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This study presents a GIS tool bar that helps in the identification of properties near canals that may potentially experience flood problems. The tool bar includes functions for inventorying canals, calculating maximum flow rate permissible, calculating surface run off flow, and identifying potential flood problems. The methodology involves VBA code, input information including canal shapefile, flow direction, and property ownership, and the use of equations for surface runoff area, inventorying canals, and calculating flow rates. The model was tested using data from the Northern Logan Canal, and the results demonstrated the effectiveness of the tool bar in identifying properties at risk of flooding.
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GIS TOOL BAR FOR IDENTIFICATION OF PROPERTIES CLOSE TO CANALS WITH POSSIBLE FLOOD PROBLEM by J.J. Escurra Source :August Miller, Deseret Morning News Placing sandbags Thursday in an effort to stop the flooding of homes from Box Elder Creek in Brigham City.
Objectives • Creation of a function that helps with canal’s inventory. • Creation of function that calculates the maximum flow rate permissible in a canal. • Creation of a function that calculates the surface run off flow. • Creation of a function that identify the possible flood problems in a canal.
Methodology • All the code was written in VBA • Input information. a) Canal shapefile b) 8 Flow Direction c) Properties with owners • 6 steps. • Used equations. Surface Runoff Area using D 8 flow direction and modified David Tarboton code . Inventory of Canal from Diagnostic Walk Thru For a selected section Calculation of Runoff Flow using Rational Equation Calculation of Maximum Flow rate using Manning Equation Difference of Runoff and Maximum Flow rate and giving values of 0 and 1 for positives and negatives values.
Results To test the model data from Northern Logan Canal was used, the canal was GPSed only 5 kilometers from the total 24 kilometers of length
Calculation of the Surface Runoff Area gridshape([results])
Free bord Total depth ml mr Canal width Filling in Data