[Federal Register: July 6, 2010 (Volume 75, Number 128)]
[Notices]
[Page 38856-38857]
[DOCID:fr06jy10-110]

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SECURITIES AND EXCHANGE COMMISSION

Proposed Collection; Comment Request

Upon Written Request, Copies Available From: Securities and Exchange
Commission, Office of Investor Education and Advocacy, Washington, DC
20549-0213.

Extension:
    Rule 0-2, Form ADV-NR; SEC File No. 270-214; OMB Control No.
3235-0240.

    Notice is hereby given that, pursuant to the Paperwork Reduction
Act of 1995 (44 U.S.C. 3501 et seq.), the Securities and Exchange
Commission (``Commission'') is soliciting comments on the collection of
information summarized below. The Commission plans to submit this
existing collection of information to the Office of Management and
Budget for extension and approval.
    The titles for the collections of information are ``Rule 0-2'' (17
CFR 275.0-2) and ``Form ADV-NR'' (17 CFR 279.4) under the Investment
Advisers Act of 1940 (15 U.S.C. 80b-1). Rule 0-2 and Form ADV-NR
facilitate service of process to non-resident investment advisers and
their non-resident general partners or non-resident managing agents.
The Form requires these persons to designate the Commission as agent
for service of process. The purpose of this collection of information
is to enable the commencement of legal and or regulatory actions
against investment advisers that are doing business in the United
States, but are not residents.
    The respondents to this information collection would be each non-
resident general partner or non-resident managing agent of an SEC-
registered adviser. The Commission has estimated that compliance with
the requirement to complete Form ADV-NR imposes a total burden of
approximately 1.0 hours for an adviser. Based on our experience with
these filings, we estimate that we will receive 18 Form ADV-NR filings
annually. Based on the 1.0 hours per respondent estimate, the
Commission staff estimates a total annual burden of 18 hours for this
collection of information.
    Written comments are invited on: (a) Whether the proposed
collection of information is necessary for the proper performance of
the functions of the agency, including whether the information will
have practical utility; (b) the accuracy of the agency's estimate of
the burden of the collection of information; (c) ways to enhance the
quality, utility, and clarity of the information collected; and (d)
ways to minimize the burden of the collection of information on
respondents, including through the use of automated collection
techniques or other forms of information technology. Consideration will
be given to comments and suggestions submitted in writing within 60
days of this publication.
    Please direct your written comments to Charles Boucher, Director/
CIO, Securities and Exchange Commission, C/O Shirley Martinson, 6432
General Green Way, Alexandria, VA 22312; or

send an e-mail to<EMAIL_ADDRESS>
    Dated: June 29, 2010.
Florence E. Harmon,
Deputy Secretary.
[FR Doc. 2010-16308 Filed 7-2-10; 8:45 am]
BILLING CODE 8010-01-P


Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 70% 49% 47% 54% 49% N/ A 47% 47% Dairy 50% 30% 29% 33% 30% N/ A 29% 30% Swine 47% 47% 47% 53% N/ A 63% 48% 51% Poultry 99% 100% 100% 100% 100% N/ A 100% 100% Poultry ( wet) 44% 43% 43% 45% N/ A 64% 43% 43% Total 70% 63% 63% 68% 75% 63% 63% 65%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 99% 98% 98% 98% 99% N/ A 98% 98% Dairy 97% 96% 95% 95% 98% N/ A 98% 98% Swine 93% 93% 92% 92% N/ A 100% 97% 100% Poultry 99% 100% 100% 100% 100% N/ A 100% 100% Poultry ( wet) 76% 75% 72% 72% N/ A 100% 72% 72% Total 97% 97% 96% 96% 99% 100% 97% 97%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% 100% 100% 100% 100% N/ A 100% 100% Dairy 99% 99% 99% 99% 100% N/ A 100% 100% Swine 100% 100% 100% 100% N/ A 100% 100% 100% Poultry 100% 100% 100% 100% 100% N/ A 100% 100% Poultry ( wet) 90% 90% 90% 90% N/ A 100% 90% 90% Total 99% 99% 99% 99% 100% 100% 99% 99%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 11% 9% 9% 9% 0% N/ A 9% 9% Dairy 4% 2% 2% 2% 0% N/ A 0% 3% Swine 1% 1% 1% 1% N/ A 100% 1% 54% Poultry 9% 100% 100% 100%  N/ A 100% 100% Poultry ( wet) 0% 0% 0% 0% N/ A 100% 0% 0% Total 8% 6% 6% 6% 0% 100% 8% 8%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 13% 10% 10% 10% 0% N/ A 10% 10% Dairy 6% 3% 3% 3% 0% N/ A 1% 9% Swine 1% 1% 1% 1% N/ A 100% 1% 58% Poultry 10% 100% 100% 100% 100% N/ A 100% 100% Poultry ( wet) 0% 0% 0% 0% N/ A 100% 0% 0% Total 3% 2% 2% 2% 0% 100% 12% 20%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 99% 99% 99% 99% 99% N/ A 99% 99% Dairy 100% 100% 100% 100% 100% N/ A 100% 100% Swine 99% 99% 99% 99% N/ A 100% 99% 100% Poultry 100% 100% 100% 100% 100% N/ A 100% 100% Table A 7. Fecal streptococcus loads from Large CAFOs in 1019 colony forming units.

Table A 8. Metals loads from Large CAFOs in millions of pounds per year. Table A 3. Nitrogen loads from Large CAFOs in millions of pounds per year.

Table A 4. Phosphorous loads from Large CAFOs in millions of pounds per year.

Table A 5. Sediment loads from Large CAFOs in millions of pounds per year.

Table A 6. Fecal coliform loads from Large CAFOs in 1019 colony forming units. Cropland Poultry ( wet) 88% 88% 88% 88% N/ A 100% 88% 88% Total 99% 99% 99% 99% 100% 100% 99% 99%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% 0% N/ A  0% 0% Poultry 0%     N/ A   Poultry ( wet) 0% 0% 0% 0% N/ A  0% 0% Total 0% 0% 0% 0% 0%  0% 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% 100% 86% 94% N/ A 100% 100% Dairy 100% 100% 79% 92% N/ A 96% 92% Swine 100% 100% 7% N/ A 139% 27% 10% Poultry 93% 94% 94% 94% N/ A 94% 94% Poultry ( wet) 100% 100% 26% N/ A 5% 100% 100% Total 98% 98% 77% 94% 434% 95% 89%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% 100% 100% 97% N/ A 100% 100% Dairy 100% 100% 100% 94% N/ A 93% 93% Swine 100% 100% 100% N/ A 79% 77% 69% Poultry 92% 96% 96% 96% N/ A 96% 96% Poultry ( wet) 100% 100% 100% N/ A 34% 100% 100% Total 98% 99% 99% 96% 63% 96% 95%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% 100% 100% 98% N/ A 100% 100% Dairy 100% 100% 100% 93% N/ A 92% 93% Swine  100% 100% N/ A 100% 100% 100% Poultry 0% 82% 82% 82% N/ A 82% 82% Poultry ( wet)  100% 100% N/ A 9% 100% 100% Total 98% 98% 98% 96% 57% 97% 98%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% 100% 100% 18% N/ A 100% 95% Dairy 100% 100% 100% 6% N/ A 5% 4% Swine 100% 100% 100% N/ A 0% 1% 0% Poultry 3% 3% 3% 9% N/ A 3% 3% Poultry ( wet) 100% 100% 100% N/ A 0% 100% 100% Total 65% 65% 65% 16% 0% 8% 7% Table A 9. Nitrogen load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A 10. Phosphorous load reductions from Large CAFOs in millions of pounds per year.

