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A platform for research: civil engineering, architecture and urbanism
The impact of sensor layout on Source Term Estimation in urban neighborhood
Abstract The layout of sensors in urban neighborhood has a great impact on the Source Term Estimation (STE) of dangerous or polluting gas leak sources. In this study, the effect of sensor layout on STE performance is analyzed using Computational Fluid Dynamics (CFD) approaches, and the best layout of sensors in the urban neighborhood is determined. The influence of source location and the border effect of measuring points on the performance of STE are analyzed. Results show that placing average two sensors around each building is the best sensor configuration for identifying source location parameters. Regarding the source intensity, no sensor configuration with obvious advantages has been observed. As the distance between pollutants and the city increases, the difficulty of STE increases. The result of STE is slightly more accurate and the posterior distribution is more concentrated after considering the border effect of measuring point.
Highlights The effect of sensor layout on the Source Term Estimation performance is analyzed using Computational Fluid Dynamics approaches. The best layout of sensors in the urban neighborhood is determined. The influence of source location and the border effect on the performance of Source Term Estimation are analyzed.
The impact of sensor layout on Source Term Estimation in urban neighborhood
Abstract The layout of sensors in urban neighborhood has a great impact on the Source Term Estimation (STE) of dangerous or polluting gas leak sources. In this study, the effect of sensor layout on STE performance is analyzed using Computational Fluid Dynamics (CFD) approaches, and the best layout of sensors in the urban neighborhood is determined. The influence of source location and the border effect of measuring points on the performance of STE are analyzed. Results show that placing average two sensors around each building is the best sensor configuration for identifying source location parameters. Regarding the source intensity, no sensor configuration with obvious advantages has been observed. As the distance between pollutants and the city increases, the difficulty of STE increases. The result of STE is slightly more accurate and the posterior distribution is more concentrated after considering the border effect of measuring point.
Highlights The effect of sensor layout on the Source Term Estimation performance is analyzed using Computational Fluid Dynamics approaches. The best layout of sensors in the urban neighborhood is determined. The influence of source location and the border effect on the performance of Source Term Estimation are analyzed.
The impact of sensor layout on Source Term Estimation in urban neighborhood
Liu, Zhenzhe (author) / Li, Xiaofeng (author)
Building and Environment ; 213
2022-01-30
Article (Journal)
Electronic Resource
English
Nature's Neighborhood: Urban Environmental History and Neighborhood Planning
| Online Contents | 2002
Nature's Neighborhood: Urban Environmental History and Neighborhood Planning
| Taylor & Francis Verlag | 2002