GIS Implementation of a Nationwide Seismic Risk Assessment Methodology

Mourad Bouhafs, Chessy Si, R. Scott Lawson, and Jawhar Bouabid

Risk Management Solutions, Inc., 149 Commonwealth Drive, Menlo Park, CA 94025, USA

Abstract

Defining Issue: Application of GIS technology in natural hazard risk assessment and emergency management.

GIS Solution: Risk Management Solutions, Inc., a leading software and service provider for the federal, state and local emergency management agencies as well as international insurance and reinsurance industry, developed HAZUS-ArcView, a GIS-based natural disaster assessment software program using Esri GIS technology.

Application or Methodology: The recent development of a GIS-based earthquake risk assessment software system is sponsored as a part of a three-year project by the Federal Emergency Management Agency (FEMA) and the National Institute of Building Sciences (NIBS). The goal of the project is to create a nationally applicable computer program which can be used in the assessment of nationwide catastrophic risk and providing local, state and regional officials with the tools necessary to plan and stimulate efforts to mitigate losses from natural hazards and to prepare for emergency response and recovery from disasters. The methodology is programmed to run on a desk top computer and makes use of Esri's ArcView user interface and functionality to open and modify inventory data, conduct spatial analysis, as well as display study results. Included in the paper are examples of the types of outputs that the software can produce and maps and results showing ground failure and bridge functionality changes.

Software: The application HAZUS-ArcView is written using C++ and Avenue, and other system supporting tools. HAZUS was also developed on MapInfo platform written in C++ and MapBasic programs. The paper introduces the ArcView GIS based earthquake loss estimation methodology, also shares experience in cross platform development and system porting between different software programs.

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In 1993, the Federal Emergency Management Agency (FEMA) and the National Institute of Building Sciences (NIBS) sponsored a project for the creation of a Standardized Regional Earthquake Loss Estimation Methodology. The methodology has evolved into the development of a very powerful GIS-based software tool named HAZUS.

The earthquake loss estimation methodology is intended to provide local, state and regional officials with the tools necessary to assess the risks from earthquakes. This will help them in preparing for emergency response and recovery.

Traditional loss estimation methodologies performed since the early 1970's following the 1971 San Fernando earthquake can be characterized as stagnant: inventory data and geologic attributes were collected, one or more scenarios were evaluated and the a report was written. Emphasis was given to one parameter over another based on what the author(s) considered the "controlling factor" and there was no mechanism to carry out what-if-analysis to account for the inventory variability, the geo-hazard data accuracy, and the uncertainty in the overall approach. Depending on the complexity of the study, the final report could end up by being "unclear" to all but few seasoned engineers.

A GIS-based software tool was meant to change all that (of course!!). Tailored for different audiences with different needs, it uses a segmented modular approach which can be tailored by the users in any way they see fit with the timeline and budget constraints they may face.

The 4 main modules of the methodology are: 1) the inventory, 2) the hazard, 3) the analysis parameters, and 4) the results.

Inventory Data

The flexibility of the methodology in terms of inventory starts by supplying what is termed Level 1 Data. which covers the entire U.S. The goal was to allow the user to proceed with a complete analysis few minutes after defining his/her study region boundaries.

The type of inventory data supplied with the methodology can be grouped into the following categories:

  1. General building stock data which comprises square footage values, occupancy mapping schemes which define the relationship between the 28 occupancy types and the 36 building types. All the data within this group is aggregated at the census tract level.
  2. Essential facilities databases which include medical care facilities, emergency response centers, police stations, fire stations, and schools.
  3. High potential loss facilities which cover the dams, the military installations and the nuclear power facilities.
  4. Transportation systems inventory data which consists of 7 systems: highways, railways, light rail, bus systems, ports and harbors, ferry systems and airports. Each system has a variable number of sub-systems (for example, highways system consists of the roads, bridges and tunnels).
  5. Utility systems inventory data which consists of potable water system, waste water, oil, natural gas, electric power and communication systems.
  6. Other data which includes among other things the demographics database, the hazardous materials sites database.
  7. Multi-hazard data which includes FIRM maps, Q3 maps, SLOSH maps (wind decay model maps), land-use/land-cover maps, elevation contour maps, and TIGER street maps.

As a consequence of the methodology tight integration and its implementation as a GIS-system framework, the entire inventory data mentioned above lends itself to all kind of GIS-type queries presenting the user a great amount of information without any analysis run yet.

Beyond Level 1 Data, the user can supply what is termed Level 2 Data which is in essence an enhanced type of inventory carried out either by editing the Level 1 Data or completely replacing it. The open and modular architecture of the methodology makes the editing process relatively easy.

The database attributes for each inventory type not only covers the earthquake hazard, which was the original goal, but was expanded to be multi-hazard: flood, hurricane, tornado. The idea was to optimize the effort in collecting data (at the Level 2 stage) such that it does not have to be done for each type of hazard. Currently, the methodology implements the earthquake hazard only, but it is FEMA's goal to expand it to other hazards starting next year.


Figure 1. Flowchart of the Earthquake Loss Methodology

Hazard Data

The methodology allows the user to use 3 types of earthquake hazard scenario for the analysis: deterministic hazard, probabilistic hazard, and user-defined.

