoon table by data base logic sentence from typhoon position and mark sheet summary information, rain condition mark sheet, tidal level table, The condition of a disaster table can realize easily management and attended operation by the automatic or manual modification data of front end data interface page.
Further, when synchronization has many real-time typhoons, current typhoon selection function is set, from many in real time The current typhoon of selection carries out real-time typhoon matching in the middle of typhoon.
Present invention also offers a kind of similar typhoon matching for the similar typhoon software support system based on Web GIS Algorithm, real-time typhoon matching includes four kinds of similar typhoon matching algorithms, including:Real-time buffer method, feature analogue method, prediction road Shot and comprehensive matching method.
Further, the real-time buffer method, comprises the following steps:
Step 1:With current typhoon position as the center of circle, the region that a buffering radius defaults to 200 kilometers is determined;
Step 2:Calculate the key point of the history typhoon for passing through the region to the distance in the center of circle;
Step 3:It is ranked up according to the distance in step 2, it is higher apart from smaller similarity, on the contrary it is lower.If more than 2 History typhoon key point all buffering circle in, with the distance between the key point nearest from the center of circle and center of circle for standard is arranged Sequence.
Further, the feature analogue method, comprises the following steps:
Step 1:By geography it is similar premised on, be input into current typhoon buffering radius of circle, default value is 200km;
Step 2:Input matching duration(Matching duration represents the path from typhoon starting point to end point, is defaulted as 24 hours), Input matching interval(Matching interval represents the drafting interval of buffering circle, is defaulted as 24 hours), select season similar, selection moves speed Similar, selection intensity is similar;
Step 3:According to the selection in step 2, similar typhoon similarity is calculated, and be ranked up.
Further, the predicted path method, comprises the following steps:
Step 1:Based on typhoon current point, the envelope scope conduct of Taiwan, China, the U.S. and Japanese meteorological observatory predicted path Constraints, draws maximum area envelope;
Step 2:Calculate key point number and current typhoon forecast point number that each similar historical typhoon falls in estimation range The ratio between, as the similarity of predicted path method;
Step 3:It is ranked up according to the similarity in step 2.
Further, the comprehensive matching method, comprises the following steps:
Step 1:Similar typhoon is matched according to feature analogue method(S 1,S 2...,S n), the typhoon that predicted path method is matched is (T 1,T 2...,T m), occur simultaneously (Q 1,Q 2,…,Q j) it is the history typhoon that comprehensive matching algorithm search goes out;
Step 2:Obtained in calculation procedure 1 similar typhoon (Q 1,Q 2,…,Q j) similarity;
Step 3:It is ranked up according to the similarity in step 2.
The present invention is advantageous in that:Similar typhoon Comprehensive Query System based on Web GIS of the invention can be directly perceived The current typhoon of display and the contrast between history typhoon and history typhoon, easily inquire about water rain the condition of a disaster, can be gone through The statistics of history typhoon, typhoon matching process variation of the invention, meets the different demand of the focus of different crowd.
Brief description of the drawings
Fig. 1 is the illustrative view of functional configuration of the similar typhoon Comprehensive Query System of present invention design.
Fig. 2 is similar typhoon real-time buffer matching algorithm schematic diagram in the present invention.
Fig. 3 is similar typhoon feature Similarity matching algorithm schematic diagram in the present invention.
Fig. 4 is similar typhoon forecast Path Matching Algorithm schematic diagram in the present invention.
Fig. 5 is similar typhoon comprehensive matching algorithm principle figure in the present invention.
Fig. 6 is to draw envelope schematic diagram using algorithm of convex hull.
Specific embodiment
It is described in further detail for specific embodiment of the invention with reference to Figure of description.
As shown in figure 1, similar typhoon software support system of the invention is in the middle of actual application, including server End, client, real-time typhoon synchronization end;Wherein, server uses Web server, realizes handing over by http agreements and client Mutually response, sets connection DBM, current typhoon selecting module, similar typhoon matching algorithm module, water rain in server The condition of a disaster read module, typhoon statistic algorithm module, data modification module, subscriber identification module;Client can be arranged at computer, The movement such as flat board, mobile phone and immobile terminal, system can be run on each browser of these three terminals, in each terminal Include real-time typhoon track display module, matching criteria selection module, current typhoon selecting module, typhoon simple information mould respectively Block, water rain the condition of a disaster display module, history typhoon track contrast display module, history typhoon statistics display module, user management show Show module, data management display module;The real-time synchronous typhoon in real time in typhoon synchronization end is simultaneously stored, including database connection mode Block, real-time typhoon data source modules, data cache module.
