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Identifying and Correcting Rain Gauge Measurement Errors Using a Highly Accurate Hydrologic Model and Radar Reflectivity Data Tim Kuhns, P.E., Orchard Hiltz & McCliment, Inc. Robert Czachorski, P.E., P.H., Orchard, Hiltz & McCliment, Inc. Scott Martin, Scio Township DPS Director

How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

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Obtaining accurate rainfall measurements is essential for any infiltration and inflow (I/I) modeling study as these measurements are primary inputs into the development of the hydrologic model used to evaluate the wet weather flows in the system. In the course of performing flow monitoring for an I/I modeling study, it is not uncommon to experience intermittent rain gauge failures during a flow monitoring period without significant consequence, as these failures rarely occur during large storm events. However, such a rain gauge failure occurred during the flow monitoring period for the 2008 Scio Township I/I Modeling Study, and this failure was of significant consequence as it occurred during the largest storm event of the flow monitoring period. In most cases, even if the rain gauge failure had been identified, the storm event would have to be removed from the analysis due to the errant rainfall measurement; however, the comprehensive approach used for the 2008 Scio Township I/I Modeling Study included using a highly accurate hydrologic model to identify the rainfall measurement error and radar reflectivity data to correct the error. This allowed the use of the largest storm event to guide in the development of the hydrologic model despite the rain gauge failure.

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Page 1: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Identifying and Correcting Rain Gauge Measurement Errors Using a Highly AccurateHydrologic Model and Radar Reflectivity Data

Tim Kuhns, P.E., Orchard Hiltz & McCliment, Inc.Robert Czachorski, P.E., P.H., Orchard, Hiltz & McCliment, Inc.

Scott Martin, Scio Township DPS Director

Page 2: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Introduction-Scio Township System-•Service Area of 5.3 square miles located in Washtenaw

County, Michigan serving approximately 16,000 residents

•All flows from system outlet to two main pump stations – Jackson Road Pump Station and Liberty Road Pump Station

Page 3: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Background-Scio Township I/I Monitoring/Removal-

•2004 I/I Study found peak flows in excess of Jackson Road/Liberty Road Pump Station capacities

•2006 I/I removal plan included rehab of 25% of system manholes

•2008 Post Rehab monitoring included evaluation of effectiveness of system rehab

Page 4: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Approach of Study-2008 Post-Rehab Monitoring & System Rehab Effectiveness-•Calibrate/Validate pre-rehabilitation model using

flow, rainfall, and temperature data from 2004 monitoring

•Compare pre-rehabilitation model to post-rehabilitation data collected in 2008 to evaluate effectiveness

•A hydrologic model that controls for antecedent moisture effects is needed as the pre- and post- monitoring periods will have varying soil moisture conditions

Page 5: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Hydrologic Model Description-Effects of Antecedent Moisture on Wet Weather Flows-

•Antecedent Moisture: the relative wetness/dryness of a sewershed preceding a given storm event

Observed I / I Flows from M2 in Garden City

0

5

10

15

20

25

9/10/01 9/17/01 9/24/01 10/1/01 10/8/01 10/15/01 10/22/01 10/29/01

Date

I/I

Flo

w (

cfs

)

0.0

0.2

0.4

0.6

0.8

1.0

Rain

(in

ches p

er

hou

r)

I / I

Rain

1.45"

0.41"

1.49"

1.60"

0.62"

1.16"

0.16"

I ncreasing peak flows from similar rainfalls is the result of increasing soil moisture conditions

Page 6: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Hydrologic Model Description-Effects of Antecedent Moisture on Wet Weather Flows-•Scio Township’s system response to rainfall is highly

affected by varying antecedent moisture conditions

StormTotal

Rain (in)Observed RDII Volume

(1000's cf)Total Rainfall Volume

(1,000 cf)Capture Coefficient

(C%)

