Remote Sensing and GIS Derived Hydrologic Parameters for a Distributed Urban Stormwater Runoff Simulation
Publication: Watershed Management and Operations Management 2000
Abstract
This paper presents a detailed study of the impact of remote sensing resolution on hydrologic parameterization for stormwater runoff estimation in a highly developed urban area. Three different remotely sensed images were used and a very high resolution GIS database was developed. GIS was used as a tool to perform spatial analysis. The watershed rainfall-runoff simulation was modeled using the kinematic wave approach in HEC-1, with the regional design storms as inputs. The remote sensing derived impervious area, SCS runoff curve number and flow resistance factor for overland flow planes in each sub-watershed were analyzed. Next, the simulated stormwater runoff estimates were compared in detail. The results show that, in such a variable and highly developed urban area, the simulated stormwater runoff peak flow using the high resolution RS data, NS001, could be 50% to 80% different from the values estimated by Landsat TM and SPOT data. The simulated runoff volumes could be 40% to 55% different.
Get full access to this article
View all available purchase options and get full access to this chapter.
Information & Authors
Information
Published In
Copyright
© 2000 American Society of Civil Engineering.
History
Published online: Apr 26, 2012
ASCE Technical Topics:
- Analysis (by type)
- Engineering fundamentals
- Environmental engineering
- Geographic information systems
- Geomatics
- Hydrologic engineering
- Hydrology
- Infrastructure
- Mathematics
- Measurement (by type)
- Parameters (statistics)
- River engineering
- River systems
- Runoff
- Sensors and sensing
- Spatial analysis
- Statistics
- Stormwater management
- Surveying methods
- Urban and regional development
- Water and water resources
- Water treatment
- Watersheds
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.