In practical application, the user of client terminal is selected by the virtual key or physical button input instruction in terminal Current typhoon, triggers current typhoon selection instruction and starts working, and server receives instruction, and starts work after being parsed to it Make, the information of the selection current typhoon of transmission according to user, and current typhoon track is shown in browser interface.Next make User can choose any one kind of them as desired by button from four kinds of similar typhoon matching algorithms, carry out current typhoon matching, User can select to want the typhoon of display in front-end interface by button in all typhoons allotted.Additionally, real-time buffer Method acquiescence buffering radius is 200km, and user can be manually entered other values by button;Feature analogue method acquiescence is geographical similar slow Radius is rushed for 200km, user can be manually entered other values by button, also can be in matching duration, matching interval, season phase Seemingly, independent assortment in the similar several matching standards of fast similar, intensity is moved to be selected;Predicted path method acquiescence matching duration 24 is small When, user can manually be changed by button;Comprehensive matching method includes all matchings in feature analogue method and predicted path method Standard, user independent assortment can be selected in several matching standards.
After the similar typhoon for obtaining current typhoon, the similar typhoon of user's selection concern sends instructions to service Device, server obtains the water rain the condition of a disaster information of similar typhoon according to the numbering of the similar typhoon for obtaining from database, is sent to Front end browser, user can intuitively obtain information by graphic interface.
User in the such as time, can number, log in intensity, debarkation point etc. according to a certain information of history typhoon, pass through Key-press input character string, sends instructions to server, after server inquires related typhoon from database, transmits data to visitor Family terminal, user repeats above-mentioned steps, you can find target histories typhoon, and the matching process of history typhoon uses feature phase Like method, implementation steps are ibid.
In history typhoon statistics, for a certain place A, user can be input into typhoon scope of statistics, choosing by terminal push Typhoon statistical method is selected, " statistics " button is clicked on and is sent instructions to server, server carries out history according to the instruction for receiving The statistics of typhoon, typhoon number, with logging in A typhoon number with logging in A, the typhoon proportion on statistics influence A ground.
Keeper user can change typhoon relevant information, including typhoon basis by data management interface in client terminal Information, logon information, rain condition information, tidal level information, the condition of a disaster information etc., user pass through keying input information in front-end interface Afterwards, after server receives instruction, data are read and is deposited into the corresponding storehouse table of database.
User by help options function, can understand some essential informations of system, click on " help " button, and transmission refers to Make to server, server searches help document, is sent to front end browser and parsed in being stored from backstage, and user is Can reading documents, understanding of the enhancing to system.
As the present invention preferably, the present invention proposes following preferred embodiment:
Shown in reference picture 2, similar typhoon real-time buffer matching algorithm includes:
Step 1:Current typhoon position determines the region that a buffering radius defaults to 200 kilometers for the center of circle;
Step 2:The key point of the history typhoon for passing through the region to the distance in the center of circle is calculated, if the key point of similar typhoon 1 is arrived The distance in the center of circle isd 1, the key point of similar typhoon 2 is to the distance in the center of circled 2, then the similarity of similar typhoon 1 beS 1=(1-d 1/r) × 100%, the similarity of similar typhoon 2 isS 2=(1-d 2/r) ×100%;
Step 3:It is ranked up according to the distance in step 2, if S1>S2, then the similarity of similar typhoon 1 is than similar typhoon 2 It is high.If the history typhoon key points of more than 2 are all in buffering circle, between the key point nearest from the center of circle and the center of circle Distance is ranked up for standard.
As shown in figure 3, similar typhoon feature Similarity matching algorithm includes:
Step 1:By geography it is similar premised on, be input into current typhoon buffering radius of circle, default value is 200km;
Step 2:Input matching duration(Matching duration represents the path from typhoon starting point to end point, is defaulted as 24 hours), Input matching interval(Matching interval represents the drafting interval of buffering circle, is defaulted as 24 hours), select season similar, selection moves speed Similar, selection intensity is similar;
Step 3:According to the selection in step 2, calculating similar typhoon similarity step 3 includes:
Step 3a:To buffer the distance between the round heart and corresponding key point in every similar historical typhoon track d and buffering circle The ratio of radius r establishes similarity SSI=1- (d/r)2
Step 3b:To buffer phase of the average value of the similarity of all of key point in circle as history typhoon at the buffering circle Like spending, it is denoted asSSIR,
Step 3c:Try to achieve all ofSSIR, then its average draw the history typhoon with it is current in real time typhoon similaritySSIF,
The similarity for having obtained a similar typhoon has been calculated by step 3, other similar typhoons can have similarly been calculated Similarity, be ranked up after the completion of calculating.
