气候变化领域集成服务门户(CCPortal): Near-real-time drought impact assessment: A text mining approach on the 2018/19 drought in Germany

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DOI	10.1088/1748-9326/aba4ca
	Near-real-time drought impact assessment: A text mining approach on the 2018/19 drought in Germany
	Madruga De Brito M.; Kuhlicke C.; Marx A.
发表日期	2020
ISSN	17489318
卷号	15 期号:10
英文摘要	Contemporary drought impact assessments have been constrained due to data availability, leading to an incomplete representation of impact trends. To address this, we present a novel method for the comprehensive and near-real-time monitoring of drought socio-economic impacts based on media reports. We tested its application using the case of the exceptional 2018/19 German drought. By employing text mining techniques, 4839 impact statements were identified, relating to livestock, agriculture, forestry, fires, recreation, energy and transport sectors. An accuracy of 95.6% was obtained for their automatic classification. Furthermore, high levels of performance in terms of spatial and temporal precision were found when validating our results against independent data (e.g. soil moisture, average precipitation, population interest in droughts, crop yield and forest fire statistics). The findings highlight the applicability of media data for rapidly and accurately monitoring the propagation of drought consequences over time and space. We anticipate our method to be used as a starting point for an impact-based early warning system. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	drought impacts; Germany; newspaper; text analytics; validation
语种	英语
scopus关键词	Agricultural robots; Deforestation; Drought; Population statistics; Soil moisture; Automatic classification; Early Warning System; Impact assessments; Near-real-time monitoring; Socio-economic impacts; Temporal precision; Text mining techniques; Transport sectors; Text mining; data mining; drought; environmental impact; real time; spatiotemporal analysis; Germany
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153558
作者单位	Department of Urban and Environmental Sociology, UFZ-Helmholtz Centre for Environmental Research, Permoserstraße 15, Leipzig, 04318, Germany; Institute for Environmental Sciences and Geography, University of Potsdam, Potsdam-Golm, 14468, Germany; Department of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Permoserstraße 15, Leipzig, 04318, Germany
推荐引用方式 GB/T 7714	Madruga De Brito M.,Kuhlicke C.,Marx A.. Near-real-time drought impact assessment: A text mining approach on the 2018/19 drought in Germany[J],2020,15(10).
APA	Madruga De Brito M.,Kuhlicke C.,&Marx A..(2020).Near-real-time drought impact assessment: A text mining approach on the 2018/19 drought in Germany.Environmental Research Letters,15(10).
MLA	Madruga De Brito M.,et al."Near-real-time drought impact assessment: A text mining approach on the 2018/19 drought in Germany".Environmental Research Letters 15.10(2020).