CN102122005A - GIS-based spatial analysis and application method for similar paths of typhoon - Google Patents

GIS-based spatial analysis and application method for similar paths of typhoon Download PDF

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CN102122005A
CN102122005A CN2010105951170A CN201010595117A CN102122005A CN 102122005 A CN102122005 A CN 102122005A CN 2010105951170 A CN2010105951170 A CN 2010105951170A CN 201010595117 A CN201010595117 A CN 201010595117A CN 102122005 A CN102122005 A CN 102122005A
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typhoon
path
similar
gis
forecast
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CN102122005B (en
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汤成锋
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Four creation technology limited company
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FUJIAN STRONG SOFTWARE Co Ltd
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    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract

The invention relates to the field of the special analytical application of typhoon information, in particular to a geographic information system (GIS)-based spatial analysis and application method for similar paths of typhoon, which comprises the following steps of: (1) acquiring typhoon historical paths and forecasting paths in real time; (2) splicing path points of the typhoon, and showing by a GIS platform; (3) performing similar analysis on currently-analyzed typhoon and historical typhoon, and finding the most similar path list of the current typhoon out; (4) performing similar filtering on the future trend of the forecasting paths of the typhoon to find out the most similar path list in future development; and (5) performing frame pulling on the GIS platform, and analyzing the similar paths in a frame. The method is favorable for performing the similar analysis on the historical typhoon on the GIS platform to forecast the trend of the typhoon in the future.

