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COMMERCE BUSINESS DAILY ISSUE OF APRIL 26,2000 PSA#2587Department of the Interior, Minerals Management Service, Procurement
Operations Branch, MS2500, 381 Elden Street, Herndon, Virginia
20170-4817 B -- DEVELOPMENT OF A REGULATORY AIR QUALITY MODEL FOR OCS
APPLICATIONS SOL 1435-01-00-RP-31071 DUE 051600 POC Lisa
Goins-Berntsen, Contracting Officer 703-787-1364 E-MAIL: click here to
contact the contracting officer via, lisa-goins@mms.gov. The U.S.
Department of the Interior Minerals Management Service (MMS) intends to
competitively award a Cost Plus Fixed Fee contract for a study to
develop an updated regulatory model for evaluating air quality impacts
from emission sources located on federal waters on the Outer
Continental Shelf (OCS). The following information will describe the
prospective effort and advise potential offerors how to respond. The
MMS is in charge of a national program to develop the mineral
resources, including oil and gas, on the OCS areas of the United
States. The areas of oil/gas development are located at distances
ranging from three (3) miles to more than 100 miles from shore.
Currently most of the activities take place in the Gulf of Mexico. In
the early 1980s the MMS developed the Offshore & Coastal Dispersion
(OCD) model, a steady-state Gaussian model for evaluating impacts from
inert pollutants (NO2, SO2, CO, PM) emitted from point, line, or area
sources located over water. Since the science of dispersion modeling
has made significant advances over the last couple of decades, there is
a need to develop a model for application to emission sources on the
OCS that incorporates, to the extent feasible, the most current
knowledge and is versatile enough to be used in short-range as well as
long-range applications. The objective of this study is to formulate
a new or revised air quality model for offshore and coastal
applications. It shall be carried out in two phases. The first phase
shall consist of a review of current puff models for the purpose of
determining which one could be most effectively adopted, modified, or
enhanced for use in an offshore and coastal environment. This shall be
accomplished by comparing model algorithms with formulations derived
from current theory and observations of the marine boundary layer and
overwater dispersion characteristics. The results of this review and
analysis shall be used to develop a plan for the formulation and
development of a revised offshore and coastal air quality model. In the
second phase, a revised air quality model shall be developed. A revised
or enhanced CALMET/CALPUFF system is preferred, but another Lagrangian
trajectory model may be considered. The model shall be designed to
calculate 1, 3, 8, 24-hour, and annual average concentrations of the
so-called "nonreactive" pollutants (i.e., NO2, SO2, PM, and CO).
Simulation of ozone (O3) concentrations shall not be considered. The
model shall contain simple chemistry for calculating NO2, nitrates, and
sulfates, and be able to simulate wet/dry deposition. The model shall
have the capability to use the most basic overwater meteorological
input variables (i.e., wind speed and direction at roughly 10 m above
the water surface, air temperature at about 10 m, sea surface
temperature, and relative humidity). However, the model shall have the
option of incorporating data from overwater rawinsonde observations or
profilers. The requirements for overland meteorological data and
surface characteristics shall be the same as those for AERMOD or
CALPUFF (e.g., wind speed, cloud cover, albedo, Bowen ratio, roughness
length). The model shall have the ability to simulate pollutant
concentrations at overwater receptors, at receptors in the land/water
transition zone, and at receptors at inland locations where overland
conditions predominate. The range of the model shall extend from less
than 100 m to distances of up to 200 km or more downwind of the source.
The model shall also contain algorithms to take terrain into account.
The building downwash algorithms shall take into account platform
structures as well as vessels. The model shall contain appropriate
algorithms for calculating over water mixing heights. These shall be
based on either existing formulations from the literature or
new/modified ones. The model shall also contain an empirical scheme to
adjust the 3-D wind field to account for land/sea breeze circulation
systems. This scheme will take into account land/sea temperature
contrast, heat flux, time of day, terrain, and general synoptic flow.
