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HHS Recovery Act Recipient Reporting Readiness Tool

Step 4. Review and Copy the Grant Awards Data

TAGGS provides some – but not all – of the data needed for the Recipient Report. Recipients are responsible for directly collecting and reporting all required data to FederalReporting.gov. Data that HHS does not currently collect are highlighted in yellow. Do not copy this highlighted information. Please enter the appropriate data for your organization in these required fields. For assistance with entering these data please contact FederalReporting.gov.

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Award Detail for: RESPIRATORY HEALTH IMPACTS OF WILDFIRE PARTICULATE EMISSIONS UNDER CLIMATE CHANGE
MICHIGAN TECHNOLOGICAL UNIVERSITY
DUNS Number: 065453268
1400 TOWNSEND DRIVE
HOUGHTON, MI 49931-1200
Recipient Report: Grant or Loan
Prime Recipient

Reporting Information
Award Type Award Number Final Report
Grant 5RC1ES018612-02 Recipient responsible for this data

Award Recipient Information
Recipient DUNS Number Recipient Account Number Recipient Congressional District
065453268 Recipient responsible for this data 1

Award Information
Funding Agency Code Awarding Agency Code Award Date
7529 7529 07-29-2010
Amount of Award Sub Account Number for Program Source (TAS)  
$ 348,635 Recipient responsible for this data
Program Source (TAS)* CFDA Number 
750863 93.701
Total Number of Sub Awards to Individuals Total Amount of Sub Awards to Individuals
Recipient responsible for this data Recipient responsible for this data
Total Number of Payments to Vendors less than $25,000/award Total Amount of Payments to Vendors less than $25,000/award
Recipient responsible for this data Recipient responsible for this data
Total Number of Sub Awards less than $25,000/award Total Amount of Sub Awards less than $25,000/award
Recipient responsible for this data Recipient responsible for this data
Award Description
DESCRIPTION (provided by applicant): This project falls under challenge area 15: Translational Science, addressing challenge topic 15-TW- 101 Models to predict health effects of climate change. One potential result of climate change in the United States is increased frequency and intensity of wildland fires. These wildfire fires have the potential to destroy large amounts of public and private property, as was seen during the summer of 2003 and 2007 in San Diego County, California. In addition to this, there is evidence that particulate emissions from these extreme fire events lead to public health problems, particularly respiratory and cardiac related distress. It is important to understand the effects that climate change will have on the health of populations that are vulnerable to increased exposure to particulate emissions from wildfires. In this project we propose to create a comprehensive descriptive and predictive wildland fire particulate emissions model that will allow us to quantify the exposure of populations to particulate emissions during fire events. Levels of exposure will be compared to public health records to quantify the effect of wildland fire emissions on public health. In specific aim #1, we will construct an emissions profile for the 2003 and 2007 forest fires in our study area of Southern California. This will be accomplished using remotely sensed burn intensity, fire progression, posterior severity profile, and fuels modeling. In specific aim #2, we propose the use and modification of an existing plume advection and dispersion model to relate the wildfire emissions to particulate matter concentrations in downwind populated areas. The spatial estimate of particulate matter concentrations will be conditioned to in situ particulate matter concentrations measurements from ground stations. For specific aim #3, we will use the results of the plume dispersion model along with spatially explicit health surveillance data to quantify particulate emission exposure levels on a ZIP code or finer scale, relating these exposure levels to respiratory and cardiovascular health responses. Finally, for specific aim #4, we will use our modeling framework to examine realistic changes in the fire regime under different climate change scenarios and estimate the impact that changes in particulate emissions will have on public health. This will allow for public health officials to plan for scenarios where air quality may be affected by more frequent and intense wildland fires during a potentially longer fire season. In addition, systems can be implemented to preemptively alert the public to potential decreases in air quality from smoke events. Climate change has the potential to increase the frequency and intensity of wildland fires in the United States. Particulate emissions from wildland fires near urban areas have been shown to have an adverse effect on the respiratory and cardiac health of those populations. The goals of this proposal are to: 1) quantify the amount and type of emissions from wildland fires in specific regions of the United States, 2) use smoke plume models to quantify the exposure of urban populations to particulate emissions from wildland fires, 3) assess the impact that these emissions have by measuring increases in respiratory distress and illness as a function of spatially indexed particulate matter concentrations, and 4) quantify the effect that different climate change scenarios will have on increased frequency and intensity of wildland fires and from that, the effect it will have on the public health of vulnerable areas.

Project Information
Project Name or
Project/Program Title
Project Status Total Federal Amount ARRA Funds
Received/Invoiced
RESPIRATORY HEALTH IMPACTS OF WILDFIRE PARTICULATE EMISSIONS UNDER CLIMATE CHANGE Recipient responsible for this data Recipient responsible for this data
Number of Jobs Description of Jobs Created
Recipient responsible for this data Recipient responsible for this data
Quarterly Activities/Project Description
Recipient responsible for this data
 
Activity Code (NAICS or NTEE-NPC)
1Recipient responsible for this data2Recipient responsible for this data
3Recipient responsible for this data4Recipient responsible for this data
5Recipient responsible for this data6Recipient responsible for this data
7Recipient responsible for this data8Recipient responsible for this data
9Recipient responsible for this data10Recipient responsible for this data
Total Federal Amount of ARRA
Expenditure
Total Federal ARRA
Infrastructure Expenditure
Infrastructure Contact Name
Recipient responsible for this data Recipient responsible for this data Recipient responsible for this data
Infrastructure Contact Email Infrastructure Contact Phone Infrastructure Contact Phone Ext.
Recipient responsible for this data Recipient responsible for this data Recipient responsible for this data
Infrastructure Contact Street Address 1 Infrastructure Contact Street Address 2 Infrastructure Contact Street Address 3
1400 TOWNSEND DRIVE Not Available Recipient responsible for this data
Infrastructure City Infrastructure State Infrastructure ZIP Code+4
HOUGHTON MI 49931-1200
Infrastructure Purpose and Rationale
Recipient responsible for this data

Primary Place of Performance
Street Address 1 Street Address 2 City
3600 GREEN COURT, SUITE 100 Recipient responsible for this data ANN ARBOR
State Zip Code+4 Congressional District
MI 48105 15
Country  
US

Recipient Highly Compensated Officers
Prime Recipient Indication of Reporting Applicability # Officer Name Officer Compensation
Recipient responsible for this data 1 Recipient responsible for this data Recipient responsible for this data
2 Recipient responsible for this data Recipient responsible for this data
3 Recipient responsible for this data Recipient responsible for this data
4 Recipient responsible for this data Recipient responsible for this data
5 Recipient responsible for this data Recipient responsible for this data

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USE IN THE RECIPIENT REPORT

The information provided by this tool is baseline data that the Recipient should include in the Recipient Report that must be submitted to FederalReporting.gov beginning October 1, 2009. The data from this tool can be cut and pasted directly into the Recipient Report.