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Full-Text Articles in Computer Engineering
Back-End Science Model Integration For Ecological Risk Assessment, Tao Hong, Chancellor Pascale, Jonathan Flaishans, Marcia Snyder, S. Thomas Purucker
Back-End Science Model Integration For Ecological Risk Assessment, Tao Hong, Chancellor Pascale, Jonathan Flaishans, Marcia Snyder, S. Thomas Purucker
International Congress on Environmental Modelling and Software
The U.S. Environmental Protection Agency (USEPA) relies on a number of ecological risk assessment models that have been developed over 30-plus years of regulating pesticide exposure and risks under Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Endangered Species Act. Since computing technology have changed dramatically over this time period, constituent legacy models often contain algorithms based on source code with defunct dependencies and/or have been integrated with graphical user interface elements no longer compatible with current operating systems. Model migration to modern web applications creates integration challenges for back-end science model code residing on a server. An example …
Alces Online: Web-Delivered Scenario Analysis To Inform Sustainable Land-Use Decisions, Matthew Carlson, Brad Stelfox, Noah Purves-Smith, Justin Straker, Shanti Berryman, Tim Barker, Barry Wilson
Alces Online: Web-Delivered Scenario Analysis To Inform Sustainable Land-Use Decisions, Matthew Carlson, Brad Stelfox, Noah Purves-Smith, Justin Straker, Shanti Berryman, Tim Barker, Barry Wilson
International Congress on Environmental Modelling and Software
Simulation models are yet to reach their potential to inform environmental sustainability, in part due to inaccessibility. ALCES Online (www.online.alces.ca) addresses this deficiency through web-delivery of high quality scenario analysis to individuals lacking a modeling background. The simulator is available for the province of Alberta, Canada, and efforts are underway to create versions for additional jurisdictions. The underlying scenario analysis is holistic through incorporation of a diverse set of drivers and indicators. Simulated land uses include energy, agriculture, mining, forestry, and human settlements; natural drivers such as fire are also included. Environmental and socioeconomic consequences are conveyed by tracking indicators …