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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, Tianxiang20,21,22,23; Zhao, Na20,21,22; Liu, Yu3; Wang, Yifu4; Zhang, Bin5; Du, Zhengping21; Fan, Zemeng20,21,22; Shi, Wenjiao21,22; Chen, Chuanfa3; Zhao, Mingwei6
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.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
2.Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China
3.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China
4.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China
5.China West Normal Univ, Sch Land & Resources, Nanchong 637002, Peoples R China
6.Chuzhou Univ, Coll Geog Informat & Tourism, Chuzhou 239000, Peoples R China
7.Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China
8.Shandong Univ Sci & Technol, Dept Informat Engn, Tai An 271019, Shandong, Peoples R China
9.Sichuan Agr Univ, Coll Resources, Chengdu 611130, Peoples R China
10.Qufu Normal Univ, Coll Geog & Tourism, Rizhao 276828, 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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