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Collection of Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) Data using Mobile Operating Systems

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Collection of Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) Data

using Mobile Operating Systems

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS)

Analysis PAPER

(Rosgen 2006b)

(Rosgen 2006b)

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Mobile Operating Systems (MOS)Any type of device that has cellular connectivity – Cell Phones, Tablets, etc.

• iOS (Apple)• Android (Google)

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Application (APP) PlatformESRI APP Platforms used:

1) ArcMobile (no longer supported by ESRI, platform issues with iSO version greater than 10.2.1) (not in App store)

2) ArcCollector (supported by ESRI)

APP Platform Download:

• Google Play (Android)• Apple Store (iSO)

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ArcGIS Online PlatformArcGIS Online:

1) Where you create an Personalized APP (basemaps, features classes, etc.) for MOS data collection.

2) Accessed through ArcCollector by signing into your ArcGIS Online Account.

3) Data is saved directly to a SDE Geodatabase Server Connection. Can be saved directly to Cloud too.

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• “Bank Assessment for Non-point source Consequences of Sediment (BANCS) model (Rosgen, D.L. 1996, 2001a)

• “A Practical Method of Computing Streambank Erosion Rate”

(Rosgen, D.L. 2001a)

• Empirical based streambank erosion prediction analysis that uses both qualitative and quantitative data.

• Parameters that are used for BEHI:

1) Study Bank Height2) Bankfull Height3) Root Depth4) Root Density5) Bank Angle6) Surface Protection7) Bank Material Adjustment

Near Bank Stress:

Seven (7) Methods of estimating NBS:

Existing conditions dictate which method is appropriate.

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Field Data Collection• Majority of BEHI Assessments collected are longitudinal bank

surveys.• Team of two assessors.

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• Study Bank Height to Bankfull Height (Quantitative)• Bankfull height typically based on regional curve.

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• Root Depth to Study Bank Height (Quantitative)

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• Weighted Root Density (Qualitative)

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• Bank Angle (Quantitative – Slope steepness)• Measured with protractor.

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• Surface Protection (Qualitative)

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• Bank Material Adjustment (Qualitative)

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• Stratification Adjustment (Qualitative)

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• Near Bank Stress• Seven (7) Methods

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Bank Erosion Hazard Index (BEHI) and Near Bank Stress(NBS) Analysis

• Photographic Documentation• Spatially associated with assessment point.

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SDE Geodatabase • Saves data directly to the assigned Feature Class that can be instantly accessed through ArcDesktop.

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No Cell Service? Connectivity Issues?

No problem!

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ArcCollector allows for the ability to directly save collected data to the MOS

• If you know you are working in a remote area, ArcCollector allows for the ability to directly save collected data to MOS

• Select work area.

• Select map detail.

• Saves a base map that can be used multiple times.

• After you are finished collecting, sync data to the SDE Geodatabase or to the Cloud.

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Python Scripts

• Once data is in the SDE Geodatabase Feature Class, Pre-logic Python script code(s) are computed within the Attribute Table Field Calculator to automatically calculate ratios and populate specific columns with a rating score.

• Model (Model Builder) to automatically populate each criterion and score appropriately.

(Rosgen 1996, 2001b, 2006b)

(Rosgen 1996, 2001b, 2006b)(Rosgen 1996, 2001b, 2006b)

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Postprocessed Estimated Sediment Loading Data Uses

• Spatial Analysis for Watershed Planning.

• CIP Projects estimation of streambank erosion reduction.

• Grant funding (Clean Water Management Trust Fund).

• Mecklenburg County Stream Restoration Ranking System (SRRS) Performance Standard.

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In Closing -- App & Geodatabase Benefits

• Not necessary to have paper data sheets or hip chains needed for longitudinal BEHI Surveys.

• Not necessary to have costly GPS equipment or software required for postprocessing data.

• Collected data is simultaneously put into tabular format. No transferring data from data sheets.

• Data is stored in a single database with spatial locations. Helps with CIP and Watershed Planning and collaboration work with Charlotte Water needed for sanitary sewer asset protection.

• Help with potential Future Charlotte/Mecklenburg Erosion Rating Curve (Validation).

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QUESTIONS?References:

Rosgen, D.L. (1996). Applied River Morphology.Pagosa Springs, CO: Wildland Hydrology Books.

Rosgen, D.L. (2001a). A Practical Method of Computing Streambank Erosion Rate.In Proceedings of the Seventh Federal Interagency Sedimentation Conference: Vol. 1. (pp. II-9–II-15). Reno, NV: Subcommittee on Sedimentation.

Rosgen, D.L. (2001b). A stream channel stability assessment methodology. In Proceedings of the seventh Federal Interagency Sedimentation Conference: Vol. 1. (pp. II-18 – II-26) Reno, NV: Subcommittee on Sedimentation.

Rosgen, D.L. (2006b). Watershed Assessment of River Stability and Sediment Supply (WARSSS). Fort Collins, CO: Wildland Hydrology Books.


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