05/31/08 1.15 11.30 8,349.00 0.14%06/10/08 1.20 17.70 8,712.00 0.20%06/13/08 0.62 3.60 4,501.20 0.08%07/02/08 1.41 26.70 10,236.60 0.26%09/09/08 0.67 1.80 4,864.20 0.04%09/12/08 1.46 16.70 10,599.60 0.16%09/13/08 0.67 11.20 4,864.20 0.23%09/14/08 1.24 30.50 9,002.40 0.34%

Highest C% 0.34%Lowest C% 0.04%

AM Variability 915.5%

(AM Variabilty is defined as the ratio of the C%MAX to C%MIN)

Page 7: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Hydrologic Model Description-i3DLab Model-

•Continuous modeling approach as opposed to an event based model for I/I

•Separate models for inflow and infiltration vary continuously

•Model at each time step adjusted based on antecedent rainfall and temperature

Page 8: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Hydrologic Model Description-Typical Static Model Results-

0

5

10

15

20

9/10 9/17 9/24 10/1 10/8 10/15 10/22 10/29

0

0.5

1

1.5

2

2.5

3

3.5

4

1.45"

0.41"

1.49"

1.60"

0.62"

1.16"

0.16"

Page 9: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Hydrologic Model Description-Typical Antecedent Moisture Model Results-

0

5

10

15

20

9/10 9/17 9/24 10/1 10/8 10/15 10/22 10/29

0

0.5

1

1.5

2

2.5

3

3.5

4

1.45"

0.41"

1.49"

1.60"

0.62"

1.16"

0.16"

Page 10: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

•Detailed comparison of pre-rehab model to post-rehab flows indicates minimal I/I removal (<5%)

•Largest storm event (9/14/2008) resulted in poor match between pre-rehab model and post-rehab flows. Why?

Jackson Road PS Findings-2008 Post-Rehab Monitoring & System Rehab Effectiveness-

Page 11: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Jackson Road PS Findings -9/14/2008 Pre-Rehab Model and Post-Rehab Flow Discrepancy-

Possible Sources of Error:

•Model Calibration

•Flow Measurement

•Rainfall Measurement

Page 12: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Rainfall Measurements-Review of Rainfall & Reflectivity Measurements at Gauge Locations-

•Two rain gauges installed as part of the study

•Gauge measurements differed between locations for 9/14/2008 event

•Reflectivity measurements at gauge locations should differ

Page 13: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Rainfall Measurements-Review of Rainfall & Reflectivity Measurements at Gauge Locations-

•Reflectivity measurements obtained from National Climatic Data Center

•Reflectivity measurements at gauge locations almost identical

• Indicates possible gauge error

Page 14: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Rainfall Measurements-Review of Rainfall & Reflectivity Measurements at Gauge Locations-

•Pulsing pattern at Jackson Road rain gauge further substantiates gauge failure

Page 15: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Rain Gauge Failure-Clogged Funnel-

•Pulsing pattern at Jackson Road rain gauge was result of clogged rain gauge

Page 16: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Correcting Rainfall Measurements-For Jackson Road Rain Gauge-

•Reflectivity readings at both rain gauges suggest similar rainfall patterns and volumes at each gauge site

•Rainfall measurements from WISD gauge were “spliced” into Jackson Road rainfall measurements

• Jackson Road pre-rehab model was run with corrected rainfall measurements

Page 17: How Hydrologic Modeling and Radar Rainfall Analysis Can Overcome Rain Gauge Errors in I/I Studies

Conclusions-A Comprehensive Approach to Modeling-

•A continuous model that accurately predicts flows can be used to identify anomalies with rainfall and flow measurements. An event based model may not as easily identify these types of errors.

•A thorough evaluation of all error components (model prediction, rainfall, flow) should be completed for major calibration events to ensure model accuracy and confidence in the model results.

•Free and readily available radar reflectivity data can be used without pre-processing to assess the accuracy of rainfall measurements.