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Alberta Data
Automation for
Environmental
Modelling (ADAEM)
Chiadih Chang, Ph.D., P.Eng., GISP
Modelling Integration Team Lead
Alberta Environment and Parks
&
William Tober
FME Developer/GIS Analyst
Martin Newby Consulting Ltd. (MNC)
PRESENTATION AGENDA
- Introduction
- Objective
- Approach
- Benefits & Lesson Learned
- Summary
Introduction
What is a Model?
Source: DHI
• Human construct to help
us better understand real
world systems.
• Substitute for a real
system.
• Represents some aspect
of a real system.
Why Does Modelling Matter?
● Answer “what-if” questions.
● Understand complexities of our world.
● Support development and evaluation of
science-based policies.
● Explore effective measures for environmental
management and risk mitigation.
Challenges in Data
Preparation for Modelling
● Compiling different datasets (including spatial
and temporal data) from various data sources
in different formats.
● Pre-processing of data into various formats to
input into environmental models.
● Post-processing of output data from a model
into various formats to input into other models.
● Time-consuming, labor-intensive, repetitive,
and error-prone if done manually.
Objective
Objective of ADAEM
● A GIS-enabled, web-
based portal.
● Integrating various FME
workspaces with the
Alberta Modelling Expert
System (MES) of AEP.
● Supporting data needs for
environmental modelling.
MES
Metadata Catalogue
of Modelling Tools
Metadata Catalogue of
Monitoring Stations
Repository of Completed
Modelling Projects
New!
Alberta Data Automation
for Environmental
Modelling (ADAEM)
Approach
Select a Model and
Specify a
Geographic Area
Supported Models:
• MIKE SHE
• WRMM
• MARXAN
• SCICHEM
• SWAT
Automation of
• Data Extraction
• Data Transformation
• Data Loading
Formatted
Model
READY
Data
Enterprise Spatial and
Non-Spatial Data
Systems (e.g., EDW,
WISKI, GENESIS, etc.)
Main Processes of ADAEM
Main Processes of ADAEM (cont’d)
Enterprise Spatial and Non-
Spatial Data Systems (e.g.,
EDW, WISKI, GENESIS,
ArcGIS Online, etc.)
FME Workspace for Model #1
(e.g., MIKE SHE)
Run Model #1
(e.g., MIKE SHE)
FME Workspace for Model #2
(e.g., WRMM)
Run Model #2
(e.g., WRMM)
MES
FME Workspace for Model #X Run Model #X
System Diagram of ADAEM
Maintainability
Parameter driven web code.
No website code changes
required to bring additional
models online.
Large Dataset Performance
Leverage SQL where clause
when reading large datasets
Leverage Feature Reader
when reading large file based
repositories
Data Download Service
Customized Data Download
by using File Copy Writer to
bundle multiple outputs
Notification Service
User receives an Email (Success or Failure):
Benefits & Lessons Learned
Benefits of ADAEM
• Time and money saving for preparing
data input required by environmental
models.
• Eliminating duplicate, repetitive,
laborious, and error-prone manual work
related to preparing modelling input data.
• Promoting modelling data sharing and
consistency.
Lessons Learned
• Building in-house capacity is essential
for long-term tools sustainability.
• Engaging, communicating, and
building good working relationships
with Sector-based IM/T is important.
• Involving multidisciplinary teams is
critical.
• Forming collaborative partnerships is a
big gain, e.g., AER.
Summary
ADAEM Looks into the Future…
Integration
Collaboration
Innovation
ADAEM Makes a Difference!
without ADAEM versus with ADAEM
Stressful and frustrated staff due
to laborious, repetitive,
inconsistent, time-consuming, and
error-prone manual work related to
environmental modelling.
Happy and productive staff who are
making more meaningful
environmental modelling contributions
to support informed resource
management decisions in Alberta.
Questions?
THANK YOU!
Contact: Chiadih.Chang @ gov.ab.ca
780-427-0123

