The objective of this chapter is to present an investigation of the robustness of an algorithm for storm direction and speed. The algorithm is used in a utility called "Rainpak,. in PCSWMM. In this chapter we first present an approach for estimating the mean speed and direction ofamulti-cellularrainstorm using rateof-rain gages. The code for spatial analysis of storms and their cells is described. Then we present a Monte Carlo analysis of rain storms observed in Toronto and Hamilton, Ontario, in which we demonstrate the robustness of the analysis with respect to observational uncertainty.
Little has been done over the years to either automate the more labour intensive activities involved in flood plain mapping and management or to increase the efficiency and accuracy of handling applications for development or modification of hazard lands. A logical approach to addressing both of these shortcomings is to integrate a Geographic Information System (GIS) into the flood plain management process. For the water resources professional, a GIS-based flood plain management system would serve two primary functions. Firstly, it would serve as a front end to the modelling process, providing digital data for input into both hydraulic and hydrologic modelling programs.
Database for In-field Condition Assessments Analysis This module supports the prioritization of flood control sites for remedial action based upon field inspection data. This prioritization is used as input into a budgeting process. Administration This module supports administrative functions such as creating sites, retiring sites, modifying prioritization data. Table 5.1 Flood control infrastructure sites to be inspected.
The existing hydrologic model of the Ganaraska River Watershed, developed about twenty years ago, and the Regulatory Flood, estimated using that model, was not considered reflective of current watershed conditions by the Ganaraska River Conservation Authority (GRCA). Also, the Cameco Corporation property near the mouth of the Ganaraska River is potentially affected by the Regulatory Flood limit and the Corporation, therefore, had an interest in accurately defining the Regulatory Flood limit. The GRCA and Cameco agreed to address the necessary technical update with two studies-a hydrology study prepared by the GRCA with the assistance of Schaeffers Consulting Engineers and a hydraulics study prepared by Cameco Corporation with the assistance of AMEC. The peak flow estimates computed with the newly developed hydrologic model, a component deliverable of the recently completed hydrology study, changed from those previously generated using the 1980's vintage simulation model. Therefore, there was a need to update the present Regulatory Flood Plain delineation and mapping to reflect the new flood flow estimates. The objective of this study was to undertake a hydraulic assessment of the Ganaraska River from the mouth of the river at Lake Ontario to the Robertson Street Bridge, as illustrated in Figure 4.1, and to compute the water levels for the purposes of identifying flood proofing elevations for the Cameco site.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.