A systematic review of consequence modeling studies of the process accidents in Iran from 2006 to 2022
Analytical models and the prediction of accidents and their consequences are important tools for preventing accidents in the industry. Therefore, the present study was conducted to review process accident consequence modeling in Iran (2006–2022), helping improve incident modeling, and creating a con...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-02-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023007570 |
| _version_ | 1811161732025942016 |
|---|---|
| author | Mostafa Pouyakian Maryam Ashouri Shaghayegh Eidani Rohollah Fallah Madvari Fereydoon Laal |
| author_facet | Mostafa Pouyakian Maryam Ashouri Shaghayegh Eidani Rohollah Fallah Madvari Fereydoon Laal |
| author_sort | Mostafa Pouyakian |
| collection | DOAJ |
| description | Analytical models and the prediction of accidents and their consequences are important tools for preventing accidents in the industry. Therefore, the present study was conducted to review process accident consequence modeling in Iran (2006–2022), helping improve incident modeling, and creating a context for preventing these accidents. In this study, the articles of 5 international Embase Medline/PubMed databases, ProQuest, Scopus, Google Scholar, and Web of Science, and four Iranian databases SID, MagIran, IranMedex, and IranDoc were examined using the PRISMA checklist. After reviewing the studies, 40 articles were included in the final analysis. The results showed that 25 studies used PHAST software, 11 studies used ALOHA software and 4 studies used ALOHA and PHAST software together. The highest number of studies was conducted in Imam Khomeini Port and Asaluyeh city, respectively. In addition, the number of studies published in Persian was more than in other studies. There was no similar agreement between the results of the two software in providing correct results at low concentrations. PHAST software also provided more accurate results than ALOHA over longer distances in stable and relatively stable weather conditions. The study and identification of hazards and scenarios in the studies that used PHAST software were more, more accurate and more coherent than in the studies that used ALOHA software. It is suggested that in future studies the same scenario can be compared with PHAST, ALOHA, and newer modeling software such as Fire Dynamics Simulator (FDS). |
| first_indexed | 2024-04-10T06:19:12Z |
| format | Article |
| id | doaj.art-23748bb68725420b886b976c15f05ad3 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-10T06:19:12Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-23748bb68725420b886b976c15f05ad32023-03-02T05:02:05ZengElsevierHeliyon2405-84402023-02-0192e13550A systematic review of consequence modeling studies of the process accidents in Iran from 2006 to 2022Mostafa Pouyakian0Maryam Ashouri1Shaghayegh Eidani2Rohollah Fallah Madvari3Fereydoon Laal4Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, IranDepartment of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, IranDepartment of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, IranDepartment of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, IranSocial Determinants of Health Research Center, Department of Occupational Health Engineering, Birjand University of Medical Sciences, Birjand, Iran; Corresponding author.Analytical models and the prediction of accidents and their consequences are important tools for preventing accidents in the industry. Therefore, the present study was conducted to review process accident consequence modeling in Iran (2006–2022), helping improve incident modeling, and creating a context for preventing these accidents. In this study, the articles of 5 international Embase Medline/PubMed databases, ProQuest, Scopus, Google Scholar, and Web of Science, and four Iranian databases SID, MagIran, IranMedex, and IranDoc were examined using the PRISMA checklist. After reviewing the studies, 40 articles were included in the final analysis. The results showed that 25 studies used PHAST software, 11 studies used ALOHA software and 4 studies used ALOHA and PHAST software together. The highest number of studies was conducted in Imam Khomeini Port and Asaluyeh city, respectively. In addition, the number of studies published in Persian was more than in other studies. There was no similar agreement between the results of the two software in providing correct results at low concentrations. PHAST software also provided more accurate results than ALOHA over longer distances in stable and relatively stable weather conditions. The study and identification of hazards and scenarios in the studies that used PHAST software were more, more accurate and more coherent than in the studies that used ALOHA software. It is suggested that in future studies the same scenario can be compared with PHAST, ALOHA, and newer modeling software such as Fire Dynamics Simulator (FDS).http://www.sciencedirect.com/science/article/pii/S2405844023007570Consequence modelingProcess accidentsPHASTALOHASystematic review |
| spellingShingle | Mostafa Pouyakian Maryam Ashouri Shaghayegh Eidani Rohollah Fallah Madvari Fereydoon Laal A systematic review of consequence modeling studies of the process accidents in Iran from 2006 to 2022 Heliyon Consequence modeling Process accidents PHAST ALOHA Systematic review |
| title | A systematic review of consequence modeling studies of the process accidents in Iran from 2006 to 2022 |
| title_full | A systematic review of consequence modeling studies of the process accidents in Iran from 2006 to 2022 |
| title_fullStr | A systematic review of consequence modeling studies of the process accidents in Iran from 2006 to 2022 |
| title_full_unstemmed | A systematic review of consequence modeling studies of the process accidents in Iran from 2006 to 2022 |
| title_short | A systematic review of consequence modeling studies of the process accidents in Iran from 2006 to 2022 |
| title_sort | systematic review of consequence modeling studies of the process accidents in iran from 2006 to 2022 |
| topic | Consequence modeling Process accidents PHAST ALOHA Systematic review |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023007570 |
| work_keys_str_mv | AT mostafapouyakian asystematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 AT maryamashouri asystematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 AT shaghayegheidani asystematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 AT rohollahfallahmadvari asystematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 AT fereydoonlaal asystematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 AT mostafapouyakian systematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 AT maryamashouri systematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 AT shaghayegheidani systematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 AT rohollahfallahmadvari systematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 AT fereydoonlaal systematicreviewofconsequencemodelingstudiesoftheprocessaccidentsiniranfrom2006to2022 |