Identifying the Combined Impacts of Sensor Quantity and Location Distribution on Source Inversion Optimization

Identifying the Combined Impacts of Sensor Quantity and Location Distribution on Source Inversion Optimization

Source inversion optimization using sensor observations is a key method for rapidly and accurately identifying unknown source parameters (source strength and location) in abrupt hazardous gas leaks. Sensor number and location distribution both play important roles in source inversion; however, their...

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Bibliographic Details
Main Authors: Shushuai Mao, Jianlei Lang, Feng Hu, Xiaoqi Wang, Kai Wang, Guiqin Zhang, Feiyong Chen, Tian Chen, Shuiyuan Cheng
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Atmosphere
Subjects:
source term estimation
optimization inversion
sensor layout
atmospheric dispersion
emergency response
abrupt air pollution accidents
Online Access:https://www.mdpi.com/2073-4433/16/7/850
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