Estimation of single ship emission location and intensity inversion in port water

Conference paper (2019)

Authors

Xin Peng Wuhan University of Technology
Changshi Xiao Wuhan University of Technology
Fan Zhang Wuhan University of Technology
Yuanqiao Wen Wuhan University of Technology
L. Huang Wuhan University of Technology
Chunhui Zhou Wuhan University of Technology
Haiwen Yuan Wuhan University of Technology
Y. Zhang Wuhan University of Technology
Affiliation
External organisation
Atmospheric dispersion Ship emissions GA(Genetic Algorithm) Inversion calculation
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Published Date

2019

Language

English

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Affiliation

External organisation

Abstract

The special SOX Emission Control Areas (ECAs) had been established to reduce pollution in coastal region. Real-time ship emissions monitoring should be strengthened in SECA. The mainstream remote measurements of gas concentrations are the optical or sniffer monitoring methods. Exhaust emissions location and intensity could not be acquired by methods of remote measurements. Based on monitoring multiple sensors, this paper presents a new inversion method for characteristics of single ship emissions. The Gaussian plume diffusion model (GPDM) and Genetic Algorithm (GA) to calculate the position and concentration of single ship emissions. Simultaneous measurements of CO2, SO2 and NOX concentrations can be achieved by several monitoring stations on the wharf. Multiple solutions of the ship emissions location and intensity have been calculated by the selection, crossover and mutation of GA. As parameters of Gaussian plume diffusion model, those solutions are employed to calculate the gas concentrations on the location of the monitoring stations. The optimal one can be acquired by comparing the measurement and the calculation. The presented algorithm is verified by the real practice for Yantian harbor in Shenzhen.