A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding

15870 10 87348 2 248122 document 87348 feart-07-00044.pdf application/pdf b41923afc67e1f010ed24f9acddf6fbf MD5 264598 2019-04-23 11:47:17 https://pure.iiasa.ac.at/id/eprint/15870/1/feart-07-00044.pdf 15870 1 1 application/pdf text en public cc_by_4

feart-07-00044.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/87348 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/87348 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/87348 archive 2 disk0/00/01/58/70 2019-04-23 11:50:42 2024-09-09 12:55:12 2019-04-23 11:50:42 article show See L. 8571 0000-0002-2665-7065 A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding pub prog_esm pluvial flooding, urban flooding, citizen science, crowdsourcing, mobile apps, sensors Pluvial flooding can have devastating effects, both in terms of loss of life and damage. Predicting pluvial floods is difficult and many cities do not have a hydrodynamic model or an early warning system in place. Citizen science and crowdsourcing have the potential for contributing to early warning systems (EWS) and can also provide data for validating flood forecasting models. Although there are increasing applications of citizen science and crowdsourcing in fluvial hydrology, less is known about activities related to pluvial flooding. Hence the aim of this paper is to review current activities in citizen science and crowdsourcing with respect to applications of pluvial flooding. Based on a search in Scopus, the papers were first filtered for relevant content and then classified into four main themes. The first two themes were divided into (i) applications relevant during a flood event, which includes automated street flooding detection using crowdsourced photographs and sensors, analysis of social media, and online and mobile applications for flood reporting; and (ii) applications related to post-flood events. The use of citizen science and crowdsourcing for model development and validation is the third theme while the development of integrated systems is theme four. All four main areas of research have the potential to contribute to EWS and build community resilience. Moreover, developments in one will benefit others, e.g., further developments in flood reporting applications and automated flood detection systems will yield data useful for model validation. 2019-03-07 Frontiers 10.3389/feart.2019.00044 276 public Frontiers in Earth Science 7 Article: 44 TRUE 2296-6463 FFG (Austrian Agency for the Promotion of Science), ENSUF FloodCitiSense project (#860918) FALSE info:eu-repo/semantics/article