Climate Change Data Portal
| DOI | 10.1007/s11069-021-04599-8 |
| Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models | |
| Małka A. | |
| 发表日期 | 2021 |
| ISSN | 0921030X |
| 起始页码 | 639 |
| 结束页码 | 674 |
| 卷号 | 107期号:1 |
| 英文摘要 | This work aims to prepare a reliable landslide susceptibility model and to analyse the factors contributing to landslides in a dynamic environment by considering the city of Gdynia, Poland as a case study. Geological, geomorphological, hydrological, hydrogeological, and anthropogenic predisposing factors are considered using geographic information systems. Ground types at different depths (1 m and 4 m b.g.l.) are used in the statistical susceptibility assessment for the first time. Landslide susceptibility maps are developed using two techniques in presenting landslides, 13 conditioning factors, and three statistical methods: landslide index, weight of evidence, and logistic regression. The considered factors have an influence on mass movement formation, but their roles are different. Many of these passive factors are interrelated and some of them are also related to active factors, i.e. triggers. Consideration of many thematic layers in the statistical approach allows for the selection of the most appropriate geo-environmental variables. The most significant conditioning factors that affect the likelihood of landsliding include land use and land cover as well as topography. The susceptibility maps generated by the index model and many interrelated passive factors appear to be over-predicted. The logistic regression model and only independent controlling factors (slope angle, slope aspect, and lithology) are sufficient to compile a reliable susceptibility map of Gdynia. Prediction rate curve plots show that the susceptibility map produced using logistic regression exhibits the highest prediction accuracy. The results emphasize the need to check independence in the selection of instability factors and the use of an independent subset of landslides for validation. © 2021, The Author(s). |
| 关键词 | Logistic regressionMass movementStatistical landslide indexSusceptibility assessmentUrbanized areaWeight of evidence |
| 英文关键词 | accuracy assessment; geological hazard; geomorphological response; GIS; hazard assessment; hydrogeology; landslide; logistics; mass movement; regression analysis; slope dynamics; slope failure; urban area; Gdynia; Poland [Central Europe]; Pomorskie |
| 语种 | 英语 |
| 来源期刊 | Natural Hazards
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/206405 |
| 作者单位 | Polish Geological Institute, National Research Institute, Branch of Marine Geology, 5 Koscierska St., Gdańsk, 80-328, Poland |
| 推荐引用方式 GB/T 7714 | Małka A.. Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models[J],2021,107(1). |
| APA | Małka A..(2021).Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models.Natural Hazards,107(1). |
| MLA | Małka A.."Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models".Natural Hazards 107.1(2021). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| [Małka A.]的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| [Małka A.]的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| [Małka A.]的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
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。
