TY - GEN
T1 - DDDAS predictions for water spills
AU - Douglas, Craig C.
AU - Dostert, Paul
AU - Efendiev, Yalchin
AU - Ewing, Richard E.
AU - Li, Deng
AU - Lodder, Robert A.
PY - 2008
Y1 - 2008
N2 - Time based observations are the linchpin of improving predictions in any dynamic data driven application systems. Our predictions are based on solutions to differential equation models with unknown initial conditions and source terms. In this paper we want to simulate a waste spill by a water body, such as near an aquifer or in a river or bay. We employ sensors that can determine the contaminant spill location, where it is at a given time, and where it will go. We estimate initial conditions and source terms using better and new techniques, which improves predictions for a variety of data-driven models.
AB - Time based observations are the linchpin of improving predictions in any dynamic data driven application systems. Our predictions are based on solutions to differential equation models with unknown initial conditions and source terms. In this paper we want to simulate a waste spill by a water body, such as near an aquifer or in a river or bay. We employ sensors that can determine the contaminant spill location, where it is at a given time, and where it will go. We estimate initial conditions and source terms using better and new techniques, which improves predictions for a variety of data-driven models.
UR - https://www.scopus.com/pages/publications/47749084744
UR - https://www.scopus.com/pages/publications/47749084744#tab=citedBy
U2 - 10.1007/978-3-540-69389-5_8
DO - 10.1007/978-3-540-69389-5_8
M3 - Conference contribution
AN - SCOPUS:47749084744
SN - 3540693882
SN - 9783540693888
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 54
EP - 63
BT - Computational Science - ICCS 2008 - 8th International Conference, Proceedings
T2 - 8th International Conference on Computational Science, ICCS 2008
Y2 - 23 June 2008 through 25 June 2008
ER -