Table A 11. Sediment load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A 12. Fecal coliform load reductions from Large CAFOs in 1019 colony forming units. Table A X. BOD loads from Large CAFOs in millions of pounds per year.

Cropland Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% 100% 100% 20% N/ A 100% 96% Dairy 100% 100% 100% 10% N/ A 6% 5% Swine 100% 100% 100% N/ A 1% 1% 0% Poultry 4% 4% 4% 10% N/ A 4% 4% Poultry ( wet) 100% 100% 100% N/ A 0% 100% 100% Total 10% 10% 10% 12% 1% 2% 1%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% 100% 100% 100% N/ A 100% 100% Dairy 100% 100% 100% 100% N/ A 100% 93% Swine 100% 100% 100% N/ A 121% 100% 67% Poultry 92% 95% 95% 95% N/ A 95% 95% Poultry ( wet) 100% 100% 100% N/ A 33% 100% 100% Total 96% 98% 98% 97%  98% 92%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle    0% N/ A  0% Dairy    0% N/ A 0% 0% Swine    N/ A 0% 0% 0% Poultry 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet)    N/ A 0%   Total 0% 0% 0% 0% 0% 0% 0% Table A 13. Fecal streptococcus load reductions from Large CAFOs in 1019 colony forming units.

Table A 14. Metals load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A Y. BOD load reductions from Large CAFOs in millions of pounds per year. Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 5% 8% 8% 9% 4% N/ A 8% 8% Dairy 4% 6% 6% 7% 3% N/ A 5% 2% Swine 8% 8% 8% 9% N/ A 0% 6% 0% Poultry 1% 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 33% 33% 33% 35% N/ A 0% 33% 33% Total 7% 8% 8% 8% 1% 0% 7% 5%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 1% 2% 2% 2% 1% N/ A 2% 2% Dairy 3% 4% 5% 5% 2% N/ A 2% 2% Swine 7% 7% 8% 8% N/ A 0% 3% 0% Poultry 1% 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 24% 25% 28% 28% N/ A 0% 28% 28% Total 3% 3% 4% 4% 1% 0% 3% 3%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% 0% N/ A 0% 0% Dairy 1% 1% 1% 1% 0% N/ A 0% 0% Swine 0% 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 10% 10% 10% 10% N/ A 0% 10% 10% Total 1% 1% 1% 1% 0% 0% 1% 1%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 89% 91% 91% 91% 100% N/ A 91% 91% Dairy 96% 98% 98% 98% 100% N/ A 100% 97% Swine 99% 99% 99% 99% N/ A 0% 99% 46% Poultry 91% 0% 0% 0%  N/ A 0% 0% Poultry ( wet) 100% 100% 100% 100% N/ A 0% 100% 100% Total 92% 94% 94% 94% 100% 0% 92% 92%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 87% 90% 90% 90% 100% N/ A 90% 90% Dairy 94% 97% 97% 97% 100% N/ A 99% 91% Swine 99% 99% 99% 99% N/ A 0% 99% 42% Poultry 90% 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 100% 100% 100% 100% N/ A 0% 100% 100% Total 97% 98% 98% 98% 100% 0% 88% 80%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 1% 1% 1% 1% 1% N/ A 1% 1% Dairy 0% 0% 0% 0% 0% N/ A 0% 0% Swine 1% 1% 1% 1% N/ A 0% 1% 0% Poultry 0% 0% 0% 0% 0% N/ A 0% 0% Table A 7. Fecal streptococcus loads from Large CAFOs in 1019 colony forming units.

Table A 8. Metals loads from Large CAFOs in millions of pounds per year. Table A 3. Nitrogen loads from Large CAFOs in millions of pounds per year.

Table A 4. Phosphorous loads from Large CAFOs in millions of pounds per year.

Table A 5. Sediment loads from Large CAFOs in millions of pounds per year.

Table A 6. Fecal coliform loads from Large CAFOs in 1019 colony forming units. Production Area Poultry ( wet) 12% 12% 12% 12% N/ A 0% 12% 12% Total 1% 1% 1% 1% 0% 0% 1% 1%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% 100% 100% 100% 100% N/ A 100% 100% Dairy 100% 100% 100% 100% 100% N/ A 100% 100% Swine 100% 100% 100% 100% N/ A  100% 100% Poultry 100%     N/ A   Poultry ( wet) 100% 100% 100% 100% N/ A  100% 100% Total 100% 100% 100% 100% 100%  100% 100%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 6% N/ A 0% 0% Dairy 0% 0% 0% 8% N/ A 4% 8% Swine 0% 0% 0% N/ A  39% 73% 90% Poultry 7% 6% 6% 6% N/ A 6% 6% Poultry ( wet) 0% 0% 0% N/ A 95% 0% 0% Total 2% 2% 2% 6%  334% 5% 11%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 3% N/ A 0% 0% Dairy 0% 0% 0% 6% N/ A 7% 7% Swine 0% 0% 0% N/ A 21% 23% 31% Poultry 8% 4% 4% 4% N/ A 4% 4% Poultry ( wet) 0% 0% 0% N/ A 66% 0% 0% Total 2% 1% 1% 4% 37% 4% 5%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 2% N/ A 0% 0% Dairy 0% 0% 0% 7% N/ A 8% 7% Swine  0% 0% N/ A 0% 0% 0% Poultry 100% 18% 18% 18% N/ A 18% 18% Poultry ( wet)  0% 0% N/ A 91% 0% 0% Total 2% 2% 2% 4% 43% 3% 2%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 82% N/ A 0% 5% Dairy 0% 0% 0% 94% N/ A 95% 96% Swine 0% 0% 0% N/ A 100% 99% 100% Poultry 97% 97% 97% 91% N/ A 97% 97% Poultry ( wet) 0% 0% 0% N/ A 100% 0% 0% Total 35% 35% 35% 84% 100% 92% 93% Table A 9. Nitrogen load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A 10. Phosphorous load reductions from Large CAFOs in millions of pounds per year.

Table A 11. Sediment load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A 12. Fecal coliform load reductions from Large CAFOs in 1019 colony forming units. Table A X. BOD loads from Large CAFOs in millions of pounds per year.

Production Area Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 80% N/ A 0% 4% Dairy 0% 0% 0% 90% N/ A 94% 95% Swine 0% 0% 0% N/ A 99% 99% 100% Poultry 96% 96% 96% 90% N/ A 96% 96% Poultry ( wet) 0% 0% 0% N/ A 100% 0% 0% Total 90% 90% 90% 88% 99% 98% 99%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% N/ A 0% 7% Swine 0% 0% 0% N/ A  21% 0% 33% Poultry 8% 5% 5% 5% N/ A 5% 5% Poultry ( wet) 0% 0% 0% N/ A 67% 0% 0% Total 4% 2% 2% 3%  2% 8%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle    100% N/ A  100% Dairy    100% N/ A 100% 100% Swine    N/ A 100% 100% 100% Poultry 100% 100% 100% 100% N/ A 100% 100% Poultry ( wet)    N/ A 100%   Total 100% 100% 100% 100% 100% 100% 100% Table A 13. Fecal streptococcus load reductions from Large CAFOs in 1019 colony forming units.

