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A fundamental theorem for eco-environmental surface modelling and its applications
Yue, Tianxiang1,2,3,22; Zhao, Na1,2,22; Liu, Yu4; Wang, Yifu5; Zhang, Bin6; Du, Zhengping1; Fan, Zemeng1,2,22; Shi, Wenjiao1,2; Chen, Chuanfa4; Zhao, Mingwei7; Song, Dunjiang8; Wang, Shihai1; Song, Yinjun1; Yan, Changqing9; Li, Qiquan10; Sun, Xiaofang11; Zhang, Lili12; Tian, Yongzhong13; Wang, Wei14; Wang, Ying'an15; Ma, Shengnan16; Huang, Hongsheng3; Lu, Yimin17; Wang, Qing18; Wang, Chenliang1; Wang, Yuzhu19; Lu, Ming20; Zhou, Wei1,13,21; Liu, Yi1,2; Wang, Zong1; Bao, Zhengyi1,2; Zhao, Miaomiao1,2; Zhao, Yapeng1,2; Rao, Yimeng1,2; Naseer, Ufra1,2; Fan, Bin1,2; Li, Saibo1,2; Yang, Yang1,2; Wilson, John P.1,2,23
2020-04-21
Source PublicationSCIENCE CHINA-EARTH SCIENCES
ISSN1674-7313
Pages21
Corresponding AuthorYue, Tianxiang(yue@lreis.ac.cn) ; Fan, Zemeng(fanzm@lreis.ac.cn)
AbstractWe 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.
KeywordHASM FTEEM Spatial upscaling Spatial downscaling Spatial interpolation Data fusion Model-data assimilation Model coupling
DOI10.1007/s11430-019-9594-3
WOS KeywordHIGH-ACCURACY METHOD ; DATA ASSIMILATION ; FILLING VOIDS ; INTERPOLATION ; APPROXIMATION ; PRECIPITATION ; UNCERTAINTY ; TEMPERATURE ; SENSITIVITY ; TESTS
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational 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
WOS Research AreaGeology
WOS SubjectGeosciences, Multidisciplinary
WOS IDWOS:000528131300003
PublisherSCIENCE PRESS
Citation statistics
Cited Times:11[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/159863
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYue, Tianxiang; Fan, Zemeng
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Jiangxi Agr Univ, Coll Land Resources & Environm, Nanchang 330045, Jiangxi, Peoples R China
4.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China
5.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China
6.China West Normal Univ, Sch Land & Resources, Nanchong 637002, Peoples R China
7.Chuzhou Univ, Coll Geog Informat & Tourism, Chuzhou 239000, Peoples R China
8.Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China
9.Shandong Univ Sci & Technol, Dept Informat Engn, Tai An 271019, Shandong, Peoples R China
10.Sichuan Agr Univ, Coll Resources, Chengdu 611130, Peoples R China
11.Qufu Normal Univ, Coll Geog & Tourism, Rizhao 276828, Peoples R China
12.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
13.Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China
14.Minist Emergency Management, Natl Disaster Reduct Ctr China, Beijing 100721, Peoples R China
15.China Populat & Dev Res Ctr, Dept Populat Data, Beijing 100081, Peoples R China
16.China Standardizat Adm, Dept Ind Stand, Beijing 100088, Peoples R China
17.Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China
18.Chinese Ctr Dis Control & Prevent, Natl Inst Environm Hlth, Beijing 100021, Peoples R China
19.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China
20.Qian Xuesen Lab Space Technol, Beijing 100094, Peoples R China
21.Chongqing Jiaotong Univ, Coll Architecture & Urban Planning, Chongqing 400074, Peoples R China
22.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
23.Univ Southern Calif, Spatial Sci Inst, Los Angeles, CA 90089 USA
Recommended Citation
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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