TY - GEN
T1 - Improving predictions for water spills using DDDAS
AU - Douglas, Craig C.
AU - Dostert, Paul
AU - Efendiev, Yalchin
AU - Ewing, Richard E.
AU - Li, Deng
PY - 2008
Y1 - 2008
N2 - In dynamic data driven application systems, the predictions are improved based on measurements obtained in time. Predicted quantity often satisfies differential equation models with unknown initial conditions and source terms. A physical example of the problem we are attempting to solve is a major waste spill near a body of water. This can be, for example, near an aquifer, or possibly in a river or bay. Sensors can be used to measure where the contaminant was spilled, where it is, and where it will go. In this paper, we propose techniques for improving predictions by estimating initial conditions and source terms. We show how well we can solve the problem for a variety of data-driven models.
AB - In dynamic data driven application systems, the predictions are improved based on measurements obtained in time. Predicted quantity often satisfies differential equation models with unknown initial conditions and source terms. A physical example of the problem we are attempting to solve is a major waste spill near a body of water. This can be, for example, near an aquifer, or possibly in a river or bay. Sensors can be used to measure where the contaminant was spilled, where it is, and where it will go. In this paper, we propose techniques for improving predictions by estimating initial conditions and source terms. We show how well we can solve the problem for a variety of data-driven models.
UR - http://www.scopus.com/inward/record.url?scp=51049097275&partnerID=8YFLogxK
U2 - 10.1109/IPDPS.2008.4536410
DO - 10.1109/IPDPS.2008.4536410
M3 - Conference contribution
AN - SCOPUS:51049097275
SN - 9781424416943
T3 - IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
BT - IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
T2 - IPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium
Y2 - 14 April 2008 through 18 April 2008
ER -