JPH08329043A - Simulation and prediction device for earthquake damage - Google Patents

Simulation and prediction device for earthquake damage

Info

Publication number
JPH08329043A
JPH08329043A JP13686895A JP13686895A JPH08329043A JP H08329043 A JPH08329043 A JP H08329043A JP 13686895 A JP13686895 A JP 13686895A JP 13686895 A JP13686895 A JP 13686895A JP H08329043 A JPH08329043 A JP H08329043A
Authority
JP
Japan
Prior art keywords
data
earthquake
damage
map
acceleration
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.)
Pending
Application number
JP13686895A
Other languages
Japanese (ja)
Inventor
Toshio Kikuchi
Mutsumi Kondo
Akira Okuda
Tetsuo Suzuki
Yasushi Takemoto
Mamoru Yamada
暁 奥田
守 山田
靖 竹本
敏男 菊地
睦美 近藤
哲夫 鈴木
Original Assignee
Ohbayashi Corp
株式会社大林組
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
Family has litigation
Application filed by Ohbayashi Corp, 株式会社大林組 filed Critical Ohbayashi Corp
Priority to JP13686895A priority Critical patent/JPH08329043A/en
Publication of JPH08329043A publication Critical patent/JPH08329043A/en
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=15185409&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=JPH08329043(A) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Pending legal-status Critical Current

Links

Abstract

PURPOSE: To provide the simulation and prediction device which can predict the damage of an earthquake of arbitrary magnitude that occurs at an arbitrary position. CONSTITUTION: The device has an external storage means 10, an arithmetic display control means 12, a display means 14, and an earthquake position setting means 16. The means 12 has an arithmetic part 12a and a display control part 12b. A setting means 16 has a keyboard 16a and a mouse 16b. A storage means 14 stores map data 10a, building data 10b, geological feature data 10c, area data 10d, past earthquake data 10e, active fault data 10f, and human data 10g. The arithmetic part 12a calculates acceleration by sections on the basis of set magnitude of an earthquake, the distances between the seismic center and the respective sections of the mesh map data, and geological feature data present between the seismic center and respective sections and also calculates the degrees of damage to building structures on the basis of the acceleration and building data, so that the degrees of damage are displayed on the map data by a display control part 12b.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an earthquake damage prediction device.

[0002]

[Background Art and Problems to be Solved by the Invention] Due to the recent large earthquake, awareness of disaster prevention at the time of earthquake has increased,
The need for crisis management in the event of an earthquake disaster is emphasized. By the way, earthquake information in Japan is currently transmitted mainly through television broadcasting, and when an earthquake of a predetermined magnitude or more occurs, the epicenter and seismic intensity of the earthquake are transmitted in a relatively short time after the occurrence.

However, such earthquake information is a state in which even if the information is after the occurrence of the earthquake, the communication means and transportation means are interrupted, and the detailed situation at the site cannot be grasped. With regard to damage to things and the safety of people, the only way to confirm the damage situation is to use another means. By the way, in crisis management when an earthquake occurs, it is possible to construct an effective management system only by predicting the occurrence of an earthquake and predicting damage to building structures and the like.

However, in order to meet such a demand and to construct an effective risk management system, it is necessary to simulate damage to a building structure or the like against an earthquake of an arbitrary magnitude that occurs somewhere. However, up to now, no device capable of simulating such an earthquake has been provided. The present invention has been made in view of the above circumstances, and it is an object of the present invention to provide a simulated earthquake damage prediction apparatus capable of predicting damage to an earthquake occurring at an arbitrary position and at an arbitrary size.