Table A 14. Metals load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A Y. BOD load reductions from Large CAFOs in millions of pounds per year. Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 26% 43% 45% 37% 47% # VALUE! 45% 45% Dairy 46% 64% 65% 61% 67% # VALUE! 66% 68% Swine 45% 45% 45% 38% # VALUE! 37% 46% 49% Poultry 0% 0% 0% 0% 0% # VALUE! 0% 0% Poultry ( wet) 23% 24% 24% 19% # VALUE! 36% 24% 24% Total 23% 29% 29% 24% 24% 37% 30% 30%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 0% 0% 0% 0% N/ A 0% 0% 0% Total 0% 0% 0% 0% 0% 0% 0% 0%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 0% 0% 0% 0% N/ A 0% 0% 0% Total 0% 0% 0% 0% 0% 0% 0% 0%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0%  N/ A 0% 0% Poultry ( wet) 0% 0% 0% 0% N/ A 0% 0% 0% Total 0% 0% 0% 0% 0% 0% 0% 0%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 0% 0% 0% 0% N/ A 0% 0% 0% Total 0% 0% 0% 0% 0% 0% 0% 0%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 0% 0% 0% 0% N/ A 0% 0% 0% Table A 7. Fecal streptococcus loads from Large CAFOs in 1019 colony forming units.

Table A 8. Metals loads from Large CAFOs in millions of pounds per year. Table A 3. Nitrogen loads from Large CAFOs in millions of pounds per year.

Table A 4. Phosphorous loads from Large CAFOs in millions of pounds per year.

Table A 5. Sediment loads from Large CAFOs in millions of pounds per year.

Table A 6. Fecal coliform loads from Large CAFOs in 1019 colony forming units. Lagoon Seepage Total 0% 0% 0% 0% 0% 0% 0% 0%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% 0% N/ A  0% 0% Poultry 0%     N/ A   Poultry ( wet) 0% 0% 0% 0% N/ A  0% 0% Total 0% 0% 0% 0% 0%  0% 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 14% 0% N/ A 0% 0% Dairy 0% 0% 21% 0% N/ A 0% 0% Swine 0% 0% 93% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 0% 0% 74% N/ A 0% 0% 0% Total 0% 0% 21% 0% 0% 0% 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 0% 0% 0% N/ A 0% 0% 0% Total 0% 0% 0% 0% 0% 0% 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% N/ A 0% 0% Swine  0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet)  0% 0% N/ A 0% 0% 0% Total 0% 0% 0% 0% 0% 0% 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 0% 0% 0% N/ A 0% 0% 0% Total 0% 0% 0% 0% 0% 0% 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Table A 13. Fecal streptococcus load reductions from Large CAFOs in 1019 colony forming units. Table A 9. Nitrogen load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A 10. Phosphorous load reductions from Large CAFOs in millions of pounds per year.

Table A 11. Sediment load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A 12. Fecal coliform load reductions from Large CAFOs in 1019 colony forming units. Table A X. BOD loads from Large CAFOs in millions of pounds per year.

Lagoon Seepage Cattle 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 0% 0% 0% N/ A 0% 0% 0% Total 0% 0% 0% 0% 0% 0% 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% 0% 0% 0% N/ A 0% 0% Dairy 0% 0% 0% 0% N/ A 0% 0% Swine 0% 0% 0% N/ A 0% 0% 0% Poultry 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet) 0% 0% 0% N/ A 0% 0% 0% Total 0% 0% 0% 0%  0% 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle    0% N/ A  0% Dairy    0% N/ A 0% 0% Swine    N/ A 0% 0% 0% Poultry 0% 0% 0% 0% N/ A 0% 0% Poultry ( wet)    N/ A 0%   Total 0% 0% 0% 0% 0% 0% 0% Table A 14. Metals load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A Y. BOD load reductions from Large CAFOs in millions of pounds per year. Percent contribution by cropland/ production area/ lagoon seepage.

For example, 82% / 12% / 6% would mean 82% of the load came from cropland, 12% from production area, and 6% from lagoon seepage.

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 70% / 5% / 26% 49% / 8% / 43% 47% / 8% / 45% 54% / 9% / 37% 49% / 4% / 47% N/ A 47% / 8% / 45% 47% / 8% / 45%

Dairy 50% / 4% / 46% 30% / 6% / 64% 29% / 6% / 65% 33% / 7% / 61% 30% / 3% / 67% N/ A 29% / 5% / 66% 30% / 2% / 68%

Swine 47% / 8% / 45% 47% / 8% / 45% 47% / 8% / 45% 53% / 9% / 38% N/ A 63% / 0% / 37% 48% / 6% / 46% 51% / 0% / 49%

Poultry 99% / 1% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Poultry ( wet) 44% / 33% / 23% 43% / 33% / 24% 43% / 33% / 24% 45% / 35% / 19% N/ A 64% / 0% / 36% 43% / 33% / 24% 43% / 33% / 24%

Total 70% / 7% / 23% 63% / 8% / 29% 63% / 8% / 29% 68% / 8% / 24% 75% / 1% / 24% 63% / 0% / 37% 63% / 7% / 30% 65% / 5% / 30%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 99% / 1% / 0% 98% / 2% / 0% 98% / 2% / 0% 98% / 2% / 0% 99% / 1% / 0% N/ A 98% / 2% / 0% 98% / 2% / 0%

Dairy 97% / 3% / 0% 96% / 4% / 0% 95% / 5% / 0% 95% / 5% / 0% 98% / 2% / 0% N/ A 98% / 2% / 0% 98% / 2% / 0%

Swine 93% / 7% / 0% 93% / 7% / 0% 92% / 8% / 0% 92% / 8% / 0% N/ A 100% / 0% / 0% 97% / 3% / 0% 100% / 0% / 0%

Poultry 99% / 1% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Poultry ( wet) 76% / 24% / 0% 75% / 25% / 0% 72% / 28% / 0% 72% / 28% / 0% N/ A 100% / 0% / 0% 72% / 28% / 0% 72% / 28% / 0%

Total 97% / 3% / 0% 97% / 3% / 0% 96% / 4% / 0% 96% / 4% / 0% 99% / 1% / 0% 100% / 0% / 0% 97% / 3% / 0% 97% / 3% / 0%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Dairy 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Swine 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0%

Poultry 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Poultry ( wet) 90% / 10% / 0% 90% / 10% / 0% 90% / 10% / 0% 90% / 10% / 0% N/ A 100% / 0% / 0% 90% / 10% / 0% 90% / 10% / 0%

Total 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% 100% / 0% / 0% 100% / 0% / 0% 99% / 1% / 0% 99% / 1% / 0%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 11% / 89% / 0% 9% / 91% / 0% 9% / 91% / 0% 9% / 91% / 0% 0% / 100% / 0% N/ A 9% / 91% / 0% 9% / 91% / 0%

Dairy 4% / 96% / 0% 2% / 98% / 0% 2% / 98% / 0% 2% / 98% / 0% 0% / 100% / 0% N/ A 0% / 100% / 0% 3% / 97% / 0%

Swine 1% / 99% / 0% 1% / 99% / 0% 1% / 99% / 0% 1% / 99% / 0% N/ A 100% / 0% / 0% 1% / 99% / 0% 54% / 46% / 0%

Poultry 9% / 91% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0%   N/ A 100% / 0% / 0% 100% / 0% / 0%

Poultry ( wet) 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% N/ A 100% / 0% / 0% 0% / 100% / 0% 0% / 100% / 0%

Total 8% / 92% / 0% 6% / 94% / 0% 6% / 94% / 0% 6% / 94% / 0% 0% / 100% / 0% 100% / 0% / 0% 8% / 92% / 0% 8% / 92% / 0%

Table A 3. Nitrogen loads from Large CAFOs in millions of pounds per year.

