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An inside look at the science of cleaning up and fixing the mess of marine pollution


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Using Big Data to Restore the Gulf of Mexico

This is a post by Ocean Conservancy’s Elizabeth Fetherston.

If I ask you to close your eyes and picture “protection for marine species,” you might immediately think of brave rescuers disentangling whales from fishing gear.

Or maybe you would imagine the army of volunteers who seek out and protect sea turtle nests. Both are noble and worthwhile endeavors.

But 10 years of ocean conservation in the southeast United States has taught me that protecting marine species doesn’t just look like the heroic rescue of adorable species in need.

I’ve learned that it also looks like the screen of 1s and 0s from the movie The Matrix.

Let me explain.

Much of what goes on with marine life in the Gulf of Mexico—and much of the rest of the ocean—is too dark and distant to see and measure easily or directly. Whales and fish and turtles move around a lot. This makes it difficult to collect information on how many there are in the Gulf and how well those populations are doing.

In order to assess their health, you need to know where these marine species go, what they eat, why they spend time in certain areas (for food, shelter, or breeding?), and more. This information may come from a number of places—state agencies, universities, volunteer programs, you name it—and be stored in a number of different file formats.

Until recently, there was no real way to combine all of these disparate pixels of information into a coherent picture of, for instance, a day in the life of a sea turtle. DIVER, NOAA’s new website for Deepwater Horizon assessment data, gives us the tools to do just that.

Data information and integration systems like DIVER put all of that information in one place at one time, allowing you to look for causes and effects that you might not have ever known were there and then use that information to better manage species recovery. These data give us a new kind of power for protecting marine species.

Of course, this idea is far from new. For years, NOAA and ocean advocates have both been talking about a concept known as “ecosystem-based management” for marine species. Put simply, ecosystem-based management is a way to find out what happens to the larger tapestry if you pull on one of the threads woven into it.

For example, if you remove too many baitfish from the ecosystem, will the predatory fish and wildlife have enough to eat? If you have too little freshwater coming through the estuary into the Gulf, will nearby oyster and seagrass habitats survive? In order to make effective and efficient management decisions in the face of these kinds of complex questions, it helps to have all of the relevant information working together in a single place, in a common language, and in a central format.

Screenshot of DIVER tool showing map of Gulf of Mexico and list of data results in a table.

A view of the many sets of Gulf of Mexico environmental data that the tool DIVER can bring together. (NOAA)

So is data management the key to achieving species conservation in the Gulf of Mexico? It just might be.

Systems like DIVER are set up to take advantage of quantum leaps in computing power that were not available to the field of environmental conservation 10 years ago. These advances give DIVER the ability to accept reams of diverse and seemingly unrelated pieces of information and, over time, turn them into insight about the nature and location of the greatest threats to marine wildlife.

The rising tide of restoration work and research in the Gulf of Mexico will bring unprecedented volumes of data that should—and now can—be used to design and execute conservation strategies with the most impact for ocean life in our region. Ocean Conservancy is excited about the opportunity for systems like DIVER to kick off a new era in how we examine information and solve problems.

Elizabeth Fetherston is a Marine Restoration Strategist with Ocean Conservancy. She is based in St. Petersburg, Florida and works to ensure restoration from the Deepwater Horizon oil disaster is science-based, integrated across political boundaries, fully funded, and inclusive of offshore Gulf waters where the spill originated.


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NOAA Builds Tool to Hold Unprecedented Amounts of Data from Studying an Unprecedented Oil Spill

This is a post by Benjamin Shorr of NOAA’s Office of Response and Restoration.

The Deepwater Horizon Oil Spill: Five Years Later

This is the seventh in a series of stories over the coming weeks looking at various topics related to the response, the Natural Resource Damage Assessment science, restoration efforts, and the future of the Gulf of Mexico.

The Deepwater Horizon oil spill was the largest marine oil spill in U.S. history. In the wake of this massive pollution release, NOAA and other federal and state government scientists need to determine how much this spill and ensuing response efforts harmed the Gulf of Mexico’s natural resources, and define the necessary type and amount of restoration.

