Trinity River Integrated Information Management System IIMS

1
Trinity River Integrated Information Management
System (IIMS)

• Trinity River Restoration Program
• 2007 Science Symposium
• By Andreas Krause

2
TRRP Need

• Support annual management decisions AEAM.
• Integrate multi-disciplinary data from disparate
  sources.
• Facilitate multiple modeling initiatives using
  common data.
• Promote data and result sharing.
• Needs driven not a data bucket
• Reduce the total cost of ownership for
  applications by leveraging a central IT solution.

3
Decision Support
4
IIMS Features

• Centralized database
• New and historical data
• Maps, tabular and meta data
• Field notes, documents and photographs
• Raw physical measurements modeled (derived)
  data
• Secure
• Quality assurance and control
• Automated interaction
• Online data (e.g. NWIS)
• Predictive models
• Visualization and analysis tools

5
Benefits

• Standardize data collection techniques
• Consistent data formats
• Support coordinated analysis avoid isolated
  initiatives
• Cooperation exchange of data
• Rapid access to the latest data
• Multiple spatial scales
• Transparent audit trail of data management
  decisions
• Facilitate contracting

6
Philosophy

• One-stop-shop
• QC data only
• Link to online data
• Leverage other databases
• Scalable
• Multiple river basins
• Plug in additional modules
• Economy of scale
• Maintainable
• Architected not ad hoc
• Source code control
• QA and QC development
• Technical Support
• Manageable
• Think big / build small
• Minimal administration
• Online help documentation

7
Current IIMS Features

• Empirical Data Clearinghouse
• Document Library
• Photo Library
• Realty and ROE database
• Flow Scheduler
• Reports
• NWIS Data retrieval application

8
Datasets
9
Original Timeline
10
Revised Timeline
Time Series Analyst
11
Upcoming Features GIS Interface
12
Upcoming Features Time Series Analyst
Tools and Advanced Options
Multiple Plot Types
Summary Statistics and Plot Options
Station and Variable Selection
Date Range Restriction
13
Time Series Analyst Data Variations
14
Time Series Analyst Parameter Summary Plots
Number of Observations for each variable
Time Distribution of Observations for Each
Variable
15
Time Series Analyst
Correlation Plots
Multiple Time Series Plots
16
Questions?

• www.trrp.net