Warming Effort and Energy Budget Difference of Various Human Land Use Intensity: Case Study of Beijing, China
Zhou, Shenghui1,3; Wang, Ke1,3; Yang, Shiqi1,3; Li, Wenli1,3; Zhang, Yuxuan1; Zhang, Bin1; Fu, Yiming1; Liu, Xiaoyan1; Run, Yadi1; Chubwa, Oliva Gabriel1
刊名LAND
2020-09-01
卷号9期号:9页码:15
关键词land cover latent heat flux net radiation human activities urban heat island
DOI10.3390/land9090280
通讯作者Cui, Yaoping(cuiyp@lreis.ac.cn)
英文摘要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/(m(2)center dot 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.
资助项目National Natural Science Foundation of China[41671425] ; National Natural Science Foundation of China[41401504] ; National Natural Science Foundation of China[41701501] ; National Natural Science Foundation of China[41565008] ; Key Research Program of Frontier Sciences by the Chinese Academy of Sciences[QYZDB-SSW-DQC005] ; Postdoctoral Research Foundation of China[2016M602232]
WOS关键词CLIMATE-CHANGE ; ALBEDO CHANGE ; COVER ; AFFORESTATION ; DEFORESTATION ; ACCUMULATION ; FEEDBACKS ; ALGORITHM ; FOREST ; MODEL
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者MDPI
WOS记录号WOS:000582057300001
资助机构National Natural Science Foundation of China ; Key Research Program of Frontier Sciences by the Chinese Academy of Sciences ; Postdoctoral Research Foundation of China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/157087]  
专题中国科学院地理科学与资源研究所
通讯作者Cui, Yaoping
作者单位1.Henan Univ, Coll Environm & Planning, Key Lab Integrat Prevent Air Pollut & Ecol Secur, Kaifeng 475004, Peoples R China
2.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
3.Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Shenghui,Wang, Ke,Yang, Shiqi,et al. Warming Effort and Energy Budget Difference of Various Human Land Use Intensity: Case Study of Beijing, China[J]. LAND,2020,9(9):15.
APA Zhou, Shenghui.,Wang, Ke.,Yang, Shiqi.,Li, Wenli.,Zhang, Yuxuan.,...&Cui, Yaoping.(2020).Warming Effort and Energy Budget Difference of Various Human Land Use Intensity: Case Study of Beijing, China.LAND,9(9),15.
MLA Zhou, Shenghui,et al."Warming Effort and Energy Budget Difference of Various Human Land Use Intensity: Case Study of Beijing, China".LAND 9.9(2020):15.
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