[0005]

In order to achieve the above object, the present invention is provided with mesh map data capable of displaying a mesh map divided into a grid at a predetermined distance interval,
Map data that allows selection of expansion and contraction of the display range, building data such as the building year, structure type, and number of floors of the building structure displayed in the mesh-like map, and each section of the mesh-like map Storage means for respectively storing geological data indicating the nature of the ground, display means for displaying the contents of the map data, in a state where the contents of the map data are displayed on the display means, any on the display screen Earthquake position setting means for setting the epicenter and the magnitude of the earthquake at the position,
The magnitude of the earthquake set by the earthquake position setting means, the distance between the epicenter and each section of the mesh map, and the geological data existing between the epicenter and each section Based on, and calculating the acceleration for each section of the mesh map, based on the obtained acceleration and the building data, calculate the damage level of the building structure, the acceleration and the damage level. And a calculation display control means for displaying on the mesh map. The acceleration can be color-coded and displayed in a plurality of stages for each section of the mesh map according to the magnitude thereof. The degree of damage can be displayed in a plurality of stages in different colors for each building structure in accordance with its size. The storage means stores earthquake data and active fault data that have occurred in the past, and based on these data, the calculation display control means calculates the acceleration and the damage level of the building, and the calculation result thereof. Can be displayed on the display means.

[0006]

According to the simulated earthquake damage prediction apparatus having the above structure,
The calculation display control means determines the magnitude of the earthquake set at an arbitrary position by the earthquake position setting means, the distance between the epicenter and each section of the mesh map, and between the epicenter and each section. The acceleration of each section of the mesh map is calculated based on the existing geological data, and the damage level of the building structure is calculated based on the obtained acceleration and the building data. Since it is displayed on the mesh map, it is possible to construct an effective crisis management system corresponding to the damage situation. Also, when the latest earthquake information is transmitted via media, if the seismic location setting means sets the epicenter and size based on the seismic information, the acceleration and damage to the building structure corresponding to this will be set. Since the degree is displayed on the display means, it is possible to immediately recognize the damage prediction for the earthquake that has occurred. Claim 2
According to the configuration of 3 or 3, since the acceleration or the damage level of each section of the mesh-shaped map is color-coded and displayed in a plurality of stages corresponding to the size thereof, the degree of danger can be reliably and easily recognized. . According to the structure of claim 4, the storage means stores the earthquake data and the active fault data generated in the past, and the calculation display control means calculates the acceleration and the damage degree based on these data. Since the calculation result is displayed on the display means, it is possible to easily predict damage at the epicenter with a high probability of occurrence of an earthquake.

[0007]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT A preferred embodiment of the present invention will be described in detail below with reference to the accompanying drawings. 1 to 9 show an embodiment of a simulated earthquake damage prediction apparatus according to the present invention. The simulated predicting apparatus shown in the figure comprises a so-called personal computer as shown in FIG.
2, the display means 14, and the earthquake position setting means 16.

The arithmetic display control means 12 includes an arithmetic unit 12a.
It has a display controller 12b, an internal memory 12c, and an input / output interface 12d, and the external storage means 14 is connected via the input / output interface 12d. The display means 14 is composed of a liquid crystal display capable of color display, a CRT or the like, and is connected to the arithmetic display control means 12 via the input / output interface 12d.

The earthquake position setting means 16 is specifically composed of a keyboard 16a and a mouse 16b,
These are also connected to the arithmetic display control means 12 via the input / output interface 12d. The external storage means 14 stores map data 10a, building data 10b, geological data 10c, area data 10d, past earthquake data 10e, active fault data 10f, and human data 10g. There is.

The map data 10a is provided with mesh map data capable of displaying a mesh map 100a partitioned in a grid pattern at predetermined intervals, for example, every 500 m, as shown in FIG. In this map data,
It includes social facilities such as roads and railways, rivers, lakes, and building structures. In addition, the map data 10a includes, for example, map data showing various regions such as the Kanto region and the Kansai region from the map of Japan, or map data of various layers such as map data that can be displayed in units of municipalities or divisions of cities. It is included, and it is possible to zoom in and out at any position with these displayed.

