RS-based Analysis of the Impact of Land Use Change on Hotspot Effect and Carbon Distribution in Shanghai (2010- 2020)

Research Article
Open access

RS-based Analysis of the Impact of Land Use Change on Hotspot Effect and Carbon Distribution in Shanghai (2010- 2020)

Zhichen Zhang 1*
  • 1 Tifen Academy, Shanghai, 200000, China    
  • *corresponding author sureng@ldy.edu.rs
TNS Vol.102
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-80590-013-9
ISBN (Online): 978-1-80590-014-6

Abstract

To increase the productivity of cities and the quality of life of human beings other than the environment, urban land is constantly expanding and compressing and destroying the original ecological environment. This paper takes Shanghai as an example and analyses the influence of urban land use changes on the trend of heat island effect and carbon distribution based on remote sensing data. This paper concludes that the land use of building land is still increasing, but the rate of increase has been reduced in recent years, and the heat island effect has also been significantly reduced after 2015. Although the distribution has not changed much, it has also reduced the carbon source area and total carbon emissions after 15 years. The Shanghai municipal government has paid more attention to environmental protection in recent years, such as implementing a policy of strictly controlling the size of construction land to reduce urban sprawl and protect ecological land. The analyses in this paper can help to predict future ecological and climate change in Shanghai, and can help to improve the land use structure and promote sustainable development in the city in the future.

Keywords:

Earth Science, GIS, Land use classification, heat island effect, Carbon distribution

Zhang,Z. (2025). RS-based Analysis of the Impact of Land Use Change on Hotspot Effect and Carbon Distribution in Shanghai (2010- 2020). Theoretical and Natural Science,102,60-68.
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References

[1]. Vitousek, P.M.; Mooney, H.A.; Lubchenco, J.; Melillo, J.M. Human domination of earth’s ecosystems. Science 1997, 277, 494–499.

[2]. Houghton R A, Hackler J L, Lawrence K T. The U S. Carbon buget: contributions from land-use change. Science, 1999, 285 ( 5427) : 574-578.

[3]. Huty R, Yoon R, Hepinstall-Cymerman J, et al. Carbon consequences of land cover change and expansion of urban lands: A case study in the seattle metropolitan region . Landscape Urban Plan, 2011, 103( 6) : 83-93.

[4]. Han Pengpeng, Chen Jinsong, Han Yu. Research on Carbon Emission Effects of Regional Land Use Change Based on Remote Sensing [C]// Editorial Board of Environmental Engineering, Industrial Building Magazine Co., Ltd. Proceedings of the 2018 National Academic Conference of Environmental Engineering (Volume II). Space Information Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Urban Traffic Planning Institute of Huizhou City; 2018: 887-892.

[5]. Xin X, Zhang T, He F, et al. Assessing and simulating changes in ecosystem service value based on land use/cover change in coastal cities: A case study of Shanghai, China[J]. Ocean & Coastal Management, 2023, 239: 106591

[6]. Cui L, Shi J. Urbanization and its environmental effects in Shanghai, China[J]. Urban Climate, 2012, 2: 1-15.

[7]. Abera B. Evaluation of Urban Thermal Environment Variation and Stress Using Remote Sensing Imagery and QGIS for Sustainable Urban Development over Adama City, Ethiopia[J]. 2024.

[8]. Yin J, Yin Z, Zhong H, et al. Monitoring urban expansion and land use/land cover changes of Shanghai metropolitan area during the transitional economy (1979–2009) in China[J]. Environmental monitoring and assessment, 2011, 177: 609-621.

[9]. Nakata-Osaki C M, Souza L C L, Rodrigues D S. THIS–Tool for Heat Island Simulation: A GIS extension model to calculate urban heat island intensity based on urban geometry[J]. Computers, Environment and Urban Systems, 2018, 67: 157-168.

[10]. Houghton R A, House J I, Pongratz J, et al. Carbon emissions from land use and land-cover change[J]. Biogeosciences, 2012, 9(12): 5125-5142.

[11]. Débora Joana Dutra et al. Challenges for reducing carbon emissions from Land-Use and Land Cover Change in Brazil[J]. Perspectives in Ecology and Conservation, 2024, 22(3) : 213-218.

Cite this article

Zhang,Z. (2025). RS-based Analysis of the Impact of Land Use Change on Hotspot Effect and Carbon Distribution in Shanghai (2010- 2020). Theoretical and Natural Science,102,60-68.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume title: Proceedings of ICEGEE 2025 Symposium: Impact of Technological Innovation on Energy Efficiency in European Countries

ISBN：978-1-80590-013-9(Print) / 978-1-80590-014-6(Online)
Editor：Javier Cifuentes-Faura
Conference website: https://www.icegee.org/murcia.html
Conference date: 16 May 2025
Series: Theoretical and Natural Science
Volume number: Vol.102
ISSN：2753-8818(Print) / 2753-8826(Online)

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References

[1]. Vitousek, P.M.; Mooney, H.A.; Lubchenco, J.; Melillo, J.M. Human domination of earth’s ecosystems. Science 1997, 277, 494–499.

[2]. Houghton R A, Hackler J L, Lawrence K T. The U S. Carbon buget: contributions from land-use change. Science, 1999, 285 ( 5427) : 574-578.

[3]. Huty R, Yoon R, Hepinstall-Cymerman J, et al. Carbon consequences of land cover change and expansion of urban lands: A case study in the seattle metropolitan region . Landscape Urban Plan, 2011, 103( 6) : 83-93.

[4]. Han Pengpeng, Chen Jinsong, Han Yu. Research on Carbon Emission Effects of Regional Land Use Change Based on Remote Sensing [C]// Editorial Board of Environmental Engineering, Industrial Building Magazine Co., Ltd. Proceedings of the 2018 National Academic Conference of Environmental Engineering (Volume II). Space Information Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Urban Traffic Planning Institute of Huizhou City; 2018: 887-892.

[5]. Xin X, Zhang T, He F, et al. Assessing and simulating changes in ecosystem service value based on land use/cover change in coastal cities: A case study of Shanghai, China[J]. Ocean & Coastal Management, 2023, 239: 106591

[6]. Cui L, Shi J. Urbanization and its environmental effects in Shanghai, China[J]. Urban Climate, 2012, 2: 1-15.

[7]. Abera B. Evaluation of Urban Thermal Environment Variation and Stress Using Remote Sensing Imagery and QGIS for Sustainable Urban Development over Adama City, Ethiopia[J]. 2024.

[8]. Yin J, Yin Z, Zhong H, et al. Monitoring urban expansion and land use/land cover changes of Shanghai metropolitan area during the transitional economy (1979–2009) in China[J]. Environmental monitoring and assessment, 2011, 177: 609-621.

[9]. Nakata-Osaki C M, Souza L C L, Rodrigues D S. THIS–Tool for Heat Island Simulation: A GIS extension model to calculate urban heat island intensity based on urban geometry[J]. Computers, Environment and Urban Systems, 2018, 67: 157-168.

[10]. Houghton R A, House J I, Pongratz J, et al. Carbon emissions from land use and land-cover change[J]. Biogeosciences, 2012, 9(12): 5125-5142.

[11]. Débora Joana Dutra et al. Challenges for reducing carbon emissions from Land-Use and Land Cover Change in Brazil[J]. Perspectives in Ecology and Conservation, 2024, 22(3) : 213-218.

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