Urban expansion and carbon emission effect of the urban agglomeration in south-central Liaoning Province
XING Zihan1,2(), LI Xiaoyan1(), SHI Zhenyu1, GULINAER·Suoerdahan 1, WU Haitao3
1. College of Earth Science, Jilin University, Changchun 130061, China 2. Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Science, Changchun 130102, China 3. Guaizi Lake Weather Station of Inner Mongolia Autonomous Region, Alxa 735408, China
In this study, the urban expansion of the urban agglomeration in south-central Liaoning Province from 2000 to 2016 was analyzed using the nighttime light remote sensing data. The spatial relationship between urban expansion and carbon emission was quantitatively studied based on the carbon emission data. The spatial-temporal differences of carbon emissions in the study area were analyzed. Moreover, decoupling analysis was made targeting urban expansion index and carbon emissions. The results are as follows. The annual average expansion rate of the study area increased from 3.93% to 5.48%, with the expansion intensity increased from 0.211 to 0.525. The total carbon emission in the study area increased from 63.694 billion tons to 177.246 billion tons during 2000—2016. The annual average carbon emission rate increased from 7.02% to 18.96% and then decreased to 0.96%, experiencing a process from fast to slow. The average local carbon emission showed an increasing trend but varied greatly among cities. The urban expansion of the study area contributed to but also decoupled with carbon emission. The decoupling state changed from expansion negative decoupling to weak decoupling. By 2016, 80% of the cities in the study area had been in the decoupling state. The study results have significant implications for formulating future urban planning and energy conservation and emission reduction policies.
Tab.3 Total carbon emissions in developed and developing urban areas(亿t)
Fig.5 城市区和城市发展区的碳排放速率
时间段
扩张速率/%
年平均碳排 放速率/%
协同扩张指数
2000—2005年
3.93
7.02
0.21
2005—2010年
4.90
18.96
0.18
2010—2016年
5.48
0.96
0.06
2000—2016年
6.12
11.14
0.26
Tab.4 2000—2016年间UASCL城市扩张与碳排放量协同扩张指数
Fig.6 2000—2016年UASCL 各市碳排放量与城市扩张脱钩状态
[1]
Zhang D, Huang Q X, He H Y, et al. Impacts of urban expansion on ecosystem services in the Beijing-Tianjin-Hebei urban agglomeration,China:A scenario analysis based on the shared socioeconomic pathways[J]. Resources,Conservation and Recycling, 2017, 125:115-130.
doi: 10.1016/j.resconrec.2017.06.003
Ma X G, Tang C H. Study on state spatial selectivity of urban agglomeration from the perspective of new state space theory[J]. Human Geography, 2019, 34(2):105-115.
Gu G F, Li Q, Zhou Y N. Evolution of economic growth spatial correlation network structure of urban agglomeration in northeast China[J]. Areal Research and Development, 2020, 39(2):14-19.
Shen Z J, Zeng J. Analysis of spatiotemporal patterns and evolution of regional thermal islands in Fujian delta urban agglomeration during decade of 1996—2017[J]. Journal of Safety and Environment, 2020, 20(4):1567-1578.
[5]
Lin C Y, Chen W C, et al. Numerical study of the impact of urbanization on the precipitation over Taiwan[J]. Atmospheric Environment, 2008, 42:2934-2947.
doi: 10.1016/j.atmosenv.2007.12.054
Liu K, Wu Y, Wang X Y, et al. Impact of spatial structure of urban agglomerations on air pollution in China[J]. China Population,Resources and Environment, 2020, 30(10):28-35.
Fan J K, Xu J G. Vulnerability assessment of urban agglomeration based on neural network model: A case study of central Yunnan urban agglomeration[J]. Journal of Natural Resources, 2020, 35(12):2875-2887.
doi: 10.31497/zrzyxb.20201205
[8]
Mvungi A, Hranova R K, Love D J. Impact of home industries on water quality in a tributary of the Marimba River,Harare:Implications for urban water management[J]. Physics and Chemistry of the Earth, 2003, 28:1131-1137.
[9]
Chang H J. Spatial and temporal variations of water quality in the Han River and its tributaries[J]. Water,Air and Soil Pollution, 2005, 161:267-284.
doi: 10.1007/s11270-005-4286-7
[10]
Yoshimura C O T, Furumai H, Tockner K. Present state of rivers and streams in Japan[J]. River Research and Applications, 2005, 21 (23):93-112.
doi: 10.1002/rra.835
[11]
郭岫垚. 辽宁省碳排放效率时空演变及影响因素研究[D]. 大连: 辽宁师范大学, 2021.
Guo X Y. Research on spatial-temporal evolution and influencing factors of carbon emission efficiency in Liaoning Province[D]. Dalian: Liaoning Normal University, 2021.
Wu J K, Jiang H M, Wang G X. Study on the effect of urban sprawl on carbon emission: Based on industry agglomeration[J]. Industrial Economic Review, 2012, 7(4):23-35.
Li X X. The research on characteristics of urban spatial expansion of central and southern Liaoning Province urban agglomeration based on nighttime lights data[D]. Dalian: Liaoning Normal University, 2018.
Wang Y F, Cao H J. Spatial-temporal characteristics and driving factors for urban agglomeration in Harbin-Changchun and Central-Southern Liaoning Province[J]. Journal of Northeastern University(Natural Science), 2021, 42(5):755-760.
Ren X Y, He Y F, Wang Z M. Spatial-temporal characteristics of construction land expansion and occupation of cultivated land in urban agglomeration of central and southern Liaoning Province based on remote sensing[J]. Remote Sensing for Land and Resources, 2020, 32(3):98-105.doi:10.6046/gtzyyg.2020.03.13.
doi: 10.6046/gtzyyg.2020.03.13
Cao Z Y, Wu Z F, Kuang Y Q, et al. Correction of DMSP/OLS night-time light images and its application in China[J]. Journal of Geo-Information Science, 2015, 17(9):1092-1102.
Yang R F. Integrating DMSP/OLS & NPP/VIIRS lighttime light data to the application research of urban agglomeration growth process:A case study of the main urban agglomerations of Yangtze River economic zone[D]. Chongqing: Southwest University, 2018.
Gao N, Gai Y C, Song X Y. Study of urban expansion and driving factors in Xi’an City based on nighttime light data[J]. Remote Sensing Technology and Application, 2019, 34(1):207-215.
Zhou J, Wang Y X, Liu X R, et al. Spatial temporal differences of carbon emissions and carbon compensation in China based on land use change[J]. Scientia Geographica Sinica, 2019, 39(12):1955-1961.
doi: 10.13249/j.cnki.sgs.2019.12.014
Wang Z Y, Liao J J, Chen Z Z, et al. Study of city land expansion and carbon emission correlation effect:Taking Changsha City as an example[J]. Journal of University of South China(Science and Technology), 2013, 27(2):82-88.
Shu X, Xia C Y, Li Y, et al. Relationships between carbon emission,urban growth,and urban forms of urban agglomeration in the Yangtze River Delta[J]. Acta Ecologica Sinica, 2018, 38(17):6302-6313.
2022, Vol. 34 
), 李晓燕1(
