Abstract
The mechanism of flood forecasting is a complex process, which involves precipitation, drainage-basin characteristics, land use/cover types, and runoff discharge. Because of the complexity of flood forecasting, hydrological models and statistical models need to be developed for flood frequency analysis, river runoff prediction, and flood forecasting. In this chapter, Soil Conservation Service (SCS) Curve Number (CN) model is applied for river runoff prediction in the Oak Ridges Moraine (ORM) area, southern Ontario. The historical data for the past several decades (river gauging, precipitation, ground water, census and land use) are used to model the relationship among the stream runoff, precipitation and hydrological-geographical features to apply SCS CN model for river runoff prediction.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
