A visual analytics approach for flood risk analysis and decision-making in cultural heritage. (August 2017)

• Record Type: Journal Article
• Authors: Li, Huibin; Zhang, Jiawan; Sun, Jizhou; Wang, Jindong
• Is Part Of: Journal of visual languages & computing. Volume 41(2017)
• Page Start: 89
• Page End: 99
• Publication Date: 2017-08
• Subjects: Cultural heritage -- Visual analytics -- Flood risk analysis and decision-making -- Simulation; Visual programming languages (Computer science) -- Periodicals; Visual programming (Computer science) -- Periodicals; Programming languages (Electronic computers) -- Semantics -- Periodicals; Langages de programmation visuelle -- Périodiques; Programmation visuelle -- Périodiques; Langages de programmation -- Sémantique -- Périodiques; Programming languages (Electronic computers) -- Semantics; Visual programming (Computer science); Visual programming languages (Computer science); Periodicals; Electronic journals; 005
• DOI: 10.1016/j.jvlc.2017.05.001
• Languages: English
• ISSNs: 1045-926X

Abstract

Abstract: World cultural heritage is the accumulation and essence of the development of human civilization, as well as the rare and irreplaceable treasures bestowed by history. However, cultural heritage is increasingly exposed to various risks caused by natural and man-made factors. Flood risk is the most common and the most devastating risk for cultural heritage. This study proposes a visual analytics method that supports the visual analysis of flood risk from multiple aspects, including predicted flood peak flow, flood propagation, flood impact, and vulnerability. The proposed method can also provide the required information from multiple scales, including the basin-, site-, multi-cave-, and single-cave-scale levels. The combination of the visualization techniques of flood risk analysis will enable the proposed method to support users to make decisions with respect to mitigation measures. Lastly, the proposed method is evaluated by water experts and cultural heritage site managers.