ITPCAS OpenIR  > 图书馆
Permafrost zonation index map and statistics over the Qinghai-Tibet Plateau based on field evidence
Cao, B (Cao, Bin)1,2; Zhang, TJ (Zhang, Tingjun)1; Wu, QB (Wu, Qingbai)3; Sheng, Y (Sheng, Yu)3; Zhao, L (Zhao, Lin)4; Zou, DF (Zou, Defu)5
Source PublicationPERMAFROST AND PERIGLACIAL PROCESSES
2019
Volume30Issue:3Pages:178-194
DOI10.1002/ppp.2006
Abstract

Permafrost is prevalent over the Qinghai-Tibet Plateau (QTP), but mapping its distribution is challenging due to the limited availability of ground-truth data sets and strong spatial heterogeneity in the region. Based on a recently developed inventory of permafrost presence or absence from 1475 in situ observations, we developed and trained a statistical model and used it to compile a high-resolution (30 arc-seconds) permafrost zonation index (PZI) map. The PZI model captures the high spatial variability of permafrost distribution over the QTP because it considers multiple controlling variables, including near-surface air temperature downscaled from re-analysis, snow cover days and vegetation cover derived from remote sensing. Our results showed the new PZI map achieved the best performance compared to available existing PZI and traditional categorical maps. Based on more than 1000 in situ measurements, the Cohen's kappa coefficient and overall classification accuracy were 0.62 and 82.5%, respectively. Excluding glaciers and lakes, the area of permafrost regions over the QTP is approximately 1.54 (1.35-1.66) x10(6) km(2), or 60.7 (54.5-65.2)% of the exposed land, while area underlain by permafrost is about 1.17 (0.95-1.35) x10(6) km(2), or 46 (37.3-53.0)%.

Subject AreaGeology
WOS IDWOS:000482392000005
Language英语
Indexed BySCI
KeywordActive Layer Era-interim Temperature Data European Alps Snow Cover Climate Soil Assimilation Variability Mountains
WOS Research AreaPhysical Geography ; Geology
WOS SubjectPhysical Geography ; Geology
Cooperation Status国内
ISSN1045-6740
Department大陆碰撞与高原隆升重点实验室
URL查看原文
PublisherWILEY
SubtypeArticle
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9240
Collection图书馆
Corresponding AuthorZhang, TJ (Zhang, Tingjun)
Affiliation1.Lanzhou Univ, Coll Earth & Environm Sci, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China;
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing, Peoples R China;
3.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Frozen Soil Engn, Lanzhou, Gansu, Peoples R China;
4.Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing, Jiangsu, Peoples R China;
5.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Tibet Plateau, Lanzhou, Gansu, Peoples R China.
Recommended Citation
GB/T 7714
Cao, B ,Zhang, TJ ,Wu, QB ,et al. Permafrost zonation index map and statistics over the Qinghai-Tibet Plateau based on field evidence[J]. PERMAFROST AND PERIGLACIAL PROCESSES,2019,30(3):178-194.
APA Cao, B ,Zhang, TJ ,Wu, QB ,Sheng, Y ,Zhao, L ,&Zou, DF .(2019).Permafrost zonation index map and statistics over the Qinghai-Tibet Plateau based on field evidence.PERMAFROST AND PERIGLACIAL PROCESSES,30(3),178-194.
MLA Cao, B ,et al."Permafrost zonation index map and statistics over the Qinghai-Tibet Plateau based on field evidence".PERMAFROST AND PERIGLACIAL PROCESSES 30.3(2019):178-194.
Files in This Item:
File Name/Size DocType Version Access License
2019210.pdf(4581KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cao, B (Cao, Bin)]'s Articles
[Zhang, TJ (Zhang, Tingjun)]'s Articles
[Wu, QB (Wu, Qingbai)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cao, B (Cao, Bin)]'s Articles
[Zhang, TJ (Zhang, Tingjun)]'s Articles
[Wu, QB (Wu, Qingbai)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cao, B (Cao, Bin)]'s Articles
[Zhang, TJ (Zhang, Tingjun)]'s Articles
[Wu, QB (Wu, Qingbai)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2019210.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.