Description

Based on the similar path spacing analytical applications of the typhoon of GIS method
Technical field
The present invention relates to typhoon information specialty analysis application, the similar path spacing analytical applications of particularly a kind of typhoon method based on GIS.
Background technology
China suffers one of 3 the most serious countries of typhoon influence in the world, typhoon was movable frequent in recent years, and 2005 " Dragon King ", " Malus spectabilis ", " thyrite ", " Mai Sha ", 2006 " Sang Mei ", typhoons such as " Morakots " in 2009 have all caused significant impact to provinces such as Fujian, Guangdong, Zhejiang in succession.In order effectively to prevent platform, to combat typhoon, under the organization of unity and popularization of each coastal state, each coastal state, each counties and cities all pay special attention to the real-time trend of typhoon.The formation of typhoon, tendency all follow atmospheric environment relevant usually, and certain similarity that the atmospheric environment in annual same month exists, therefore by all typhoon track data so far in 1945 are analyzed, are judged, retrieve with the current the most similar historical typhoon of typhoon that carrying out, and analyze its atmospheric environment and future trend situation at that time, thereby better instruct next step anti-platform mitigation work.
Summary of the invention
The object of the present invention is to provide the similar path spacing analytical applications of a kind of typhoon based on GIS method, this method helps on the GIS platform historical typhoon being carried out similarity analysis, thereby predicts the tendency of following typhoon.
For realizing above-mentioned purpose, the technical solution used in the present invention is: the similar path spacing analytical applications of this typhoon based on GIS method is characterized in that: may further comprise the steps:
(1) the real-time collection in historical path of realization typhoon and forecast path;
(2) splicing of carrying out typhoon track point is handled, and shows by GIS platform mode;
(3) the current typhoon of analyzing is carried out similarity analysis with historical typhoon, and find out the most similar path list of current typhoon;
(4) the similar filtration of future trend is carried out in the forecast path of typhoon, thereby found out the most similar path list of future development;
(5) be implemented in the similar path analysis of drawing on the GIS platform in the frame operation realization frame.
The invention has the beneficial effects as follows by setting up the multiaddress collection rule, and the typhoon track data are carried out data acquisition, fault-tolerant processing, warehouse-in according to rule; By historical path data of the typhoon in the searching database and forecast path data, processing is spliced in many under different time points forecast paths, set up different forecasts path tendency under each historical path point; By key node is set up in the historical path of current typhoon and forecast path, set up the GIS buffering range, historical every the typhoon node of traversal, and by drawing the similarity degree of its typhoon of frame operation judges, thereby provide reference to the future trend of current typhoon.
The present invention is described in further detail below in conjunction with drawings and the specific embodiments.
Description of drawings
Fig. 1 is the schematic flow sheet of the inventive method.
Embodiment
The similar path spacing analytical applications of typhoon based on GIS of the present invention method may further comprise the steps:
(1) the real-time collection in historical path of realization typhoon and forecast path;
(2) splicing of carrying out typhoon track point is handled, and shows by GIS platform mode;
(3) the current typhoon of analyzing is carried out similarity analysis with historical typhoon, and find out the most similar path list of current typhoon;
(4) the similar filtration of future trend is carried out in the forecast path of typhoon, thereby found out the most similar path list of future development;
(5) be implemented in the similar path analysis of drawing on the GIS platform in the frame operation realization frame.
See also Fig. 1, Fig. 1 is the method flow synoptic diagram of the invention process example, in present embodiment, the implementation method of above-mentioned steps (1) is: by setting up multi-address collection rule, typhoon track data under the domestic and international different typhoon track issues address are carried out data acquisition according to the good acquisition configuration rule of predefined, save as local character file.And carry out Data Matching according to the good regular expression rule of predefined and handle, to carry out numerical value according to the different attribute haracter data and extract, fault-tolerant processing is carried out in-stockroom operation after judging the legitimacy of its data.On gathering and since towards be polytype issue address, therefore three cover modes are arranged on the acquisition process rule: one is the extracting rule that comprises required data in the page; Two is the extracting rules that comprise many required data in the page; The 3rd, desired data is at two extracting rules more than the page.On handling, the data of having extracted judge whether meet the normal data scope by conditional plan and GIS, as: the time is no more than 6 hours, and the longitude and latitude data can not surpass in the 3 degree scopes of previous node.After reasonable processing, data are saved in the databases such as SQL, the ORACLE of appointment and ACCESS the most at last.
The implementation method of step (2) is: by historical routing table data of the typhoon in the searching database and forecast routing table data, and the multinational forecast path under the different time points spliced processing.Earlier the historical path data of typhoon is retrieved, when the mulitpath data occurring under the same time, need be selected for use the up-to-date database data of going into,, need to adopt effective solar or lunar halo radius of a last node to substitute if during the no solar or lunar halo radius data in up-to-date path.Having set up historical path needs association is carried out in the forecast path, the forecast path of every family oracle all needs to link with current up-to-date path node, when current up-to-date path node lacks family forecast path, automatically retrieve the up-to-date effective forecast node of every family oracle, and splice, it can be showed in the GIS platform smoothly.
The implementation method of step (3) is: the current typhoon of choosing is set up key node, at key node to about in 150 kilometer range (milimeter number can be adjusted as required) set up the buffering range of GIS, buffering range is carried out kilometer change the longitude and latitude processing, and buffering range is carried out the five equilibrium weighted value handle, adopt the weights of 10 key nodes in path to carry out similar score value judge (weights scope: 5,5,5,5,5,10,10,10,15,30, high more the closer to the score value of current time), historical every typhoon node of traversal then, judge the situation of its node in buffering range, if node has in buffering or be crossing with regard to the corresponding score value that adds this buffering, according to calculating its similarity, thereby find out the most similar path list of current typhoon the closer to the high more account form of coastal weights.
The implementation method of step (4) is: at the current typhoon track of choosing, can select the forecast path in a future, and buffering range is carried out in this forecast path handle, carrying out the scope weights then handles, on the basis of original step (3), forecast similar refiltering, forecast that similar is option when analyzing, the owner can not select forecast to participate in analyzing, analyze the method calculated population similarity that is worth shared different proportion at last by historical path similarity and forecast path similarity, and carry out the path analysis displaying from high to low according to similarity.Similarity weights toatl proportion is 100%, and the similar weights in historical path account for 70% when calculating the weights ratio, and the total that the similar weights in forecast path account for 30%, two kind of weights is overall similarity.
The implementation method of step (5) is: at typhoon track GIS platform analysis operation, thereby can on map, draw the frame operation to filter out the most similar typhoon in this zone of process, can realize the multiple analysis of 5 frames at most, store the route result collection of each operation by setting up path storage pool mode, can select arbitrarily to analyze again to analyzed frame, thereby satisfy professional application demand.
More than be preferred embodiment of the present invention, all changes of doing according to technical solution of the present invention when the function that is produced does not exceed the scope of technical solution of the present invention, all belong to protection scope of the present invention.

Claims (7)

