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

doi:10.1007/s11430-019-9594-3

	A fundamental theorem for eco-environmental surface modelling and its applications
	Yue, Tianxiang 2,3,4,22; Zhao, Na 2,3,22; Liu, Yu 5; Wang, Yifu 6; Zhang, Bin 7; Du, Zhengping 2; Fan, Zemeng 2,3,22; Shi, Wenjiao 2,3; Chen, Chuanfa 5; Zhao, Mingwei 8
刊名	SCIENCE CHINA-EARTH SCIENCES
	2020-04-21
页码	21
关键词	HASM FTEEM Spatial upscaling Spatial downscaling Spatial interpolation Data fusion Model-data assimilation Model coupling
ISSN号	1674-7313
DOI	10.1007/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.
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关键词	HIGH-ACCURACY METHOD ; DATA ASSIMILATION ; FILLING VOIDS ; INTERPOLATION ; APPROXIMATION ; PRECIPITATION ; UNCERTAINTY ; TEMPERATURE ; SENSITIVITY ; TESTS
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
内容类型	期刊论文
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 Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Jiangxi Agr Univ, Coll Land Resources & Environm, Nanchang 330045, Jiangxi, Peoples R China 5.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China 6.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China 7.China West Normal Univ, Sch Land & Resources, Nanchong 637002, Peoples R China 8.Chuzhou Univ, Coll Geog Informat & Tourism, Chuzhou 239000, Peoples R China 9.Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China 10.Shandong Univ Sci & Technol, Dept Informat Engn, Tai An 271019, Shandong, 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.