Radar Analysis for Design Storm Application Baxter E. Vieux, Vieux - - PowerPoint PPT Presentation

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Radar Analysis for Design Storm Application Baxter E. Vieux, Vieux - - PowerPoint PPT Presentation

37th Conference on Radar Meteorology Norman Oklahoma 14 18 September 2015 Norman, OK Radar Analysis for Design Storm Application Baxter E. Vieux, Vieux & Associates, Inc. Annj anette Dodd, Kimley-Horn, Inc. Brian Wilson, Nevada


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SLIDE 1

Radar Analysis for Design Storm Application

Baxter E. Vieux, Vieux & Associates, Inc. Annj anette Dodd, Kimley-Horn, Inc.

Brian Wilson, Nevada Department of Transportation 37th Conference on Radar Meteorology Norman Oklahoma 14 – 18 September 2015 Norman, OK

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Research Objectives

Develop a design storm that is more representative of rainfall in Nevada for drainage infrastructure design

Nevada Department of Tranportation

Goals-

  • 1. Develop representative

temporal distributions called a hyetograph

  • 2. Develop point-to-area

relationships for applying rainfall depths of specific return interval, called a Depth-area- reduction-factor (DARF)

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SLIDE 3

Research Components

  • 1. Hyetograph (design

storm distribution)

  • 2. Depth-area-reduction-factor

(DARF)

Areal Synthesis Temporal Synthesis

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Methodology

1. Establish radar-based storm event list 2. Convert reflectivity to rainfall 3. Aggregate storm to specific durations 4. Develop depth-area-duration (DAD) values and select for maximum depth 5. Develop 50th and 90th DARF relationships 6. Compare results to historical studies in western US 7. Recommend 50th or 90th DARF based on hydrologic evaluation for use statewide

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SLIDE 5

WSR-88D Stations

Radar Stations and Data (2005 – 2014)

  • KRGX (Reno, NV)
  • KLRX (Elko, NV)
  • KESX (Las Vegas, NV)
  • KICX (Cedar City, UT)

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SLIDE 6

Storm Event Selection

Seasonal Distribution

Events identified fron NWS flash flood warning or flood advisory (NCDC 2005-2014)

  • 138 flash flood reports within

HHAs 1-8

  • Convective storms during the

peak NAM months, with 83% falling in July–September.

HHA 1 2 3 4 5 6 7 8 Total

  • No. of

Events 39 48 36 42 103 34 144 101 547

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SLIDE 7

Distribution of Duration-Based Storm Events

  • Events in each of 8

Hydrometeorologically Homogeneous Areas (HHAs) targeted

  • Radar reflectivity (Z) data

converted to rainfall (R) using a putative relationship Z=300R

1.4

  • Resulting (unadj usted)

rainfall used to compute relative depths for point/ area ratios

  • Exclude radar storm totals

that are not useful

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SLIDE 8

Example Radar QC

Bright banding that

  • ccurred across

HHA 8 during the 11/26/2008 event Considered ideal radar event that occurred across HHA 11 during the 6/10/2013 event Terrain induced returns (AP) that

  • ccurred across HHA 1

during the 6/8/2009 event 8

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SLIDE 9

Develop Depth-Area-Duration (DAD) Values

  • From the storm event

aggregations, depth-area- duration (D-A-D) values were computed.

  • Area was determined for the

average storm total depths >0.25-inches

  • D-A-D period with the

maximum depth selected for analysis

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SLIDE 10

Depth-Area North American Monsoon 2014

Storm Total - 6-hr Aggregations from 8-Sep-14 to 9-Sep-14

8-Sep-14 21:00 9-Sep-14 2:00

0.00 0.20 0.40 0.60 0.80 1.00 1.20 500 1000 1500 DARF AREA (SQ. KM.)

SOUTHERN NEVADA 6-HR DURATION

8-Sep-14 21:00 9-Sep-14 2:00

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SLIDE 11

DARFs at 90th and 50th Percentile

HHA 1 – 1hr HHA 1 – 12hr HHA 8 – 1hr HHA 8 – 12hr ~0.4 11

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SLIDE 12

Walnut Gulch Arizona

Geographically Fixed

  • USDA Agricultural Research

Service (ARS) in the Walnut Gulch watershed located near Tucson, AZ, 388 sq.

  • km. (150 sq. mi.)
  • GF analysis of network

consisting of 107 gauges at an average elevation of 4,656-ft. msl.

  • DARF in close agreement for

areas from 0- to 50-sq. mi. 6-hr duration DARF curves for Walnut Gulch (blue) and median DARF curves for HHA 1 through HHA 8 (red)

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Texas Department of Transportation

  • Olivera et al. (2005) statewide

analysis for Texas Department of Transportation (TXDOT)

  • Composed of storms from a two-

year period using radar data at 4x4-km resolution in an SC-type analysis framework.

  • DARF for HHA 1 – 8 compare well

in shape, but with less reduction.

  • Shape is encouraging given that

the TXDOT study is radar based and comprises many storms

  • Climatological differences may

produce larger storm cells in Texas than Nevada 1-hr duration DARF curves for TXDOT (blue) and median DARF curves for HHA 1 through HHA 8 (red)

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Comparison

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Statewide 90th Percentile DARFs

1 hr 2hr 3hr 6hr 12hr 24hr 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00 500 1000 1500

DARF Area (sq. km.)

1

  • Difference in DARF values across the state is < 0.15 for

durations of 1-hr at areas of 259 sq.km. 15

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Summary

  • Radar data provided essential data for 547 events and

1,720 different durations

  • Developed DARF relationships for 1, 2, 3, 6, 12, and

24hr durations at 50th and 90th percentile, statewide

  • Importance of analyzing a large number of events is

emphasized by the variation in DARFs for a given duration and area

New streamlined design storm procedures have been developed for the Nevada Department of Transportation.

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Questions ?

Baxter E. Vieux, PhD, PE Vieux & Associates, Inc. 350 David L. Boren Blvd. Suite 2500 Norman, OK 73072 www.vieuxinc.com Baxter.Vieux@vieuxinc.com 405 325-1818 17