Spatial Distribution of China’s Industrial Output Values under Global Warming Scenarios RCP4.5 and RCP8.5
Bibliographic Data
| ID | 22034227 |
|---|---|
| Authors | Qian Xue (0000-0002-8462-1271, Chinese Academy of Sciences), Wei Song (0000-0002-5888-3657, Chinese Academy of Sciences, corresponding author) |
| Year | 2020 |
| Volume | 9 |
| Issue | 12 |
| Pages | 724 |
| Publication date | 2020-12-04 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi9120724 |
| OpenAlex | W3107270535 |
| Language | EN |
| References cited | 30 |
Climatic changes significantly impact the socio-economic system. Compared with research on the impacts of climate change on the agricultural economic system, researches on the impacts on the industrial economic system are still scarce. This is mainly because of the difficulties in matching climate data with socio-economic data in terms of spatiotemporal resolution, which has greatly limited the exposure degree assessment and the risk assessment of industrial economic systems. In view of this, based on remote sensing inversion and multi-source data fusion, we generated kilometer-grid data of China’s industrial output in 2010 and built the spatial distribution model of industrial output, based on random forest, to simulate the spatial distribution of China’s industrial output under different climate change scenarios. The results showed that (1) our built spatial distribution simulation model of China’s industrial output under different climate change scenarios had an accuracy of up to 93.77%; (2) from 2010 to 2050, the total growth of China’s industrial output under scenario RCP8.5 is estimated to be 4.797% higher than that under scenario RCP4.5; and (3) the increasing rate of the average annual growth rate of China’s industrial output slows down significantly under both scenarios from 2030 to 2050, and the average annual growth rate will decrease by 7.31 and 6.54%, respectively, under scenarios RCP8.5 and RCP4.5 compared with that from 2010 to 2020
China · Climate change · Climate model · Climatology · Common spatial pattern · Geography · Global warming · Remote sensing · Representative Concentration Pathways · Spatial distribution · Statistics · Climate change impacts on agriculture · Climate variability and models · Environmental Science · Land Use and Ecosystem Services · Mathematics
Land-use/land-cover change and ecosystem service provision in China
Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS
The RCP greenhouse gas concentrations and their extensions from 1765 to 2300
Climate extremes indices in the CMIP5 multimodel ensemble
The effects of China's cultivated land balance program on potential land productivity at a national scale
Spatial patterns and driving forces of land use change in China during the early 21st century
Smooth Pycnophylactic Interpolation for Geographical Regions
Rcp4.5
| Highly cited | No |
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