That means planning a lot of scientific studies and collecting a lot of data on the spill’s impacts, an effort beginning within hours of the spill and continuing to this day.

Scientists collected oil samples from across the Gulf Coast. Oil spill observers snapped photographs of oil on the ocean surface from airplanes. Oceanographic sensors detected oil in the water column near the Macondo wellhead. Biologists followed the tracks of tagged dolphins as they swam through the Gulf’s bays and estuaries. Scientists are using this type of information—and much more—to better understand and assess the impacts to the Gulf ecosystem and people’s uses of it.

But what is the best way to gather together and organize what would become an unprecedented amount of data for this ongoing Natural Resource Damage Assessment process? Scientists from across disciplines, agencies, and the country needed to be able to upload their own data and download others’ data, in addition to searching and sorting through what would eventually amount to tens of thousands of samples and millions of results and observations.

First, a Quick Fix

Early on, it became clear that the people assessing the spill’s environmental impacts needed a single online location to organize the quickly accumulating data. To address this need, a team of data management experts within NOAA began creating a secure, web-based data repository.

This new tool would allow scientific teams from different organizations to easily upload their field data and other key information related to their studies, such as scanned field notes, electronic data sheets, sampling protocols, scanned images, photographs, and navigation information. Graphic with gloved hands pouring liquid from sample jar into beaker and numbers of samples, results, and studies resulting from NOAA efforts. While this data repository was being set up, NOAA needed an interim solution and turned to its existing database tool known as Query Manager. Query Manager allowed users to sort and filter some of the data types being collected for the damage assessment—including sediment, tissue, water, and oil chemistry results, as well as sediment and water toxicity data—but the scope and scale of the Deepwater Horizon oil spill called for more flexibility and features in a data management tool. When NOAA’s new data repository was ready, it took over from Query Manager.

Next, a New Data Management Solution

As efforts to both curtail and measure the spill’s impacts continued, the amount and diversity of scientific data began pouring in at unprecedented rates. The NOAA team working on the new repository took stock of the types of data being entered into it and realized a database alone would not be enough. They searched for a better way to not only manage information in the repository but to organize the data and make them accessible to myriad scientists on the Gulf Coast and in laboratories and offices across the country.

Building on industry standard, open source tools for managing “big data,” NOAA developed a flexible data management tool—known as a “data warehouse”—which gives users two key features. First, it allows them to integrate data sets and documents as different as oceanographic sensor data and field observations, and second, it allows users to filter and download data for further analysis and research.

Now, this data warehouse is a little different than the type of physical warehouse where you stack boxes of stuff on row after row of shelves in a giant building. Instead, this web-based warehouse contains a flexible set of tables which can hold various types of data, each in a specific format, such as text documents in .pdf format or images in .jpg format.

Screenshot of data management tool showing map with locations of various data.

NOAA’s data management tool allows users to integrate very different data sets and documents, such as water and oil samples and field observations, as well as filter and download data for further analysis and research. (NOAA)

To fill this digital warehouse with data, the development team worked with the scientific and technical experts, who in many cases were out collecting data in places impacted by the oil spill, to establish a flow of information into the appropriate tables in the warehouse. In addition, they standardized formats for entering certain data, such as date, types of analysis, and names of species.

Manual and automated checks ensure the integrity of the data being entered, a process which gets easier as new data arrive in the warehouse and are incorporated into the proper table. The process of standardizing and integrating data in one accessible location also helps connect cross-discipline teams of scientists who may be working on different parts of the ecosystem, say marsh versus nearshore waters.

The NOAA team has also created a custom-built “query tool” for the data warehouse that can search and filter all of those diverse data in a variety of ways. A user can filter data by one or more values (such as what type of analysis was done), draw a box around a specific geographic area to search and filter data by location, select a month and year to sort by date sampled, or even type in a single keyword or sample ID. This feature is critical for the scientists and technical teams tasked with synthesizing data across time and space to uncover patterns of environmental impact.