As shown in figure 4, similar typhoon forecast Path Matching Algorithm includes:
Step 1:Based on typhoon current point, the envelope scope conduct of Taiwan, China, the U.S. and Japanese meteorological observatory predicted path Constraints, draws maximum area envelope, as shown in fig. 6, drawing envelope using algorithm of convex hull here, its step includes:
Step 1a:A given point set P=P 0 ,P 1 ,.....P n , find out a concentrationYYRepresent the ordinate of point)Value minimum Point, if the minimum point of Y value has multiple, may be selected whereinXXRepresent the abscissa of point)Value minimum;
Step 1b:Assuming that the point position that previous step is found outP 0, polar angle sequence is carried out to remaining point now, by polar angle counterclockwise from small To big sequence, it is assumed that ranking results collection forP 1 ,P 2 ,P 3 ,P 4 ,....P n }.Here not necessarily haveNIt is individual, because there may be several The polar angle of individual point is identical, at this moment takes evidenceP 0Away from farthest point, also or you set a polar angle threshold value, when two polar angles of point When difference is less than the threshold value, evidence is takenP 0Apart from remote point, the convex closure at this moment generating a little error, the size of error depends on you The threshold value of setting.This program does not use threshold value, so the convex closure of generation there is theoretically no error.When polar angle sequence is carried out, The polar angle of each point of genuine algorithm is not needed(Here polar angle be the point withP 0Relative toXThe angle of axle), it is only necessary to using to Measure cross product to judge, this process carrys out memory sequencing result using chained list, because this process can be inserted frequently Enter;
Step 1c:WillP 0P 1P 3Stacking,P 0P 1The two points are certainly on convex closure(Reason is very simple,P 0Without explaining,P 1Cause For it is polar angle minimum and be first point),P 2Then not necessarily on convex closure, (for (int are then circulated i=2;i< n;i++), judge that next point of stack top, stack top point, and p [i] put whether this 3 points broken lines for constituting turn left, if If, then p [i] stacking;Otherwise, the point of stack top is currently located at not on convex closure, plays stack(The process is recalled, it is ensured that before Turn to a little correct, the step is critically important, not so can not generate convex polygon), finally return to stack.
Step 2:Calculate the key point number that each similar historical typhoon falls in estimation rangenWith current typhoon forecast point NumbermThe ratio between, i.e. similarityS=n/m, as the similarity of predicted path method;
Step 3:It is ranked up according to the similarity in step 2.
As shown in figure 5, similar typhoon comprehensive matching algorithm includes:
Step 1:Similar typhoon is matched according to feature analogue method(S 1,S 2...,S n), the typhoon that predicted path method is matched is (T 1,T 2...,T m), occur simultaneously (Q 1,Q 2,…,Q j) it is the history typhoon that comprehensive matching algorithm search goes out;
Step 2:Obtained in calculation procedure 1 similar typhoon (Q 1,Q 2,…,Q j) similarity, withQ 1As a example by illustrate comprehensive Similarity with method,Q 1It is according to the similarity that feature analogue method is calculatedS 1, it is according to the similarity that predicted path method is calculatedT 1 , thenQ 1Similarity be
Step 3:Similarity according to being calculated in step 2 is ranked up.
The foregoing describe the basic principles, principal features and advantages of the present invention.Above-described embodiment is not limited in any form The present invention, all technical schemes obtained by the way of equivalent or equivalent transformation, all falls within protection scope of the present invention It is interior.

Claims (8)

1. a kind of similar typhoon software support system based on Web GIS, including real-time typhoon track synchronization module, real-time typhoon Path display module, real-time typhoon matching module, history typhoon contrast module, water rain the condition of a disaster enquiry module, history typhoon statistics Module, data management module, user management module, data memory module, it is characterised in that:The real-time typhoon track synchronization mould The typhoons forecast in server background independent operating, the real-time synchronization acquisition U.S., Japan, the four forecast platforms in Taiwan and China of block The information such as position, wind-force, solar or lunar halo, air pressure, intensity, and store information into the corresponding storehouse table of database.
