Bolide explosions are a natural hazard associated with meteoroids or asteroids entering Earth's atmosphere. Existing hazard models for predicting the frequencies, return periods, and occurrence probabilities of bolide explosion events were usually developed from a global perspective in terms of planetary defense and mitigation. Consequently, there is a lack of local hazard models for bolide explosions. This paper presents two empirical local hazard models for bolide explosions for the interest of local hazard management professionals and the general public. The proposed hazard models are based on parametrizations, with historical data, of regression models on relationships between released energy and frequency, latitude and frequency, and released energy and altitude of bolide explosion events. The proposed models can be used to predict the frequencies, return periods, and/or occurrence probabilities of bolide explosion events within a distance from a location as well as above an area on the surface of the planet on yearly and daily bases. The paper applies the proposed models to make predictions, as examples, for multiple places and the entire world. (C) 2020 American Society of Civil Engineers.
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Univ Salerno, Dept Management & Innovat Syst, Via Giovanni Paolo II 132, Fisciano, SA, ItalyUniv Salerno, Dept Management & Innovat Syst, Via Giovanni Paolo II 132, Fisciano, SA, Italy
Bisogno, Marco
Cuadrado-Ballesteros, Beatriz
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Univ Salamanca, Fac Econ, Campus Unamuno, Salamanca, Spain
Univ Salamanca, Multidisciplinary Inst Enterprise, Campus Unamuno, Salamanca, SpainUniv Salerno, Dept Management & Innovat Syst, Via Giovanni Paolo II 132, Fisciano, SA, Italy
Cuadrado-Ballesteros, Beatriz
Manes-Rossi, Francesca
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Univ Naples Federico II, Dept Econ Management Inst, Naples, ItalyUniv Salerno, Dept Management & Innovat Syst, Via Giovanni Paolo II 132, Fisciano, SA, Italy
Manes-Rossi, Francesca
Pena-Miguel, Noemi
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Univ Basque Country, Fac Econ & Business, Bilbao, SpainUniv Salerno, Dept Management & Innovat Syst, Via Giovanni Paolo II 132, Fisciano, SA, Italy
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South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Peoples R China
Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing, Peoples R ChinaSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Peoples R China
Zeng, Qiang
Wang, Xuesong
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Tongji Univ, Coll Transportat Engn, Shanghai, Peoples R ChinaSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Peoples R China
Wang, Xuesong
Wen, Huiying
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South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Peoples R China
Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing, Peoples R ChinaSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Peoples R China
Wen, Huiying
Yuan, Quan
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Tsinghua Univ, Sch Vehicle & Mobil, State Key Lab Automot Safety & Energy, Beijing, Peoples R ChinaSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Peoples R China