CN114895358A - Earthquake and tsunami rapid early warning method and system - Google Patents

Earthquake and tsunami rapid early warning method and system Download PDF

Info

Publication number
CN114895358A
CN114895358A CN202210817736.2A CN202210817736A CN114895358A CN 114895358 A CN114895358 A CN 114895358A CN 202210817736 A CN202210817736 A CN 202210817736A CN 114895358 A CN114895358 A CN 114895358A
Authority
CN
China
Prior art keywords
tsunami
earthquake
calculating
seismic source
early warning
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.)
Granted
Application number
CN202210817736.2A
Other languages
Chinese (zh)
Other versions
CN114895358B (en
Inventor
白晔斐
刘英男
魏笑然
房欣
刘金伟
支泓欢
周一帆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hainan Institute of Zhejiang University
Original Assignee
Hainan Institute of Zhejiang University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hainan Institute of Zhejiang University filed Critical Hainan Institute of Zhejiang University
Priority to CN202210817736.2A priority Critical patent/CN114895358B/en
Publication of CN114895358A publication Critical patent/CN114895358A/en
Application granted granted Critical
Publication of CN114895358B publication Critical patent/CN114895358B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/38Seismology; Seismic or acoustic prospecting or detecting specially adapted for water-covered areas
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/30Analysis
    • 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
    • Y02A50/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather

Abstract

The invention relates to an earthquake tsunami rapid early warning method, which comprises the following steps: acquiring longitude and latitude, magnitude and seismic source depth of the epicenter position; calculating the length, width and slippage of the rectangular fracture belt by an empirical formula according to the magnitude of the epicenter position; according to the longitude and latitude of the epicenter position, the SIFT seismic source plate to which the earthquake belongs is judged; calculating the length, width and slippage of a rectangular fracture zone obtained by combining a strike angle, a slippage angle and an inclination angle of an SIFT seismic source plate belonging to the epicenter position with an empirical formula, and calculating the deformation of the sea bottom by applying an Okada model; applying a static pressure NEOWAVE model to numerically simulate the tsunami propagation process; according to the propagation and evolution conditions of the tsunami, evaluating the risk level of the tsunami; and an early warning system corresponding to the method; the tsunami early warning method and the tsunami early warning system based on the invention have the characteristics of low cost, high calculation speed, high accuracy and the like.

