Catchment Hydrology

Part A: Downstream Hydrometric Stations
The Credit River flows from Orangeville, Erin and Mono, incorporates the Niagara Escarpment and Oak Ridges Moraine, and eventually drains into Lake Ontario at Port Credit.
The provided excel spread sheet, GGR217_Lab5_CatchmentHydrology_Supplement.xlsx, found on Quercus, contains 2016 daily discharge (m3/s) downloaded from the Water Survey of Canada website for five hydrometric stations along the Credit River (shown below). Also attached with the discharge data is the Julian date (JD), a continuous count of days where JD =1 for January 1st, while JD=365 for December 31st. You can find various Julian date calendars online.
 Credit River Erin Branch at Hillsburgh (02HB031), basin area = 12.5 km2 Credit River near Orangeville (02HB013), basin area = 60.6 km2 Credit River near Cataract (02HB001), basin area = 209 km2 Credit River at Boston Mills (02HB018), basin area = 415 km2 Credit River at Streetsville (02HB029), basin area = 774 km2
Question 1: Calculate the annual average discharge (m3/s), total annual flow (km3) and total annual runoff (mm) for each station in 2016. Provide one sample calculation for each.
Question 2: Find and list the annual peak flow for each station. Compare the annual peak flow from the station located at Credit River Erin Branch at Hillsburgh (02HB031) and at Credit River at Streetsville (02HB029). How many days apart are these annual peak flows?
Question 3: Plot the discharge data for all five Credit River stations (on one graph) against the Julian date. The graph should have five lines representing the five downstream stations. Make sure the graph is fully labelled.What was the likely cause of the annual peak flow along the Credit River?
Part B: Flood Forecasting
Data provided in Part B of the excel file, GGR217_Lab5_CatchmentHydrology_Supplement.xlsx, provides the daily discharge for Credit River at Norval from 1989 to 2018. In this section, you will calculate the exceedance probability to aid in flood forecasting.
In order to calculate the exceedance probability, you must sort the discharge data in descending order. With discharge data sorted in descending order, and the “Rank” column already filled in, the exceedance probability (P) can be calculated by: 



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