Main Title |
Geographical information systems, decision support systems, and urban stormwater management / |
Author |
Heaney, James P. ;
Sample, D. ;
Wright, L.
|
Other Authors |
|
CORP Author |
Colorado Univ. at Boulder.;National Risk Management Research Lab., Cincinnati, OH. Office of Research and Development. |
Publisher |
U.S. Environmental Protection Agency, National Risk Management Research Laboratory, Office of Research and Development, |
Year Published |
1999 |
Report Number |
EPA/600/R-00/027; NRMRL-CIN-0979 |
Stock Number |
PB2000-104077 |
Subjects |
Urban runoff--Management--Research ;
Urban runoff--Research
|
Additional Subjects |
Geographic information systems ;
Decison support systems ;
Urban runoff ;
Storm water runoff ;
Nonpoint sources ;
Water management ;
Rainfall-runoff relationships ;
Urban hydrology ;
Hydraulics ;
Cost analysis ;
Data bases ;
Mathematical models ;
Computerized simulation ;
Best Management Practices
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB2000-104077 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
86 pages : illustrations ; 28 cm |
Abstract |
The report reviews the application of Geographic Information System (GIS) technology to the field of urban stormwater modeling. The GIS literature is reviewed in the context of its use as a spatial database for urban stormwater modeling, integration of GIS and hydrologic time series, and integration of GIS and urban stormwater models. The available urban stormwater modeling software is reviewed and discussed with respect to their GIS integration capabilities. Decision Support Systems (DDS) are reviewed with respect to their integration with GIS, and their applicability to urban stormwater management problems. A simplified neighborhood scale decision support system (DSS) is presented that includes a GIS, a database, a stormwater system design template, and an optimization capability for screening alternatives. The area and soil based National Resources Conservation Service (NRCS) method is used for calculating runoff from GIS information. Using economic analysis that compares the costs of controls, including the opportunity cost of land for land intensive controls, the optimal selection of Best Management Practice (BMP) controls was accomplished by use of a linear programming (LP) method. The report provides an example of the types of problems that become possible to explore with the application of DSS and GIS technology on a small scale. |
Notes |
"Final report." "Project Officer, Richard Koustas." "August 31, 1999." Includes bibliographical references. Microfiche. |