Download the Data Yourself

NOAA’s data warehouse currently holds validated damage assessment data from more than 53,000 water, tissue, oil, and sediment samples, which, once these samples were analyzed, have led to over 3.8 million analytical results, also stored within the new tool. Together, NOAA’s samples and analytical results have informed more than 16 scientific studies published in peer-reviewed scientific journals, as well as many other academic and scientific publications.

While not all of the data from the damage assessment are publicly available yet, you can access validated data collected through cooperative studies or otherwise made available through the Natural Resource Damage Assessment legal process.

You can find validated data exported from NOAA’s digital data warehouse available for download on both the Natural Resource Damage Assessment website and NOAA’s interactive online mapping tool for this spill, the ERMA Deepwater Gulf Response website. Stay tuned for more about this new tool, including additional details on how it works and where you can find it.


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NOAA’s Online Mapping Tool ERMA Opens up Environmental Disaster Data to the Public

Six men looking at a map with a monitor in the background.

Members of the U.S. Coast Guard using ERMA during the response to Hurricane Isaac in 2012. (NOAA)

This is a post by the NOAA Office of Response and Restoration’s Jay Coady, Geographic Information Systems Specialist.

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March 15-21, 2015 is Sunshine Week, an “annual nationwide celebration of access to public information and what it means for you and your community.” Sunshine Week is focused on the idea that open government is good government. We’re highlighting NOAA’s Environmental Response Management Application (ERMA) as part of our efforts to provide public access to government data during oil spills and other environmental disasters.    

Providing access to data is a challenging task during natural disasters and oil spill responses—which are hectic enough situations on their own. Following one of these incidents, a vast amount of data is collected and can accumulate quickly. Without proper data management standards in place, it can take a lot of time and effort to ensure that data are correct, complete, and in a useful form that has some kind of meaning to people. Furthermore, as technology advances, responders, decision makers, and the public expect quick and easy access to data.

NOAA’s Environmental Response Management Application (ERMA®) is a web-based mapping application that pulls in and displays both static and real-time data, such as ship locations, weather, and ocean currents. Following incidents including the 2010 Deepwater Horizon oil spill and Hurricane Sandy in 2012, this online tool has aided in the quick display of and access to data not only for responders working to protect coastal communities but also the public.

From oil spill response to restoration activities, ERMA plays an integral part in environmental data dissemination. ERMA reaches a diverse group of users and maintains a wide range of data through a number of partnerships across federal agencies, states, universities, and nations.

Because it is accessible through a web browser, ERMA can quickly communicate data between people across the country working on the same incident. At the same time, ERMA maintains a public-facing side which allows anyone to access publically available data for that incident.

ERMA in the Spotlight

During the Deepwater Horizon oil spill in the Gulf of Mexico, ERMA was designated as the “common operational picture” for the federal spill response. That meant ERMA displayed response-related activities and provided a consistent visualization for everyone involved—which added up to thousands of people.

Screen grab of ERMA map.

ERMA map showing areas of dispersant application during the response to the Deepwater Horizon oil spill in 2010. (NOAA)

To date, the ERMA site dedicated solely to the Deepwater Horizon spill contains over 1,500 data layers that are available to the public. Data in ERMA are displayed in layers, each of which is a single set of data. An example of a data layer is the cumulative oil footprint of the spill. This single data layer shows, added together, the various parts of the ocean surface the oil spill affected at different times over the entire course of the spill, as measured by satellite data. Another example is the aerial dispersant application data sets that are grouped by day into a single data layer and show the locations of chemical dispersant that were applied to oil slicks in 2010.

Even today, ERMA remains an active resource during the Natural Resource Damage Assessment process, which evaluates environmental harm from the oil spill and response, and NOAA releases data related to these efforts to the public as they become available. ERMA continues to be one of the primary ways that NOAA shares data for this spill with the public.

ERMA Across America

While the Deepwater Horizon oil spill may be one ERMA’s biggest success stories, NOAA has created 10 other ERMA sites customized for various U.S. regions. They continue to provide data related to environmental response, cleanup, and restoration activities across the nation’s coasts and Great Lakes. These 10 regional ERMA sites together contain over 5,000 publicly available data layers, ranging from data on contaminants and environmentally sensitive resources to real-time weather conditions.