2. the similar typhoon software support system of Web GIS is based on as claimed in claim 1, it is characterised in that:Database table Including typhoon position and mark sheet, State of Typhoon table, typhoon forecast table, rain condition mark sheet, tidal level table, the condition of a disaster table;Typhoon forecast , by real-time typhoon synchronization program synchronization internal information of statement, State of Typhoon table passes through data base logic for table and typhoon position and mark sheet , from typhoon position and mark sheet summary information, rain condition mark sheet, tidal level table, the condition of a disaster table can be by front end data interface pages for sentence Automatic or manual modification data, realize easily management and attended operation.
3. the similar typhoon software support system of Web GIS is based on as claimed in claim 1, it is characterised in that:When with for the moment When there is many real-time typhoons quarter, current typhoon selection function is set, selects current typhoon to carry out from the middle of many real-time typhoons Real-time typhoon matching.
4. a kind of similar typhoon of the similar typhoon software support system based on Web GIS for such as one of claim 1-3 With algorithm, it is characterised in that:Real-time typhoon matching includes four kinds of similar typhoon matching algorithms, including:Real-time buffer method, feature Analogue method, predicted path method and comprehensive matching method.
5. similar typhoon matching algorithm as claimed in claim 4, it is characterised in that:The real-time buffer method, including it is as follows Step:
Step 1:With current typhoon position as the center of circle, the region that a buffering radius defaults to 200 kilometers is determined;
Step 2:Calculate the key point of the history typhoon for passing through the region to the distance in the center of circle;
Step 3:It is ranked up according to the distance in step 2, it is higher apart from smaller similarity, on the contrary it is lower;
If the history typhoon key points of more than 2 are all in buffering circle, between the key point nearest from the center of circle and the center of circle Distance be ranked up for standard.
6. similar typhoon matching algorithm as claimed in claim 5, it is characterised in that:The feature analogue method, including following step Suddenly:
Step 1:By geography it is similar premised on, be input into current typhoon buffering radius of circle, default value is 200km;
Step 2:Input matching duration(Matching duration represents the path from typhoon starting point to end point, is defaulted as 24 hours), Input matching interval(Matching interval represents the drafting interval of buffering circle, is defaulted as 24 hours), select season similar, selection moves speed Similar, selection intensity is similar;
Step 3:According to the selection in step 2, similar typhoon similarity is calculated, and be ranked up.
7. similar typhoon matching algorithm as claimed in claim 6, it is characterised in that:The predicted path method, including following step Suddenly:
Step 1:Based on typhoon current point, the envelope scope conduct of Taiwan, China, the U.S. and Japanese meteorological observatory predicted path Constraints, draws maximum area envelope;
Step 2:Calculate key point number and current typhoon forecast point number that each similar historical typhoon falls in estimation range The ratio between, as the similarity of predicted path method;
Step 3:It is ranked up according to the similarity in step 2.
8. similar typhoon matching algorithm as claimed in claim 7, it is characterised in that:The comprehensive matching method, including following step Suddenly:
Step 1:Similar typhoon is matched according to feature analogue method(S 1,S 2...,S n), the typhoon that predicted path method is matched is (T 1,T 2...,T m), occur simultaneously (Q 1,Q 2,…,Q j) it is the history typhoon that comprehensive matching algorithm search goes out;
Step 2:Obtained in calculation procedure 1 similar typhoon (Q 1,Q 2,…,Q j) similarity;
Step 3:It is ranked up according to the similarity in step 2.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108304680A (en) * 2018-03-09 2018-07-20 中国计量大学 A kind of Sewage outlet planning simulation and evaluation system based on WebGIS
