气候变化领域集成服务门户(CCPortal): Citizen observations contributing to flood modelling: Opportunities and challenges

CCPortal

DOI	10.5194/hess-22-1473-2018
	Citizen observations contributing to flood modelling: Opportunities and challenges
	Assumpção T.H.; Popescu I.; Jonoski A.; Solomatine D.P.
发表日期	2018
ISSN	1027-5606
起始页码	1473
结束页码	1489
卷号	22 期号:2
英文摘要	Citizen contributions to science have been successfully implemented in many fields, and water resources is one of them. Through citizens, it is possible to collect data and obtain a more integrated decision-making process. Specifically, data scarcity has always been an issue in flood modelling, which has been addressed in the last decades by remote sensing and is already being discussed in the citizen science context. With this in mind, this article aims to review the literature on the topic and analyse the opportunities and challenges that lie ahead. The literature on monitoring, mapping and modelling, was evaluated according to the flood-related variable citizens contributed to. Pros and cons of the collection/analysis methods were summarised. Then, pertinent publications were mapped into the flood modelling cycle, considering how citizen data properties (spatial and temporal coverage, uncertainty and volume) are related to its integration into modelling. It was clear that the number of studies in the area is rising. There are positive experiences reported in collection and analysis methods, for instance with velocity and land cover, and also when modelling is concerned, for example by using social media mining. However, matching the data properties necessary for each part of the modelling cycle with citizen-generated data is still challenging. Nevertheless, the concept that citizen contributions can be used for simulation and forecasting is proved and further work lies in continuing to develop and improve not only methods for collection and analysis, but certainly for integration into models as well. Finally, in view of recent automated sensors and satellite technologies, it is through studies as the ones analysed in this article that the value of citizen contributions, complementing such technologies, is demonstrated. © Author(s) 2018.
语种	英语
scopus关键词	Decision making; Floods; Remote sensing; Water resources; Analysis method; Automated sensors; Integrated decision-making process; Positive experiences; Related variables; Satellite technology; Social media minings; Temporal coverage; Uncertainty analysis; decision making; flood; hydrological modeling; literature review; remote sensing; social media; water resource
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160099
作者单位	Assumpção, T.H., Integrated Water Systems and Governance, IHE Delft, Delft, Netherlands; Popescu, I., Integrated Water Systems and Governance, IHE Delft, Delft, Netherlands; Jonoski, A., Integrated Water Systems and Governance, IHE Delft, Delft, Netherlands; Solomatine, D.P., Integrated Water Systems and Governance, IHE Delft, Delft, Netherlands, Water Resources Section, Delft University of Technology, Delft, Netherlands
推荐引用方式 GB/T 7714	Assumpção T.H.,Popescu I.,Jonoski A.,et al. Citizen observations contributing to flood modelling: Opportunities and challenges[J],2018,22(2).
APA	Assumpção T.H.,Popescu I.,Jonoski A.,&Solomatine D.P..(2018).Citizen observations contributing to flood modelling: Opportunities and challenges.Hydrology and Earth System Sciences,22(2).
MLA	Assumpção T.H.,et al."Citizen observations contributing to flood modelling: Opportunities and challenges".Hydrology and Earth System Sciences 22.2(2018).