For example, in 2012, NOAA used Atlantic ERMA to assist the U.S. Coast Guard, Environmental Protection Agency, and state agencies in responding to pollution in the wake of Hurricane Sandy. Weather data were displayed in near real time as the storm approached the East Coast, and response activities were tracked in ERMA. The ERMA interface was able to provide publically available data, including satellite and aerial imagery, storm inundation patterns, and documented storm-related damages. You can also take a look at a gallery of before-and-after photos from the Sandy response, as viewed through Atlantic ERMA.

Screen grab of an ERMA map.

An ERMA map showing estimated storm surge heights in the Connecticut, New York and New Jersey areas during Hurricane Sandy. (NOAA)

In addition, the ERMA team partnered with NOAA’s Marine Debris Program to track Sandy-related debris, in coordination with state and local partners. All of those data are available in Atlantic ERMA.

Looking to the north, ERMA continues to be an active tool in Arctic oil spill response planning. For the past two years, members of the ERMA team have provided mapping support using Arctic ERMA during the U.S. Coast Guard’s Arctic Technology Evaluation exercises, which took place at the edge of the sea ice north of Barrow, Alaska. During these exercises, the crew and researchers aboard a Coast Guard icebreaker tested potential technologies for use in Arctic oil spill response, such as unmanned aircraft systems. You can find the distributions of sensitive Alaskan bird populations, sea ice conditions, shipping routes, and pictures related to these Arctic exercises, as well as many more data sets, in Arctic ERMA.

Screen grab of an Arctic ERMA map.

ERMA is an active tool in Arctic oil spill response planning. (NOAA)

To learn more about the online mapping tool ERMA, visit http://response.restoration.noaa.gov/erma.

Jay Coady is a GIS Specialist with the Office of Response and Restoration’s Spatial Data Branch and is based in Charleston, South Carolina. He has been working on the Deepwater Horizon incident since July 2010 and has been involved in a number of other responses, including Post Tropical Cyclone Sandy.


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Our Top 10 New Year’s Resolutions for 2015

2014 written in the sand.

Good bye, 2014. Credit: Marcia Conner/CC BY-NC-SA 2.0

While we have accomplished a lot in the last year, we know that we have plenty of work ahead of us in 2015.

As much as we wish it were so, we realize oil and chemical spills, vessel groundings, and marine debris will not disappear from the ocean and coasts in the next year. That means our experts have to be ready for anything, but specifically, for providing scientific solutions to marine pollution.

Here are our plans for doing that in 2015:

  1. Exercise more. We have big plans for participating in oil spill exercises and performing trainings that will better prepare us and others to deal with threats from marine pollution.
  2. Be safer. We work up and down the nation’s coastlines, from tropical to arctic environments. Many of these field locations are remote and potentially hazardous. We will continue to assess and improve our equipment and procedures to be able to work safely anywhere our services are needed.
  3. Keep others safe. We are improving our chemical response software CAMEO, which will help chemical disaster responders and planners get the critical data they need, when and where they need it.
  4. Get others involved. We are partnering with the University of Washington to explore ways average citizens can help contribute to oil spill science.
  5. Communicate more effectively. This spring, we will be hosting a workshop for Alaskan communicators and science journalists on research-based considerations for communicating about chemical dispersants and oil spills.
  6. Be quicker and more efficient. We will be releasing a series of sampling guidelines for collecting high-priority, time-sensitive data in the Arctic to support Natural Resource Damage Assessment and other oil spill science.
  7. Sport a new look. An updated, more mobile-friendly look is in the works for NOAA’s Damage Assessment, Remediation, and Restoration Program website. Stay tuned for the coming changes at http://www.darrp.noaa.gov.
  8. Unlock access to data. We are getting ready to release public versions of an online tool that brings together data from multiple sources into a single place for easier data access, analysis, visualization, and reporting. This online application, known as DIVER Explorer, pulls together natural resource and environmental chemistry data from the Deepwater Horizon oil spill damage assessment, and also for the Great Lakes and U.S. coastal regions.
  9. Clean up our act. Or rather, keep encouraging others to clean up their act and clean up our coasts. We’re helping educate people about marine debris and fund others’ efforts to keep everyone’s trash, including plastics, out of our oceans.
  10. Say farewell. To oil tankers with single hulls, that is. January 1, 2015 marks the final phase-out of single hull tankers, a direct outcome of the 1989 Exxon Valdez oil spill.