Table A 4. Phosphorous loads from Large CAFOs in millions of pounds per year.

Table A 5. Sediment loads from Large CAFOs in millions of pounds per year.

Table A 6. Fecal coliform loads from Large CAFOs in 1019 colony forming units.

Highlighted cells show an increase in loads from baseline. Percent contribution by cropland/ production area/ lagoon seepage.

For example, 82% / 12% / 6% would mean 82% of the load came from cropland, 12% from production area, and 6% from lagoon seepage.

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 13% / 87% / 0% 10% / 90% / 0% 10% / 90% / 0% 10% / 90% / 0% 0% / 100% / 0% N/ A 10% / 90% / 0% 10% / 90% / 0%

Dairy 6% / 94% / 0% 3% / 97% / 0% 3% / 97% / 0% 3% / 97% / 0% 0% / 100% / 0% N/ A 1% / 99% / 0% 9% / 91% / 0%

Swine 1% / 99% / 0% 1% / 99% / 0% 1% / 99% / 0% 1% / 99% / 0% N/ A 100% / 0% / 0% 1% / 99% / 0% 58% / 42% / 0%

Poultry 10% / 90% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Poultry ( wet) 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% N/ A 100% / 0% / 0% 0% / 100% / 0% 0% / 100% / 0%

Total 3% / 97% / 0% 2% / 98% / 0% 2% / 98% / 0% 2% / 98% / 0% 0% / 100% / 0% 100% / 0% / 0% 12% / 88% / 0% 20% / 80% / 0%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% N/ A 99% / 1% / 0% 99% / 1% / 0%

Dairy 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Swine 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% N/ A 100% / 0% / 0% 99% / 1% / 0% 100% / 0% / 0%

Poultry 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Poultry ( wet) 88% / 12% / 0% 88% / 12% / 0% 88% / 12% / 0% 88% / 12% / 0% N/ A 100% / 0% / 0% 88% / 12% / 0% 88% / 12% / 0%

Total 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% 99% / 1% / 0% 100% / 0% / 0% 100% / 0% / 0% 99% / 1% / 0% 99% / 1% / 0%

Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% N/ A 0% / 100% / 0% 0% / 100% / 0%

Dairy 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% N/ A 0% / 100% / 0% 0% / 100% / 0%

Swine 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% N/ A   0% / 100% / 0% 0% / 100% / 0%

Poultry 0% / 100% / 0%         N/ A

Poultry ( wet) 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% N/ A   0% / 100% / 0% 0% / 100% / 0%

Total 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0%   0% / 100% / 0% 0% / 100% / 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% / 0% / 0% 100% / 0% / 0% 86% / 0% / 14% 94% / 6% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Dairy 100% / 0% / 0% 100% / 0% / 0% 79% / 0% / 21% 92% / 8% / 0% N/ A 96% / 4% / 0% 92% / 8% / 0%

Swine 100% / 0% / 0% 100% / 0% / 0% 7% / 0% / 93% N/ A 139% /  39% / 0% 27% / 73% / 0% 10% / 90% / 0%

Poultry 93% / 7% / 0% 94% / 6% / 0% 94% / 6% / 0% 94% / 6% / 0% N/ A 94% / 6% / 0% 94% / 6% / 0%

Poultry ( wet) 100% / 0% / 0% 100% / 0% / 0% 26% / 0% / 74% N/ A 5% / 95% / 0% 100% / 0% / 0% 100% / 0% / 0%

Total 98% / 2% / 0% 98% / 2% / 0% 77% / 2% / 21% 94% / 6% / 0% 434% /  334% / 0% 95% / 5% / 0% 89% / 11% / 0%

Table A 7. Fecal streptococcus loads from Large CAFOs in 1019 colony forming units.

Table A 8. Metals loads from Large CAFOs in millions of pounds per year.

Table A X. BOD loads from Large CAFOs in millions of pounds per year.

Table A 9. Nitrogen load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Highlighted cells show an increase in loads from baseline. Percent contribution by cropland/ production area/ lagoon seepage.

For example, 82% / 12% / 6% would mean 82% of the load came from cropland, 12% from production area, and 6% from lagoon seepage.

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 97% / 3% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Dairy 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 94% / 6% / 0% N/ A 93% / 7% / 0% 93% / 7% / 0%

Swine 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 79% / 21% / 0% 77% / 23% / 0% 69% / 31% / 0%

Poultry 92% / 8% / 0% 96% / 4% / 0% 96% / 4% / 0% 96% / 4% / 0% N/ A 96% / 4% / 0% 96% / 4% / 0%

Poultry ( wet) 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 34% / 66% / 0% 100% / 0% / 0% 100% / 0% / 0%

Total 98% / 2% / 0% 99% / 1% / 0% 99% / 1% / 0% 96% / 4% / 0% 63% / 37% / 0% 96% / 4% / 0% 95% / 5% / 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 98% / 2% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Dairy 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 93% / 7% / 0% N/ A 92% / 8% / 0% 93% / 7% / 0%

Swine   100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0%

Poultry 0% / 100% / 0% 82% / 18% / 0% 82% / 18% / 0% 82% / 18% / 0% N/ A 82% / 18% / 0% 82% / 18% / 0%

Poultry ( wet)   100% / 0% / 0% 100% / 0% / 0% N/ A 9% / 91% / 0% 100% / 0% / 0% 100% / 0% / 0%

Total 98% / 2% / 0% 98% / 2% / 0% 98% / 2% / 0% 96% / 4% / 0% 57% / 43% / 0% 97% / 3% / 0% 98% / 2% / 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 18% / 82% / 0% N/ A 100% / 0% / 0% 95% / 5% / 0%

Dairy 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 6% / 94% / 0% N/ A 5% / 95% / 0% 4% / 96% / 0%

Swine 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 0% / 100% / 0% 1% / 99% / 0% 0% / 100% / 0%

Poultry 3% / 97% / 0% 3% / 97% / 0% 3% / 97% / 0% 9% / 91% / 0% N/ A 3% / 97% / 0% 3% / 97% / 0%

Poultry ( wet) 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 0% / 100% / 0% 100% / 0% / 0% 100% / 0% / 0%

Total 65% / 35% / 0% 65% / 35% / 0% 65% / 35% / 0% 16% / 84% / 0% 0% / 100% / 0% 8% / 92% / 0% 7% / 93% / 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 20% / 80% / 0% N/ A 100% / 0% / 0% 96% / 4% / 0%

Dairy 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 10% / 90% / 0% N/ A 6% / 94% / 0% 5% / 95% / 0%

Swine 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 1% / 99% / 0% 1% / 99% / 0% 0% / 100% / 0%

Poultry 4% / 96% / 0% 4% / 96% / 0% 4% / 96% / 0% 10% / 90% / 0% N/ A 4% / 96% / 0% 4% / 96% / 0%

Poultry ( wet) 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 0% / 100% / 0% 100% / 0% / 0% 100% / 0% / 0%

Total 10% / 90% / 0% 10% / 90% / 0% 10% / 90% / 0% 12% / 88% / 0% 1% / 99% / 0% 2% / 98% / 0% 1% / 99% / 0%

Table A 13. Fecal streptococcus load reductions from Large CAFOs in 1019 colony forming units.

