Evaluation of an inverse modelling methodology for the prediction of a stationary point pollutant source in complex urban environments

George C. Efthimiou, Ivan V. Kovalets, Christos D. Argyropoulos, Alexandros Venetsanos, Spyros Andronopoulos, Konstantinos Kakosimos

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The estimation of a hazardous contaminant unknown source characteristics (i.e., rate and location) in a complex urban environment using efficient inverse modelling techniques is a challenging problem that involves advanced computational fluid dynamics combined with appropriate mathematical algorithms. In this paper we further assess our recently proposed inverse source term estimation method (Efthimiou et al., 2017, Atmos. Environ., 170, 118–129) by applying it in two wind tunnel experiments simulating atmospheric flow and tracer dispersion following a stationary release in realistic urban settings, namely Michelstadt and Complex Urban Terrain Experiment (CUTE). The method appears to be robust and to predict with encouraging accuracy the source location and emission rate for both wind tunnel experiments.

Original languageEnglish
Pages (from-to)107-119
Number of pages13
JournalBuilding and Environment
Volume143
DOIs
Publication statusPublished - 1 Oct 2018

    Fingerprint

Keywords

  • ADREA-HF
  • CFD
  • Inverse modelling
  • Source inversion
  • Source term estimation
  • Urban environment

ASJC Scopus subject areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Building and Construction

Cite this