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Warming Effort and Energy Budget Difference of Various Human Land Use Intensity: Case Study of Beijing, China

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  • Shenghui Zhou

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
    Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Ke Wang

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
    Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Shiqi Yang

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
    Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Wenli Li

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
    Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Yuxuan Zhang

    (Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Bin Zhang

    (Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Yiming Fu

    (Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Xiaoyan Liu

    (Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Yadi Run

    (Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Oliva Gabriel Chubwa

    (Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

  • Guosong Zhao

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Jinwei Dong

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yaoping Cui

    (Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
    Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, College of Environment and Planning, Henan University, Kaifeng 475004, China)

Abstract

Human land use intensity affects the surface energy balance by changing the biogeophysical parameters. This study used Moderate Resolution Imaging Spectroradiometer remote sensing data and surface energy balance algorithms to quantify changes in surface energy budgets corresponding to changes in land use in Beijing from 2000 to 2015. Land use was reclassified by considering land use intensity. The difference in the latent heat flux (LE) and net radiation (R n ) (LE−R n ) expressed the warming or cooling effect. The results showed that: (i) The increasing trend of net longwave radiation in Beijing offset the decreasing trend of net shortwave radiation. The R n changed slightly, while the LE and LE−R n showed a significant increase of 0.55 and 0.56 W/(m²∙year), respectively. The findings indicated that considering only radiative forcing, or even R n , was not enough to measure the impacts of land use change on the energy budget. (ii) The order of R n , LE, and LE−R n values from high to low were natural and seminatural areas, cropland, mixed pixel areas, urban expansion areas, and old urban areas. Compared with natural and seminatural areas, the changing LE−R n trend in the other four land use types decreased with the increase in human impact intensity, indicating that human activities weakened the positive change trend of LE−R n and increased the warming effect. (iii) Although the temporal trend of LE increased in Beijing from 2000 to 2015, the effect of R n on LE−R n was greater than that of LE, especially in the four land use types affected by human activities. The results for surface temperature in various land use types confirmed this point. This study highlights the energy budget differences of various land use types affected by human activities. It makes an important contribution to understanding the urban heat island effect from a biogeophysical perspective.

Suggested Citation

  • Shenghui Zhou & Ke Wang & Shiqi Yang & Wenli Li & Yuxuan Zhang & Bin Zhang & Yiming Fu & Xiaoyan Liu & Yadi Run & Oliva Gabriel Chubwa & Guosong Zhao & Jinwei Dong & Yaoping Cui, 2020. "Warming Effort and Energy Budget Difference of Various Human Land Use Intensity: Case Study of Beijing, China," Land, MDPI, vol. 9(9), pages 1-15, August.
  • Handle: RePEc:gam:jlands:v:9:y:2020:i:9:p:280-:d:401346
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    References listed on IDEAS

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    Cited by:

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    4. Yunfei Peng & Fangling Yang & Lingwei Zhu & Ruru Li & Chao Wu & Deng Chen, 2021. "Comparative Analysis of the Factors Influencing Land Use Change for Emerging Industry and Traditional Industry: A Case Study of Shenzhen City, China," Land, MDPI, vol. 10(6), pages 1-17, May.
    5. Qian Chi & Shenghui Zhou & Lijun Wang & Mengyao Zhu & Dandan Liu & Weichao Tang & Yaoping Cui & Jay Lee, 2021. "Exploring on the Eco-Climatic Effects of Land Use Changes in the Influence Area of the Yellow River Basin from 2000 to 2015," Land, MDPI, vol. 10(6), pages 1-16, June.
    6. Xiao Zhao & Mengyao Zhu & Dandan Liu & Siqi Xu & Siyu Ye & Shuang Wang & Yaoping Cui & Shenghui Zhou, 2022. "Exploring the Ecological Climate Effects of Different Land Use Changes in the Yangtze River Basin from 2000 to 2020," Land, MDPI, vol. 11(10), pages 1-16, September.

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