气候变化领域集成服务门户(CCPortal): Paper Flooding and its relationship with land cover change, population growth, and road density

CCPortal

DOI	10.1016/j.gsf.2021.101224
	Paper Flooding and its relationship with land cover change, population growth, and road density
	Rahman, Mahfuzur; Ningsheng, Chen; Mahmud, Golam Iftekhar; Islam, Md Monirul; Pourghasemi, Hamid Reza; Ahmad, Hilal; Habumugisha, Jules Maurice; Washakh, Rana Muhammad Ali; Alam, Mehtab; Liu, Enlong; Han, Zheng; Ni, Huayong; Shufeng, Tian; Dewan, Ashraf
通讯作者	Pourghasemi, HR (通讯作者)
发表日期	2021
ISSN	1674-9871
卷号	12 期号:6
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/).
关键词	REMOTE-SENSING DATA RISK-ASSESSMENT RIVER-BASIN HAZARD REGION CLASSIFICATION REGRESSION DISTRICT NETWORK IMPACT
英文关键词	Hydro-climatic disasters; Machine learning algorithms; Statistical model; Ensemble model; Relative change in flooding areas
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:000714694300002
来源期刊	GEOSCIENCE FRONTIERS
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260535
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]. 中国科学院青藏高原研究所,2021,12(6).
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).
MLA	Rahman, Mahfuzur,et al."Paper Flooding and its relationship with land cover change, population growth, and road density".GEOSCIENCE FRONTIERS 12.6(2021).