Description

Earthquake and tsunami rapid early warning method and system
Technical Field
The invention relates to the field of tsunami early warning and marine informatization services, in particular to a method and a system for quickly early warning earthquake tsunami.
Background
The tsunami wave height and arrival time database of earthquake excitation of each unit of the fracture zone is established based on numerical simulation, and tsunami basic parameters are inverted according to the early monitoring result of the earthquake tsunami, so that the tsunami early warning method is a key technology for developing a tsunami early warning system and is also a tsunami inversion early warning method which is commonly adopted in the world. Meanwhile, the technology is also applied to the fine simulation and research of the seismic source. Aiming at tsunami early warning research, most of the tsunami early warning research is carried out by establishing a tsunami early warning database, and calculating the sliding quantity of a fault by a green function inverse problem and combining a multi-buoy inversion method. And the fault sliding is also calculated by calculating the inversion of a unit plate, a buoy and a satellite.
The construction process of the tsunami database in south China sea mainly comprises the steps of dividing a potential Manila gully seismic source into a plurality of unit plates, taking unit sliding of each unit plate as an independent seismic source to carry out numerical simulation of tsunami, recording time sequences of buoy positions and tsunami wave heights of main monitoring points, and forming the tsunami database. If an earthquake occurs, the data monitored by the buoy is used for quick inversion and tsunami early warning is issued.
At present, single-buoy inversion is mainly adopted in the tsunami early warning method for south China sea, the single-buoy early warning method can well predict single plate earthquake with about eight levels, but if a large earthquake with a higher earthquake level occurs, the fracture zone range is large, and the single-buoy inversion is difficult to predict accurately. Meanwhile, the tsunami is early warned by buoy inversion, so that a buoy platform is constructed at high cost, and a database is often established for potential tsunami sources through a large amount of numerical calculation.
Disclosure of Invention
In order to solve the technical problems, the invention establishes a method and an early warning system which can quickly early warn sudden tsunami without building a buoy platform and building a tsunami database according to the basic characteristics of a seismic source in a tsunami short-term flooding forecast (SIFT) system, and specifically comprises the following steps:
a rapid early warning method for earthquake tsunami comprises the following steps:
acquiring longitude and latitude, magnitude and seismic source depth of the epicenter position;
calculating the length, width and slippage of the rectangular fracture belt by an empirical formula according to the magnitude of the epicenter position;
judging the SIFT seismic source plate to which the earthquake belongs according to the longitude and latitude of the epicenter position to obtain seismic source plate parameters of the SIFT seismic source plate to which the epicenter position belongs;
calculating the seabed deformation data by using an Okada model according to the seismic source plate parameters and the length, width and slippage of the rectangular fracture zone calculated by an empirical formula;
simulating a tsunami propagation process according to the seabed deformation data;
and evaluating the tsunami risk level of the coastal city according to the tsunami propagation process.
Further, the source plate parameters include: strike angle, bank angle and slip angle.
Further, the step of calculating the length, the width and the slippage of the rectangular fracture band according to the magnitude of the epicenter position by an empirical formula specifically comprises:
a. magnitude of earthquake
Figure 979463DEST_PATH_IMAGE001
Conversion into seismic moments
Figure 970421DEST_PATH_IMAGE002
Figure 371447DEST_PATH_IMAGE003
b. Determining the area of the earthquake fault zoneS
Figure 577825DEST_PATH_IMAGE004
c. According to area of earthquake fault zoneSRecombination fracture zone lengthLAnd width of broken beltWEmpirical proportional relationship ofW/L= 0.2423Calculating the length of the earthquake fault zoneL
Figure 75802DEST_PATH_IMAGE005
d. Calculating the width of the fracture zone
Figure 690192DEST_PATH_IMAGE006
e. Calculating the amount of slip
Figure 565132DEST_PATH_IMAGE007
Wherein
Figure 369009DEST_PATH_IMAGE008
Is the shear modulus.
And further, sending an early warning signal to an area exceeding the preset risk level according to the evaluated risk level of the tsunami.
Further, the simulation of the tsunami propagation process is specifically performed by using a static pressure NEOWAVE numerical model.
