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 Yang7; Guo, Bing1,2,3,4,6,7,8,9; Lu, Yuefeng7,8; Zhang, Rui5; Zhang, Dafu7; Zhen, Xiaoyan7; Chen, Shuting7; Wu, Hongwei7; Wei, Cuixia7; Yang, Luoan7 | |
刊名 | GEOMATICS NATURAL HAZARDS & RISK |
2021 | |
卷号 | 12期号:1页码:103-122 |
关键词 | RUSLE model soil erosion soil erodibility land use gravity centre |
ISSN号 | 1947-5705 |
DOI | 10.1080/19475705.2020.1861112 |
通讯作者 | Guo, Bing(guobingjl@163.com) |
英文摘要 | This 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. |
资助项目 | Open 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] |
WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
语种 | 英语 |
出版者 | TAYLOR & FRANCIS LTD |
WOS记录号 | WOS:000605336800001 |
资助机构 | Open 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 |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/137607] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Guo, Bing |
作者单位 | 1.Key Lab Geomat & Digital Technol Shandong Prov, Qingdao, Peoples R China 2.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China 3.East China Univ Technol, Key Lab Digital Land & Resources Jiangxi Prov, Nanchang, Jiangxi, Peoples R China 4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 5.Minist Nat Resources, Land Satellite Remote Sensing Applicat Ctr, Beijing, Peoples R China 6.Key Lab Meteorol & Ecol Environm Hebei Prov, Shijiazhuang, Hebei, Peoples R China 7.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo, Shandong, Peoples R China 8.Minist Nat Resources, Key Lab Natl Geog Census & Monitoring, Wuhan, Peoples R China 9.Lanzhou Univ, MOE Key Lab Western Chinas Environm Syst, Lanzhou, Gansu, Peoples R China |
推荐引用方式 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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