Abstract
Industrial heat sources have made a great contribution to Chinese economic development. However, it has also been found that emissions from industrial heat sources are the main contribution to regional air pollution. Therefore, the detection of industrial heat sources and the expression of related information is becoming important. In this paper, the detection of industrial heat sources was used to express industrial information, thus that the accuracy of the detection of industrial thermal anomalies could be improved and the problems of noise and missing parameters addressed. A model for expressing industrial information based on object-oriented industrial heat sources and using multi-source thermal anomaly data in China was, therefore, proposed. It was a new real-time, objective, and real way to describe the production operation status of industrial heat sources on a large-scale area. First, 4340 working industrial heat sources in mainland China were detected by applying an adaptive k-means algorithm to ACF (NPP VIIRS 375-m active fire/hotspot data) data from the period 19 January 2012 to 31 December 2020. Secondly, several features of working industrial heat sources were extracted from NPP VIIRS 375-m active fire/hotspot data (ACF), VIIRS Nightfire data (VNF), and the Fires product based on Landsat-8 AIRCAS (L8F) data. Areas containing working industrial heat sources were then identified based on these different types of fire data. Light, land-surface temperature, and CO2 and N2O emissions data related to the working industrial heat sources were also extracted. The results show that feature parameters extracted from the multi-source thermal anomaly data mostly have a good positive correlation with the other parameters.
Highlights
Academic Editors: Francesco Marchese, Nicola Genzano, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; China School of Information, Beijing Forestry University, Beijing 100083, China
4340 working industrial heat sources in mainland China were detected by applying an adaptive k-means algorithm to active fire/hotspot data (ACF) data acquired between 19 January 2012 and 31 December 2020
Several features associated with working industrial heat sources were extracted using NPP VIIRS
Summary
Academic Editors: Francesco Marchese, Nicola Genzano, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; China School of Information, Beijing Forestry University, Beijing 100083, China. The term ‘industrial heat source’ refers to factories and plants that are engaged in the combustion of fossil fuels and that are sources of heat emissions These include factories where smelting and rolling of non-ferrous metals are carried out, cement plants, oil refineries and exploration fields, and chemical processing plants [1,2,3]. Research based on satellite remote sensing data found that industrial heat sources were the main cause of regional air pollution and man-made CO2 emissions [4,5]. It is, necessary to have near real-time monitoring data on the spatial layout of Chinese industrial heat sources and their heat emissions to support environmental monitoring and decision making
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