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1
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2
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- Runs on PocketPC – HP iPAQ™
- Easy to use, Built in prompts
- Data format (PD0) compatible with WinRiver
- Permitting powerful QA/QC
- Simplifies data handling & reporting
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3
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4
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- Select Site File
- Auto-load site specific StreamPro setup
- Or
- Manually select
- Cell size
- # cells
- Transducer depth
- Units (SI / Imperial)
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5
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- Self Test
- Auto-confirms StreamPro is working
- Start Pinging
- Display assures user re data quality
- Watch live data
- Verify minimum depths for edges
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6
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7
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- Step by step prompts
- Minimizes learning time, need to remember
- Easy to read display
- Even in bright sunlight
- User interacts only at start and end of section
- Focus on one thing at time -- reduces operator error
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8
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- Replay data files
- Rapid review of transect collected
- Section results added automatically to site summary table
- Color-coded statistics provide visual okay re quality of all sections
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9
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- History and Expert
- View graphs while acquiring data
- Synchronize clock in StreamPro to PocketPC
- Data Review
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10
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- Convenient Data Handling
- Easy Discharge Reporting
- Powerful Data Quality Review
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11
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12
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- One-click batch processing of ALL sections taken during site visit
- Auto-creation of Discharge Summary Table
- Auto-selects successive discharge sections for easy display / processing
- Flexible viewing of discharge section
- Choice of displays vs. time or distance
- Control of averaging of data on display
- Easy export of data and summary files for subsequent user analysis in
own programs
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13
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14
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- Discharge Summary Table conforming to USGS format
- Answers questions about measured and extrapolated components of total
discharge result
- Reveals repeatability of results: numerical listing, statistical
summary, and color-coded results
- Wizard-aided creation of Discharge Site Report conforming to USGS format
- 1-step transfer of graphics into data reports
- Embedded screen capture of each PC window
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15
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16
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- Quickly see distribution and quality of currents across complete section
- Use Data Quality Indicators for finding / examining erratic data
- Evaluate patterns in color-contoured sections
- Quantify erratic values graphically (vertical profiles of water speed)
and in tabular listings
- Adjust data quality thresholds for data screening
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17
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