Identification of strength and location of stationary point source of atmospheric pollutant in urban conditions using computational fluid dynamics model

DOI10.1016/j.matcom.2011.07.002zbMath1236.92068OpenAlexW1988490326WikidataQ57736817 ScholiaQ57736817MaRDI QIDQ413904

Ivan V. Kovalets, Spyros Andronopoulos, Alexander G. Venetsanos, John G. Bartzis

Publication date: 8 May 2012

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2011.07.002

zbMATH Keywords

inverse problemdata assimilationCFD modelhazardous pollutantsurban atmospheric dispersion

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic models, generic numerical methods in probability and statistics (65C20) Ecology (92D40) Basic methods in fluid mechanics (76M99) Computational methods for problems pertaining to biology (92-08)

Related Items (1)

Kriging-enhanced ensemble variational data assimilation for scalar-source identification in turbulent environments

Cites Work

• Improvement of source and wind field input of atmospheric dispersion model by assimilation of concentration measurements: method and applications in idealized settings
• Inverse Problem Theory and Methods for Model Parameter Estimation
• Dynamic Data Assimilation
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Identification of strength and location of stationary point source of atmospheric pollutant in urban conditions using computational fluid dynamics model