The influence of probabilistic volcanic hazard map properties on hazard communication

被引:0
|
作者
Thompson M.A. [1 ]
Lindsay J.M. [1 ]
Gaillard J.C. [1 ]
机构
[1] School of Environment, University of Auckland, Private Bag 92019, Auckland
关键词
Hazard communication; Hazard curve; Hazard maps; Interviews; Probabilistic volcanic hazard analysis; Stakeholders; Surveys;
D O I
10.1186/s13617-015-0023-0
中图分类号
学科分类号
摘要
Probabilistic volcanic hazard analysis is becoming an increasingly popular component of volcanic risk reduction strategies worldwide. While probabilistic hazard analyses offer many advantages for decision-making, displaying the statistical results of these analyses on a map presents new hazard communication challenges. Probabilistic information is complex, difficult to interpret, and associated with uncertainties. Conveying such complicated data on a static map image without careful consideration of user perspectives or context, may result in contrasting interpretations, misunderstandings, or aversion to using the map. Here, we present the results of interviews and surveys conducted with organisational stakeholders and scientists in New Zealand which explored how probabilistic volcanic hazard map properties influence map interpretation, understanding, and preference. Our results suggest that data classification, colour scheme, content, and key expression play important roles in how users engage with and interpret probabilistic volcanic hazard maps. Data classification was found to influence the participants' perceived uncertainty and data reading accuracy, with isarithmic style maps reducing uncertainty and increasing accuracy best. Colour scheme had a strong influence on the type of hazard messages interpreted, with a red-yellow scheme conveying the message of a hazard distribution (high to low), and a red-yellow-blue scheme conveying the message of hazard state (present or absent) and/or risk. Multiple types ofmap content were found to be useful, and hazard curves were viewed as valuable supplements. The concept of "confidence" was more easily interpreted than upper and lower percentiles when expressing uncertainty on the hazard curves. Numerical and verbal expression in the key also had an influence on interpretation, with a combination of both a percent (e.g., 25%) and a natural frequency (e.g., 1 in 4) "probability" being the most inclusive and widely-understood expression. The importance of these map property choices was underscored by a high portion of participants preferring to receive maps in unalterable formats, such as PDF. This study illustrates how engaging with users in a bottom-up approach can complement and enhance top-down approaches to volcanic hazard mapping through a collaborative and integrative design process which may help to prevent miscommunications in a future crisis when maps are likely to be drafted and disseminated rapidly. © 2015 Thompson et al.
引用
收藏
相关论文
共 50 条
  • [11] Probabilistic seismic hazard map of Papua New Guinea
    Ghasemi, Hadi
    McKee, Chris
    Leonard, Mark
    Cummins, Phil
    Moihoi, Mathew
    Spiro, Spiliopoulos
    Taranu, Felix
    Buri, Eric
    NATURAL HAZARDS, 2016, 81 (02) : 1003 - 1025
  • [12] Correction to: A probabilistic seismic hazard map for the metropolitan France
    Stéphane Drouet
    Gabriele Ameri
    Kristell Le Dortz
    Ramon Secanell
    Gloria Senfaute
    Bulletin of Earthquake Engineering, 2020, 18 : 4543 - 4545
  • [13] A probabilistic seismic hazard map of India and adjoining regions
    Bhatia, SC
    Kumar, MR
    Gupta, HK
    ANNALI DI GEOFISICA, 1999, 42 (06): : 1153 - 1164
  • [14] Volcanic hazard communication using maps: an evaluation of their effectiveness
    Katharine Haynes
    Jenni Barclay
    Nick Pidgeon
    Bulletin of Volcanology, 2007, 70 : 123 - 138
  • [15] Volcanic hazard communication using maps: an evaluation of their effectiveness
    Haynes, Katharine
    Barclay, Jenni
    Pidgeon, Nick
    BULLETIN OF VOLCANOLOGY, 2007, 70 (02) : 123 - 138
  • [16] PyBetVH: A Python']Python tool for probabilistic volcanic hazard assessment and for generation of Bayesian hazard curves and maps
    Tonini, Roberto
    Sandri, Laura
    Thompson, Mary Anne
    COMPUTERS & GEOSCIENCES, 2015, 79 : 38 - 46
  • [17] Hazard map for volcanic ballistic impacts at Popocatepetl volcano (Mexico)
    Alatorre-Ibargueengoitia, Miguel A.
    Delgado-Granados, Hugo
    Dingwell, Donald B.
    BULLETIN OF VOLCANOLOGY, 2012, 74 (09) : 2155 - 2169
  • [18] Development of a volcanic hazard model for New Zealand: First approaches from the methods of probabilistic seismic hazard analysis
    Stirling, M.W.
    Wilson, C.J.N.
    Bulletin of the New Zealand Society for Earthquake Engineering, 2002, 35 (04): : 266 - 277
  • [19] Probabilistic Seismic Hazard Analysis Based Zoning Map of Pakistan
    Ahmed, Muhammad
    Lodi, Sarosh Hashmat
    Rafi, Muhammad Masood
    JOURNAL OF EARTHQUAKE ENGINEERING, 2022, 26 (01) : 271 - 306
  • [20] THE HAZARD IN USING PROBABILISTIC SEISMIC HAZARD ANALYSIS
    KRINITZSKY, EL
    CIVIL ENGINEERING, 1993, 63 (11): : 60 - 61