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Spatial-temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change
Xiao Yang2; Guo, Bing1,2,3,4,5,6,7,8; Lu, Yuefeng2,3; Zhang, Rui9; Zhang, Dafu2; Zhen, Xiaoyan2; Chen, Shuting2; Wu, Hongwei2; Wei, Cuixia2; Yang, Luoan2; Zhang, Yi2; Zang, Wenqian7; Huang, Xiangzhi7; Sun, Guangqiang2; Wang, Zhen2
2021
Source PublicationGEOMATICS NATURAL HAZARDS & RISK
ISSN1947-5705
Volume12Issue:1Pages:103-122
Corresponding AuthorGuo, Bing(guobingjl@163.com)
AbstractThis study optimized the slope and slope length factor (LS) and crop management factor (P) of the RUSLE model and then introduced the gravity centre model to analyze the spatial-temporal variation patterns of soil erosion in Yellow River Basin from a new perspective. Results showed that: (1) The improved model of RUSLE with optimized factors of LS and P had better applicability in Yellow River Basin; (2) The average erosion intensity was 2777.5 t/a, which belonged to moderate erosion. The soil erosion intensity of the Yellow River Basin showed an overall trend of increasing firstly (1990-2005) and then decreasing (2005-2015). (3) During 1990-2015, the gravity centre of soil erosion moved to the southwest, indicating that the increment and increasing rate of soil erosion in the southwest parts of the Yellow River Basin were greater than that in the northeast parts. (4) The intensity of soil erosion aggravated with the increasing slope. The sandy soil, chestnut soil, light-grey calcium soil and fluvo aquic soil had severe erosion intensity due to the regional climate and their own physical-chemical structure. The woodland and shrubbery land were more susceptible to soil erosion.
KeywordRUSLE model soil erosion soil erodibility land use gravity centre
DOI10.1080/19475705.2020.1861112
Indexed BySCI
Language英语
Funding ProjectOpen Fund of Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources[2020NGCM02] ; Open Research Fund of the Key Laboratory of Digital Earth Science, Chinese Academy of Sciences[2019LDE006] ; Open Fund of Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology[DLLJ202002] ; Open foundation of MOE Key Laboratory of Western China's Environmental Systems, Lanzhou University ; fundamental Research funds for the Central Universities[lzujbky-2020kb01] ; University-Industry Collaborative Education Program[201902208005] ; Open Fund of Key Laboratory of Meteorology and Ecological Environment of Hebei Province[Z202001H] ; Open Fund of Key Laboratory of Geomatics and Digital Technology of Shandong Province ; State Key Laboratory of Resources and Environmental Information System ; Key Laboratory of Geomatics Technology and Application Key Laboratory of Qinghai Province[QHDX-2019-04] ; Natural Science Foundation of Shandong Province[ZR2018BD001]
Funding OrganizationOpen Fund of Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources ; Open Research Fund of the Key Laboratory of Digital Earth Science, Chinese Academy of Sciences ; Open Fund of Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology ; Open foundation of MOE Key Laboratory of Western China's Environmental Systems, Lanzhou University ; fundamental Research funds for the Central Universities ; University-Industry Collaborative Education Program ; Open Fund of Key Laboratory of Meteorology and Ecological Environment of Hebei Province ; Open Fund of Key Laboratory of Geomatics and Digital Technology of Shandong Province ; State Key Laboratory of Resources and Environmental Information System ; Key Laboratory of Geomatics Technology and Application Key Laboratory of Qinghai Province ; Natural Science Foundation of Shandong Province
WOS Research AreaGeology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000605336800001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/137608
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGuo, Bing
Affiliation1.East China Univ Technol, Key Lab Digital Land & Resources Jiangxi Prov, Nanchang, Jiangxi, Peoples R China
2.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo, Shandong, Peoples R China
3.Minist Nat Resources, Key Lab Natl Geog Census & Monitoring, Wuhan, Peoples R China
4.Lanzhou Univ, MOE Key Lab Western Chinas Environm Syst, Lanzhou, Gansu, Peoples R China
5.Key Lab Geomat & Digital Technol Shandong Prov, Qingdao, Peoples R China
6.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China
7.Key Lab Meteorol & Ecol Environm Hebei Prov, Shijiazhuang, Hebei, Peoples R China
8.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
9.Minist Nat Resources, Land Satellite Remote Sensing Applicat Ctr, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Xiao Yang,Guo, Bing,Lu, Yuefeng,et al. Spatial-temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change[J]. GEOMATICS NATURAL HAZARDS & RISK,2021,12(1):103-122.
APA Xiao Yang.,Guo, Bing.,Lu, Yuefeng.,Zhang, Rui.,Zhang, Dafu.,...&Wang, Zhen.(2021).Spatial-temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change.GEOMATICS NATURAL HAZARDS & RISK,12(1),103-122.
MLA Xiao Yang,et al."Spatial-temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change".GEOMATICS NATURAL HAZARDS & RISK 12.1(2021):103-122.
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