Published November 2017 | Version v1
Miscellaneous Metadata-only

Study on combination hazard curve of forest fire with lightning and strong wind

Creators

  • 1. Japan Atomic Energy Agency, Sector of Fast Reactor Research and Development, Oarai, Ibaraki (Japan)

Description

Forest fire hazard assessment methodologies using a logic tree have been applied for the evaluation of combination hazard curves of a forest fire with lightning as an initiator of a forest fire and with a strong wind being independent from a forest fire. The complex shape of the combinational hazard curve of forest fire and lighting is due to that both lightning and high velocity wind tend to appear under unstable weather conditions, and there is correlation between two hazards. The evaluated combinational hazard curve of forest fire and strong wind for the instantaneous wind velocity over 80 m/s has extremely small frequency in the range below 10-14/year. (author)

Part of:
Proceedings of Asian symposium on risk assessment and management (ASRAM 2017)

Additional details

Publishing Information

Imprint Title
Proceedings of Asian symposium on risk assessment and management (ASRAM 2017)
Imprint Pagination
575 p.
Journal Page Range
3 p.

Conference

Title
Asian symposium on risk assessment and management
Acronym
ASRAM 2017
Dates
13-15 Nov 2017
Place
Yokohama, Kanagawa (Japan)

INIS

Country of Publication
Japan
Country of Input or Organization
Japan
INIS RN
50008252
Subject category
S22: GENERAL STUDIES OF NUCLEAR REACTORS;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
COMPUTERIZED SIMULATION; CORRELATIONS; DATA BASE MANAGEMENT; FIRE HAZARDS; FIRES; FORESTS; MONTE CARLO METHOD; NATURAL DISASTERS; NUCLEAR POWER PLANTS; POWER LOSSES; PROBABILISTIC ESTIMATION; REACTOR SAFETY; RISK ASSESSMENT; TEMPERATURE DEPENDENCE; WEATHER
Descriptors DEC
CALCULATION METHODS; ENERGY LOSSES; HAZARDS; LOSSES; MANAGEMENT; NUCLEAR FACILITIES; POWER PLANTS; SAFETY; SIMULATION; THERMAL POWER PLANTS

Optional Information

Notes
Available as USB Flash Memory Data in PDF format, Folder Name: FullPaper, Paper ID: ASRAM2017-1029.pdf; 8 refs.