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

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 representat...

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Main Authors: Enjun Ma, Xiangzheng Deng, Qian Zhang, Anping Liu
Format: Article
Language:English
Published: MDPI AG 2014-04-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/7/4/2194
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author Enjun Ma
Xiangzheng Deng
Qian Zhang
Anping Liu
author_facet Enjun Ma
Xiangzheng Deng
Qian Zhang
Anping Liu
author_sort Enjun Ma
collection DOAJ
description 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/m2 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/m2 correspondingly. Urban expansion leads to an average increase of 40 W/m2 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/m2 respectively, however, afforestation and urbanization lead to net radiation increase by 6 and 3 W/m2 respectively. The simulated impacts of projected HLCCs on surface energy fluxes will inform sustainable land management and climate change mitigation.
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spelling doaj.art-e6689967983c4b06a44c41aae6a83dea2022-12-22T02:07:19ZengMDPI AGEnergies1996-10732014-04-01742194220610.3390/en7042194en7042194Spatial Variation of Surface Energy Fluxes Due to Land Use Changes across ChinaEnjun Ma0Xiangzheng Deng1Qian Zhang2Anping Liu3School of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, ChinaInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaDepartment of Urban Planning and Environment, Royal Institute of Technology-KTH, Drottning Kristinas väg 30, SE 10044 Stockholm, SwedenSchool of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, ChinaWe 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/m2 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/m2 correspondingly. Urban expansion leads to an average increase of 40 W/m2 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/m2 respectively, however, afforestation and urbanization lead to net radiation increase by 6 and 3 W/m2 respectively. The simulated impacts of projected HLCCs on surface energy fluxes will inform sustainable land management and climate change mitigation.http://www.mdpi.com/1996-1073/7/4/2194land use and land cover changesheat fluxWRFChina
spellingShingle Enjun Ma
Xiangzheng Deng
Qian Zhang
Anping Liu
Spatial Variation of Surface Energy Fluxes Due to Land Use Changes across China
Energies
land use and land cover changes
heat flux
WRF
China
title Spatial Variation of Surface Energy Fluxes Due to Land Use Changes across China
title_full Spatial Variation of Surface Energy Fluxes Due to Land Use Changes across China
title_fullStr Spatial Variation of Surface Energy Fluxes Due to Land Use Changes across China
title_full_unstemmed Spatial Variation of Surface Energy Fluxes Due to Land Use Changes across China
title_short Spatial Variation of Surface Energy Fluxes Due to Land Use Changes across China
title_sort spatial variation of surface energy fluxes due to land use changes across china
topic land use and land cover changes
heat flux
WRF
China
url http://www.mdpi.com/1996-1073/7/4/2194
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AT anpingliu spatialvariationofsurfaceenergyfluxesduetolandusechangesacrosschina