<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Journal of Human Environment and Health Promotion</title>
<title_fa>مجله انسان، محیط زیست و ارتقاء سلامت</title_fa>
<short_title>jhehp</short_title>
<subject>Medical Sciences</subject>
<web_url>http://jhehp.zums.ac.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2476-5481</journal_id_issn>
<journal_id_issn_online>2476-549x</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>10.66224/jhehp</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1394</year>
	<month>9</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2015</year>
	<month>12</month>
	<day>1</day>
</pubdate>
<volume>1</volume>
<number>1</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Comparison of Risk Assessment Using HAZOP and ETBA Techniques: Case Study of a Gasoline Refinery Unit in Iran</title>
	<subject_fa>Occupational and Industrial Health</subject_fa>
	<subject>Occupational and Industrial Health</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Original Article</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;p&gt;&lt;span style=&quot;font-size:14px;&quot;&gt;&lt;span style=&quot;font-family: times new roman;&quot;&gt;&lt;strong&gt;Background;&lt;/strong&gt; Prevention of accidents&amp;mdash;a crucial requirement in oil industries&amp;mdash;involves hazard recognition, risk assessment, and corrective actions. The purpose of this study was to compare the ETBA and HAZOP techniques for risk assessment in a gasoline refinery unit.&lt;br&gt;
&lt;strong&gt;Methods;&lt;/strong&gt; In this case study, data were collected using process flow diagram, walking&amp;ndash;talking through method, piping and instrumentation diagram, and direct observations. Worksheets for both techniques were filled on the basis of the risk assessment matrix MIL-STD-882E.&lt;br&gt;
&lt;strong&gt;Results;&lt;/strong&gt; The HAZOP method identified 44 deviations attributable to 118 causes. In addition, 11.37% of the identified hazards were associated with unacceptable risk, and 36.36%, with unfavorable risk. The ETBA method detected 10 groups of energy (24 subgroups); 33 hazards were detected, 10.62% of which were associated with unacceptable risk.&lt;br&gt;
&lt;strong&gt;Conclusion;&lt;/strong&gt; HAZOP proved to be the more powerful technique for the prediction and identification of hazards. However, ETBA detected certain hazards that were not identifiable using HAZOP. Therefore, a combination of these two methods is desirable for the assessment of hazard risk in process industries.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Oil Refinery, Hazard, ETBA, HAZOP</keyword>
	<start_page>19</start_page>
	<end_page>27</end_page>
	<web_url>http://jhehp.zums.ac.ir/browse.php?a_code=A-10-28-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Sedigheh</first_name>
	<middle_name></middle_name>
	<last_name>Abbasi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>arghami@zums.ac.ir</email>
	<code>10031947532846009276</code>
	<orcid>10031947532846009276</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Occupational Health, Zanjan University of Medical Sciences, Zanjan, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Shakiba</first_name>
	<middle_name></middle_name>
	<last_name>Bakhtom</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>Sh.bakhtom@gmail.com</email>
	<code>10031947532846009277</code>
	<orcid>10031947532846009277</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Occupational Health, Zanjan University of Medical Sciences, Zanjan, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mansour</first_name>
	<middle_name></middle_name>
	<last_name>Ziaei</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>Ziaei@kums.ac.ir</email>
	<code>10031947532846009278</code>
	<orcid>10031947532846009278</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Occupational Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Shirazeh</first_name>
	<middle_name></middle_name>
	<last_name>Arghami</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>arghami@zums.ac.ir</email>
	<code>10031947532846009279</code>
	<orcid>10031947532846009279</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of Occupational Health, Zanjan University of Medical Sciences, Zanjan, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