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Adventures in Developing Tools for Oil Spill Response in the Arctic

This is a post by the Office of Response and Restoration’s Zachary Winters-Staszak. This is the third in a series of posts about the Arctic Technology Evaluation supporting Arctic Shield 2014. Read the first post, “NOAA Again Joins Coast Guard for Oil Spill Exercise in the Arctic” and the second post, “Overcoming the Biggest Hurdle During an Oil Spill in the Arctic: Logistics.”

People in a boat lowering orange ball into icy waters.

The crew of the icebreaker Healy lowering an iSphere onto an ice floe to simulate tracking oil in ice. (NOAA/Jill Bodnar)

The Arctic Ocean, sea ice, climate change, polar bears—each evokes a vivid image in the mind. Now what is the most vivid image that comes to mind as you read the word “interoperability”? It might be the backs of your now-drooping eyelids, but framed in the context of oil spill response, “interoperability” couldn’t be more important.

If you’ve been following our latest posts from the field, you know Jill Bodnar and I have just finished working with the U.S. Coast Guard Research and Development Center on an Arctic Technology Evaluation during Arctic Shield 2014. We were investigating the interoperability of potential oil spill response technologies while aboard the Coast Guard icebreaker Healy on the Arctic Ocean.

Putting Square Pegs in Round Holes

As Geographic Information Systems (GIS) map specialists for NOAA’s Office of Response and Restoration, a great deal of our time is spent transforming raw data into a visual map product that can quickly be understood. Our team achieves this in large part by developing a versatile quiver of tools tailored to meet specific needs.

For example, think of a toddler steadfastly—and vainly—trying to shove that toy blue cylinder into a yellow box through a triangular hole. This would be even more difficult if there were no circular hole on that box, but imagine if instead you could create a tool to change those cylinders to fit through any hole you needed. With computer programming languages we can create interoperability between technologies, allowing them to work together more easily. That cylinder can now go through the triangular hole.

New School, New Tools

Different technologies are demonstrated each year during Arctic Shield’s Technology Evaluations and it is common for each technology to have a different format or output, requiring them to be standardized before we can use them in a GIS program like our Environmental Response Management Application, Arctic ERMA.

Taking lessons learned from Arctic Shield 2013’s Technology Evaluation, we came prepared with tools in ERMA that would allow us to automate the process and increase our efficiency. We demonstrated these tools during the “oil spill in ice” component of the evaluation. Here, fluorescein dye simulated an oil plume drifting across the water surface and oranges bobbed along as simulated oiled targets.

The first new tool allowed us to convert data recorded by the Puma, a remote-controlled aircraft run by NOAA’s Unmanned Aircraft Systems Program. This allowed us to associate the Puma’s location with the images it was taking precisely at those coordinates and display them together in ERMA. The Puma proved useful in capturing high resolution imagery during the demonstration.

A similar tool was created for the Aerostat, a helium-filled balloon connected to a tether on the ship, which can create images and real-time video with that can track targets up to three miles away. This technology also was able to delineate the green dye plume in the ocean below—a function that could be used to support oil spill trajectory modeling. We could then make these images appear on a map in ERMA.

The third tool received email notifications from floating buoys provided by the Oil Spill Recovery Institute and updated their location in ERMA every half hour. These buoys are incredibly rugged and produced useful data that could be used to track oiled ice floes or local surface currents over time. Each of the tools we brought with us is adaptable to changes on the fly, making them highly valuable in the event of an actual oil spill response.