An earthquake tsunami rapid early warning system, comprising:
the epicenter information acquisition module: the method comprises the steps of obtaining longitude and latitude, magnitude and seismic source depth of a seismic center position;
fracture zone size calculation module: the method is used for calculating the length, the width and the slippage of the rectangular fracture belt by an empirical formula according to the magnitude of the epicenter position;
the seismic source plate judging module: the earthquake source plate parameter judging device is used for judging the SIFT earthquake source plate to which the earthquake belongs according to the longitude and latitude of the earthquake center position to obtain the earthquake source plate parameter of the SIFT earthquake source plate to which the earthquake center position belongs;
the seabed deformation calculation module: the system is used for calculating the seabed deformation data by combining the seismic source plate parameters obtained by the seismic source plate judging module with the length, width and slippage of the rectangular fracture zone calculated by the fracture zone size calculating module and applying an Okada model;
tsunami propagation simulation module: the method is used for simulating a tsunami propagation process according to the seabed deformation data and evaluating the tsunami risk level.
Further, the source plate parameters include: strike angle, bank angle and slip angle.
Further, the step of calculating the length, the width and the slippage of the rectangular fracture band according to the magnitude of the epicenter position by an empirical formula specifically comprises:
a. magnitude of earthquake
Figure 393596DEST_PATH_IMAGE001
Conversion into seismic moments
Figure 913308DEST_PATH_IMAGE002
:
Figure 23347DEST_PATH_IMAGE009
b. Determining the area of the earthquake fault zoneS:
Figure 368265DEST_PATH_IMAGE010
c. According to area of earthquake fault zoneSRecombination fracture zone lengthLAnd width of broken beltWEmpirical proportional relationship ofW/L= 0.2423Calculating the length of the earthquake fault zoneL:
Figure 762206DEST_PATH_IMAGE005
d. Calculating the width of the fracture zone
Figure 469131DEST_PATH_IMAGE006
e. Calculating the amount of slip
Figure 66465DEST_PATH_IMAGE011
Wherein
Figure 212145DEST_PATH_IMAGE008
Is the shear modulus.
And further, the system also comprises an early warning signal sending module which is used for sending an early warning signal to an area exceeding the preset danger level according to the evaluated tsunami danger level.
Further, the simulation of the tsunami propagation process is specifically performed by using a static pressure NEOWAVE numerical model.
The tsunami early warning method and the tsunami early warning system based on the invention have the following technical effects:
the cost is low, a buoy platform with high price does not need to be built, and a database is not needed to be built for potential tsunami sources through a large amount of numerical calculation. The method has low early warning cost, can be widely applied to various fracture zones with tsunami risks, and provides reference for research of tsunami early warning.
The calculation speed is high, and the tsunami can be completed within 10 minutes in a 6-hour propagation process. And the calculation speed is high, people in related areas can be evacuated quickly, related disaster prevention and reduction measures are implemented in time, and reference is provided for tsunami early warning work in various coastal areas.
The tsunami short-term inundation forecasting method has high accuracy, and seismic source parameters (the trend angle, the inclination angle and the slip angle) of a region with potential earthquake risk in a tsunami short-term inundation forecasting (SIFT) system are applied to the Okada model, so that the problem that the parameters such as the trend angle, the inclination angle and the slip angle cannot be judged only by applying an empirical formula when the tsunami is subjected to an earthquake in a certain place and the seabed deformation is solved, and the accuracy of actual tsunami simulation is guaranteed.
Drawings
The accompanying drawings, in which like references indicate similar elements, illustrate exemplary embodiments of the invention and, together with the description, serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flow chart of tsunami rapid warning based on SIFT seismic source plate parameters;
FIG. 2 is a schematic view of the fracture zone parameters of the present invention;
FIG. 3 is a diagram of a tsunami rapid warning system based on SIFT seismic source plate parameters;
FIG. 4 is a graph of maximum tsunami wave height comparison of Mw8.0 tsunami numerical simulations using a Newave numerical model for the E1-E4 seismic source parameters of Liu et al and the A1-A4 seismic source parameters of the present invention.
Detailed Description
