Exploring a form of pixel-based information value model for flood probability assessment and geo-visualization over an East African basin: a case of Nyabarongo in Rwanda
文献类型：期刊论文
| 作者 | Mind'je, Richard1,2,5; Li, Lanhai1,2,3,4; Kayumba, Patient Mindje1,2,3,5; Mupenzi, Christophe5; Mindje, Mapendo6; Hao, Jiansheng7 |
| 刊名 | ENVIRONMENTAL EARTH SCIENCES
 |
| 出版日期 | 2023-09-01 |
| 卷号 | 82期号:17页码:21 |
| ISSN号 | 1866-6280 |
| 关键词 | Flood GIS Information value Nyabarongo Pixel Rwanda |
| DOI | 10.1007/s12665-023-11088-7 |
| 通讯作者 | Li, Lanhai(lilh@ms.xjb.ac.cn) |
| 英文摘要 | The Nyabarongo basin in Rwanda is subjected to hydrometeorological hazards, particularly floods, which are the most prevailing and devastating. Therefore, understanding flood-controlling factors is so pertinent for the development of scientifically driven flood prevention strategies. This study aimed at exploring a form of pixel-based information value model integrated with remote sensing techniques and geo-information system to assess the probability of flood incidence and geo-visualize prone areas at basin's scale. To do this, a flood inventory was initially generated using 226 past flooded locations, which were split into a 75:25 ratio for model training and validation, respectively. Fourteen flood-controlling factors were selected after a multicollinearity diagnosis. The results unveiled that more than half of the basin's surface area is covered by very high (8.6%) and high (21.5%) to medium (31.8%) probability of flood incidence. This dispersion was mainly influenced by rainfall, proximity to rivers, Land Use/Land Cover, elevation, and SPI which influence the basin's hydrological behavior. The evaluated accuracy of the applied model using the Area Under Curve of the Receiver Operating Characteristics (AUC-ROC) highlighted a commendable and accurate performance of 0.883 and 0.828 for success and prediction rate, respectively. The study's findings provide a scientifically driven reference for flood mitigation plans and act as a benchmark for decision-making and policy updates regarding flood risk management toward the Nyabarongo basin and other basins with similar characteristics nationally or regionally. |
| WOS关键词 | LANDSLIDE SUSCEPTIBILITY ; HYDROLOGICAL RESPONSES ; CONDITIONING FACTORS ; MACHINE ; MULTICRITERIA ; RISK |
| 资助项目 | key program for international cooperation of the Bureau of International Cooperation, Chinese Academy of Sciences[151542KYSB20200018] ; Sino-Africa Joint Research Center of Chinese Academy of Sciences[SAJC202107] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Water Resources |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:001049315900005 |
| 资助机构 | key program for international cooperation of the Bureau of International Cooperation, Chinese Academy of Sciences ; Sino-Africa Joint Research Center of Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196660]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Lanhai |
| 作者单位 | 1.Chinese Acad Sci, Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol Xinjiang, 818 South Beijing Rd, Urumqi 830011, Xinjiang, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100039, Peoples R China 3.CAS Res Ctr Ecol & Environm Cent Asia, 818 South Beijing Rd, Urumqi 830011, Xinjiang, Peoples R China 4.Xinjiang Key Lab Water Cycle & Utilizat Arid Zone, Urumqi 830011, Peoples R China 5.Univ Lay Adventists Kigali UNILAK, Fac Environm Sci, POB 6392, Kigali, Rwanda 6.Univ Rwanda, Coll Agr Anim Sci & Vet Med, POB 117, Huye, Rwanda 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Mind'je, Richard,Li, Lanhai,Kayumba, Patient Mindje,et al. Exploring a form of pixel-based information value model for flood probability assessment and geo-visualization over an East African basin: a case of Nyabarongo in Rwanda[J]. ENVIRONMENTAL EARTH SCIENCES,2023,82(17):21. |
| APA | Mind'je, Richard,Li, Lanhai,Kayumba, Patient Mindje,Mupenzi, Christophe,Mindje, Mapendo,&Hao, Jiansheng.(2023).Exploring a form of pixel-based information value model for flood probability assessment and geo-visualization over an East African basin: a case of Nyabarongo in Rwanda.ENVIRONMENTAL EARTH SCIENCES,82(17),21. |
| MLA | Mind'je, Richard,et al."Exploring a form of pixel-based information value model for flood probability assessment and geo-visualization over an East African basin: a case of Nyabarongo in Rwanda".ENVIRONMENTAL EARTH SCIENCES 82.17(2023):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。