Archived page: © 2001 Environmental Legal Information Systems (ELIS). All rights reserved. The information contained in this site is for demonstration and educational purposes, and while every effort has been made to simulate a potential real response to an oil spill, the storyline is not based on actual events. Developed by Kenneth J. Markowitz for the 2nd International Symposium on Digital Earth, Fredericton, New Brunswick, Canada (June 25, 2001). The external links on this page may no longer be functional.

Application of the Scenario Template

ELIS's Emergency Response Decision Information System for Oil Spill Response has three main objectives.

1) To demonstrate prototype application of Digital Earth systems and WMS-compliant earth science data to improve environmental protection;
2) To illustrate how 'scenarios' can serve as a tool to expose users to Digital Earth science data’s capabilities and values; and
3) To better enable emergency response personnel to carry out their legally mandated responsibilities by managing and distributing legal, ecological, and response asset data in a timely and efficient manner.

The text below guides users through the steps the development team took to create the Emergency Response Decision Information System Scenario. The developers followed the guidelines of the ELIS scenario template , developed as a tool to help ESIPs and other Digital Earth groups create stories illustrating potential actions or knowledge benefits derived from integrating Digital Earth data and images into their legal, environmental, educational, and media applications.

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Identify User Community and Its Needs

The objective of the scenario is to demonstrate how the Digital Earth environment can improve the coordinated response efforts of multiple federal, state, and local agencies, contractors, and responsible parties under legal obligation to clean up the spill and protect public health and welfare. The scenario will enable the decision-maker to visualize a range of plausible outcomes based on available response assets, earth science data, and other relevant information. The scenario is designed to provide a tool for the user community to share information in real time to better coordinate response decisions and delegate responsibilities. Through the scenario, we hope to demonstrate the value of Earth Science Enterprise products and services, such as remote sensing satellite imagery, in leading to better response decisions.

The User Community

The Emergency Response Decision Information System can be used by a range of stakeholders responding to or impacted by an oil spill. The potential user communities include government agencies, responsible parties, contractors, the public, and the media.

This oil spill scenario is set in the Chesapeake Bay near Piney Point, Maryland in St. Mary's County. Below is a chart of some of the major participants in the emergency response activities. Because of the large number of agencies that would actually respond to an oil spill occurring in the Chesapeake Bay, all parties are not listed and examples of participants in each category are used instead.

Federal

Region III Regional Response Team (RRT) *

The US Coast Guard Activities Baltimore (ACTBALT)

US Coast Guard 5th District

US EPA Chesapeake Bay Program

The EPA Region 3 Inland Area Committee

The US Fish and Wildlife Service

NOAA: Chesapeake Bay Office

USGS: Chesapeake Bay Region

The National Transportation Safety Board

Federal Emergency Management Agency (FEMA)

State

Maryland Department of Natural Resources

The Maryland Department of the Environment

Maryland Department of Emergency Management

Virginia Department of Environmental Quality

Contractors Oil Spill Removal Organizations (OSRO)

Local Contractors

The Port of Baltimore

St. Mary's County

Non-Governmental

The Chesapeake Bay Foundation

Alliance for the Chesapeake Bay

Chesapeake Bay Trust

Other Chesapeake Organizations

* The Region III RRT is co-chaired by the EPA and the US Coast Guard.

User Community Needs

Potential users of the Emergency Response Decision Information System provided the development team with feedback on how a Digital Earth environment could improve their decision making ability in preparing for, responding to, and assessing the damage of an oil spill in the Chesapeake Bay. Below are excerpts from those conversations.

Steve Jarvela, US EPA Region III On-Scene Coordinator and Inland Area Committee, Chairperson offered the following insight into the information and decision making needs of the government response teams before, during, and after an environmental emergency such as an oil spill. Primary needs for information management and decision tools are in the planning stage for a response and in the natural resource damage assessment process in the aftermath of a pollution incident.

An information management system can act as a critical tool in preparation and training for oil spill response. An effective information management system would organize the usually disparate information held by the federal, state, and local agencies, as well as that of their contractors in one central location. One of the most difficult tasks in oil spill preparedness is determining the location of response assets, such as boats, pumps, and sorbent materials. A frequently updated database containing centralized information about inventory and available personnel would significantly improve an On Scene Coordinator's ability to make timely and informed decisions.