The model shall have the capability to be run in a screening mode
(similar to running CALPUFF in the ISC mode) for single facilities as
well as in runs utilizing complete 3-D meteorological data, hundreds of
sources, and domains the size of several hundred kilometers. The
complete model package shall consist of (1) pre-processors for
generating land use and terrain data, (2) meteorological data
pre-processor, (3) a meteorological model, (4) an air quality model,
and (5) post-processors. The meteorological data pre-processor shall
have the capability of reading National Data Buoy Center (NDBC) buoy
data, identify data gaps, and re-format the data for input into the
meteorological model. The post-processors shall be designed so that the
user to view the meteorological input associated with episodes of peak
concentrations. The model code will be in Fortran 90 programming
language. A user-friendly, Windows based Graphical User Interface (GUI)
program shall be constructed for use in generating input control files,
running the model, and manipulating output files. The model, including
any of the codes, shall be non-proprietary. The model shall be
designed to run on a PC, and should have the capability to be
transferred to a UNIX workstation. Ease of use shall be of high
priority. The final product will be used by offshore operators for MMS
plan reviews or for EPA permit applications. Emission sources include
offshore platforms, construction activities, vessels, and oil spills.
The models will also be used by MMS in programmatic air quality
analysis for OCS lease sales. The model shall also have the capability
to address visibility. A test version of the model shall be
constructed and sensitivity tests and model performance evaluations
conducted. The model performance evaluation shall utilize data
collected in tracer experiments that were conducted in several coastal
areas in California and Louisiana, and any other marine or coastal
data that may be available elsewhere. The model predicted values shall
be compared against measured concentrations in the field using basic
EPA guidance on model performance evaluations. Following completion of
the sensitivity tests and model performance evaluations, a final model
package shall be delivered. How To Respond: In order to compete for
this contract, interested parties must demonstrate that they are
qualified to perform the work by providing a Capabilities Statement
detailing: (1) your key personnel (those who would have the primary
responsibility for performing and/or managing the project) with their
qualifications and specific experience; (2) Your organization's
experience with this type of work and a description of your facilities;
and (3) specific reference (including project identifier/contract
number and description, period of performance, dollar amount, client
name, and current telephone number) for work of this nature that your
personnel or organization is currently performing or has completed
within the last two years. The capability statements must be received
in Herndon, VA by May 9, 2000. Also please include any negative
references and your rebuttal explaining your side of the story. All
references will be checked to validate the information provided.
Offerors shall submit an original and ten (10) copies of the
Capabilities Statement to Ms. Lisa S. Goins-Berntsen, Contracting
Officer, Minerals Management Service, Procurement Operations Branch,
381 Elden St., MS 2510, Herndon, VA 20170-4817. Your Capabilities
Statement will be evaluated based on the skills, abilities, education,
professional credentials, and experience of your proposed key
personnel and experience and past performance of your organization,
including number, size, location of projects, and complexity of similar
projects completed by the proposed project team and your organization
to determine your potential for success and contract award. You must
have demonstrated capabilities in investigating atmospheric boundary
layer processes and atmospheric dispersion, particularly in a marine
and coastal environment and the ability to formulate and develop
complex meteorological and air quality models for regulatory
applications. You must also have strong credentials in computer
programming, writing of computer codes, and construction of complete
model software packages, including pre-processor and post-processor
programs and graphical user interfaces (GUIs). Finally, you must have
expertise in conducting air quality model performance evaluations using
data from atmospheric tracer experiments and other sources. Past
performance includes adherence to schedules and budgets, effectiveness
of cost control, the acceptability of previous products delivered,
effectiveness of program management, and the Offeror's willingness to
cooperate with the customer in both routine matters and when confronted
by unexpected difficulties. Following the review of all Capabilities
Statements submitted, those judged most qualified to successfully
perform the effort will be provided additional written proposal
instructions. You will be expected to provide an oral presentation, in
Herndon, VA, of your technical proposal if judged to be technically
qualified. While telephone questions are strongly discouraged, written,
E-mail or faxed inquires are encouraged. Please send questions as soon
as possible to lisa.goins@mms.gov. Please include the RFP Number
1435-01-00-31071 as well as your full name, organization name, address,
phone and FAX numbers. It is the responsibility of the offeror to
ensure that the Capabilities Statements are received at or before the
date/time set forth above. Posted 04/24/00 (W-SN447968). (0115) Loren Data Corp. http://www.ld.com (SYN# 0011 20000426\B-0005.SOL)
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