The building data 10b is a mesh map 10
Information such as the construction year of each building structure displayed in 0a, the structure type (wooden, steel frame structure, rebar structure, etc.) and the number of floors constructed is stored. The geological data 10c shows the property of the ground set for each section of the mesh-shaped map 100a, and, for example, the hardness of the ground is one kind ground (Ko layer), two kinds ground (all layers less than 10 m). ), And is divided into three types of ground (soft layer) and stored.

The regional data 10d stores, for example, regional risk levels for earthquakes announced by each administrative agency for each section of the mesh map 100a. The past earthquake data 10e includes the positions (longitude, latitude, and depth) of historical earthquakes that have occurred in the past, which have been known to date, the magnitude (magnitude M), the date and time of occurrence, and the name of the earthquake. It is stored. The active fault data 10f stores information such as the position, length, and date of occurrence of active faults that have been found to date.

The personal data 10g is, for example, the address and telephone number of a person who needs to make some contact when an earthquake occurs, and is stored in a symbolized state. 2 and 3 show an example of the control procedure executed by the arithmetic display control means 12. When the control procedure shown in the figure starts, first, in step s1, a map is displayed on the display means 14. At this time, first display means 1
The map displayed in 4 is, for example, a map of Japan as shown in FIG.

This map display is performed based on the map data 10a, and the display portion can be arbitrarily enlarged or reduced by operating the mouse 16b. In the following step s2, it is determined whether or not the display of the regional risk is selected, and when the display of the regional risk is selected, the process proceeds to step s3. In step s3, the display area of the area danger level displayed on the display means 14 is selected by the mouse 16b.

When the selection of the display area is completed, in the next step s4, the display control unit 12b selects the risk information corresponding to the display area from the area data 10d, and the risk degree is displayed on the currently displayed map. The information is displayed, and it is determined in step s5 whether or not to end the display. If it is determined in step s5 that the risk level display may be terminated, the procedure is terminated, and if it is desired to view the risk level information of another area, the process returns to step s2 and the same procedure as above is performed. I will repeat.

On the other hand, if the display of the regional risk is not selected in step s2, it is determined whether or not the display of the acceleration distribution is selected in step s6. If this is selected, the process proceeds to step s7. To do. In step s7, it is determined whether the epicenter has been designated. The epicenter designation here is a case where the operator designates the epicenter and the magnitude of the earthquake at arbitrary positions. When the epicenter designation is selected, the epicenter is selected using the mouse 16b in step s8. It is designated and its size is input by the keyboard 16a.

An example of the state at this time is shown in FIG. In the figure, the portion indicated by X is the mouse 16b.
It is the epicenter set in step 2, and the magnitude value M, which indicates the magnitude of the earthquake, is 7.5. In this way,
When the epicenter and its size (magnitude M) are set, the acceleration distribution of the ground for each section is calculated according to the following procedure, and the mesh map 100a is calculated based on the size on the mesh map 100a. Are displayed in different colors for each section position.

In the calculation display of the acceleration distribution, first, in step s9, the area to be simulated is selected by the mouse 1.
6b. Once you've selected this region,
In the subsequent step s10, the human data 10g of the area selected by the display controller 12b is displayed on the mesh map 100a as necessary. Since the address and the like of the person concerned are input to the personal data 10g, this information is displayed as a specific symbol mark.

This state is shown in FIG. Also in this case, for example, when the mouse 16b is used to specify the symbol mark, the detailed information content of the human data 10g is displayed. In the next step s11, the acceleration for each section of the mesh map 100a is calculated based on the epicenter (latitude, longitude) and size (magnitude M) of the earthquake set in step s8, and the geological data 10c. Part 12a
Is calculated by.

This calculation uses the magnitude value (M) and
The distance between the center of each section of the mesh-shaped map 100a and the epicenter, and the geological data 10c existing between the epicenter value and each section (1st type ground (Ko layer), 2nd type ground (Oki layer 10m) Below), three types of ground (soft layer)), and is calculated by the following formula.

