A Multidimensional Study of the 2023 Beijing Extreme Rainfall: Theme, Location, and Sentiment Based on Social Media Data

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datacite.relatedItem.firstPage136
datacite.relatedItem.issue4
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datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume14
dc.contributor.authorXun Zhang
dc.contributor.authorXin Zhang
dc.contributor.authorYingchun Zhang
dc.contributor.authorYing Liu
dc.contributor.authorRui Zhou
dc.contributor.authorAbdureyim Raxidin
dc.contributor.authorMin Li
dc.date.accessioned2025-05-14T17:09:04Z
dc.date.available2025-05-14T17:09:04Z
dc.date.issued2025
dc.identifier.doihttps://doi.org/10.3390/ijgi14040136
dc.identifier.otherjz000158-0159
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33112
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleA Multidimensional Study of the 2023 Beijing Extreme Rainfall: Theme, Location, and Sentiment Based on Social Media Data
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33113
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