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Alberta Data Automation for Environmental Models (ADAEM)

  • 1. Alberta Data Automation for Environmental Modelling (ADAEM) Chiadih Chang, Ph.D., P.Eng., GISP Modelling Integration Team Lead Alberta Environment and Parks & William Tober FME Developer/GIS Analyst Martin Newby Consulting Ltd. (MNC)
  • 2. PRESENTATION AGENDA - Introduction - Objective - Approach - Benefits & Lesson Learned - Summary
  • 4. What is a Model? Source: DHI • Human construct to help us better understand real world systems. • Substitute for a real system. • Represents some aspect of a real system.
  • 5. Why Does Modelling Matter? ● Answer “what-if” questions. ● Understand complexities of our world. ● Support development and evaluation of science-based policies. ● Explore effective measures for environmental management and risk mitigation.
  • 6. Challenges in Data Preparation for Modelling ● Compiling different datasets (including spatial and temporal data) from various data sources in different formats. ● Pre-processing of data into various formats to input into environmental models. ● Post-processing of output data from a model into various formats to input into other models. ● Time-consuming, labor-intensive, repetitive, and error-prone if done manually.
  • 8. Objective of ADAEM ● A GIS-enabled, web- based portal. ● Integrating various FME workspaces with the Alberta Modelling Expert System (MES) of AEP. ● Supporting data needs for environmental modelling. MES Metadata Catalogue of Modelling Tools Metadata Catalogue of Monitoring Stations Repository of Completed Modelling Projects New! Alberta Data Automation for Environmental Modelling (ADAEM)
  • 10. Select a Model and Specify a Geographic Area Supported Models: • MIKE SHE • WRMM • MARXAN • SCICHEM • SWAT Automation of • Data Extraction • Data Transformation • Data Loading Formatted Model READY Data Enterprise Spatial and Non-Spatial Data Systems (e.g., EDW, WISKI, GENESIS, etc.) Main Processes of ADAEM
  • 11. Main Processes of ADAEM (cont’d) Enterprise Spatial and Non- Spatial Data Systems (e.g., EDW, WISKI, GENESIS, ArcGIS Online, etc.) FME Workspace for Model #1 (e.g., MIKE SHE) Run Model #1 (e.g., MIKE SHE) FME Workspace for Model #2 (e.g., WRMM) Run Model #2 (e.g., WRMM) MES FME Workspace for Model #X Run Model #X
  • 13. Maintainability Parameter driven web code. No website code changes required to bring additional models online.
  • 14. Large Dataset Performance Leverage SQL where clause when reading large datasets Leverage Feature Reader when reading large file based repositories
  • 15. Data Download Service Customized Data Download by using File Copy Writer to bundle multiple outputs
  • 16. Notification Service User receives an Email (Success or Failure):
  • 18. Benefits of ADAEM • Time and money saving for preparing data input required by environmental models. • Eliminating duplicate, repetitive, laborious, and error-prone manual work related to preparing modelling input data. • Promoting modelling data sharing and consistency.
  • 19. Lessons Learned • Building in-house capacity is essential for long-term tools sustainability. • Engaging, communicating, and building good working relationships with Sector-based IM/T is important. • Involving multidisciplinary teams is critical. • Forming collaborative partnerships is a big gain, e.g., AER.
  • 21. ADAEM Looks into the Future… Integration Collaboration Innovation
  • 22. ADAEM Makes a Difference! without ADAEM versus with ADAEM Stressful and frustrated staff due to laborious, repetitive, inconsistent, time-consuming, and error-prone manual work related to environmental modelling. Happy and productive staff who are making more meaningful environmental modelling contributions to support informed resource management decisions in Alberta.
  • 24. THANK YOU! Contact: Chiadih.Chang @ gov.ab.ca 780-427-0123

Editor's Notes

  1. Edit the control or orchestration workspace parameters to bring another model online. E.g. MODEL1
  2. When the process involves multiple child workspaces this trick helps with bundling data download items.