<p>Traditional methods for flood estimation can be categorized as (1) simplified
methods, e.g., regression analysis, (2) frequency analysis of streamflow data, (3)
design storm-based precipitation-runoff modeling, and ( 4) continuous
precipitation-runoff simulation modeling. The new approach - the Analytical
Probabilistic Stormwater Model - was developed as an alternative to provide an
efficient way of getting realistic estimation of peak discharges of desired frequencies
for use in stormwater management of urban areas. To extend APSWM's application to
rural areas, a series of comparisons were made between the calibrated design
storm-based OTTHYMO model results, frequency analysis results and APSWM
results for the Ganaraska River watershed. Special considerations were given to the
transformation of the input parameter values of OTTHYMO model to those of
APSWM. Comparable results were obtained for large floods, while APSWM may
underestimate peak discharges of low return periods. Upon further testing and
development, APSWM may be used for large rural areas.</p> / Thesis / Master of Engineering (MEngr)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/21741 |
| Date | 01 1900 |
| Creators | Dai, Jianping |
| Contributors | Guo, Yiping, Civil Engineering |
| Source Sets | McMaster University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
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