Internet: Working With or Without You

Having the appropriate tools in place for the situation at hand is vital to any response, let alone a response in the challenging conditions of the Arctic. One major challenge is a lack of high-speed Internet connectivity. While efficient satellite connectivity does exist for simple communication such as text-based email, a robust pipeline to transmit and receive megabytes of data is costly to maintain. Similar to last year’s expedition, we overcame this hurdle by using Stand-alone ERMA, our Internet-independent version of the site that was available to Healy researchers through the ship’s internal network.

NOAA's online mapping tool Arctic ERMA displays ice conditions, bathymetry (ocean depths), and the ship track of the U.S. Coast Guard Cutter Healy during  the Arctic Technology Evaluation of Arctic Shield 2014.

NOAA’s online mapping tool Arctic ERMA displays ice conditions, bathymetry (ocean depths), and the ship track of the U.S. Coast Guard Cutter Healy during the Arctic Technology Evaluation of Arctic Shield 2014. (NOAA)

This year we took a large step forward and successfully tested a new tool in ERMA that uses the limited Internet connectivity to upload small packages (less than 5 megabytes) of new data on the Stand-alone ERMA site to the live Arctic ERMA site. This provided updates of the day’s Arctic field activities to NOAA staff back home. During an actual oil spill, this tool would provide important information to decision-makers and stakeholders at a command post back on land and at agency headquarters around the country.

Every Experience Is a Learning Experience

I’ve painted a pretty picture, but this is not to say everything went as planned during our ventures through the Arctic Ocean. Arctic weather conditions lived up to their reputation this year, with fog, winds, and white-cap seas delaying and preventing a large portion of the demonstration. (This was even during the region’s relatively calm, balmy summer months.)

Subsequently, limited data and observations were produced—a sobering exercise for some researchers. I’ve described only a few of the technologies demonstrated during this exercise, but there were unexpected issues with almost every technology; one was even rendered inoperable after being crushed between two ice floes. In addition, troubleshooting data and human errors added to an already full day of work.

Yet every hardship allowed those of us aboard the Healy to learn, reassess, adapt, and move forward with our work. The capacity of human ingenuity and the tools we can create will be tested to their limits as we continue to prepare for an oil spill response in the harsh and unpredictable environs of the Arctic. The ability to operate in these conditions will be essential to protecting the local communities, wildlife, and coastal habitats of the region. The data we generate will help inform crucial and rapid decisions by resource managers, making interoperability along with efficient data management and dissemination fundamental to effective environmental response.

Editor’s note: Use Twitter to chat directly with NOAA GIS specialists Zachary Winters-Staszak and Jill Bodnar about their experience during this Arctic oil spill simulation aboard an icebreaker on Thursday, September 18 at 2:00 p.m. Eastern. Follow the conversation at #ArcticShield14 and get the details: http://1.usa.gov/1qpdzXO.

Bowhead whale bones and a sign announcing Barrow as the northernmost city in America welcomed me to the Arctic.

Bowhead whale bones and a sign announcing Barrow as the northernmost city in America welcomed Zachary Winters-Staszak to the Arctic in 2013. (NOAA)

Zachary Winters-Staszak is a GIS Specialist with the Office of Response and Restoration’s Spatial Data Branch. His main focus is to visualize environmental data from various sources for oil spill planning, preparedness, and response. In his free time, Zach can often be found backpacking and fly fishing in the mountains.


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Join NOAA for a Tweetchat on Preparing for Arctic Oil Spills

 

Coast Guard icebreaker in sea ice.

The U.S. Coast Guard Cutter Healy, a state-of-the-art icebreaker and the August 2014 home of a team of researchers evaluating oil spill technologies in the Arctic. (U.S. Coast Guard)

As Arctic waters continue to lose sea ice each summer, shipping, oil and gas exploration, tourism, and fishing will increase in the region. With more oil-powered activity in the Arctic comes an increased risk of oil spills.

