CLIENT OBJECTIVEs

Establish credible baseline flood maps specific to local landscapes in order to understand potential distribution of flood waters and associated damages and costs to community of future extreme run-off events (EREs).
Use risk based cost-benefit methods to assess viability of proposed infrastructure adaptation options.

PROJECT OBJECTIVES

Develop credible baseline floodmaps using WDPM stormwater distribution models for various EREs.
Compare and verify flood maps against aerial photographs and local knowledge and experience.
Determine likely effectiveness of man-made drainage channel for preventing flooding and related flood damage costs using cost-benefit framework.

Begin with LiDAR DEM for considered landscape.
Use WDPM to produce flood maps based on a range of EREs (1/15 year, 1/25 year, 1/50 year).
Collect GIS based receptor location data (location of oil facilities and oil wells, crops, residences, roads) from client.
Overlay GIS receptor locations onto flood maps to determine scale of potential damage and damage costs to community associated with each individual ERE.
Generate probabilistic ERE forecasts over a 25 year planning period.
For each forecast, estimate total damage costs to the community over the 25 year period.
Use results to estimate the average expected damage cost to the community and corresponding range of likely damage costs.
Redo the above process with adaptation option considered (affects spatial distribution of water).
Estimate life cycle costs (LCCs) for the considered infrastructure adaptation (man-made drainage channel).
Compare benefits (damage cost savings) of man-made drainage channel against corresponding LCCs to determine viability of the option.

Produce flood water distribution maps & receptor maps and overlay them for various EREs (GIS Based maps)
Flood modeling under various magnitudes of EREs
Calculate potential damage costs
CBA for adaptation option
Presentation to RM Council and staff to confirm reasonability of maps with past experience
Written reports