(Type 1 ground) acceleration = 987.4 × 1
0 0.216 xM x (distance from epicenter +30 m) -1.218 (Type 2 ground) acceleration = 232.5 x 10 0.313 xM x
(Distance from epicenter + 30m) -1.218 ( Type 3 ground) acceleration = 403.8 x 10 0.265 xM x
(Distance from epicenter + 30m) -1.218

The acceleration for each section thus obtained is determined by the display control unit 12b in a plurality of stages corresponding to the magnitude of the acceleration obtained in step s12, for example,
It is displayed in five different colors, and an example of this state is shown in FIG.
Is shown in. In the same figure, the dark part of each section indicates that the acceleration is large. Continuing step s13
Then, it is judged whether the display of building damage is selected,
If it is determined that this is not selected, the procedure ends.

On the other hand, if the display of the building damage is selected in step s13, steps s14, 15
The building damage is calculated by the calculation unit 12a based on the acceleration calculated in step s11 and the content of the building data 10b, and the result is displayed on the display unit 14 by the display control unit 12b. In the building damage calculation, the buildings in the simulation area specified in step s10 are targeted, and the damage is calculated under the following conditions.

When the number of floors of the building is 1st floor, T 1 = 0.14 When the number of floors of the building is 2nd floor or more, T 1 = 0.14 × (3 ×
(Number of floors -1) If the number of quarters is 0, it is excluded from calculation.

[0025]

[Equation 1] Is = content of the building data 10b (structure type (wooden, steel frame structure, reinforcing bar structure, etc.)) Damage level = Is / Es When Is / Es> 1.0, no damage is done. When the building damage for each section of the mesh-shaped map 100a is calculated by this calculation formula, the damage is displayed in a plurality of stages of color coding corresponding to the size thereof (step s15), an example of which is shown in FIG. In the figure, the acceleration distribution is displayed for each section on the mesh-shaped map 100a, and the building damage is indicated by triangles on the section. The darker the color shown in each triangle, the greater the damage.

On the other hand, if it is determined in step s7 that the epicenter designation has not been selected, it is determined in step s16 whether or not the epicenter designation is selected. The earthquake designation in this case means an earthquake that occurred in the past, and when it is determined in step s16 that the earthquake is designated, the step s17 is performed.
Then, the past earthquake data 10e is read by the display control unit 12b, and the content thereof is shown on the map displayed on the display means 14.

FIG. 4 shows an example of this display content. In the display state shown in FIG. 4, a map of Japan as a whole is shown in the background, and past earthquakes are indicated by a circle. ing. In the past earthquake data 10e, the center of the circle is its epicenter, and the size of the circle corresponds to the magnitude of the earthquake. If you want to know the detailed information of the past earthquake displayed on the map, for example, the date of occurrence, its size, or the damage situation, specify the past earthquake displayed by the mouse 16b. The information is displayed on the display means 14 (step s18).

After recognizing such information,
When a specific earthquake is designated by the mouse 16b in step s19, the magnitude of the designated earthquake (magnitude value M) is known. Therefore, if the procedure of steps s9 to s15 described above is executed based on this value, the designation is made. Acceleration distribution and building damage due to past earthquakes are displayed.

When simulating the damage caused by past earthquakes, the magnitude of the earthquake and the epicenter are specified. Therefore, when predicting the damage without changing the magnitude of the earthquake, the acceleration and the damage to the building are preliminarily obtained. It is also possible to calculate and store the size of and to display it immediately. On the other hand, if it is determined in step s16 that the hypocenter designation has not been selected, it is determined in step s20 whether or not the active fault has been designated. If the active fault has not been designated, the process returns to step s7 and When it is determined that the active fault is designated, step s2
Move to 1. In step s21, the contents stored in the active fault data 10f are displayed on the selected map.

An example of this state is shown in FIG. In the figure, the curved straight line and the portion indicated by the straight line are the positions and lengths of the active faults that have been known so far. When the active fault thus displayed is arbitrarily designated by the mouse 16b, information on the designated active fault is displayed on the display means 14 (step s22). In the following step s23, the determination of the active fault is determined, and when this is determined, step s24 is executed.

