Spatiotemporal Evolution Analysis of NO 2 Column Density before and after COVID-19 Pandemic in Henan Province Based on SI-APSTE Model Yang Liu Henan University Jinhuan Zhao Henan University Kunlin Song Beijing Institute of Technology Cheng Cheng Henan University Shenshen Li Chinese Academy of Sciences Kun Cai (
[email protected] ) Henan University Research Article Keywords: Swarm Intelligence based Air Pollution SpatioTemporal Evolution (SI-APSTE), air pollution Posted Date: April 16th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-403101/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Spatiotemporal Evolution Analysis of NO2 Column Density before and after COVID-19 Pandemic in Henan Province Based on SI-APSTE Model Yang Liu 1 , Jinhuan Zhao1, Kunlin Song3, Cheng Cheng1, Shenshen Li2 , Kun Cai1 1Henan Engineering Laboratory of Spatial Information Processing, Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng 475004, PR China 2State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, PR China 3School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, PR China corresponding.author: K. Cai (
[email protected]), S. Li (
[email protected]), Y. Liu (
[email protected]) Abstract Air pollution is the result of comprehensive evolution of a dynamic and complex system composed of emission sources, topography, meteorology and other environmental factors. The establishment of spatiotemporal evolution model is of great significance for the study of air pollution mechanism, trend prediction, identification of pollution sources and pollution control.