气候变化领域集成服务门户(CCPortal): Big Data Approaches for coastal flood risk assessment and emergency response

CCPortal

DOI	10.1002/wcc.543
	Big Data Approaches for coastal flood risk assessment and emergency response
	Pollard J.A.; Spencer T.; Jude S.
发表日期	2018
ISSN	1757-7780
EISSN	1757-7779
卷号	9 期号:5
英文摘要	Big Data Approaches (BDAs) refers to the combined use of historic datasets, incoming data streams, and the array of related technologies designed to shed new light on societal and environmental complexities through novel organizational, storage, and analytical capabilities. Despite widespread recognition of the commercial benefits of BDAs, application in the environmental domain is less well articulated. This represents a missed opportunity given that the dimensions used to characterize BDAs (volume, variety, velocity, and veracity) appear apt in describing the intractable challenges posed by global climate change. This paper employs coastal flood risk management as an illustrative case study to explore the potential applications in the environmental domain. Trends in global change including accelerating sea level rise, concentration of people and assets in low-lying areas and deterioration of protective coastal ecosystems are expected to manifest locally as increased future flood risk. Two branches of coastal flood risk management are considered. First, coastal flood risk assessment, focusing on better characterization of hazard sources, facilitative pathways, and vulnerable receptors. Second, flood emergency response procedures, focusing on forecasting of flooding events, dissemination of warnings, and response monitoring. Critical commentary regarding technical, contextual, institutional, and behavioral barriers to the implementation of BDAs is offered throughout including a discussion of two fundamental difficulties associated with applying BDAs to coastal flood risk management: the role of BDAs in the broader flood system and the skill requirements for a generation of data scientists capable of implementing Big Data Approaches. This article is categorized under: Social Status of Climate Change Knowledge > Knowledge and Practice Climate, History, Society, Culture > Technological Aspects and Ideas. © 2018 The Authors. WIREs Climate Change published by Wiley Periodicals, Inc.
英文关键词	Big Data; coastal flood risk management; flood emergency response; flood risk assessment; source-pathway-receptor
语种	英语
scopus关键词	Big data; Climate change; Digital storage; Ecosystems; Emergency services; Environmental technology; Flood control; History; Information management; Risk assessment; Risk management; Sea level; Accelerating sea level rise; Coastal flood risks; Emergency response; Environmental complexity; Flood risk assessments; Global climate changes; Source-pathway-receptor; Technological aspects; Floods; coastal zone; flood; global change; risk assessment
来源期刊	Wiley Interdisciplinary Reviews: Climate Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/129945
作者单位	Department of Geography, University of Cambridge, Downing Place, Cambridge, United Kingdom; School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, United Kingdom
推荐引用方式 GB/T 7714	Pollard J.A.,Spencer T.,Jude S.. Big Data Approaches for coastal flood risk assessment and emergency response[J],2018,9(5).
APA	Pollard J.A.,Spencer T.,&Jude S..(2018).Big Data Approaches for coastal flood risk assessment and emergency response.Wiley Interdisciplinary Reviews: Climate Change,9(5).
MLA	Pollard J.A.,et al."Big Data Approaches for coastal flood risk assessment and emergency response".Wiley Interdisciplinary Reviews: Climate Change 9.5(2018).