At step s24, the scale of the earthquake expected on the confirmed active fault (magnitude value M) is displayed.
The magnitude of the earthquake at this time is the magnitude value M = (lo
g (total distance of active faults) / log (10) + 2.9 / 0.
6 is calculated by the calculation unit 12a. Continuing step s25
Then, the magnitude (magnitude value M) of the earthquake that occurs on the determined active fault is input using the keyboard 16b, and the magnitude of the earthquake is set.

When the magnitude of the earthquake is set, after that,
The procedure of steps s11 to s17 is executed. In this case, the calculation of the acceleration performed in step s13 is executed with the following contents. First, active faults and mesh map 1
The distance (r) between each segment of 00a is calculated by the following formula based on the shortest distance between the two.

R = (shortest distance 2 +7.3 2 ) 1/2 The magnitude of the earthquake (magnitude Mw) is the keyboard 1
It is calculated by the following equation based on the magnitude value M input in 6b. Mw = (1.3 × magnitude value M + 0.9) / 1.
5 Based on these values, the pseudo acceleration is calculated by the following formula. Pseudo acceleration = 980 × 10 −1.02 + (0.249 × M
w)-(log (r) / log (10))-(0.00
255 × r)

Then, the pseudo acceleration and the geological data 10
The acceleration is calculated by the following formula based on d and. Acceleration = pseudo acceleration × (type 1 ground) 1.0 Acceleration = pseudo acceleration × (type 2 ground) 1.25 Acceleration = pseudo acceleration × (type 3 ground) 1.5 The calculation of building damage was explained in step s17. It is calculated by the same formula as the case. When the acceleration and the damage to the building are obtained in this manner, their contents are output to the display means 14 by the display control unit 12b, and the display is performed in the mode shown in FIG. 5 or FIG.

According to the simulated earthquake damage prediction apparatus constructed as described above, the calculation unit 12a sets the magnitude of the earthquake set at an arbitrary position by the earthquake position setting means 16 (keyboard 16a, mouse 16b). Based on the distance between the epicenter and each section of the mesh map 100a and the geological data 10c existing between the epicenter and each section, the acceleration of each section of the mesh map 100a. And the damage degree of the building structure based on the obtained acceleration and the building data 10b, and the display control unit 12b calculates the damage degree of the acceleration and the damage degree.
Since it is displayed on a, it is possible to construct an effective crisis management system corresponding to the damage situation.

Further, when the latest earthquake information is transmitted through the media, if the earthquake epicenter setting means 16 (keyboard 16a, mouse 16b) is used to set the epicenter and size, Since the acceleration and / or the degree of damage to the building structure corresponding to this is displayed on the display means 14, the damage prediction for the generated earthquake can be immediately recognized.

Further, in the case of the present embodiment, the acceleration or the damage level of each section of the mesh map 100a is color-coded and displayed in a plurality of stages, so that the degree of danger can be surely and easily recognized. Further, the storage means 10 stores the earthquake data 10e and the active fault data 10 generated in the past.
Since f is stored and the calculation display control means 12 calculates the acceleration and the damage degree based on these data and the calculation result is displayed on the display means 14, it is possible that the earthquake occurrence location has a high probability. The damage can be easily predicted. Furthermore, if the current address of the person concerned is stored as the personal data 10g, for example, the safety of a person who lives in a heavily damaged area can be confirmed by a person who lives nearby. It becomes possible to say that you can.

[0038]

As described above in detail in the embodiments,
According to the earthquake damage simulation prediction apparatus of the present invention, it is possible to predict the damage of an earthquake occurring at an arbitrary size and at an arbitrary position. It can be useful. Further, according to the configuration of claim 2 or 3, since the acceleration distribution and the damage to the building are displayed in a plurality of stages corresponding to the size thereof, it is possible to clearly recognize the predicted degree of damage and danger. it can. Further, according to the configuration of claim 4, since it is possible to predict the simulated damage to the past earthquake or the earthquake on the active fault, it is possible to perform the damage prediction to the earthquake having a large occurrence probability.