Jarvela noted the difficulty of accessing and maintaining a useful digital information system during the initial chaos immediately following the spill. During this stage the response authorities are focused on mobilization of response assets and assessing the spread and movement of the plume. Jarvela also discussed potential uses of remotely sensed satellite data or images to determine plume movement and tendencies. While he did not see much potential in using  satellites to identify oil slicks, he said that satellite data describing the currents and eddies in the area of the spill would be useful in determining the direction of oil plume movement, since projections of oil movement are based on wind and current patterns. He noted that satellite imagery would also be useful to give a view of the landscape in which the response is taking place since such an image might, for example, provide information on the proximity of the oil to streams or pipeline outflow  affect the oil movement.

An information management system would be useful in the natural resource assessment process in which damage is evaluated and steps are taken to prevent further damage.

Lt. Jg. Lisa Knopf, US Coast Guard 5th District: Activities Baltimore identified a "wish list" of the Coast Guard’s critical data needs during an emergency response to an oil spill. The primary needs were to identify the location of the oil at any given time and to predict where it will be in the near and far future. While the National Oceanic and Atmospheric Administration (NOAA) employs oil plume migration models to assist in prediction, and the Coast Guard uses historical averages to determine current and eddy movement, continuous real-time satellite imagery depicting the ocean patterns would be very useful in response.

Knopf identified an updated inventory of all available response equipment as a critical need. Because respondents to the spill include the ship, nearby ports, and contractors, the response equipment is spread-out and may not be available at the time of an emergency, even though the Coast Guard conducts regular site inspections. A dynamic GIS map identifying the location of ports, nearby ships, and contractors and the availability of response equipment would improve efficiency in response command.

An information system might also serve to regulate the use and monitor the capacity of communications equipment, such as cell phones, in the response area. Knopf stated that the majority of personnel rely on cellular equipment for all their communication needs. Identifying which cellular service providers were overloaded and which were available would facilitate response.

Other  informational requirements for the emergency response information system included data on Submerged Aquatic Vegetation (SAV), a factor in determining the method of cleanup; maps of areas of primary importance to protect from oil such as fish hatcheries, historical areas, and areas of water uptake; ship routes; an address book function containing emergency response numbers; and training for Volunteer/Contractor crews.

Knopf also discussed problems an emergency response information system might face. Accessibility is the largest concern for such a system, like any technology system that has been used in the field. Workers in the field may find using a computer system more of a burden that a benefit when they are trying to work as fast as possible to contain an oil spill.

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Focus on Specific Functions
The Emergency Response Decision Information System is designed to assist the  response team in carrying out functions such as:

Predicting plume movement and dispersion

Minimizing damage to fishing resources and sensitive ecosystems

Protecting drinking water supplies

Disseminating information about the spill to local authorities

Assessing damage to natural resources from spill

Preparation for future spills

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Identify Relevant Data Sets and Providers
Necessary data for successful oil spill response include Real Time Weather and Tidal Data; Location of Fishing Resources; Population Data; Transportation/Shipping Routes; Laws; Location of Emergency Response Equipment; Sensitive Shoreline Indices; and Locations of Marine Protected Areas.

Remote Sensing Data Providers
The NASA Distributed Active Archive Centers (DAACs) including:
USGS EROS Data Center (EDC) Landsat Data
NASA Jet Propulsion Lab (JPL) Ocean Process Data
Socioeconomic Data Applications Center (SEDAC) Socioeconomic Data
NASA’s Earth Science Information Partners (ESIP) Federation Data Page
THe ESIP Federation is comprised of the DAACs and other earth science information providers including:
Environmental Legal Information Systems (ELIS)
Ocean-ESIP
Bay Area Shared Information Consortium (BASIC)

Chesapeake Bay Data Providers

Available Data

Oil Spill Cleanup And Response (OSCAR) Mapper

The Chesapeake Bay Program OSCAR Mapper generates maps of EPA-listed Sensitive Areas and other marine resources in the Chesapeake Bay Area. Not in real-time. Map of National Parks in the Piney Point, MD Area

Chesapeake Bay Observing System

Data: Provides real-time data for Wind Speed/Direction, Wind Gust, Air Temperature, Relative Humidity,   Current Speed/Direction, Conductivity, Water Temperature, Salinity, Dissolved Oxygen, Rainfall,   Photosynthetically Active Radiation (PAR), and Ocean Color. Coverage for entire Chesapeake Bay.

