Streamlined Data Visualization and Analyticsfor Smart Stormwater ManagementMatthew Zelin, PE mzelin@hazenandsawyer.com

Ryan O’Banion robanion@hazenandsawyer.com

Importance of Storm Characteristics

Depth

Intensity

Frequency

Duration

Storm Characteristics are Changing

► Is this the New Normal?Channel 1 News

Stormwater Challenges are Changing

Data are Changing

Daily Continuous

SingleDownload Data Service

Frequency:

Availability:

Potential Data Sources

• USGS• Flow• Water level• Precipitation• Water quality

• NOAA• Historical precipitation• Atlas 14 analysis• Precipitation forecast

• EPA• Water quality (WQP)

• Local Records• MS4 sampling• Biological sampling• Drainage complaints• Maintenance records

• And More…

USGS Precipitation Gage Network

Native Data not Necessarily User-Friendly

10 Years of 15-Minute Data

350,000 Records

10,000 – 20,000Typical Records with Rainfall

0.75 milesof printed pages

Analysis Tool Objectives

Streamline analysis

Support association with varied datasets

Facilitate regular updates

Visualize results

Framework for Analysis

Power BI

Rainfall record

Separate and characterize storm events Connect and

visualize data sources

• Atlas 14 DDF

• Forecast

Defining Storm Events

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Historical Storm Overview

Better Understanding Storm Characteristics

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Better Understanding Storm Characteristics

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Better Understanding Storm Characteristics

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Better Understanding Storm Characteristics

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Duration Max Depth

30-min 1.63”

60-min 2.23”

2-hr 2.85”

6-hr 3.68”

12-hr 3.71”

24-hr 3.71”

NOAA Atlas 14 Comparisons

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Duration Max Observed

1-yr Depth

2-yr Depth

5-yr Depth

10-yr Depth

30-min 1.63” 1.10” 1.31” 1.56” 1.76”

60-min 2.23” 1.37” 1.64” 2.00” 2.29”

2-hr 2.85” 1.60” 1.92” 2.36” 2.73”

6-hr 3.68” 2.04” 2.45” 3.03” 3.53”

12-hr 3.71” 2.41” 2.89” 3.59” 4.20”

24-hr 3.71” 2.87” 3.47” 4.35” 5.04”

Filtering Storm Characteristics

Comparing to NOAA Atlas 14

Observed Storms

NOAA Atlas 14Depth, Duration, Frequency

- Less Than

+ Greater Than

Context for Forecast Rainfall

Visualizing Receiving Water Quality

Associating Water Quality and Storms

Connecting with Other Data

IncidentTime

StormTime

StormCharacteristics

Connecting with Other Data

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Drainage Complaints

Sanitary Sewer Overflows

Connecting with Other Records

• What storms trigger flooding?• Drainage complaints• Road closures

• When and where is post-storm maintenance needed?• Drainage complaints• CMMS work order data

• What are the water quality impacts?

Conclusions

• Data are available to better understand changing storms• These data can provide valuable context for:

• Communication with municipal staff, elected officials, and the public• Long-term capital improvement and maintenance planning• Near-term maintenance efforts

• Supplement for future climate projections• Opportunities exist to incorporate other data and better

understand broad array of stormwater issues

Streamlined Data Visualization and Analyticsfor Smart Stormwater ManagementMatthew Zelin, PE mzelin@hazenandsawyer.com

Ryan O’Banion robanion@hazenandsawyer.com