TY - GEN
T1 - Parameter estimation of atmospheric release incidents using maximal information collection
AU - Madankan, Reza
AU - Singla, Puneet
AU - Singh, Tarunraj
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - The effects of data measurement on source parameter estimation are studied. The concept of mutual information is applied to find the optimal location for each sensor to improve accuracy of the overall estimation process. For validation purposes, an advection - diffusion simulation code, called SCIPUFF, is used as a modeling testbed to study the effects of using dynamic data measurement. Bayesian inference framework is utilized for model-data fusion using stationary and mobile sensor networks, where in mobile sensors, the proposed approach is used to locate data observation sensors. As our numerical simulations show, using the proposed approach leads to a considerably better estimate of parameters comparing with stationary sensors.
AB - The effects of data measurement on source parameter estimation are studied. The concept of mutual information is applied to find the optimal location for each sensor to improve accuracy of the overall estimation process. For validation purposes, an advection - diffusion simulation code, called SCIPUFF, is used as a modeling testbed to study the effects of using dynamic data measurement. Bayesian inference framework is utilized for model-data fusion using stationary and mobile sensor networks, where in mobile sensors, the proposed approach is used to locate data observation sensors. As our numerical simulations show, using the proposed approach leads to a considerably better estimate of parameters comparing with stationary sensors.
UR - http://www.scopus.com/inward/record.url?scp=84951766554&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951766554&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-25138-7_28
DO - 10.1007/978-3-319-25138-7_28
M3 - Conference contribution
AN - SCOPUS:84951766554
SN - 9783319251370
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 310
EP - 321
BT - Dynamic Data-Driven Environmental Systems Science - 1st International Conference, DyDESS 2014, Revised Selected Papers
A2 - Sandu, Adrian
A2 - Ravela, Sai
PB - Springer Verlag
T2 - 1st International Conference on Dynamic Data-Driven Environmental Systems Science, DyDESS 2014
Y2 - 5 November 2014 through 7 November 2014
ER -