In the present invention, the term "and/or" is intended to cover all possible combinations and sub-combinations of the listed elements, including any one, any sub-combination, or all of the elements listed individually, without necessarily excluding other elements. Unless otherwise specified, the terms "first", "second", and the like are used to describe various elements and are not intended to limit the positional relationship, timing relationship, or importance relationship of the elements, and such terms are used merely to distinguish one element from another. Unless otherwise indicated, the terms "front, back, upper, lower, left, right" and the like indicate orientations or positional relationships that are generally based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, and are not to be construed as limiting the scope of the present invention.
The invention takes a tsunami short-term flood forecasting (SIFT) system seismic source plate of a PMEL (Pacific Marine Environmental laboratory) of the American Pacific ocean Environmental research center as a tsunami source (https:// SIFT. The seismic source database was originally compiled by the tsunami short-term flood forecast (SIFT) system by gca et al, NOAA, including all known potential seismic sources of the pacific, atlantic and indian oceans. Taking the manila sea ditch most concerned by tsunami disasters in south China sea as an example, a manila sea ditch SIFT seismic source is composed of 22 seismic source plates with the length of 100km and the width of 50km, and the parameters are specifically shown in Table 1.
TABLE 1 prediction system for short term PMEL tsunami inundation in Manila gully seismic source plate data
Figure 932364DEST_PATH_IMAGE012
Figure 888818DEST_PATH_IMAGE013
As shown in FIG. 1, the tsunami warning method is mainly used for rapidly early warning tsunamis based on rapid determination, parallel calculation and visualization technology of SIFT seismic source plate parameters. Among these, the most important is the rapid determination of the rectangular fracture zone parameters. FIG. 2 shows the fracture zone parameters required for early warning, including strike angleθAngle of inclinationδSliding angleλSeismic source depth H, fracture zone lengthLAnd widthWAnd amount of slipD. If an earthquake occurs, the latitude and longitude of the epicenter and the magnitude of the earthquake
Figure 222717DEST_PATH_IMAGE014
May be obtained first. Magnitude of vibration
Figure 172087DEST_PATH_IMAGE014
And the epicenter location latitude and longitude and the seismic source depth H can be obtained from USGS (https:// earth quakeθAngle of inclinationδSliding angleλAre available from the data in table 1. The estimation of other parameters can be obtained by the following steps;
(1) according to the empirical formula, the magnitude of the shock
Figure 25773DEST_PATH_IMAGE014
Conversion into seismic moments
Figure 136818DEST_PATH_IMAGE015
:
Figure 960942DEST_PATH_IMAGE009
(2) According to seismic moments
Figure 199156DEST_PATH_IMAGE015
Area of earthquake fault zoneSThe area of the earthquake fracture zone is obtained by an empirical formulaS:
Figure 422196DEST_PATH_IMAGE004
(3) According to area of earthquake fault zoneSRecombination fracture zone lengthLAnd width of broken beltWEmpirical proportional relationship ofW/L =0.2423Calculating the length of the earthquake fault zoneL:
Figure 438563DEST_PATH_IMAGE005
(4) Width of fracture zone
Figure 497785DEST_PATH_IMAGE016
(5) Amount of slipD: the slippage of fracture zone is different in earthquakes with different earthquake magnitudes. Vibration moment
Figure 461062DEST_PATH_IMAGE015
And amount of slipDThe relationship between applies the formula:
Figure 299396DEST_PATH_IMAGE017
to obtain the slippage
Figure 17823DEST_PATH_IMAGE018
Wherein
Figure 298762DEST_PATH_IMAGE019
Is the shear modulus.
(6) And quickly judging the main SIFT seismic source plate of the earthquake according to the longitude and latitude of the epicenter position.
(7) The trend angle of the SIFT plate belonging to the earthquake epicenter positionθAngle of inclinationδSliding angleλAnd seismic source parameters such as seismic source depth and the like, calculating the length, width and slippage of the obtained rectangular fracture zone by combining an empirical formula, and finally calculating the submarine deformation by applying an Okada model.
(8) And (3) rapidly simulating the propagation evolution condition of the tsunami by applying a static pressure NEOWAVE numerical model. NEOWAVE is a Tsunami model certified by the National Tsunami Hazard simulation Program (National Tsunami) in the United states, can accurately simulate the Tsunami wave climbing and overbank process, can effectively reconstruct the offshore rush current caused by Tsunami, and is widely applied to seabed seismic source inversion and earthquake Tsunami disaster evaluation by different academic groups and business institutions in the world.