The deterministic hazard can be either a historical epicenter event, a source fault event (for the Western U.S), or any arbitrary event the user defines.

The probabilistic hazard is based on the United States Geological Survey (USGS) Project 97 maps which can be assessed at 100-year, 1000-year or 2500-year return period.

The user-defined hazard is an option for the user to simulate any kind of event which the deterministic or probabilistic would not recreate accurately. The user-defined hazard is supplied to the methodology via PGA (Peak Ground Acceleration) and response spectra maps.


Figure 2. Highways/Roads and Historical Earthquake Epicenters in San Diego County

Analysis Parameters

One of the main goals of the methodology is for it to be an open architecture, be highly customizable and completely documented. This goal is best reflected in the amount of information available to the user as analysis parameters. All of the damage functions, capacity curves, factors, assumptions, default values are exposed to the user and made editable.

Analysis Results

The methodology supplies the user with more than 500 result files which can be presented or mapped through the GIS interface in an unlimited number of ways. The user can look at the results either at the census tract level (which is the lowest resolution the methodology supports), or aggregated by county via more then 50 summary reports. Figure 3 below shows the PGA (Peak Ground Acceleration) results mapped by census tract. Figure 4 shows the same map with the hazardous materials sites and schools shown for the metropolitan San Diego.

Note:

The sample results were carried out for all of San Diego County using a deterministic hazard. A repeat of the 1862 event was assumed with assuming a magnitude of 6.9 (the original event was 5.9). All the input data was level 1 data and the default analysis parameters were used as is.


Figure 3. Ground Motion Results

The analysis modules and results included with the methodology cover:

  1. The ground motion effects including liquefaction, landslide and surface fault rupture. The user can specify the appropriate hazard map in the corresponding platform format (shape files for ArcView and .MAP files for MapInfo).
  2. Direct physical damage estimates for the buildings, essential facilities, military installations and the user-defined structures if supplied by the user.
  3. Direct physical damage estimates for all the lifelines systems including damageability, functionality and performance.
  4. Inundation effects due to tsunamis, seiches, dams or levees failure.
  5. Effects of fire following the earthqauke and amount of debris due to damage.
  6. Economic losses to buildings and lifelines.
  7. Social losses estimates including casualties and shelter (both displaced households and short-term shelter needs.)
  8. Indirect economic impact on the region.



Figure 4. Ground Motion Results with Schools and Hazardous Materials Sites for San Diego Metropolitan Area

Figure 5 shows the results shown in tabular format allowing the user to look at the detailed data if needed. Each variable (column) can be thematically mapped by the user.

Figure 5. Bridges Functionality Results in Tabular Format

The power of the GIS is extended even further - beyond the thematic mapping - the querying system. The methodology offers powerful yet easy to use querying wizard which allows a user to get answers to questions like "Give me all the hospitals which are 10 miles from the fault and would sustain a damage greater than 50% yet be at least 80% functional" or "list the hazardous material sites stocking Ammonia which have a high landslide potential and are located in census tracts with more than 3000 people." Obviously, the possibilities are endless.

Implementation

The software implementation started in June of 1994. The original platform was MapInfo 3.0 running Windows 3.1. The choice of a personal-computer-based GIS implementation was warranted by the need of users such as emergency response organizations and local government agencies for a low-cost platform. By mid-summer 1997, the final version will ship supporting both MapInfo 4.1 and ArcView 3.0. Both a 16-bit version running under Windows 3.1 and a 32-bit version running under Windows 95/NT 4.0 are available.

Conclusion

A sophisticated methodology has been developed that will allow a wider group of individuals to participate in and have access to results of regional loss estimation studies. The methodology has been implemented using integrated GIS technology which provides the user with a very powerful tool to display and query results. The choice of a personal-computer-based GIS system fulfills the needs of the target users such as emergency response organizations and local government agencies and yet balances conflicting issues such as moderate cost and accuracy. The Flexible data entry and the modularity of the methodology make for easy inventory augmentation, customization and parameter modification. The ability of the user to rapidly perform multiple scenarios using the same inventory provides a mechanism to examine alternatives, explore the sensitivity of results to input data and ask "what if" questions, leading ultimately to the optimum conclusion.

Acknowledgment

The development of the methodology was the work of a large number of individuals and was supported by funding from the Federal Emergency Management Agency (FEMA), under a cooperative agreement with the National Institute of Building Sciences (NIBS). The authors are solely responsible for the accuracy of the statements and interpretations contained in this publication. Such interpretations do not necessarily reflect the views of FEMA, NIBS, or members of the committees that oversaw the production of this work.

References

Risk Management Solutions, Inc. 1997. Development of a Standardized Earthquake Loss Estimation Methodology. Report prepared for the National Institute of Building Sciences. Menlo Park, California.

Author Information

Mourad Bouhafs, Director, Software Engineering. mouradb@riskinc.com

Chessy Si, Senior GIS Engineer. chessys@riskinc.com

Robert Scott Lawson, Associate Vice President, Technical Services. scottl@riskinc.com

Jawhar Bouabid, Engineering Manager. jawharb@riskinc.com

Risk Management Solutions, Inc., 149 Commonwealth Drive, Menlo Park, California 94025, USA

Tel.: (415)617-6500, Fax: (415)617-6602