In August of 2014, NOAA’s Office of Response and Restoration sent two GIS specialists aboard the U.S. Coast Guard Cutter Healy for an exercise in the Arctic Ocean demonstrating oil spill tools and technologies. This scientific expedition provided multiple agencies and institutions with the invaluable opportunity to untangle some of the region’s knotty logistical challenges on a state-of-the-art Coast Guard icebreaker in the actual Arctic environment. It is one piece of the Coast Guard’s broader effort known as Arctic Shield 2014.

Part of NOAA’s focus in the exercise was to test the Arctic Environmental Response Management Application (ERMA®), our interactive mapping tool for environmental response data, during a simulated oil spill.

Join us as we learn about NOAA’s role in the mission and what life was like aboard an icebreaker. Use Twitter to ask questions directly to NOAA GIS specialists Jill Bodnar and Zachary Winters-Staszak.

Get answers to questions such as:

  • What type of technologies did the Coast Guard Research and Development Center (RDC) and NOAA test while aboard the Healy and what did we learn?
  • What was a typical day like on a ship that can break through ice eight feet thick?
  • Why can’t we just simulate an Arctic oil spill at home? What are the benefits of first-hand experience?

Tweetchat Details: What You Need to Know

What: Use Twitter to chat directly with NOAA GIS specialists Jill Bodnar and Zachary Winters-Staszak.

When: Thursday, September 18, 2014 from 11:00 a.m. Pacific to 12:00 p.m. Pacific (2:00 p.m. Eastern to 3:00 p.m. Eastern).

How: Tweet questions to @NOAAcleancoasts using hashtag #ArcticShield14. You can also submit questions in advance via orr.rsvp.requests@noaa.gov, at www.facebook.com/noaaresponserestoration, or in the comments here.

About NOAA’s Spatial Data Branch

Jill Bodnar is a GIS specialist in the Assessment and Restoration Division of NOAA’s Office of Response and Restoration. She is an experienced oil spill responder and has been mapping data during oil spills for more than a decade. This is her first trip to the Arctic.

Zachary Winters-Staszak is a GIS specialist in the Assessment and Restoration Division of NOAA’s Office of Response and Restoration. While not aboard the Healy, he co-leads an effort to manage data and foster partnerships for Arctic ERMA. This is his second time participating in the annual Arctic Technology Evaluation in support of Arctic Shield. You can listen to him discuss this exercise and NOAA’s participation in a NOAA’s Ocean Service audio podcast from August 2014.

About Oil Spills and NOAA

Every year NOAA’s Office of Response and Restoration (OR&R) responds to more than a hundred oil and chemical spills in U.S. waters. OR&R is a center of expertise in preparing for, evaluating, and responding to threats to coastal environments, including oil and chemical spills, releases from hazardous waste sites, and marine debris. This work also includes determining damage to coastal lands and waters after oil spills and other releases and rotecting and restoring marine and coastal areas, including coral reefs.

Learn more about how NOAA responds to oil spills and the full range of OR&R’s activities in the Arctic.


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Overcoming the Biggest Hurdle During an Oil Spill in the Arctic: Logistics

Ship breaking ice in Arctic waters.

The U.S. Coast Guard Cutter Healy breaks ice in Arctic waters. A ship like this would be the likely center of operations for an oil spill in this remote and harsh region. (NOAA)

August in the Arctic can mean balmy weather and sunny skies or, fifteen minutes later, relentless freezing rain and wind blowing off ice floes, chilling you to the core. If you were headed to an oil spill there, your suitcase might be carrying a dry suit, down parka, wool sweaters and socks, your heaviest winter hat and gloves, and even ice traction spikes for your boots. Transit could mean days of travel by planes, car, and helicopter to a ship overseeing operations at the edge of the oil spill. Meanwhile, the oil is being whipped by the wind and waves into the nooks and crannies on the underside of sea ice, where it could be frozen into place.

Even for an experienced oil spill responder like Jill Bodnar, the complexity of working in such conditions goes far beyond the usual response challenges of cleaning up the oil, gathering data about the spill, and minimizing the impacts to marine life and their sensitive habitats. Rather, in the Arctic, everything comes down to logistics.