Table A 10. Phosphorous load reductions from Large CAFOs in millions of pounds per year.

Table A 11. Sediment load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A 12. Fecal coliform load reductions from Large CAFOs in 1019 colony forming units.

Highlighted cells show an increase in loads from baseline. Percent contribution by cropland/ production area/ lagoon seepage.

For example, 82% / 12% / 6% would mean 82% of the load came from cropland, 12% from production area, and 6% from lagoon seepage.

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 100% / 0% / 0%

Dairy 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 100% / 0% / 0% 93% / 7% / 0%

Swine 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% # VALUE! 121% /  21% / 0% 100% / 0% / 0% 67% / 33% / 0%

Poultry 92% / 8% / 0% 95% / 5% / 0% 95% / 5% / 0% 95% / 5% / 0% N/ A 95% / 5% / 0% 95% / 5% / 0%

Poultry ( wet) 100% / 0% / 0% 100% / 0% / 0% 100% / 0% / 0% N/ A 33% / 67% / 0% 100% / 0% / 0% 100% / 0% / 0%

Total 96% / 4% / 0% 98% / 2% / 0% 98% / 2% / 0% 97% / 3% / 0%   98% / 2% / 0% 92% / 8% / 0%

Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle       0% / 100% / 0% N/ A   0% / 100% / 0%

Dairy       0% / 100% / 0% N/ A 0% / 100% / 0% 0% / 100% / 0%

Swine       N/ A 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0%

Poultry 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% N/ A 0% / 100% / 0% 0% / 100% / 0%

Poultry ( wet)       N/ A 0% / 100% / 0%

Total 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0% 0% / 100% / 0%

Table A 14. Metals load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A Y. BOD load reductions from Large CAFOs in millions of pounds per year.

Highlighted cells show an increase in loads from baseline. Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 91 54 52 46 50 # VALUE! 52 52 Dairy 40 29 28 25 27 # VALUE! 28 27 Swine 80 80 79 70 # VALUE! 96 77 73 Poultry 124 101 100 100 100 # VALUE! 100 100 Poultry ( wet) 32 31 31 30 # VALUE! 21 31 31 Total 367 295 290 270 176 117 288 283 Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 80 68 62 62 62 # VALUE! 62 62 Dairy 14 12 11 11 10 # VALUE! 10 10 Swine 20 20 17 17 # VALUE! 14 16 16 Poultry 52 46 39 39 39 # VALUE! 39 39 Poultry ( wet) 9 9 8 8# VALUE! 6 8 8 Total 176 155 138 138 111 20 136 136 Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 11339 10138 10138 10138 10113 # VALUE! 10138 10138 Dairy 1856 1757 1757 1757 1749 # VALUE! 1748 1749 Swine 2937 2937 2824 2824 # VALUE! 2823 2824 2823 Poultry 10996 10965 10824 10824 10824 # VALUE! 10824 10824 Poultry ( wet) 885 885 877 877 # VALUE! 787 877 877 Total 28013 26682 26419 26419 22686 3611 26410 26411 Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 422 412 411 411 162 # VALUE! 411 411 Dairy 54 53 53 53 22 # VALUE! 19 30 Swine 139 138 138 138 # VALUE! 1 1 2 Poultry 7 0 0 0 0# VALUE! 0 0 Poultry ( wet) 57 56 56 56 # VALUE! 0 56 56 Total 678 659 659 659 184 1 489 500 Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 193 187 187 187 72 # VALUE! 187 187 Dairy 212 206 206 206 86 # VALUE! 10 72 Swine 4095 4082 4081 4081 # VALUE! 35 41 75 Poultry 450 26 26 26 0 # VALUE! 26 26 Poultry ( wet) 121 121 121 121 # VALUE! 0 121 121 Total 5070 4621 4620 4620 158 35 385 480 Table A 7. Fecal streptococcus loads from Large CAFOs in 1019 colony forming units. Table A 3. Nitrogen loads from Large CAFOs in millions of pounds per year.

Table A 4. Phosphorous loads from Large CAFOs in millions of pounds per year.

Table A 5. Sediment loads from Large CAFOs in millions of pounds per year.

Table A 6. Fecal coliform loads from Large CAFOs in 1019 colony forming units. Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 3 3 3 3 3# VALUE! 3 3 Dairy 2 2 2 2 2# VALUE! 2 2 Swine 3 3 3 3# VALUE! 4 3 3 Poultry 10 10 9 9 9# VALUE! 9 9 Poultry ( wet) 1 1 1 1# VALUE! 1 1 1 Total 20 19 19 19 14 5 19 19 Sector Baseline Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 7 7 7 7 4# VALUE! 7 7 Dairy 3 3 3 3 2# VALUE! 1 1 Swine 7 7 7 7# VALUE! 0 1 0 Poultry 6 0 0 0 0# VALUE! 0 0 Poultry ( wet) 13 13 13 13 # VALUE! 0 13 13 Total 37 31 31 31 6 0 22 22 Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 37 39 45 41 # VALUE! 39 39 Dairy 11 12 15 13 # VALUE! 12 13 Swine 0 1 10 # VALUE! ( 16) 3 7 Poultry 24 25 25 25 # VALUE! 25 25 Poultry ( wet) 1 1 2# VALUE! 11 1 1 Total 73 77 98 79 ( 5) 79 84 Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 12 18 18 18 # VALUE! 18 18 Dairy 2 4 4 4# VALUE! 4 4 Swine 0 3 3# VALUE! 6 4 4 Poultry 6 13 13 13 # VALUE! 13 13 Poultry ( wet) 0 1 1# VALUE! 3 1 1 Total 21 38 38 35 10 39 40 Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 1201 1201 1201 1226 # VALUE! 1201 1201 Dairy 99 99 99 107 # VALUE! 108 107 Swine 0 113 113 # VALUE! 113 113 113 Table A 9. Nitrogen load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A 10. Phosphorous load reductions from Large CAFOs in millions of pounds per year.

Table A 11. Sediment load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values. Table A 8. Metals loads from Large CAFOs in millions of pounds per year.

Table A X. BOD loads from Large CAFOs in millions of pounds per year. Poultry 31 172 172 172 # VALUE! 172 172 Poultry ( wet) 0 8 8# VALUE! 98 8 8 Total 1331 1594 1594 1505 211 1603 1602 Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 11 11 11 260 # VALUE! 11 11 Dairy 1 1 1 31 # VALUE! 34 24 Swine 0 0 0 # VALUE! 138 137 136 Poultry 7 7 7 7# VALUE! 7 7 Poultry ( wet) 0 0 0# VALUE! 56 0 0 Total 19 19 19 299 194 189 178 Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 6 6 6 120 # VALUE! 6 6 Dairy 7 6 6 126 # VALUE! 202 140 Swine 14 14 14 # VALUE! 4060 4054 4021 Poultry 424 424 424 449 # VALUE! 424 424 Poultry ( wet) 0 0 0# VALUE! 120 0 0 Total 450 450 450 696 4181 4686 4591 Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0 0 0 0# VALUE! 0 0 Dairy 0 0 0 0# VALUE! 0 0 Swine 0 0 0 # VALUE! ( 0.240) 0 0 Poultry 0 0 0 0# VALUE! 0 0 Poultry ( wet) 0 0 0# VALUE! 0.240 0 0 Total 1 1 1 1 0 1 1 Sector Option 1 Option 2 Option 3 Option 5a Option 5 Option 6 Option 7 Cattle 0 0 0 3# VALUE! 0 0 Dairy 0 0 0 1# VALUE! 2 2 Swine 0 0 0# VALUE! 7 6 7 Poultry 6 6 6 6# VALUE! 6 6 Poultry ( wet) 0 0 0# VALUE! 13 0 0 Total 6 6 6 10 21 14 15 Table A 13. Fecal streptococcus load reductions from Large CAFOs in 1019 colony forming units.