[Brief description of drawings]

FIG. 1 is a block diagram showing a hardware configuration of an earthquake damage simulation prediction device according to the present invention.

FIG. 2 is a flowchart showing an example of a control procedure executed by the simulated prediction device shown in FIG.

FIG. 3 is a flowchart showing a procedure performed subsequently to the control procedure shown in FIG.

FIG. 4 is an explanatory diagram showing an example of a past earthquake occurrence state displayed on the display means of the simulated prediction device shown in FIG. 1.

FIG. 5 is an explanatory diagram showing display contents in a state where the epicenter is set at an arbitrary position in the simulated prediction device shown in FIG.

6 is an explanatory diagram showing an example of a mesh map displayed by the display means of the simulated prediction device shown in FIG.

FIG. 7 is an explanatory diagram showing an example of an acceleration distribution displayed on the display means of the simulated prediction device shown in FIG.

FIG. 8 is an explanatory diagram showing an example of a building damage displayed by the display means of the simulation prediction device shown in FIG.

9 is an explanatory diagram showing an example of an active fault displayed by the display means of the simulation prediction device shown in FIG.

[Explanation of symbols]

 10 External Storage Means 12 Centralized Control Device 12a Computing Unit 12b Display Control Unit 14 Display Means 16 Earthquake Position Setting Means 16a Keyboard 16b Mouse

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Mamoru Yamada 4-640 Shimoseido, Kiyose-shi, Tokyo Obayashi Corporation Technical Research Institute (72) Akira Okuda 4-640 Shimo-seido, Kiyose-shi, Tokyo Obayashi Corporation (72) Inventor Mutsumi Kondo 4-640 Shimoseido, Kiyose-shi, Tokyo Obayashi Corporation Technical Research Institute

Claims (4)

[Claims]
1. A mesh map data capable of displaying a mesh map divided into a grid pattern at predetermined distance intervals,
Map data that allows selection of expansion and contraction of the display range, building data such as the building year, structure type, and number of floors of the building structure displayed in the mesh-like map, and each section of the mesh-like map Storage means for respectively storing geological data indicating the nature of the ground, display means for displaying the contents of the map data, in a state in which the contents of the map data are displayed on the display means, any on the display screen Earthquake position setting means for setting the epicenter and the magnitude of the earthquake at the position, the magnitude of the earthquake set by the earthquake position setting means, and the distance between the epicenter and each section of the mesh map And, based on the geological data existing between the epicenter and each of the sections, to calculate the acceleration of each section of the mesh map, based on the obtained acceleration and the building data. There are, calculates the degree of damage of the building structure, the simulated prediction apparatus of earthquake damage, characterized in that it comprises an arithmetic display control means for displaying the acceleration and degree of damage on the mesh-like map.
2. The simulated earthquake damage prediction device according to claim 1, wherein the acceleration is color-coded and displayed in a plurality of stages for each section of the mesh-shaped map in correspondence with the magnitude thereof.
3. The simulated earthquake damage prediction device according to claim 1, wherein the damage level is displayed in a plurality of stages in different colors for each of the building structures in correspondence with the magnitude thereof.
4. The storage means stores earthquake data and active fault data that have occurred in the past, and the calculation display control means calculates the acceleration and the damage level of the building based on these data. The simulated prediction device for earthquake damage according to claim 1, wherein the calculation result is displayed on the display means.
JP13686895A 1995-06-02 1995-06-02 Simulation and prediction device for earthquake damage Pending JPH08329043A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP13686895A JPH08329043A (en) 1995-06-02 1995-06-02 Simulation and prediction device for earthquake damage

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP13686895A JPH08329043A (en) 1995-06-02 1995-06-02 Simulation and prediction device for earthquake damage

Publications (1)

