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Spatial Variation of Surface Energy Fluxes Due to Land Use Changes across China

Author

Listed:
  • Enjun Ma

    (School of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, China)

  • Xiangzheng Deng

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

  • Qian Zhang

    (Department of Urban Planning and Environment, Royal Institute of Technology-KTH, Drottning Kristinas väg 30, SE 10044 Stockholm, Sweden)

  • Anping Liu

    (School of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, China)

Abstract

We estimate the heat flux changes caused by the projected land transformation over the next 40 years across China to improve the understanding of the impacts of land dynamics on regional climate. We use the Weather Research and Forecasting (WRF) model to investigate these impacts in four representative land transformation zones, where reclamation, overgrazing, afforestation, and urbanization dominates the land use and land cover changes in each zone respectively. As indicated by the significant variance of albedo due to different land use and cover changes, different surface properties cause great spatial variance of the surface flux. From the simulation results, latent heat flux increases by 2 and 21 W/m 2 in the reclamation and afforestation regions respectively. On the contrary, overgrazing and urban expansion results in decrease of latent heat flux by 5 and 36 W/m 2 correspondingly. Urban expansion leads to an average increase of 40 W/m 2 of sensible heat flux in the future 40 years, while reclamation, afforestation, as well as overgrazing result in the decrease of sensible heat flux. Results also show that reclamation and overgrazing lead to net radiation decrease by approximately 4 and 7 W/m 2 respectively, however, afforestation and urbanization lead to net radiation increase by 6 and 3 W/m 2 respectively. The simulated impacts of projected HLCCs on surface energy fluxes will inform sustainable land management and climate change mitigation.

Suggested Citation

  • Enjun Ma & Xiangzheng Deng & Qian Zhang & Anping Liu, 2014. "Spatial Variation of Surface Energy Fluxes Due to Land Use Changes across China," Energies, MDPI, vol. 7(4), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:4:p:2194-2206:d:34841
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    References listed on IDEAS

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    2. Deng, Xiangzheng & Huang, Jikun & Huang, Qiuqiong & Rozelle, Scott & Gibson, John, 2011. "Do roads lead to grassland degradation or restoration? A case study in Inner Mongolia, China," Environment and Development Economics, Cambridge University Press, vol. 16(6), pages 751-773, December.
    3. Richard A. Betts, 2000. "Offset of the potential carbon sink from boreal forestation by decreases in surface albedo," Nature, Nature, vol. 408(6809), pages 187-190, November.
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    Cited by:

    1. Hao Wang & Guohua Liu & Zongshan Li & Xin Ye & Bojie Fu & Yihe Lü, 2017. "Analysis of the Driving Forces in Vegetation Variation in the Grain for Green Program Region, China," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    2. Xueyi Yu & Chi Mu & Dongdong Zhang, 2020. "Assessment of Land Reclamation Benefits in Mining Areas Using Fuzzy Comprehensive Evaluation," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    3. You Jin Kwon & Dong Kun Lee & Kiseung Lee, 2019. "Determining Favourable and Unfavourable Thermal Areas in Seoul Using In-Situ Measurements: A Preliminary Step towards Developing a Smart City," Energies, MDPI, vol. 12(12), pages 1-24, June.
    4. Wei Song & Xiangzheng Deng, 2015. "Effects of Urbanization-Induced Cultivated Land Loss on Ecosystem Services in the North China Plain," Energies, MDPI, vol. 8(6), pages 1-16, June.

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