气候变化领域集成服务门户(CCPortal): Newspapers as a validation proxy for GIS modeling in Fujairah, United Arab Emirates: identifying flood-prone areas

CCPortal

DOI	10.1007/s11069-020-04161-y
	Newspapers as a validation proxy for GIS modeling in Fujairah, United Arab Emirates: identifying flood-prone areas
	Yagoub M.M.; Alsereidi A.A.; Mohamed E.A.; Periyasamy P.; Alameri R.; Aldarmaki S.; Alhashmi Y.
发表日期	2020
ISSN	0921030X
起始页码	111
结束页码	141
卷号	104 期号:1
英文摘要	The UN Office for Disaster Risk Reduction listed 10 reasons businesses should reduce their disaster exposure, including risk factoring, which cannot be achieved without historical data about hazards, their locations, magnitudes, and frequencies. Substantial hazard data are reported by newspapers, which could add value to disaster management decision making. In this study, a text-mining program extracted keywords related to floods’ geographic location, date, and damages from newspaper analyses of flash floods in Fujairah, UAE, from 2000–2018. The paper describes extracting such information as well as geocoding and validating flood-prone areas generated through geographic information system (GIS) modeling. The generation of flood-prone areas was based on elevation, slope, land use, soil, and geology coupled with topographic wetness index, topographic position index, and curve number. Analytical Hierarchy Process (AHP) produced relative weight for each factor, and GIS map algebra generated flood-prone areas. AHP inclusion helped minimize weight subjectivity among various experts. Of all areas, 85% are considered medium and low flood-prone zones, mainly mountainous areas. However, the 15% that are high/very high are dominated by urban areas in low coastal plains, predisposing them to flash floods. Eighty-four percent of flood events reported by newspapers were in areas rated as high/very high flood-prone zones. In the absence of flood records, newspapers reports can be used as a reference. Policymakers should assess whether flood-prone area models offer accurate analyses. These findings are useful for organizations related to disaster management, urban planning, insurance, archiving, and documentation. © 2020, The Author(s).
关键词	Flash floods Flood-prone area map GIS Newspapers Text mining UAE
英文关键词	analytical hierarchy process; data mining; flash flood; flooding; GIS; mass media; modeling; topography; urban area; United Arab Emirates
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/206017
作者单位	Department of Geography and Urban Sustainability, College of Humanities and Social Sciences, UAE University, Al Ain, United Arab Emirates; Information Technology Department, College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates; Department of Civil Engineering, SRM University, KattankulathurKancheepuram, Tamil Nadu 603203, India
推荐引用方式 GB/T 7714	Yagoub M.M.,Alsereidi A.A.,Mohamed E.A.,et al. Newspapers as a validation proxy for GIS modeling in Fujairah, United Arab Emirates: identifying flood-prone areas[J],2020,104(1).
APA	Yagoub M.M..,Alsereidi A.A..,Mohamed E.A..,Periyasamy P..,Alameri R..,...&Alhashmi Y..(2020).Newspapers as a validation proxy for GIS modeling in Fujairah, United Arab Emirates: identifying flood-prone areas.Natural Hazards,104(1).
MLA	Yagoub M.M.,et al."Newspapers as a validation proxy for GIS modeling in Fujairah, United Arab Emirates: identifying flood-prone areas".Natural Hazards 104.1(2020).