1. the similar path spacing analytical applications of the typhoon based on GIS method is characterized in that: may further comprise the steps:
(1) the real-time collection in historical path of realization typhoon and forecast path;
(2) splicing of carrying out typhoon track point is handled, and shows by GIS platform mode;
(3) the current typhoon of analyzing is carried out similarity analysis with historical typhoon, and find out the most similar path list of current typhoon;
(4) the similar filtration of future trend is carried out in the forecast path of typhoon, thereby found out the most similar path list of future development;
(5) be implemented in the similar path analysis of drawing on the GIS platform in the frame operation realization frame.
2. the similar path spacing analytical applications of the typhoon based on GIS according to claim 1 method, it is characterized in that: the implementation method of step (1) is: set up the multiaddress collection rule, gather according to the good collection rule of configured in advance at the data under the different addresses by the unified service of gathering, and carry out data fault-tolerant according to rule and handle, put in storage.
3. the similar path spacing analytical applications of the typhoon based on GIS according to claim 1 method, it is characterized in that: the implementation method of step (2) is: by historical path data of the typhoon in the searching database and forecast path data, and to many under the different time points forecast paths splice processing, set up different forecasts path tendency under each historical path point, when current up-to-date path node does not have the forecast path, automatically retrieve the up-to-date effective forecast node of every family oracle, and splice, it can be showed in the GIS platform smoothly.
4. the similar path spacing analytical applications of the typhoon based on GIS according to claim 3 method, it is characterized in that: by historical path data of the typhoon in the searching database and forecast path data, when the mulitpath data occurring under the same time, need select the up-to-date database data of going into for use, if during the no solar or lunar halo radius data in up-to-date path, need to adopt effective solar or lunar halo radius of a last node to substitute.
5. the similar path spacing analytical applications of the typhoon based on GIS according to claim 1 method, it is characterized in that: the implementation method of step (3) is: current typhoon is set up key node, set up the buffering range of GIS at key node, and buffering range is carried out the five equilibrium weighted value handle, travel through historical every typhoon node then, judge the situation of its node in buffering range, if node has in buffering with regard to the corresponding score value that adds this buffering, according to calculating its similarity, thereby find out the most similar path list of current typhoon the closer to the high more account form of coastal weights.
6. the similar path spacing analytical applications of the typhoon based on GIS according to claim 1 method, it is characterized in that: in the step (4), at current typhoon, select a forecast path, and buffering range is carried out in this forecast path handle, carrying out the scope weights then handles, on the basis of described step (3), carry out similar refiltering, be worth the method calculated population similarity of shared different proportion by historical path similarity and forecast path similarity at last, and carry out path analysis from high to low according to similarity and show.
7. the similar path spacing analytical applications of the typhoon based on GIS according to claim 1 method is characterized in that: in the step (5), at the GIS platform operations, thereby can draw frame to filter out the most similar typhoon in this zone of process on map.
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Cited By (11)

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Publication number Priority date Publication date Assignee Title
CN102354003A (en) * 2011-08-31 2012-02-15 福建四创软件有限公司 Typhoon real-time acquisition method based on customized rule
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
CN103500278A (en) * 2013-09-30 2014-01-08 福建四创软件有限公司 Path similarity typhoon analysis method based on shortest path algorithm
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
CN103955009A (en) * 2014-04-25 2014-07-30 宁波市气象台 Method for extracting typhoon objective forecast information from numerical forecasting product
CN105488594A (en) * 2015-12-08 2016-04-13 南京信息工程大学 Typhoon track forecast method
CN107942407A (en) * 2017-11-14 2018-04-20 中国气象科学研究院 A kind of system for differentiating that Tropical Cyclone Route is similar
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
CN109343154A (en) * 2018-09-12 2019-02-15 中国气象科学研究院 Landing Tropical Cyclone Precipitation forecast system
CN110033132A (en) * 2019-03-29 2019-07-19 中国人民解放军空军研究院战场环境研究所 Tropical cyclone forecasting procedure based on depth targets detection and numerical weather forecast
CN114910980A (en) * 2022-06-08 2022-08-16 中国气象局上海台风研究所(上海市气象科学研究所) Tropical cyclone gale wind circle forecasting method based on subjective path strength forecasting and parameterized wind field model

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CN101770516A (en) * 2010-01-12 2010-07-07 深圳先进技术研究院 Method for excavating tropical cyclone motion track channel

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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102354003A (en) * 2011-08-31 2012-02-15 福建四创软件有限公司 Typhoon real-time acquisition method based on customized rule
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
CN103365958B (en) * 2013-05-31 2016-12-28 南京信大高科技发展有限公司 Typhoon forecast platform and typhoon track retrieval method
CN103500278B (en) * 2013-09-30 2016-08-10 福建四创软件有限公司 The similar Typhoon Analysis method in path based on shortest path first
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
CN103500278A (en) * 2013-09-30 2014-01-08 福建四创软件有限公司 Path similarity typhoon analysis method based on shortest path algorithm
CN103544379B (en) * 2013-09-30 2017-07-14 福建四创软件有限公司 Landed Typhoon similarity analysis method based on GIS
CN103955009A (en) * 2014-04-25 2014-07-30 宁波市气象台 Method for extracting typhoon objective forecast information from numerical forecasting product
CN105488594A (en) * 2015-12-08 2016-04-13 南京信息工程大学 Typhoon track forecast method
CN107942407A (en) * 2017-11-14 2018-04-20 中国气象科学研究院 A kind of system for differentiating that Tropical Cyclone Route is similar
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
CN109343154A (en) * 2018-09-12 2019-02-15 中国气象科学研究院 Landing Tropical Cyclone Precipitation forecast system
CN110033132A (en) * 2019-03-29 2019-07-19 中国人民解放军空军研究院战场环境研究所 Tropical cyclone forecasting procedure based on depth targets detection and numerical weather forecast
CN114910980A (en) * 2022-06-08 2022-08-16 中国气象局上海台风研究所(上海市气象科学研究所) Tropical cyclone gale wind circle forecasting method based on subjective path strength forecasting and parameterized wind field model
CN114910980B (en) * 2022-06-08 2023-07-18 中国气象局上海台风研究所(上海市气象科学研究所) Wind ring forecasting method based on subjective path intensity forecasting and parameterized wind field model

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