Ling M, Johnson J (2005) Improve hydrocarbon contamination assessment and conceptualization using visual imagery technology and LIF data. In: Proceedings of the national petrochemical and refiners association (NPRA), Environmental Conference Jonshson J, Ling M, Maldonato T (2004) Application of computer visual technology to improve site characterization and remediation. In: Proceedings of the 2005 NGWA ground water and environmental law conference, pp 177–186 Johnson J, Ling M (2005) Applying visual technology to document multiple release locations and migration pathways of NAPL. Isaaks EH, Srivastava RM (1989) An introduction to applied geostatistics. Helbig C, Bauer H-S, Rink K, Wulfmeyer V, Frank M, Kolditz O (2014) Concept and workflow for 3D visualization of atmospheric data in a virtual reality environment for analytical approaches. Harding C, Kakadiaris IA, Casey JF, Loftin RB (2001) A multi-sensory system for the investigation of geoscientific data. George RLSF, Robins PE, Davies AG, Ritsos PD, Roberts JC (2014) Interactive visual analytics of Hydrodynamic Flux for the Coastal zone. Gemail KMS (2012) Monitoring of wastewater percolation in unsaturated sandy soil using geoelectrical measurements at Gabal el Asfar farm, northeast Cairo, Egypt.
#ENVIRONMENTAL VISUALIZATION SOFTWARE#
In: Symposium on research frontiers in virtual reality, IEEE, pp 59–66ĭeutsch CV, Journel AG (1992) GSLIB: geostatistical software library and user’s guide. In: Proceedings of the NGWA ground water and environmental law conference, pp 1–14Ĭruz-Neira C, Leigh J, Parka M, Barnes C, Cohen SM et al (1993) Scientists in wonderland: a report on visualization applications in the cave virtual reality environment. Environ Modeling Softw 20(12):1459–1468Ĭross B, Rogoff E (2005) Data visualization tools for litigation practical uses and ethical considerations. University of Wisconsin Press, Madisonīishop ID, Hull RB, Stock C (2005) Supporting personal world-views in an envisioning system. John Wiley and Sons, New Yorkīertin J (1967) Semiology of graphics: diagrams, networks, maps. In: Proceedings of visualization, IEEE, pp 421–424īatu V (1998) Aquifer hydraulics: a comprehensive guide to hydrogeologic data analysis. These visualizations can be converted to animations for display or graphics suitable for publishing.Banks DC, Hamann B, Tsai PY, Moorhead R, Barlow J (1996) Data reduction and interpolation for visualizing 3d soil-quality data. Sophisticated visualization hardware and software support high-end, R&D visualization computing, providing the ideal technology for projects such as modeling the human respiratory system or wind flow through an urban landscape. In FY 2021, projects were allocated around 30 million CPU hours. Projects are allocated time on the HPC system through an annual review process. The main server that provides high-end scientific computing resource for Vis/HPC projects and models is the HPC system Atmos.Ĭompute time on Atmos is shared by EPA scientists and researchers. The primary applications are atmospheric modeling, computational fluid dynamics, computational chemistry, and statistical modeling. This enables quick and easy access to the resources needed for a variety of research, including work on the General Coastal Ecosystem Model (GCEM) and the Community Multiscale Air Quality Model (CMAQ) - a powerful computational tool used by EPA and states for air quality management. High Performance Computing (HPC) provides the infrastructure, software and technical support for EPA researchers and scientists to run their own compute jobs on EPA HPC machines.
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