MODEL DEVELOPMENT

Tetra Tech's Research and Development Division is recognized nationally for developing numerical predictive models used in the investigation of complex environmental problems. Some of Tetra Tech's state-of-the-art models are listed below.

  • ATM Predicts toxicity to fish of contaminants in aquatic environments.

  • CML-DPM Models the fate of parent chemical compounds and their breakdown products in groundwater

  • ECOSIM provides a graphical user interface to hydrology models for the Sacramento Valley . Developed for U.S. Fish and Wildlife Service

  • EMAGIS Manages, analyzes and graphically displays environmental site data.

  • GLOCO Predicts global carbon cycling processes.

  • G-MCM Predicts global cycling processes for mercury.

  • GWPS computes chemical-specific standards based on historical groundwater monitoring data at any specific location based on statistical protocol of state of West Virginia

  • ILWAS Predicts lake and watershed acidification from atmospheric deposition processes.

  • LARK-TRIPP provides EPRI member utilities with a toxic chemical release estimation tool for atmospheric emissions and land-based loads from coal-fired power plants

  • MANAGES Powerful, yet easy to use software for organizing, storing, and analyzing groundwater monitoring data

  • MCM Predicts fate and transport of mercury in biogeochemical processes in lakes and reservoirs.

  • MOSES Predicts the surface and groundwater transport of mineral oil spills

  • MYGRT Predicts groundwater solute fate and transport

  • NuCM Evaluates biogeochemical nutrient cycling in a forest environment

  • R-MCM Evaluates lake or reservoir biochemical mercury cycling on a regional basis

  • RIVRISK Assesses potential human health and ecological risks from power, chemical, or industrial plant releases of contaminants to rivers.

  • ROAM Provides assessment of remediation options for contaminants in groundwater.

  • WasteWorks'98 Wet liquid processing provides an accurate tool for use when evaluating liquid rad waste processing costs and fundamental system performance

 

 

 


Last edited:  January 11, 2001