Publication Number Publication Date
JPH08329043A true JPH08329043A (en) 1996-12-13

Family

ID=15185409

Family Applications (1)

Application Number Title Priority Date Filing Date
JP13686895A Pending JPH08329043A (en) 1995-06-02 1995-06-02 Simulation and prediction device for earthquake damage

Country Status (1)

Country Link
JP (1) JPH08329043A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002148348A (en) * 2000-11-06 2002-05-22 Shinozuka Research Institute Earthquake risk evaluation system
JP2002358474A (en) * 2001-03-30 2002-12-13 Fujita Corp Simulation method, simulation control server, and simulation control program
JP2007298446A (en) * 2006-05-01 2007-11-15 Central Japan Railway Co Seismometer, seismometer system, earthquake alarm issuing method, and program
JP2009529189A (en) * 2006-03-08 2009-08-13 ガイ カーペンター アンド カンパニー、インコーポレイテッド Spatial database system for weather event and risk reporting

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002148348A (en) * 2000-11-06 2002-05-22 Shinozuka Research Institute Earthquake risk evaluation system
JP2002358474A (en) * 2001-03-30 2002-12-13 Fujita Corp Simulation method, simulation control server, and simulation control program
JP2009529189A (en) * 2006-03-08 2009-08-13 ガイ カーペンター アンド カンパニー、インコーポレイテッド Spatial database system for weather event and risk reporting
US8386280B2 (en) 2006-03-08 2013-02-26 Guy Carpenter & Company, Llc Spatial database system for generation of weather event and risk reports
JP2007298446A (en) * 2006-05-01 2007-11-15 Central Japan Railway Co Seismometer, seismometer system, earthquake alarm issuing method, and program

Similar Documents

Publication Publication Date Title
Gunes et al. Using GIS in emergency management operations
O'Rourke Critical infrastructure, interdependencies, and resilience
Wolshon et al. Review of policies and practices for hurricane evacuation. I: Transportation planning, preparedness, and response
Green et al. Impediments to recovery in New Orleans' upper and lower ninth ward: One year after hurricane Katrina
Verma et al. Pre-positioning disaster response facilities at safe locations: An evaluation of deterministic and stochastic modeling approaches
EP2277152B1 (en) System and method for forming optimized perimeter surveillance
Barbat et al. Seismic vulnerability and risk evaluation methods for urban areas. A review with application to a pilot area
Lantada et al. Vulnerability index and capacity spectrum based methods for urban seismic risk evaluation. A comparison
Kircher et al. Estimation of earthquake losses to buildings
Whitman et al. Development of a national earthquake loss estimation methodology
Glade et al. Landslide hazard and risk: concluding comment and perspectives
US7158149B2 (en) Map data transmitting method, map data transmitting apparatus, information device and map data transmitting system
Dall'Osso et al. A revised (PTVA) model for assessing the vulnerability of buildings to tsunami damage.
Alexander Principles of emergency planning and management
Strunz et al. Tsunami risk assessment in Indonesia
Cova GIS in emergency management
Berke et al. Evaluation of networks of plans and vulnerability to hazards and climate change: A resilience scorecard
Cova et al. Modelling community evacuation vulnerability using GIS
Mas et al. An integrated simulation of tsunami hazard and human evacuation in La Punta, Peru
Menoni Chains of damages and failures in a metropolitan environment: some observations on the Kobe earthquake in 1995
US20080172352A1 (en) System and method for managing a chaotic event by optimizing decision subdivisions subject to multidimensional constraints
Mas et al. Recent advances in agent-based tsunami evacuation simulations: Case studies in Indonesia, Thailand, Japan and Peru
US20080177688A1 (en) System and method for managing a chaotic event by providing optimal and adaptive sequencing of decision sets with supporting data
Taubenböck et al. Risk reduction at the “Last-Mile”: an attempt to turn science into action by the example of Padang, Indonesia
Chang et al. Probabilistic earthquake scenarios: extending risk analysis methodologies to spatially distributed systems