FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3118122414> ?p ?o ?g. }

• W3118122414 endingPage "144371" @default.
• W3118122414 startingPage "144371" @default.
• W3118122414 abstract "Extreme weather events are occurring more frequently as a result of climate change. In October 2019, eastern Japan was hit by Hagibis, a large and high-speed typhoon. This unprecedented typhoon caused the evacuation of over 4000 people, injured more than 300 people, and damaged more than 98,000 dwellings throughout the affected area. Because floods are one of the most devastating natural disasters in Asia, providing an effective early warning system (EWS) is critical to reducing disaster impacts. However, warnings based only on natural hazard monitoring do not offer sufficient protection. Integrating natural hazard monitoring and social media data could improve warning systems to enhance the awareness of disaster managers and citizens about emergency events. We analyzed time-series data including rainfall intensity, 90-min-effective rainfall, and river water level as well as Twitter data related to disaster events during the 5-day period from 11 to 15 October, focusing on the most affected areas in Japan. The analysis included more than 60,000 tweets. Our analysis confirmed the utility of the statistical approach of outbreak detection with social media data in the early detection and local identification of multiple-flood events, and the results from the municipality-level analyses show that tweet frequencies related to the flood disaster ontological categories were significantly correlated to temporal variations in the hazard monitoring data. Thus, flood detection at the administrative level using social media data combined with current hazard monitoring data can enable a decision-driven EWS design. Interactive approaches for decision-making and knowledge production should continue to be considered in the face of climate-change-induced disasters." @default.
• W3118122414 created "2021-01-05" @default.
• W3118122414 creator A5001054314 @default.
• W3118122414 creator A5005097694 @default.
• W3118122414 creator A5017900980 @default.
• W3118122414 creator A5022426209 @default.
• W3118122414 creator A5033124602 @default.
• W3118122414 date "2021-05-01" @default.
• W3118122414 modified "2023-10-18" @default.
• W3118122414 title "Emergency flood detection using multiple information sources: Integrated analysis of natural hazard monitoring and social media data" @default.
• W3118122414 cites W2027376987 @default.
• W3118122414 cites W2030191585 @default.
• W3118122414 cites W2075693754 @default.
• W3118122414 cites W2150427470 @default.
• W3118122414 cites W2238169501 @default.
• W3118122414 cites W2284566184 @default.
• W3118122414 cites W2329659902 @default.
• W3118122414 cites W2365482340 @default.
• W3118122414 cites W2586673608 @default.
• W3118122414 cites W2766022134 @default.
• W3118122414 cites W2770897355 @default.
• W3118122414 cites W2782760983 @default.
• W3118122414 cites W2789635557 @default.
• W3118122414 cites W2793109577 @default.
• W3118122414 cites W2898175534 @default.
• W3118122414 cites W2902598573 @default.
• W3118122414 cites W2905008231 @default.
• W3118122414 cites W2915666916 @default.
• W3118122414 cites W2963370739 @default.
• W3118122414 cites W2965107913 @default.
• W3118122414 cites W2991962190 @default.
• W3118122414 cites W3000897236 @default.
• W3118122414 cites W3090162749 @default.
• W3118122414 cites W3101119896 @default.
• W3118122414 cites W3105047319 @default.
• W3118122414 cites W340672807 @default.
• W3118122414 cites W4213101497 @default.
• W3118122414 doi "https://doi.org/10.1016/j.scitotenv.2020.144371" @default.
• W3118122414 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33450588" @default.
• W3118122414 hasPublicationYear "2021" @default.
• W3118122414 type Work @default.
• W3118122414 sameAs 3118122414 @default.
• W3118122414 citedByCount "23" @default.
• W3118122414 countsByYear W31181224142021 @default.
• W3118122414 countsByYear W31181224142022 @default.
• W3118122414 countsByYear W31181224142023 @default.
• W3118122414 crossrefType "journal-article" @default.
• W3118122414 hasAuthorship W3118122414A5001054314 @default.
• W3118122414 hasAuthorship W3118122414A5005097694 @default.
• W3118122414 hasAuthorship W3118122414A5017900980 @default.
• W3118122414 hasAuthorship W3118122414A5022426209 @default.
• W3118122414 hasAuthorship W3118122414A5033124602 @default.
• W3118122414 hasConcept C107826830 @default.
• W3118122414 hasConcept C136764020 @default.
• W3118122414 hasConcept C153294291 @default.
• W3118122414 hasConcept C166566181 @default.
• W3118122414 hasConcept C166957645 @default.
• W3118122414 hasConcept C18903297 @default.
• W3118122414 hasConcept C205649164 @default.
• W3118122414 hasConcept C2522767166 @default.
• W3118122414 hasConcept C39410599 @default.
• W3118122414 hasConcept C39432304 @default.
• W3118122414 hasConcept C41008148 @default.
• W3118122414 hasConcept C49261128 @default.
• W3118122414 hasConcept C518677369 @default.
• W3118122414 hasConcept C74256435 @default.
• W3118122414 hasConcept C86803240 @default.
• W3118122414 hasConceptScore W3118122414C107826830 @default.
• W3118122414 hasConceptScore W3118122414C136764020 @default.
• W3118122414 hasConceptScore W3118122414C153294291 @default.
• W3118122414 hasConceptScore W3118122414C166566181 @default.
• W3118122414 hasConceptScore W3118122414C166957645 @default.
• W3118122414 hasConceptScore W3118122414C18903297 @default.
• W3118122414 hasConceptScore W3118122414C205649164 @default.
• W3118122414 hasConceptScore W3118122414C2522767166 @default.
• W3118122414 hasConceptScore W3118122414C39410599 @default.
• W3118122414 hasConceptScore W3118122414C39432304 @default.
• W3118122414 hasConceptScore W3118122414C41008148 @default.
• W3118122414 hasConceptScore W3118122414C49261128 @default.
• W3118122414 hasConceptScore W3118122414C518677369 @default.
• W3118122414 hasConceptScore W3118122414C74256435 @default.
• W3118122414 hasConceptScore W3118122414C86803240 @default.
• W3118122414 hasLocation W31181224141 @default.
• W3118122414 hasOpenAccess W3118122414 @default.
• W3118122414 hasPrimaryLocation W31181224141 @default.
• W3118122414 hasRelatedWork W2031056270 @default.
• W3118122414 hasRelatedWork W2077841552 @default.
• W3118122414 hasRelatedWork W2260558043 @default.
• W3118122414 hasRelatedWork W2781387313 @default.
• W3118122414 hasRelatedWork W3081426071 @default.
• W3118122414 hasRelatedWork W4214876424 @default.
• W3118122414 hasRelatedWork W4243395840 @default.
• W3118122414 hasRelatedWork W4294242514 @default.
• W3118122414 hasRelatedWork W4317425110 @default.
• W3118122414 hasRelatedWork W3112949634 @default.
• W3118122414 hasVolume "767" @default.
• W3118122414 isParatext "false" @default.
• W3118122414 isRetracted "false" @default.

• next