(9) As shown in table 2, according to the tsunami risk level defined in "storm surge, storm, tsunami, and sea ice disaster emergency plan" revised in 2015: in areas with the tsunami wave height not exceeding 0.3 m, the tsunami danger level is I level, and the influence degree is no influence; in areas with the tsunami wave height of more than 0.3 m but not more than 100 m, the tsunami risk level is II level, and the influence degree is offshore risk; in areas with the tsunami wave height of more than 1 meter but not more than 1 meter, the tsunami risk level is III level, and the influence degree is submergence risk; in areas with tsunami wave heights over 3 meters, the tsunami danger level is IV level, and serious inundation danger exists. And carrying out quick early warning on the highlight area according to the grade classification standard.
TABLE 2 Tsunami Risk level definitions
Figure 393626DEST_PATH_IMAGE020
Fig. 3 shows a tsunami rapid early warning system based on the plate parameters of the SIFT seismic source, which corresponds to the early warning method and specifically includes: the earthquake center information acquisition module, the fracture zone size calculation module, the seismic source plate judgment module, the seabed deformation calculation module and the tsunami propagation simulation module.
The epicenter information acquisition module is used for acquiring longitude and latitude, an earthquake magnitude and an earthquake source depth of an epicenter position; the fracture zone size calculation module calculates the length, width and slippage of the rectangular fracture zone according to the magnitude of the epicenter position by the empirical formula; the seismic source plate judging module judges the SIFT seismic source plate to which the earthquake belongs according to the longitude and latitude of the epicenter position to obtain seismic source plate parameters of the SIFT seismic source plate to which the epicenter position belongs; the seabed deformation calculation module calculates the length, the width and the slippage of the obtained rectangular fracture zone by combining the strike angle, the slippage angle and the inclination angle obtained by the seismic source plate judgment module with the fracture zone size calculation module, and calculates seabed deformation data by applying an Okada model; and the tsunami propagation simulation module simulates a tsunami propagation process according to the seabed deformation data and evaluates the tsunami risk level. The tsunami monitoring system can further comprise an early warning signal sending module which is used for sending early warning signals to areas exceeding the reserved danger level according to the evaluated tsunami danger level.
The tsunami early warning method is used for carrying out numerical simulation on tsunami sources with different seismic levels, is high in calculation speed, can complete calculation within 10 minutes in the process of calculating and simulating tsunami propagation for 6 hours. And the simulation result has better goodness of fit with the research results of other experts.
To verify the accuracy of the seismic source design method and numerical simulation of the present invention, the present invention refers to the study of the manila nose-down band by Liu et al (Liu P L F, Wang X, Salisbury a J2009. Tsunami hazard and early warning system in South China sea. J Asian Earth Sci, 36: 2-12.). Liu et al designs complete seismic source parameters of six seismic source plates at Mw8.0, numerically simulates a tsunami propagation process caused by Mw8.0 earthquake of each plate by applying a COMCOT tsunami model, and researches show that E1-E4 plates have large influence on south China sea, and the invention simulates the tsunami propagation process of E1-E4 plates by applying a static pressure NEOWAVE model. Meanwhile, the seismic source design method is applied to obtain seismic source parameters of A1-A4 plates at similar epicenter positions. Newave is applied to carry out Mw8.0-grade tsunami numerical simulation on E1-E4 seismic source parameters of Liu et al and A1-A4 seismic source parameters designed by the invention, and the maximum tsunami wave height is shown in FIG. 4. As can be seen from fig. 4, the difference between the maximum tsunami wave heights in the coastal region near the shore is small, and the simulation result goodness of fit is good.
Therefore, the early warning method and the early warning system have the characteristics of low cost, high calculation speed, high accuracy and the like, and can provide guarantee for the actual tsunami early warning accuracy.
It is to be understood that the present invention has been described with reference to certain embodiments, and that various changes in the features and embodiments, or equivalent substitutions may be made therein by those skilled in the art without departing from the spirit and scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.