Table A 14. Metals load reductions from Large CAFOs in millions of pounds per year. Numbers in ( ) indicate negative values.

Table A Y. BOD load reductions from Large CAFOs in millions of pounds per year. Table A 12. Fecal coliform load reductions from Large CAFOs in 1019 colony forming units.


[Federal Register Volume 79, Number 85 (Friday, May 2, 2014)]
[Rules and Regulations]
[Page 25031]
[FR Doc No: 2014-10109]

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ENVIRONMENTAL PROTECTION AGENCY

40 CFR Part 300

[EPA-HQ-SFUND-1983-0002; FRL-9910-41-OSWER]

National Oil and Hazardous Substances Pollution Contingency Plan;
National Priorities List

AGENCY: Environmental Protection Agency (EPA).

ACTION: Withdrawal of Direct Final Rule.

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SUMMARY: On March 12, 2014, EPA published a Notice of Intent to Delete
(79 FR 13967) and a direct final Notice of Deletion (79 FR 13882) for
the O'Connor Superfund Site from the National Priorities List. The EPA
is withdrawing the Final Notice of Deletion due to adverse comments
that were received during the public comment period. After
consideration of the comments received, if appropriate, EPA will
publish a Notice of Deletion in the Federal Register based on the
parallel Notice of Intent to Delete and place a copy of the final
deletion package, including a Responsiveness Summary, if prepared, in
the Site repositories.

DATES: This withdrawal of the direct final action published March 12,
2014 (79 FR 13882) is effective as of May 2, 2014.

ADDRESSES: Information Repositories: Comprehensive information on the
Site, as well as the comments that we received during the comment
period, are available in docket [EPA-HQ-SFUND-1983-0002; FRL-9907-65-
Region 1], accessed through the http://www.regulations.gov Web site.
Although listed in the docket index, some information is not publicly
available, e.g., CBI or other information whose disclosure is
restricted by statue. Certain other material, such as copyrighted
material, will be publicly available only in hard copy. Publicly
available docket materials are available either electronically in
http://www.regulations.gov or in hard copy at:

U.S. EPA Region 1, 5 Post Office Square, Suite 100, Boston, MA 02109-
3912, Monday-Friday 8:00 a.m.-5:00 p.m.
Lithgow Public Library, 45 Winthrop Street, Augusta, Maine 04330, Mon-
Thurs 9:00 a.m.-8 p.m., Friday 9:00 a.m.-5 p.m., and Saturday 9:00
a.m.-12:00 p.m.

FOR FURTHER INFORMATION CONTACT: Terrence Connelly, Remedial Project
Manager, U.S. Environmental Protection Agency, Region 1, Mailcode
OSRR07-1, 5 Post Office Square, Boston, MA 02109-3912,<PHONE_NUMBER>,
email<EMAIL_ADDRESS>
SUPPLEMENTARY INFORMATION:

List of Subjects in 40 CFR Part 300

    Environmental protection, Air pollution control, Chemicals,
Hazardous waste, Hazardous substances, Intergovernmental relations,
Penalties, Reporting and recordkeeping requirements, Superfund, Water
pollution control, Water supply.

    Authority:  33 U.S.C. 1321(c)(2); 42 U.S.C. 9601-9657; E.O.
12777, 56 FR 54757, 3 CFR, 1991 Comp., p. 351; E.O. 12580, 52 FR
2923; 3 CFR, 1987 Comp., p. 193.

    Dated: April 24, 2014.
H. Curtis Spalding,
Regional Administrator Region 1.

    Accordingly, the amendment to Table 1 of Appendix B to Part 300 to
remove the entry ``ME'', ``O'Connor Superfund Site'', ``Augusta/
Kennebec County'' is withdrawn as of May 2, 2014.

[FR Doc. 2014-10109 Filed 5-1-14; 8:45 am]
BILLING CODE 6560-50-P


January 30, 2004 Mr. Marco Gonzalez Secretariat for the Montreal Protocol P. O. Box 30552, Nairobi, Kenya Dr. H. J. Banks 10 Beltana Road Pialligo, ACT 2609 Australia Dr. Nahum Marban Mendoza Autonomic University of Chapingo PO Box 56230 Chapingo, Mexico Dear Mr. Gonzalez, Dr. Banks, and Dr. Mendoza:

The United States submits the attached document in response to the recent questions from the Methyl Bromide Technical Options Committee ( MBTOC) with respect to the U. S. Critical Use Exemption ( CUE) nomination in 2005. We are submitting this information electronically, but would be pleased to provide a hard copy upon request.

The United States has sought to address all of the factors in Decision IX/ 6. We believe that we have provided all of the information requested by MBTOC, but we recognize that an immediate answer to a follow up question can sometimes clear up an issue in a short time. Given the importance that both MBTOC and the Parties place on ensuring that recommendations are made in a timely manner on the basis of full and correct information, I urge MBTOC to contact us should it have questions regarding the attachment. If any such additional information is needed, please contact John Thompson at the U. S. Department of State ( ThompsonJE2@ state. gov or 202 647 9799).

Finally, I would note that in our original February 2003 CUE nomination we indicated that we expected existing stocks of methyl bromide to be depleted prior to 2005. We still believe that any stockpiles held by the applicants requesting critical use exemptions for 2005 are likely to be fully depleted by the start of 2005. At the same time, however, it is important to recognize, that like other nominating parties, it is difficult for the United States at this time to determine the size of stockpiles that could be held by producers or distributors at the beginning of 2005. That is because the potential disposition of such stockpiles is outside of the control of both the nominating governments and CUE applicants, in that they could continue to be held as stockpiles or be exported for allowable uses other countries. Thank you very much for your consideration of this supplemental information on the U. S. CUE nomination. We look forward to continuing to work with you on our nomination should additional information be needed.

Sincerely,

Michael Glover Acting Deputy Assistant Secretary for Environment United States Department of State Attachment: US Response to MBTOC Questions: January 2004


[Federal Register Volume 79, Number 63 (Wednesday, April 2, 2014)]
[Notices]
[Pages 18565-18566]
[FR Doc No: 2014-07331]

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DEPARTMENT OF HEALTH AND HUMAN SERVICES

Food and Drug Administration

[Docket No. FDA-2012-E-0164]

Determination of Regulatory Review Period for Purposes of Patent
Extension; FIRAZYR

AGENCY: Food and Drug Administration, HHS.

ACTION: Notice.

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SUMMARY: The Food and Drug Administration (FDA) has determined the
regulatory review period for FIRAZYR and is publishing this notice of
that determination as required by law. FDA has made the determination
because of the submission of an application to the Director of Patents
and Trademarks, Department of Commerce, for the extension of a patent
which claims that human drug product.

