Dynamically Identifying and Tracking Contaminants in Water Bodies

  • Authors:

  • Craig C. Douglas;Martin J. Cole;Paul Dostert;Yalchin Efendiev;Richard E. Ewing;Gundolf Haase;Jay Hatcher;Mohamed Iskandarani;Chris R. Johnson;Robert A. Lodder

  • Affiliations:

  • University of Kentucky, Department of Computer Science, 773 Anderson Hall, Lexington, KY 40506-0046, USA and Yale University, Department of Computer Science, P.O. Box 208285, New Haven, CT 06520-8 ...;University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT 84112, USA;Texas A&M University, Institute for Scientific Computation, 612 Blocker, 3404 TAMU, College Station, TX 77843-3404, USA;Texas A&M University, Institute for Scientific Computation, 612 Blocker, 3404 TAMU, College Station, TX 77843-3404, USA;Texas A&M University, Institute for Scientific Computation, 612 Blocker, 3404 TAMU, College Station, TX 77843-3404, USA;Karl-Franzens University of Graz, Mathematics and Computational Sciences, A-8010 Graz, Austria;University of Kentucky, Department of Computer Science, 773 Anderson Hall, Lexington, KY 40506-0046, USA;University of Miami, Rosenstiel School of Marine and Atmospheric Science, 4600 Rickenbacker Causeway, Miami, FL 33149-1098, USA;University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT 84112, USA;University of Kentucky, Department of Chemistry, Lexington, KY, 40506-0055, USA

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
  • Year:
  • 2007

Quantified Score

Hi-index 0.01

Visualization

Abstract

We present an overview of an ongoing project to build a DDDAS for identifying and tracking chemicals in water. The project involves a new class of intelligent sensor, building a library to optically identify molecules, communication techniques for moving objects, and a problem solving environment. We are developing an innovative environment so that we can create a symbiotic relationship between computational models for contaminant identification and tracking in water bodies and a new instrument, the Solid-State Spectral Imager (SSSI), to gather hydrological and geological data and to perform chemical analyses. The SSSI is both small and light and can scan ranges of up to about 10 meters. It can easily be used with remote sensing applications.