Loren Data's SAM Daily™

fbodaily.com
Home Today's SAM Search Archives Numbered Notes CBD Archives Subscribe
FBO DAILY ISSUE OF SEPTEMBER 29, 2006 FBO #1768
SOLICITATION NOTICE

A -- SWMM RUNOFF APPLICATIONS MANUAL

Notice Date
9/27/2006
 
Notice Type
Solicitation Notice
 
Contracting Office
Environmental Protection Agency, Ord Service Center, 26 West Martin Luther King Drive, Cincinnati, OH 45268
 
ZIP Code
45268
 
Solicitation Number
RFQ-OH-06-00254
 
Response Due
10/12/2006
 
Archive Date
11/12/2006
 
Description
NAICS Code: 541710 The US Environmental Protection Agency (EPA), Office of Research and Development (ORD), intends to negotiate, on a sole source basis, under the authority of FAR 13.106-1(b), with Dr. Larry Roesner to provide the SWMM user community with a Runoff Applications Manual that describes how SWMM can be applied to estimating runoff quantity and quality for a number of modeling situations commonly encountered in practice for the U.S. EPA's National Risk Management Research Laboratory. The current NAICS code is 541710. Based on the EPA's knowledge of the Technical Support needed for the Statement of Work (SOW) there may be unique capabilities to particular contractors/consultants. The SOW is as follows: SWMM Runoff Applications Manual Background The Storm Water Management Model (SWMM) is a dynamic rainfall-runoff simulation model used for estimating the quantity and quality of storm water runoff and combined sewer overflows from primarily urban areas. A new, updated version of SWMM was recently developed by the Water Supply and Water Resources Division of EPA's National Risk Management Research Laboratory (see http://www.epa.gov/ednnrmrl/models/swmm). It has been well received by the storm water modeling community, with its web page being among the most frequently visited among all those maintained by EPA's Office of Research and Development. One consequence of this has been an increase in the numbers of new users of the program. Although SWMM's documentation includes a Users Manual that describes the mechanics of using the program, one enhancement that users have requested, especially the less experienced ones, has been for more "nuts and bolts" case study examples that show them how to apply SWMM to various types of storm water management problems. The intent of this project is to fulfill this need. Purpose The purpose of this project is to provide the SWMM user community with a Runoff Applications Manual that describes how SWMM can be applied to estimating runoff quantity and quality for a number of modeling situations commonly encountered in practice. The manual will be written in a how-to style utilizing a case study approach. It is anticipated that a complementary manual covering runoff flow and quality routing will be contracted for in a separate project. Tasks The contractor shall identify 4 to 6 topics that will serve as suitable case studies to be described in the manual. The topics should emphasize modeling scenarios that would be of common interest to a wide range of storm water modelers and shall include: how to obtain SWMM runoff input data from readily available data sources (e.g. topographic drawings, government databases, etc.), how to model infiltration-based BMPs (e.g. disconnecting roof drains, vegetative buffer strips, etc.), how to compare pre- and post-development conditions using continuous simulation. The contractor shall develop a common presentation format to use when describing the case studies. It is anticipated that each case study will form a separate chapter in the manual. The topic explored by each case study should be encapsulated into a SWMM data set of an appropriate size so that readers can easily follow the procedures used to create the data set and analyze its simulation results. Each data set shall be analyzed using the SWMM program and a discussion of the analysis results shall be included. As the manual is purely tutorial in nature it is permissible to use synthetic data when developing the case studies. Deliverables Two months after the order is awarded the contractor shall deliver an Interim Report to the EPA that identifies the case study topics that will be contained in the Applications Manual along with the general approach used to develop each case study. One essentially completed case study should be included in the report to serve as an example for what the others might look like. Six months after the order is awarded the contractor shall deliver a draft of the full SWMM Runoff Applications Manual to the EPA PO in electronic format, as either a Microsoft Word or Corel WordPerfect file, for review and comment. Eight months after the order is awarded the contractor shall deliver the final SWMM Runoff Applications Manual document to the EPA PO in electronic form as either a Microsoft Word or Corel WordPerfect file, for review and approval. In addition, all data files used for the case studies shall be supplied in electronic format. However, any firm believing itself capable of meeting the EPA's requirement may submit technical documentation to establish the potential of complying with the specifications. Such documentation must be submitted to the point of contact within 15 days of the posting of this notice. A determination not to compete the proposed requirement, based upon responses to this notice, is solely within the discretion of the Government. Information received will normally be considered only for the purpose of determining whether to conduct a competitive procurement or to proceed on a sole source basis. The applicable NAICS code is 541710. Please submit your request in writing to Scott A. Fogle at fogle.scott@epa.gov or fax your request to (513) 487-2107. No telephone requests will be honored.
 
Record
SN01156179-W 20060929/060927221153 (fbodaily.com)
 
Source
FedBizOpps Link to This Notice
(may not be valid after Archive Date)

FSG Index  |  This Issue's Index  |  Today's FBO Daily Index Page |
ECGrid: EDI VAN Interconnect ECGridOS: EDI Web Services Interconnect API Government Data Publications CBDDisk Subscribers
 Privacy Policy  © 1994-2020, Loren Data Corp.