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COMMERCE BUSINESS DAILY ISSUE OF MARCH 21,2000 PSA#2561U. S. EPA, Attn: Purchasing, P.O. Box 93478, Las Vegas, NV 89193-3478 A -- DEVELOPMENT OF STATISTICAL TECHNIQUES FOR THE INTERPOLATION OF
AIR AND DEPOSITION POLLUTANTS SOL ESD-00-001 POC Technical Contact:
Ralph Baumgardner (919/541-4625); ESD Point of Contact: Albert Witmayer
(702/798-2689) E-MAIL: To request copies of the Request for Assistance
Funding,, witmayer.albert@epa.gov. The U.S. Environmental Protection
Agency, National Exposure Research Laboratory, Environmental Sciences
Division, Landscape Characterization Branch, P.O. Box 93478, Las Vegas,
NV 89193-3478, is seeking assistance by cooperative agreement with
nonprofit or not-for-profit research organizations to collaborate on
research to develop new statistical approaches for the: (1) spatial
interpolation of air and deposition pollutant data from several
national monitoring programs; (2) design of future networks to minimize
prediction variance of spatial interpolation; and (3) visualization of
predictive analyses. This agreement shall require a 5% cost-sharing by
the recipient organization. A high degree of collaboration with the EPA
researchers involved in these activities is required (e.g., joint
planning and conduct of most tasks; co-authoring of all publications).
This research is needed to support the Regional Vulnerability
Assessment (ReVa) program that is designed to provide a regional-scale
ecological risk assessment of the mid-Atlantic region and other
regions of the U.S. ReVa is charged with providing regional-scale,
spatially-explicit information on the extent and distribution of
atmospheric stressors. Through this cooperative agreement, research
will be conducted to develop new statistical methodologies for the
prediction of precise and accurate regional patterns of pollution.
Among the data sets to be used will be data from the Clean Air Status
and Trends Monitoring Network, the National Atmospheric Deposition
Program/National Trends Network, and the National Air Monitoring
Stations/State and Local Air Monitoring Stations network. The research
issues under consideration for collaboration are listed below. 1. The
development of spatial covariance functions that model underlying
non-stationary atmospheric processes. The predictive performance of
these covariance functions should be compared to results obtained from
existing interpolation methodologies. Further, the inclusion of
co-variate information (e.g., meteorological and emissions data) to
improve the accuracy and precision of prediction should be considered.
2. Development of methods for evaluating the predictive power of
existing and planned monitoring networks. Design questions related to
monitoring networks could include: a) given an existing monitoring
network, where should an additional k stations be placed to
significantly reduce prediction variance? b) Can we delete sites and
still maintain reasonable predictive capability? c) should existing
sites be moved? and d) could sites be operated for short time period,
allowing good estimation of the spatial covariance? 3. The research
should evaluate and develop methods for combining data from several
sources(i.e., monitoring networks) to enable more accurate and precise
predications. Typically, these data vary in quality (bias and
prediction) across networks and methods are required to quantify the
additional uncertainty associated with these conditions. 4. New methods
and techniques are needed to communicate the nature and uncertainty of
predictive modeling in understandable and meaningful ways to
scientists, policy makers, and the public. What to report, as well as
how to report, is of major importance; insignificant results have to be
separated from significant ones. Patterns and the associated
uncertainties need to be displayed together. Proposals will be
evaluated by internal and external peer review and judged according to
the applicants experience with similar research activities,
qualifications of the proposed staff, demonstrated understanding of
appropriate research, and feasibility of the proposed working
arrangement with the EPA staff. The applicants proposed budget will
also be considered in the selection process. A modified quality
assurance narrative statement will be required as a part of each
proposal that respond to this solicitation. EPA yearly resources for
this activity is expected to be in the range of $125,000 to $175,000
per year for three years and could be less depending on the
availability of funds. The statutory authority for this cooperative
agreement is found in Section 103 of the Clean Air Act of 1990; 42
U.S.C.7403. Interested applicants must be eligible to receive Federal
Assistance under the Code of Federal Regulations (CFR) Part 30 --
General Regulation for Assistance Programs, and Part 40 -- Research and
Demonstration Grants. Additional technical instructions and appropriate
materials will be provided upon request. Posted 03/17/00 (W-SN435767).
(0077) Loren Data Corp. http://www.ld.com (SYN# 0009 20000321\A-0009.SOL)
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