ADDRESSES: Submit electronic comments to http://www.regulations.gov.
Submit written petitions (two copies are required) and written comments
to the Division of Dockets Management (HFA-305), Food and Drug
Administration, 5630 Fishers Lane, rm. 1061, Rockville, MD 20852.
Submit petitions electronically to

http://www.regulations.govat Docket No. FDA-2013-S-0610.

FOR FURTHER INFORMATION CONTACT: Beverly Friedman, Office of
Management, Center for Drug Evaluation and Research, Food and Drug
Administration, 10903 New Hampshire Ave. Bldg. 51, Rm. 6284, Silver
Spring, MD 20993-0002,<PHONE_NUMBER>.

SUPPLEMENTARY INFORMATION: The Drug Price Competition and Patent Term
Restoration Act of 1984 (Pub. L. 98-417) and the Generic Animal Drug
and Patent Term Restoration Act (Pub. L. 100-670) generally provide
that a patent may be extended for a period of up to 5 years so long as
the patented item (human drug product, animal drug product, medical
device, food additive, or color additive) was subject to regulatory
review by FDA before the item was marketed. Under these acts, a
product's regulatory review period forms the basis for determining the
amount of extension an applicant may receive.
    A regulatory review period consists of two periods of time: A
testing phase and an approval phase. For human drug products, the
testing phase begins when the exemption to permit the clinical
investigations of the drug becomes effective and runs until the
approval phase begins. The approval phase starts with the initial
submission of an application to market the human drug product and
continues until FDA grants permission to market the drug product.
Although only a portion of a regulatory review period may count toward
the actual amount of extension that the Director of Patents and
Trademarks may award (for example, half the testing phase must be
subtracted as well as any time that may have occurred before the patent
was issued), FDA's determination of the length of a regulatory review
period for a human drug product will include all of the testing phase
and approval phase as specified in 35 U.S.C. 156(g)(1)(B).
    FDA recently approved for marketing the human drug product FIRAZYR
(icatibant acetate). FIRAZYR is indicated for treatment of acute
attacks of hereditary angioedema in adults 18 years of age and older.
Subsequent to this approval, the U.S. Patent and Trademark Office
received a patent term restoration application for FIRAZYR (U.S. Patent
No. 5,648,333) from Sanofi-Aventis Deutschland GmbH, and the Patent and
Trademark Office requested FDA's assistance in determining this
patent's eligibility for patent term restoration. In a letter dated
July 10, 2012, FDA advised the Patent and Trademark Office that this
human drug product had undergone a regulatory review period and that
the approval of FIRAZYR represented the first permitted commercial
marketing or use of the product. Thereafter, the Patent and Trademark
Office requested that FDA determine the product's regulatory review
period.
    FDA has determined that the applicable regulatory review period for
FIRAZYR is 2,663 days. Of this time, 1,263 days occurred during the
testing phase of the regulatory review period, while 1,400 days
occurred during the approval phase. These periods of time were derived
from the following dates:
    1. The date an exemption under section 505(i) of the Federal Food,
Drug, and Cosmetic Act (the FD&C Act) (21 U.S.C. 355(i)) became
effective: May 12, 2004. FDA has verified the applicant's claim that
the date the investigational new drug application became effective was
on May 12, 2004.
    2. The date the application was initially submitted with respect to
the human drug product under section 505(b) of the FD&C Act: October
26, 2007. FDA has verified the applicant's claim that the new drug
application (NDA) for FIRAZYR (NDA 22-150) was submitted on October 26,
2007.
    3. The date the application was approved: August 25, 2011. FDA has
verified the applicant's claim that NDA 22-150 was approved on August
25, 2011.
    This determination of the regulatory review period establishes the
maximum potential length of a patent extension. However, the Patent and
Trademark Office applies several statutory limitations in its
calculations of the actual period for patent extension. In its
application for patent extension, this applicant seeks 5 years of
patent term extension.
    Anyone with knowledge that any of the dates as published are
incorrect may submit to the Division of Dockets Management (see
ADDRESSES) either electronic or written comments and ask for a
redetermination by June 2, 2014. Furthermore, any interested person may
petition FDA for a determination regarding whether the applicant for
extension acted with due diligence during the regulatory review period
by September 29, 2014. To meet its burden, the petition must contain
sufficient facts to merit an FDA investigation. (See H. Rept. 857, part
1, 98th Cong., 2d sess., pp. 41-42, 1984.) Petitions should be in the
format specified in 21 CFR 10.30.
    Interested persons may submit to the Division of Dockets Management
(see ADDRESSES) electronic or written comments and written or
electronic petitions. It is only necessary to send one set of comments.
Identify comments with the docket number found in brackets in the
heading of this document. If you submit a written petition, two copies
are required. A petition submitted electronically must be submitted to
http://www.regulations.gov, Docket No. FDA-2013-S-0610. Comments and
petitions that have not been made publicly available on http://www.regulations.gov may be viewed in the Division of Dockets Management
between 9 a.m. and 4 p.m., Monday through Friday.

    Dated: March 27, 2014.
Leslie Kux,
Assistant Commissioner for Policy.
[FR Doc. 2014-07331 Filed 4-1-14; 8:45 am]
BILLING CODE 4160-01-P


[Federal Register Volume 78, Number 155 (Monday, August 12, 2013)]
[Notices]
[Pages 48885-48886]
[FR Doc No: 2013-19440]

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DEPARTMENT OF HOMELAND SECURITY

Federal Emergency Management Agency

[Docket ID FEMA-2013-0002; Internal Agency Docket No. FEMA-B-1341]

Changes in Flood Hazard Determinations

AGENCY: Federal Emergency Management Agency, DHS.

ACTION: Notice.

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SUMMARY: This notice lists communities where the addition or
modification of Base Flood Elevations (BFEs), base flood depths,
Special Flood Hazard Area (SFHA) boundaries or zone designations, or
the regulatory floodway (hereinafter referred to as flood hazard
determinations), as shown on the Flood Insurance Rate Maps (FIRMs), and
where applicable, in the supporting Flood Insurance Study (FIS)
reports, prepared by the Federal Emergency Management Agency (FEMA) for
each community, is appropriate because of new scientific or technical
data. The FIRM, and where applicable, portions of the FIS report, have
been revised to reflect these flood hazard determinations through
issuance of a Letter of Map Revision (LOMR), in accordance with Title
44, Part 65 of the Code of Federal Regulations (44 CFR Part 65). The
LOMR will be used by insurance agents and others to calculate
appropriate flood insurance premium rates for new buildings and the
contents of those buildings. For rating purposes, the currently
effective community number is shown in the table below and must be used
for all new policies and renewals.

DATES: These flood hazard determinations will become effective on the
dates listed in the table below and revise the FIRM panels and FIS
report in effect prior to this determination for the listed
communities.
    From the date of the second publication of notification of these
changes in a newspaper of local circulation, any person has ninety (90)
days in which to request through the community that the Deputy
Associate Administrator for Mitigation reconsider the changes. The
flood hazard determination information may be changed during the 90-day
period.

ADDRESSES: The affected communities are listed in the table below.
Revised flood hazard information for each community is available for
inspection at both the online location and the respective community map
repository address listed in the table below. Additionally, the current
effective FIRM and FIS report for each community are accessible online
through the FEMA Map Service Center at www.msc.fema.gov for comparison.
    Submit comments and/or appeals to the Chief Executive Officer of
the community as listed in the table below.

