Web Crowdsourcing for Coastal Flood Prevention and Management

Sihang Qiu, Yatai Ji, Zhengqiu Zhu, Yong Zhao, Rusheng Ju, Xiao Wang

Abstract: Coastal floods have been causing massive casualties and economic loss to human societies. To better understand and manage coastal floods, existing research has comprehensively studied their physical processes, but we still face the challenges of inaccurate predictions, insufficient information, and imprecise management. Web crowdsourcing has emerged as an effective tool to collect and leverage crowd intelligence. However, there is a research gap in terms of using web crowdsourcing to aid flood disaster prevention and management. Therefore, in this poster, we present a crowdsourcing design that uses various web applications and technologies, to improve flood prediction, collect necessary information, and help in management optimization.

External IDs:dblp:conf/icwe/QiuJZZJW24