NOAA National Data Buoy Center (NDBC) Moored Buoys and C-MAN Stations

Data: Website provides real time and Historic (45-day) Data from Buoys (Moored Buoy: 44014 off the coast of Virginia) and C-Man Stations (Thomas Point, MD (TPLM2) and Chesapeake Light, VA (CHLV2)): Wind Direction, Wind Speed, Wind Gust, Wave Height, Dominant Wave Period, Atmospheric Pressure, Pressure Tendency, Air Temperature, Water Temperature, and Dew Point

Chesapeake Bay National Estuarine Research Reserve (NERR) - Maryland  

Data: Water temperature; Specific conductivity; Salinity; Water Depth; Dissolved Oxygen; pH; Turbidity; Wind Speed/Direction; Barometric Pressure; Air Temperature; Relative Humidity; Rainfall; Photosynthetically Active Radiation (PAR)  

NOAA's CoastWatch Program and CoastWatch Southeast Node

NOAA's CoastWatch Program makes satellite data products and in-situ data available to Federal, state, and local marine scientists and coastal resource managers.

Current Local Weather Data

Online weather reports , local news stations

Environmental Legal Information Systems (ELIS)

Legal requirements for coordinated oil spill response

Current Local Tide Data NOAA Tides Online: Closest Tide Station to Piney Point is # 8574680
Marine Weather Information NOAA Marine Weather Charts for Western Atlantic:
Tide Prediction in Chesapeake Bay Area Interactive tide predictor for numerous points in the Bay. Eractic reliability. High tide/Low tide tables.

Locations of Emergency Response Equipment

Area Contingency Plan, Oil Spill Removal Organizations (OSRO), US Coast Guard

In this step of the scenario we also identify "indicators" that can be used to determine the best case response. Identifying the salient indicators is a crucial step in all types of problem solving, because the set of indicators simplify response by serving as solvable representatives  of the problem.

The main goal of oil spill clean-up and response is protection of economically and environmentally sensitive areas. It is critical for respondents to an oil spill to  maintain and track a list of sensitivity indicators and have a current GIS map of relevant locations with as much information about the area as possible.                                                            

Sensitivity Indicators for the Chesapeake Bay include:

Population Data

Socioeconomic Resource Data

Fishing Resources

Other Recreational Use Data

Sea Surface Temperature

Areas of High Oceanic Biological Activity

Marine Protected Areas

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Specify Tools and Models to be Utilized
Once the data sets have been established, the next goal is to determine what models and other technology systems can be used in the scenario. For the oil response, a paramount necessity is the ability to know where the oil is and to predict where it is going. Oil plume models that address this need have been developed by NOAA.

GNOME

This is a general oil spill modeling tool developed by NOAA

ADIOS

An oil weathering model that incorporates an extensive database of crude oils and petroleum products. Developed by NOAA

TAP

TAP is a trajectory analysis planner that shows how spilled oil might move and spread within a particular body of water, and how it might affect sensitive sites, such as seabird rookeries or marine mammal hauling grounds.

Spill Tools

NOAA has also developed a set of Spill Tools that can be used by Spill Tools oil spill planners and responders.

Weather Satellite Derived Products from GOES

The Precipitation unit (NPPU) of the Satellite Analysis Branch (SAB) sends out text messages alerting area forecast offices whenever satellite imagery indicates the occurrence of heavy precipitation. The precipitation unit also produces a 24-hour rainfall composite graphic image covering those areas with significant precipitation. Digital data behind the graphic composite is also saved to a raw data file. These files are very large, averaging two megabytes in size.

Tide and Current Models

Predictions for currents can be made by using averages of historical tide and current data and by studing sea surface temperature charts

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Simulate Plausible Outcomes
After consideration of all the above information, the final step of the scenario is to contemplate the possible range of outcomes of an oil spill. While the US Coast Guard and the EPA are experienced practitioners of oil spill cleanup, problems can arise. For example, Lt. Jg. Knopf noted that there is a communication overloads in the field when all the emergency response personnel use cellular devices and Steve Jarvela discussed the problems that arise from not being to immediately located response equipment. Unexpected difficulties such as these may cause the worst-case scenario to occur: resulting in extensive long-term natural resource damage. The best-case scenario, however, would result from the successful implementation of the Emergency Response Decision Information System and result in minimal and short-term environmental impact.


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© 2001 Environmental Legal Information Systems (ELIS). All rights reserved. The information contained in this site is for demonstration and educational purposes, and while every effort has been made to simulate a potential real response to an oil spill, the storyline is not based on actual events.