Claims (8)

1. A rapid early warning method for earthquake tsunami is characterized by comprising the following steps:
acquiring longitude and latitude, magnitude and seismic source depth of the epicenter position;
calculating the length, width and slippage of the rectangular fracture belt by an empirical formula according to the magnitude of the epicenter position;
judging the SIFT seismic source plate to which the earthquake belongs according to the longitude and latitude of the epicenter position to obtain seismic source plate parameters of the SIFT seismic source plate to which the epicenter position belongs;
calculating the seismic source plate parameters by applying an Okada model in combination with the length, width and slippage of the rectangular fracture zone calculated by combining empirical formulas to calculate seabed deformation data;
simulating a tsunami propagation process according to the seabed deformation data;
evaluating the tsunami risk level of the coastal city according to the tsunami propagation process;
the step of calculating the length, the width and the slippage of the rectangular fracture zone by an empirical formula according to the magnitude of the epicenter position specifically comprises the following steps:
a. magnitude of earthquake
Figure 144619DEST_PATH_IMAGE001
Conversion into seismic moments
Figure 655235DEST_PATH_IMAGE002
Figure 359273DEST_PATH_IMAGE003
b. Determining the area of the earthquake fault zoneS :
Figure 675854DEST_PATH_IMAGE004
c. According to area of earthquake fault zoneSRecombination fracture zone lengthLAnd fracture zone widthWEmpirical proportional relationship ofW/L= 0.2423Calculating the length of the earthquake fault zoneL:
Figure 896751DEST_PATH_IMAGE005
d. Calculating the width of the fracture zone
Figure 640585DEST_PATH_IMAGE006
e. Calculating the amount of slip
Figure 501093DEST_PATH_IMAGE007
Wherein
Figure 600857DEST_PATH_IMAGE008
Is the shear modulus.
2. The method of claim 1, wherein the source plate parameters comprise: strike angle, bank angle and slip angle.
3. An earthquake and tsunami rapid warning method according to claim 1, further comprising transmitting a warning signal to an area exceeding a predetermined risk level according to the evaluated risk level of the tsunami.
4. An earthquake and tsunami rapid warning method according to any one of claims 1 to 3, wherein the simulated tsunami propagation process is simulated by specifically applying a static pressure NEOWAVE numerical model.
5. An earthquake tsunami rapid early warning system, comprising:
the epicenter information acquisition module: the method comprises the steps of obtaining longitude and latitude, magnitude and seismic source depth of a seismic center position;
fracture zone size calculation module: the method is used for calculating the length, the width and the slippage of the rectangular fracture belt by an empirical formula according to the magnitude of the epicenter position;
the seismic source plate judging module: the earthquake center positioning system is used for judging the SIFT earthquake source plate to which the earthquake belongs according to the longitude and latitude of the earthquake center position to obtain the earthquake source plate parameters of the SIFT earthquake source plate to which the earthquake center position belongs;
the seabed deformation calculation module: the system is used for calculating the length, the width and the slippage of the rectangular fracture zone obtained by combining the seismic source plate parameters obtained by the seismic source plate judgment module with the fracture zone size calculation module, and calculating seabed deformation data by applying an Okada model;
tsunami propagation simulation module: for simulating tsunami propagation process and evaluating tsunami risk level according to seabed deformation data
The step of calculating the length, the width and the slippage of the rectangular fracture zone by an empirical formula according to the magnitude of the epicenter position specifically comprises the following steps:
a. magnitude of earthquake
Figure 941840DEST_PATH_IMAGE009
Conversion into seismic moments
Figure 856575DEST_PATH_IMAGE010
Figure 532276DEST_PATH_IMAGE011
b. Determining the area of the earthquake fault zoneS:
Figure 675812DEST_PATH_IMAGE012
c. According to area of earthquake fault zoneSReunion breakerLength of lacerated bandLAnd width of broken beltWEmpirical proportional relationship ofW/L= 0.2423Calculating the length of the earthquake fault zoneL:
Figure 120569DEST_PATH_IMAGE005
d. Calculating the width of the fracture zone
Figure 146819DEST_PATH_IMAGE013
e. Calculating the amount of slip
Figure 309815DEST_PATH_IMAGE014
Wherein
Figure 506310DEST_PATH_IMAGE008
Is the shear modulus.
6. The earthquake tsunami rapid warning system according to claim 5, wherein the source plate parameters comprise: strike angle, bank angle and slip angle.
7. The earthquake and tsunami rapid early warning system according to claim 5, further comprising an early warning signal sending module for sending an early warning signal to an area exceeding a predetermined risk level according to the evaluated risk level of the tsunami.
8. An earthquake and tsunami rapid warning system according to any one of claims 5 to 7, wherein the simulated tsunami propagation process is simulated by specifically applying a static pressure NEOWAVE numerical model.
CN202210817736.2A 2022-07-13 2022-07-13 Earthquake and tsunami rapid early warning method and system Active CN114895358B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210817736.2A CN114895358B (en) 2022-07-13 2022-07-13 Earthquake and tsunami rapid early warning method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210817736.2A CN114895358B (en) 2022-07-13 2022-07-13 Earthquake and tsunami rapid early warning method and system

