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Journal of System Simulation

Abstract

Abstract: Volatile organic compounds (VOCs) emissions in different regions are correlated and influenced. In order to minimize the impact of VOCs on the atmospheric environment and achieve synergistic governance of VOCs regions, an optimal emission reduction model is established with the maximum VOCs emission reduction as the primary goal. An improved SEIRS infectious disease dynamics optimization algorithm considering environmental pollution(SEIRS-CE) is proposed and the model is solved in cloud environment. Taking Xi'an city as an example, the SEIRS-CE algorithm is used in Ali cloud server to calculate the emission reduction of VOCs associated with 13 meteorological monitoring stations in Xi 'an city and compared with the traditional intelligent optimization algorithm. The results show that the established VOCs optimal emission reduction model is scientific and feasible. Compared with the contrast algorithm, the SEIRS-CE algorithm in cloud environment can solve the VOCs optimal emission reduction problem with faster convergence speed, higher solution accuracy, lower probability of falling into local trap, with high concurrency, high security, high sharing, and provide reference for the joint prevention and control of VOCs among the government.

First Page

632

Revised Date

2021-12-30

Last Page

645

CLC

TP301.6

Recommended Citation

Guangqiu Huang, Xixuan Zhao, Qiuqin Lu. Calculation of Optimal VOCs Emission Reduction Based on Improved SEIRS Model in Cloud Environment[J]. Journal of System Simulation, 2023, 35(3): 632-645.

DOI

10.16182/j.issn1004731x.joss.21-1177

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