Spatial understanding of historical and future landslide variation in Africa
文献类型:期刊论文
作者 | Nahayo, Lamek2,3; Peng, Cui1,3; Lei, Yu1,3; Tan, Rongzhi3 |
刊名 | NATURAL HAZARDS |
出版日期 | 2023-08-27 |
页码 | 29 |
ISSN号 | 0921-030X |
关键词 | Africa Gain information ratio Landslide susceptibility Urbanization |
DOI | 10.1007/s11069-023-06126-3 |
英文摘要 | The African natural landscape reshaping in search for housing, food and infrastructure development exposes the slope to failure. However, the entire African landslide characterization is still not well known due to limited studies covering the whole continent. The authors recognize this fact and conduct this study to present the historical landslide susceptibility (1990-2020) and the 2050 predicted occurrence under urbanization practices in Africa. The 1982-2021 reviewed literature identifies 26,211 recent landslides and high number is localized within same areas highlighted by the 2007-2018 Global Landslide inventories. For periodical landslide susceptibility mapping, rainfall, urbanization and LULC are selected as major drivers based on literature and inventory. These factors' historical maps are estimated to date (2022) and combined with other landslide causal factors namely elevation, slope, aspects, curvature, distance to roads, distance to rivers, distance to faults, soil moisture, soil texture and lithology as of 2022. GIS facilitated to estimate current (2022) landslide susceptibility. The Information Gain Ratio sensitivity analysis highlights urbanization (0.106), LULC (0.097), slope (0.091), elevation (0.088) and rainfall (0.083) as key landslide drivers. The Southern and Horn of Africa seize over 80% of high and very high susceptibility, respectively. This 2022 susceptibility map is then predicted to 2050 and reclassified as that of 2050 urbanization (base map). The Southern, Eastern, Northern and Horn of Africa are future landslide prone areas. This new study helps policymakers to ensure proper/suitable land and urban planning and management practices for sustainable urbanization and lowering loss on human lives, damage on properties and environment. |
WOS关键词 | DISASTER RISK REDUCTION ; SUSCEPTIBILITY ASSESSMENT ; HIERARCHY PROCESS ; HAZARD ASSESSMENT ; URBANIZATION ; EARTHQUAKE ; FOOTSLOPES ; FRAMEWORK ; CAMEROON ; MODEL |
资助项目 | The authors also thank all data providers which contributed to the successful end of this study. |
WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
语种 | 英语 |
出版者 | SPRINGER |
WOS记录号 | WOS:001060034800001 |
资助机构 | The authors also thank all data providers which contributed to the successful end of this study. |
源URL | [http://ir.imde.ac.cn/handle/131551/57580] |
专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 |
通讯作者 | Lei, Yu |
作者单位 | 1.CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan 2.Rwanda Country Off, Int Union Conservat Nat & Nat Resources IUCN, KN 16 Ave Kiyovu, Kigali, Rwanda 3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China |
推荐引用方式 GB/T 7714 | Nahayo, Lamek,Peng, Cui,Lei, Yu,et al. Spatial understanding of historical and future landslide variation in Africa[J]. NATURAL HAZARDS,2023:29. |
APA | Nahayo, Lamek,Peng, Cui,Lei, Yu,&Tan, Rongzhi.(2023).Spatial understanding of historical and future landslide variation in Africa.NATURAL HAZARDS,29. |
MLA | Nahayo, Lamek,et al."Spatial understanding of historical and future landslide variation in Africa".NATURAL HAZARDS (2023):29. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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