Ajou University repository

Journal of Loss Prevention in the Process Industries
ISSN
  • E1873-3352
  • P0950-4230
Publisher

Elsevier BV

Listed on
(Coverage)

JCR1997-2023

SJR1999-2020;2022-2023

CiteScore2011-2023

SCIE2010-2024

CC2016-2024

SCOPUS2017-2024

Active
Active

based on the information

  • SCOPUS:2024-10
Country
ENGLAND
Aime & Scopes
The broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals. The focus of the journal is on loss prevention as practiced in the process industries with an emphasis on chemical and process plant safety. This emphasis will be readily identified in manuscripts that make extensive reference to the process safety literature. Regardless of the nature or origin of the manuscript, there must be a clearly defined and explicitly explained original research contribution to the field of process safety. Topics eligible for consideration by the journal include: /// Process safety management /// Process safety culture /// Process safety risk assessment /// Incident investigation /// Design and reliability of protective systems /// Plant layout, maintenance and modification /// Process alarm management /// Emergency planning /// Transportation of hazardous materials /// Offshore oil and gas safety /// Process fires /// Gas explosions /// Dust explosions /// Dispersion of toxic materials /// Runaway reactions /// Inherently safer design /// Human error/human factors /// Process security /// Process security management /// Process security risk assessment /// Process safety decision-making and economic issues /// Process safety education and training /// Other process safety topics not identified in the above list
Article List

Showing results 1 to 4 of 4

Machine learning based quantitative consequence prediction models for toxic dispersion casualty
  • 2023-02-01
  • Journal of Loss Prevention in the Process Industries, Vol.81
  • Elsevier Ltd
3-D dispersion model for simulation of accidental toxic gas releases in a metropolitan area
  • 2021-03-01
  • Journal of Loss Prevention in the Process Industries, Vol.69
  • Elsevier Ltd
Numerical modelling for effect of water curtain in mitigating toxic gas releaseoa mark
  • 2020-01-01
  • Journal of Loss Prevention in the Process Industries, Vol.63
  • Elsevier Ltd
Prediction of issuance of emergency evacuation orders for chemical accidents using machine learning algorithm
  • 2018-11-01
  • Journal of Loss Prevention in the Process Industries, Vol.56, pp.162-169
  • Elsevier Ltd
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