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A fundamental theorem for eco-environmental surface modelling and its applications

文献类型：期刊论文

作者Yue, Tianxiang7,10,11,12; Zhao, Na7,10,11; Liu, Yu13; Wang, Yifu14; Zhang, Bin15; Du, Zhengping10; Fan, Zemeng7,10,11; Shi, Wenjiao10,11; Chen, Chuanfa13; Zhao, Mingwei16
刊名SCIENCE CHINA-EARTH SCIENCES
出版日期2020-04-21
页码21
ISSN号1674-7313
关键词HASM FTEEM Spatial upscaling Spatial downscaling Spatial interpolation Data fusion Model-data assimilation Model coupling
DOI10.1007/s11430-019-9594-3
通讯作者Yue, Tianxiang(yue@lreis.ac.cn) ; Fan, Zemeng(fanzm@lreis.ac.cn)
英文摘要We propose a fundamental theorem for eco-environmental surface modelling (FTEEM) in order to apply it into the fields of ecology and environmental science more easily after the fundamental theorem for Earth's surface system modeling (FTESM). The Beijing-Tianjin-Hebei (BTH) region is taken as a case area to conduct empirical studies of algorithms for spatial upscaling, spatial downscaling, spatial interpolation, data fusion and model-data assimilation, which are based on high accuracy surface modelling (HASM), corresponding with corollaries of FTEEM. The case studies demonstrate how eco-environmental surface modelling is substantially improved when both extrinsic and intrinsic information are used along with an appropriate method of HASM. Compared with classic algorithms, the HASM-based algorithm for spatial upscaling reduced the root-mean-square error of the BTH elevation surface by 9 m. The HASM-based algorithm for spatial downscaling reduced the relative error of future scenarios of annual mean temperature by 16%. The HASM-based algorithm for spatial interpolation reduced the relative error of change trend of annual mean precipitation by 0.2%. The HASM-based algorithm for data fusion reduced the relative error of change trend of annual mean temperature by 70%. The HASM-based algorithm for model-data assimilation reduced the relative error of carbon stocks by 40%. We propose five theoretical challenges and three application problems of HASM that need to be addressed to improve FTEEM.
WOS关键词HIGH-ACCURACY METHOD ; DATA ASSIMILATION ; FILLING VOIDS ; INTERPOLATION ; APPROXIMATION ; PRECIPITATION ; UNCERTAINTY ; TEMPERATURE ; SENSITIVITY ; TESTS
资助项目National Natural Science Foundation of China[41930647] ; National Natural Science Foundation of China[41590844] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41971358] ; Strategic Priority Research Program (A) of the Chinese Academy of Sciences[XDA20030203] ; Innovation Project of LREIS[O88RA600YA] ; Biodiversity Investigation, Observation and Assessment Program (2019-2023) of the Ministry of Ecology and Environment of China
WOS研究方向Geology
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:000528131300003
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program (A) of the Chinese Academy of Sciences ; Innovation Project of LREIS ; Biodiversity Investigation, Observation and Assessment Program (2019-2023) of the Ministry of Ecology and Environment of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/159862]  
专题中国科学院地理科学与资源研究所
通讯作者Yue, Tianxiang; Fan, Zemeng
作者单位1.China Populat & Dev Res Ctr, Dept Populat Data, Beijing 100081, Peoples R China
2.China Standardizat Adm, Dept Ind Stand, Beijing 100088, Peoples R China
3.Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China
4.Chinese Ctr Dis Control & Prevent, Natl Inst Environm Hlth, Beijing 100021, Peoples R China
5.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China
6.Qian Xuesen Lab Space Technol, Beijing 100094, Peoples R China
7.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
8.Univ Southern Calif, Spatial Sci Inst, Los Angeles, CA 90089 USA
9.Chongqing Jiaotong Univ, Coll Architecture & Urban Planning, Chongqing 400074, Peoples R China
10.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Yue, Tianxiang,Zhao, Na,Liu, Yu,et al. A fundamental theorem for eco-environmental surface modelling and its applications[J]. SCIENCE CHINA-EARTH SCIENCES,2020:21.
APA Yue, Tianxiang.,Zhao, Na.,Liu, Yu.,Wang, Yifu.,Zhang, Bin.,...&Wilson, John P..(2020).A fundamental theorem for eco-environmental surface modelling and its applications.SCIENCE CHINA-EARTH SCIENCES,21.
MLA Yue, Tianxiang,et al."A fundamental theorem for eco-environmental surface modelling and its applications".SCIENCE CHINA-EARTH SCIENCES (2020):21.

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来源：地理科学与资源研究所

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