CN109063894A (en) * 2018-06-26 2018-12-21 广西电网有限责任公司电力科学研究院 A kind of typhoon tracks forecast display system for power grid
CN109146995A (en) * 2018-08-13 2019-01-04 长沙矿冶研究院有限责任公司 A kind of typhoon distribution drawing drawing method and system
CN109297470A (en) * 2018-10-19 2019-02-01 中国计量大学 It is a kind of based on kinetic factor typhoon matching algorithm similar to routing information
CN110333554A (en) * 2019-07-10 2019-10-15 南京恩瑞特实业有限公司 NRIET heavy rain intelligence similarity analysis method
CN111221819A (en) * 2019-12-27 2020-06-02 中国电子科技集团公司第十四研究所 Similar typhoon fast matching method based on multi-dimensional data space segmentation
CN111275234A (en) * 2019-10-16 2020-06-12 防城港市气象局 Typhoon integrated information service system
CN107609707B (en) * 2017-09-20 2021-02-02 四创科技有限公司 Flood forecasting and disaster prevention decision method and system
CN114384611A (en) * 2022-01-20 2022-04-22 中国气象局地球系统数值预报中心 Typhoon simulation area determining method and device, electronic equipment and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101634721A (en) * 2009-04-15 2010-01-27 华东师范大学第二附属中学 Historical data based intelligent early warning system for typhoon and flood
CN102156308A (en) * 2011-03-09 2011-08-17 南京恩瑞特实业有限公司 Method for discriminating typhoon path
CN103365958A (en) * 2013-05-31 2013-10-23 南京信大高科技发展有限公司 Typhoon forecasting platform and typhoon track retrieval method
CN103544379A (en) * 2013-09-30 2014-01-29 福建四创软件有限公司 Typhoon landing similarity analytical method based on GIS
CN104932035A (en) * 2015-05-26 2015-09-23 中国科学院深圳先进技术研究院 Typhoon intensity prediction method and system
CN104992434A (en) * 2015-06-23 2015-10-21 国家卫星气象中心 Method for performing typhoon location on current satellite image according to history satellite image
CN105425320A (en) * 2015-11-10 2016-03-23 中国科学院深圳先进技术研究院 Probabilistic forecasting method and system of coastal gale caused by tropical cyclone

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101634721A (en) * 2009-04-15 2010-01-27 华东师范大学第二附属中学 Historical data based intelligent early warning system for typhoon and flood
CN102156308A (en) * 2011-03-09 2011-08-17 南京恩瑞特实业有限公司 Method for discriminating typhoon path
CN103365958A (en) * 2013-05-31 2013-10-23 南京信大高科技发展有限公司 Typhoon forecasting platform and typhoon track retrieval method
CN103544379A (en) * 2013-09-30 2014-01-29 福建四创软件有限公司 Typhoon landing similarity analytical method based on GIS
CN104932035A (en) * 2015-05-26 2015-09-23 中国科学院深圳先进技术研究院 Typhoon intensity prediction method and system
CN104992434A (en) * 2015-06-23 2015-10-21 国家卫星气象中心 Method for performing typhoon location on current satellite image according to history satellite image
CN105425320A (en) * 2015-11-10 2016-03-23 中国科学院深圳先进技术研究院 Probabilistic forecasting method and system of coastal gale caused by tropical cyclone

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
佘亮亮: ""基于WebGIS的宁波市历史台风相似路径分析"", 《浙江水利科技》 *
向云露: ""基于WebGIS的台风信息检索系统研究与实现"", 《中国优秀硕士学位论文全文数据库》 *
胡龙平: ""西北太平洋热带气旋检索分析WebGIS开发研究"", 《中国优秀硕士学位论文全文数据库基础科学辑》 *
郑晓阳等: ""基于WebGIS的台风信息服务系统研究"", 《上海水务》 *
郑晓阳等: ""基于WebGIS的台风信息服务系统研究与应用"", 《城市道桥与防洪》 *
陈振东: ""台风预报系统关键技术的研究与实现"", 《中国优秀硕士学位论文全文数据库》 *

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CN108304680B (en) * 2018-03-09 2021-11-02 中国计量大学 WebGIS-based sewage discharge port planning simulation and evaluation system
CN108304680A (en) * 2018-03-09 2018-07-20 中国计量大学 A kind of Sewage outlet planning simulation and evaluation system based on WebGIS
CN109063894A (en) * 2018-06-26 2018-12-21 广西电网有限责任公司电力科学研究院 A kind of typhoon tracks forecast display system for power grid
CN109146995A (en) * 2018-08-13 2019-01-04 长沙矿冶研究院有限责任公司 A kind of typhoon distribution drawing drawing method and system
CN109297470B (en) * 2018-10-19 2021-01-29 中国计量大学 Similar typhoon matching algorithm based on power factors and path information
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CN110333554B (en) * 2019-07-10 2021-10-22 南京恩瑞特实业有限公司 NRIET rainstorm intelligent similarity analysis method
CN110333554A (en) * 2019-07-10 2019-10-15 南京恩瑞特实业有限公司 NRIET heavy rain intelligence similarity analysis method
CN111275234A (en) * 2019-10-16 2020-06-12 防城港市气象局 Typhoon integrated information service system
CN111221819A (en) * 2019-12-27 2020-06-02 中国电子科技集团公司第十四研究所 Similar typhoon fast matching method based on multi-dimensional data space segmentation
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