Regional Sustainability ›› 2022, Vol. 3 ›› Issue (1): 1-11.doi: 10.1016/j.regsus.2022.03.002
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HE Jianjiana, ZHANG Pengyanb,*()
Received:
2021-10-01
Revised:
2022-02-10
Accepted:
2022-03-21
Published:
2022-03-30
Online:
2022-05-13
Contact:
ZHANG Pengyan
E-mail:pengyanzh@126.com
HE Jianjian, ZHANG Pengyan. Evaluation of carbon emissions associated with land use and cover change in Zhengzhou City of China[J]. Regional Sustainability, 2022, 3(1): 1-11.
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Table 2
Carbon emission coefficients and carbon emission conversion factors of energy consumption (IPCC, 2013)."
Fuel type | Energy carbon emission coefficient (×103 t CO2/(×1012 J)) | Conversion factor | Energy combustion quality (×103 t) |
---|---|---|---|
Crude coal | 94.600 | 0.7143 tce/t | 47.829 |
Coke | 107.000 | 0.9714 tce/t | 35.168 |
Crude oil | 73.300 | 1.4286 tce/t | 23.914 |
Diesel | 74.100 | 1.4571 tce/t | 23.446 |
Kerosene | 71.900 | 1.4714 tce/t | 23.218 |
Gasoline | 69.300 | 1.4714 tce/t | 23.218 |
Fuel oil | 77.400 | 1.4286 tce/t | 23.914 |
Natural gas | 56.100 | 1.3300 tce/(×103 m3) | 25.686 |
Fig. 3.
Spatial distribution of the gradient belts of different LULC types in Zhengzhou City in 1988 (a), 2001 (b), 2009 (c), and 2015 (d). There were 20 quadrants in the south-north (SN) gradient belt and 41 quadrants in the west-east (WE) gradient belt. Carbon emissions were calculated in each quadrant in the SN and WE gradient belts."
Table 3
Pearson correlation coefficients between the carbon emission niches of the three spaces and the influencing factors."
Space | Population size | Per capita GDP | Population urbanization rate | Energy intensity |
---|---|---|---|---|
Production space | 0.99*** | 0.90 | 0.94* | -0.94* |
Living space | 0.92* | 0.93* | 0.97** | -0.91* |
Ecological space | -0.98** | -0.92* | -0.96** | 0.94* |
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