Advanced Technologies for Offering Situational Intelligence in Flood Warning and Response Systems: A Literature Review

Samansiri, Srimal; Fernando, Terrence; Ingirige, Bingunath

Abstract

Deaths and property damage from floods have increased drastically in the past two decades due to various reasons such as increased populations, unplanned developments, and climate change. Such losses from floods can be reduced by issuing timely early warnings and through effective response mechanisms based on situational intelligence during emerging flood situations. This paper presents the outcome of a literature review that was conducted to identify the types and sources of the intelligence required for flood warning and response processes as well as the technology solutions that can be used for offering such intelligence. Twenty-seven different types of intelligence are presented together with the technologies that can be used to extract such intelligence. Furthermore, a conceptual architecture that illustrates how relevant technology solutions can be used to extract intelligence at various stages of a flood cycle for decision-making in issuing early warnings and planning responses is presented.

• Journal Article Type: Article
• Acceptance Date: Jun 23, 2022
• Online Publication Date: Jun 29, 2022
• Publication Date: Jun 29, 2022
• Deposit Date: Jun 23, 2022
• Publicly Available Date: Jul 1, 2022
• Journal: Water
• Electronic ISSN: 2073-4441
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 13
• Article Number: 2091
• DOI: https://doi.org/10.3390/w14132091