Publications (2)

Publication Number Publication Date
CN114895358A true CN114895358A (en) 2022-08-12
CN114895358B CN114895358B (en) 2022-10-14

Family

ID=82729735

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210817736.2A Active CN114895358B (en) 2022-07-13 2022-07-13 Earthquake and tsunami rapid early warning method and system

Country Status (1)

Country Link
CN (1) CN114895358B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116184497A (en) * 2023-02-27 2023-05-30 国家海洋环境预报中心 Quick estimation method for characteristic parameters of earthquake tsunami initial field
CN116482763A (en) * 2023-06-19 2023-07-25 浙江大学海南研究院 Probabilistic earthquake and tsunami disaster analysis method based on logic tree method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201111826A (en) * 2009-09-30 2011-04-01 Univ Nat Sun Yat Sen Real-time tsunami warning method and system thereof
JP2016223956A (en) * 2015-06-02 2016-12-28 公益財団法人鉄道総合技術研究所 Early coastal tsunami prediction method using tsunami propagation characteristics
CN108460195A (en) * 2018-02-08 2018-08-28 国家海洋环境预报中心 Tsunami mathematical calculation model is based on rapid implementation method parallel GPU
CN111323809A (en) * 2020-03-17 2020-06-23 河海大学 Device and method for monitoring tsunami caused by submarine earthquake
CN113848583A (en) * 2021-09-22 2021-12-28 成都康特电子科技股份有限公司 Earthquake emergency broadcasting system, method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201111826A (en) * 2009-09-30 2011-04-01 Univ Nat Sun Yat Sen Real-time tsunami warning method and system thereof
JP2016223956A (en) * 2015-06-02 2016-12-28 公益財団法人鉄道総合技術研究所 Early coastal tsunami prediction method using tsunami propagation characteristics
CN108460195A (en) * 2018-02-08 2018-08-28 国家海洋环境预报中心 Tsunami mathematical calculation model is based on rapid implementation method parallel GPU
CN111323809A (en) * 2020-03-17 2020-06-23 河海大学 Device and method for monitoring tsunami caused by submarine earthquake
CN113848583A (en) * 2021-09-22 2021-12-28 成都康特电子科技股份有限公司 Earthquake emergency broadcasting system, method and device

Non-Patent Citations (11)

