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  4. 山地灾害与地表过程重点实验室
Paper Flooding and its relationship with land cover change, population growth, and road density

文献类型：期刊论文

作者Rahman, Mahfuzur10,11,12; Ningsheng, Chen9,11,12; Mahmud, Golam Iftekhar8; Islam, Md Monirul10; Pourghasemi, Hamid Reza7; Ahmad, Hilal11,12; Habumugisha, Jules Maurice11,12; Washakh, Rana Muhammad Ali5,6; Alam, Mehtab11,12; Liu, Enlong4
刊名GEOSCIENCE FRONTIERS
出版日期2021-11-01
卷号12期号:6页码:20
ISSN号1674-9871
关键词Hydro-climatic disasters Machine learning algorithms Statistical model Ensemble model Relative change in flooding areas
DOI10.1016/j.gsf.2021.101224
英文摘要Bangladesh experiences frequent hydro-climatic disasters such as flooding. These disasters are believed to be associated with land use changes and climate variability. However, identifying the factors that lead to flooding is challenging. This study mapped flood susceptibility in the northeast region of Bangladesh using Bayesian regularization back propagation (BRBP) neural network, classification and regression trees (CART), a statistical model (STM) using the evidence belief function (EBF), and their ensemble models (EMs) for three time periods (2000, 2014, and 2017). The accuracy of machine learning algorithms (MLAs), STM, and EMs were assessed by considering the area under the curve-receiver operating characteristic (AUC-ROC). Evaluation of the accuracy levels of the aforementioned algorithms revealed that EM4 (BRBP-CART-EBF) outperformed (AUC > 90%) standalone and other ensemble models for the three time periods analyzed. Furthermore, this study investigated the relationships among land cover change (LCC), population growth (PG), road density (RD), and relative change of flooding (RCF) areas for the period between 2000 and 2017. The results showed that areas with very high susceptibility to flooding increased by 19.72% between 2000 and 2017, while the PG rate increased by 51.68% over the same period. The Pearson correlation coefficient for RCF and RD was calculated to be 0.496. These findings highlight the significant association between floods and causative factors. The study findings could be valuable to policymakers and resource managers as they can lead to improvements in flood management and reduction in flood damage and risks. (c) 2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
WOS关键词REMOTE-SENSING DATA ; RISK-ASSESSMENT ; RIVER-BASIN ; HAZARD ; REGION ; CLASSIFICATION ; REGRESSION ; DISTRICT ; NETWORK ; IMPACT
资助项目National Natural Science Foundation of China[41861134008] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP) of China[2019QZKK0902] ; National Key Research and Development Program of China[2018YFC1505202] ; Key R&D Projects of Sichuan Science and Technology[18ZDYF0329]
WOS研究方向Geology
语种英语
出版者CHINA UNIV GEOSCIENCES, BEIJING
WOS记录号WOS:000714694300002
资助机构National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP) of China ; National Key Research and Development Program of China ; Key R&D Projects of Sichuan Science and Technology
源URL[http://ir.imde.ac.cn/handle/131551/56159]  
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
中国科学院水利部成都山地灾害与环境研究所
通讯作者Pourghasemi, Hamid Reza
作者单位1.Curtin Univ, Sch Earth & Planetary Sci, Kent St, Bentley, WA 6102, Australia
2.China Geol Survey, Chengdu Inst Geol & Mineral Resources, Beijing, Peoples R China
3.Cent South Univ, Sch Civil Engn, Changsha 410075, Peoples R China
4.Sichuan Univ, Coll Water Resource & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China
5.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China
6.Neijiang Normal Univ, Sch Architecture, Neijiang 641100, Peoples R China
7.Shiraz Univ, Coll Agr, Dept Nat Resources & Environm Engn, Shiraz 71454, Iran
8.Dev Res Initiat, Dhaka 1216, Bangladesh
9.Acad Plateau Sci & Sustainabil, Xining 810016, Peoples R China
10.Int Univ Business Agr & Technol IUBAT, Dept Civil Engn, Dhaka 1230, Bangladesh
推荐引用方式
GB/T 7714		 Rahman, Mahfuzur,Ningsheng, Chen,Mahmud, Golam Iftekhar,et al. Paper Flooding and its relationship with land cover change, population growth, and road density[J]. GEOSCIENCE FRONTIERS,2021,12(6):20.
APA Rahman, Mahfuzur.,Ningsheng, Chen.,Mahmud, Golam Iftekhar.,Islam, Md Monirul.,Pourghasemi, Hamid Reza.,...&Dewan, Ashraf.(2021).Paper Flooding and its relationship with land cover change, population growth, and road density.GEOSCIENCE FRONTIERS,12(6),20.
MLA Rahman, Mahfuzur,et al."Paper Flooding and its relationship with land cover change, population growth, and road density".GEOSCIENCE FRONTIERS 12.6(2021):20.

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来源：成都山地灾害与环境研究所

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