FOR FURTHER INFORMATION CONTACT: Luis Rodriguez, Chief, Engineering
Management Branch, Federal Insurance and Mitigation Administration,
FEMA, 500 C Street SW., Washington, DC 20472,<PHONE_NUMBER>, or
(email<EMAIL_ADDRESS>or visit the FEMA Map Information
eXchange (FMIX) online at www.floodmaps.fema.gov/fhm/fmx_main.html.

SUPPLEMENTARY INFORMATION: The specific flood hazard determinations are
not described for each community in this notice. However, the online
location and local community map repository address where the flood
hazard determination information is available for inspection is
provided.
    Any request for reconsideration of flood hazard determinations must
be submitted to the Chief Executive Officer of the community as listed
in the table below.
    The modifications are made pursuant to section 201 of the Flood
Disaster Protection Act of 1973, 42 U.S.C. 4105, and are in accordance
with the National Flood Insurance Act of 1968, 42 U.S.C. 4001 et seq.,
and with 44 CFR Part 65.
    The FIRM and FIS report are the basis of the floodplain management
measures that the community is required either to adopt or to show
evidence of having in effect in order to qualify or remain qualified
for participation in the National Flood Insurance Program (NFIP).
    These flood hazard determinations, together with the floodplain
management criteria required by 44 CFR 60.3, are the minimum that are
required. They should not be construed to mean that the community must
change any existing ordinances that are more stringent in their
floodplain management requirements. The community may at any time enact
stricter requirements of its own or pursuant to policies established by
other Federal, State, or regional entities. The flood hazard
determinations are in accordance with 44 CFR 65.4.
    The affected communities are listed in the following table. Flood
hazard determination information for each community is available for
inspection at both the online location and the respective community map
repository address listed in the table below. Additionally, the current
effective FIRM and FIS report for each community are accessible online
through the FEMA Map Service Center at www.msc.fema.gov for comparison.

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                                                         Chief executive                         Online location of
        State and county           Location and case       officer of         Community map        letter of  map       Effective date of     Community
                                          No.               community          repository             revision             modification          No.
--------------------------------------------------------------------------------------------------------------------------------------------------------
Pennsylvania: Montgomery........  Township of          The Honorable       Whitpain Township   http://www.rampp-      August 12, 2013......       420713
                                   Whitpain (12-03-     Joseph J. Palmer,   Building, 960       team.com/lomrs.htm.
                                   1849P).              Chairman,           Wentz Road, Blue
                                                        Township of         Bell, PA 19422.
                                                        Whitpain Board of
                                                        Supervisors, 960
                                                        Wentz Road, Blue
                                                        Bell, PA 19422.
Texas:

    Bell........................  City of Killeen (13- The Honorable       City Hall, 101      http://www.rampp-      September 9, 2013....       480031
                                   06-0268P).           Daniel A. Corbin,   North College       team.com/lomrs.htm.
                                                        Mayor, City of      Street, Killeen,
                                                        Killeen, P.O. Box   TX 76541.
                                                        1329, Killeen, TX
                                                        76540.
    Bell........................  City of Killeen (13- The Honorable       City Hall, 101      http://www.rampp-      October 7, 2013......       480031
                                   06-2244P).           Daniel A. Corbin,   North College       team.com/lomrs.htm.
                                                        Mayor, City of      Street, Killeen,
                                                        Killeen, P.O. Box   TX 75641.
                                                        1329, Killeen, TX
                                                        76540.
    Bexar.......................  City of San Antonio  The Honorable       Municipal Plaza,    http://www.rampp-      October 7, 2013......       480045
                                   (13-06-0967P).       Julian Castro,      114 West            team.com/lomrs.htm.
                                                        Mayor, City of      Commerce, 7th
                                                        San Antonio, P.O.   Floor, San
                                                        Box 839966, San     Antonio, TX 78205.
                                                        Antonio, TX 78283.
    Bexar.......................  Unincorporated       The Honorable       Bexar County        http://www.rampp-      October 7, 2013......       480035
                                   areas of Bexar       Nelson W. Wolff,    Public Works        team.com/lomrs.htm.
                                   County (13-06-       Bexar County        Department, 233
                                   2069P).              Judge, Paul         North Pecos-La
                                                        Elizondo Tower,     Trinidad Street,
                                                        101 West Nueva      Suite 420, San
                                                        Street, 10th        Antonio, TX 78207.
                                                        Floor, San
                                                        Antonio, TX 78205.
    Dallas......................  City of Garland (13- The Honorable       800 Main Street,    http://www.rampp-      October 7, 2013......       485471
                                   06-0314P).           Ronald Jones,       Garland, TX 75040.  team.com/lomrs.htm.
                                                        Mayor, City of
                                                        Garland, 200
                                                        North 5th Street,
                                                        Garland, TX 75040.
    Dallas......................  City of Sachse (13-  The Honorable Mike  Community           http://www.rampp-      October 7, 2013......       480186
                                   06-0314P).           Felix, Mayor,       Development         team.com/lomrs.htm.
                                                        City of Sachse,     Department, 5560
                                                        3815 Sachse Road,   Highway 78,
                                                        Building B,         Sachse, TX 75048.
                                                        Sachse, TX 75048.
    Dallas......................  Town of Highland     The Honorable Joel  Public Works        http://www.rampp-      September 27, 2013...       480178
                                   Park (13-06-1142P).  T. Williams, III,   Department, 4700    team.com/lomrs.htm.
                                                        Mayor, Town of      Drexel Drive,
                                                        Highland Park,      Highland Park, TX
                                                        4700 Drexel         75205.
                                                        Drive, Dallas, TX
                                                        75205.
    Dallas......................  Town of Highland     The Honorable Joel  Public Works        http://www.rampp-      October 11, 2013.....       480178
                                   Park (12-06-3367P).  T. Williams, III    Department, 4700    team.com/lomrs.htm.
                                                        Mayor, Town of      Drexel Drive,
                                                        Highland Park,      Highland Park, TX
                                                        4700 Drexel         75205.
                                                        Drive, Dallas, TX
                                                        75205.
    Johnson.....................  City of Burleson     The Honorable Ken   City Hall, 141      http://www.rampp-      October 3, 2013......       485459
                                   (12-06-1425P).       Shetter, Mayor,     West Renfro         team.com/lomrs.htm.
                                                        City of Burleson,   Street, Burleson,
                                                        141 West Renfro     TX 76028.
                                                        Street, Burleson,
                                                        TX 760280.
    Tarrant.....................  City of Keller (13-  The Honorable Pat   City Hall, 1100     http://www.rampp-      August 12, 2013......       480602
                                   06-0279P).           McGrail, Mayor,     Bear Creek          team.com/lomrs.htm.
                                                        City of Keller,     Parkway, Keller,
                                                        1100 Bear Creek     TX 76248.
                                                        Parkway, Keller,
                                                        TX 76248.
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(Catalog of Federal Domestic Assistance No. 97.022, ``Flood
Insurance.'')

    Dated: July 26, 2013.
Roy E. Wright,
Deputy Associate Administrator for Mitigation, Department of Homeland
Security, Federal Emergency Management Agency.
[FR Doc. 2013-19440 Filed 8-9-13; 8:45 am]
BILLING CODE 9110-12-P