* Cited by examiner, † Cited by third party
Title
T.LAY ET AL.: "2010年10月25日明打威海啸地震(Mw7.8)和浅层巨大逆冲断裂引起的海啸灾害", 《世界地震译丛》 *
冉洪流等: "鲜水河断裂带北西段不同破裂源强震震级(M≥6?7)及复发间隔研究", 《地球物理学报》 *
孙立宁等: "2017年9月8日墨西哥沿岸M_w8.2级地震海啸观测数据分析与模拟", 《海洋学报》 *
孙美仙等: "基于GIS的海啸预警信息系统集成框架", 《海洋学研究》 *
张志成等: "开阔海域越洋海啸波高计算的一种简化方法", 《水动力学研究与进展(A辑)》 *
王宁等: "不同经验公式对海啸数值模拟的影响", 《测绘科学》 *
秦嘉政等: "用地震标定律研究丽江7.0级地震的破裂过程", 《地震研究》 *
程佳等: "川滇菱形块体东边界各断层段强震演化特征研究", 《中国科学:地球科学》 *
翟金金等: "夏威夷ALEUTIAN海啸的NEOWAVES数值模拟", 《工程力学》 *
赵联大等: "南海定量海啸预警系统", 《海洋预报》 *
陈建涛等: "建立南海地震海啸监测预警系统的构思", 《华南地震》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116184497A (en) * 2023-02-27 2023-05-30 国家海洋环境预报中心 Quick estimation method for characteristic parameters of earthquake tsunami initial field
CN116184497B (en) * 2023-02-27 2023-09-08 国家海洋环境预报中心 Quick estimation method for characteristic parameters of earthquake tsunami initial field
CN116482763A (en) * 2023-06-19 2023-07-25 浙江大学海南研究院 Probabilistic earthquake and tsunami disaster analysis method based on logic tree method
CN116482763B (en) * 2023-06-19 2023-08-25 浙江大学海南研究院 Probabilistic earthquake and tsunami disaster analysis method based on logic tree method

Also Published As

Publication number Publication date
CN114895358B (en) 2022-10-14

Similar Documents

Publication Publication Date Title
CN114895358B (en) Earthquake and tsunami rapid early warning method and system
Angove et al. Ocean observations required to minimize uncertainty in global tsunami forecasts, warnings, and emergency response
Gesch Consideration of vertical uncertainty in elevation-based sea-level rise assessments: Mobile Bay, Alabama case study
Zhang et al. Estimation of extreme sea levels over the eastern continental shelf of North America
CN114662411A (en) Slope type breakwater protection performance evaluation system and disaster early warning system
CN115542397B (en) Tsunami danger analysis method based on SVM
KR101668073B1 (en) Method and system for analyzing wave data in coastal areas
Heidarzadeh et al. The El Salvador and Philippines tsunamis of August 2012: Insights from sea level data analysis and numerical modeling
Yang et al. Effects of sea level rise on storm surges in the south Yellow Sea: A case study of Typhoon Muifa (2011)
Maa et al. Potential impacts of sand mining offshore of Maryland and Delaware: Part 1—impacts on physical oceanographic processes
Jadhav Field investigation of wave and surge attenuation in salt marsh vegetation and wave climate in a Shallow Estuary
Bernard et al. Improving tsunami forecast skill using deep ocean observations
Pedersen et al. Modelling of the Asian tsunami off the coast of northern Sumatra
Yuk et al. Modelling of storm-induced seawater flooding in the Suyeong River area, South Korea: A case study due to the storm surge and waves during Typhoon Sanba
González et al. Probabilistic Tsunami Hazard Assessment (PTHA) for Crescent City, CA. Final Report for Phase I
Hasegawa et al. JMA’s storm surge prediction for the WMO Storm Surge Watch Scheme (SSWS)
de Lange et al. Sea-Level Change
Lane et al. Tsunami inundation modelling using RiCOM
Yoon et al. Development of a near real-time forecasting system for storm surge and coastal inundation
Liu et al. Tsunami hazard and forecast study in South China Sea
Garzon et al. Efficient integration of a storm surge model into a multidisciplinary agent based model framework
Solano et al. An integrated wave modelling framework for classifying extreme events in the English Channel and on the Normandy coasts
Bloemendaal et al. Dispelling myths concerning the wave power-marsh retreat relationship
Fauver Toward predicting barrier island vulnerability: simple models for dune erosion
Xie et al. Distribution characteristics of the extreme storm tides in the radial sand ridges area of the South Yellow Sea in China

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