The unique logistics of this extreme and remote environment drive to the heart of why Bodnar, a NOAA Geographic Information Systems (GIS) specialist, and her colleague Zachary Winters-Staszak are currently on board the U.S. Coast Guard Cutter Healy, at the edge of the sea ice north of Alaska. They are participating in an Arctic Technology Evaluation, an exercise conducted by the U.S. Coast Guard Research and Development Center (RDC) in support of the Coast Guard’s broader effort known as Arctic Shield 2014.

Building on what was learned during the previous year’s exercise, the advanced technologies being demonstrated in this evaluation could potentially supplement those tools and techniques responders normally would rely on during oil spills in more temperate and accessible locations. This Arctic Technology Evaluation provides multiple agencies and institutions, in addition to NOAA, the invaluable opportunity to untangle some of the region’s knotty logistical challenges on a state-of-the-art Coast Guard icebreaker in the actual Arctic environment.

Getting from A to B: Not as Easy as 1-2-3

Bodnar has been mapping data during oil spills for more than a decade, but this exercise is her first trip to the Arctic. While preparing for it, she found it sobering to learn just how many basic elements of a spill response can’t be taken for granted north of the Arctic Circle. In addition to the scarcity of roads, airports, and hotels, other critical functions such as communications are subject to the harsh Arctic conditions and limited radio towers and satellite coverage. Out at sea ships depend on satellites for phone calls and some Internet connectivity, but above the 77th parallel those satellites often drop calls and can only support basic text email.

The remoteness of the Arctic questions how hundreds of responders would get there, along with all the necessary equipment—such as boom, skimmers, and vessels—not already in the area. Once deployed to the spill, response equipment has the potential to ice-over, encounter high winds, or be grounded from dense fog. Communicating with responders and decision makers on other ships, on shore at a command post, or even farther away in the lower 48 states would be an enormous challenge.

For example, if an oil spill occurs in the Beaufort Sea, north of Alaska, the nearest and “largest” community is Barrow, population 4,429. However, Barrow has very limited accommodations. For comparison, 40,000 people, including Bodnar, responded to the 2010 Deepwater Horizon oil spill in the Gulf of Mexico. This was possible because of the spill’s proximity to large cities with hotel space and access to food and communications infrastructure.

This is not the case for small Arctic villages, where most of their food, fuel, and other resources have to be shipped in when the surrounding waters are relatively free of ice. But to respond to a spill in the Arctic, the likely center of operations would be on board a ship, yet another reason working with the Coast Guard during Arctic Shield is so important for NOAA.

NOAA’s Role in Arctic Shield 2014

During this August’s Arctic Technology Evaluation, the Coast Guard is leading tests of four key areas of Arctic preparedness. NOAA’s area focuses on how oil disperses at the edge of the sea ice and collects under the older, thicker ice packs. NOAA’s Office of Response and Restoration is working with NOAA’s Unmanned Aircraft Systems (UAS) program to develop techniques for quickly identifying and delineating a simulated oil spill in the Arctic waters near the ice edge. The Coast Guard will be using both an unreactive, green fluorescein dye and hundreds of oranges as “simulated oil” for the various tools and technologies to detect.

Normally during an oil spill, NOAA or the Coast Guard would send people up in a plane or helicopter to survey the ocean for the oil’s precise location, which NOAA also uses to improve its models of the oil’s expected behavior. However, responders can’t count on getting these aircraft to a spill in the Arctic in the first place—much less assume safe conditions for flying once there.

Instead, the UAS group is testing the feasibility of using unmanned, remote-controlled aircraft such as the Puma to collect this information and report back to responders on the ship. Bodnar and Winters-Staszak will be pulling these data streams from the Puma into Arctic ERMA®, NOAA’s mapping tool for environmental response data. They’ll be creating a data-rich picture of where the oil spill dye and oranges are moving in the water and how they are behaving, particularly among the various types of sea ice.

Once the oil spill simulation is complete, Bodnar and Winters-Staszak will be reporting back on how it went and what they have learned. Stay tuned for the expedition’s progress in overcoming the many logistical hurdles of a setting as severe as the Arctic here and at oceanservice.noaa.gov/arcticshield.

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