Leakage Diffusion Modeling of Key Nodes of Gas Pipeline Network Based on Leakage Concentration
In order to achieve the prediction and early warning of city gas pipe network leakage accidents, as well as to provide rapid and precise support for emergency response to such accidents, this study focuses on a Gaussian diffusion model applied to a large urban gas pipeline network. Specifically, it...
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Veröffentlicht in: | Sustainability 2024-01, Vol.16 (1), p.91 |
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creator | Li, Hao-Peng Chen, Liang-Chao Dou, Zhan Min, Yi-Meng Wang, Qian-Lin Yang, Jian-Feng Zhang, Jian-Wen |
description | In order to achieve the prediction and early warning of city gas pipe network leakage accidents, as well as to provide rapid and precise support for emergency response to such accidents, this study focuses on a Gaussian diffusion model applied to a large urban gas pipeline network. Specifically, it investigates the gas gate wells, which are key nodes in the pipeline network, to develop a leakage model. The objective is to analyze the variation in internal gas concentration in the gate wells and determine the range of danger posed by external gas diffusion from the gate wells. In addition, Fluent simulation is utilized to compare the accuracy of the model’s calculations. The findings of this study indicate that the gas concentration inside the gate well, as predicted by the model fitting results and Fluent simulation, exhibit a high level of agreement, with coefficient of determination (R2) values exceeding 0.99. Moreover, when predicting the hazardous distance of gas leakage outside the gate well, the model’s results show an average relative error of 0.15 compared to the Fluent simulation results. This demonstrates that the model is highly accurate and meets the practical application requirements. |
doi_str_mv | 10.3390/su16010091 |
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Specifically, it investigates the gas gate wells, which are key nodes in the pipeline network, to develop a leakage model. The objective is to analyze the variation in internal gas concentration in the gate wells and determine the range of danger posed by external gas diffusion from the gate wells. In addition, Fluent simulation is utilized to compare the accuracy of the model’s calculations. The findings of this study indicate that the gas concentration inside the gate well, as predicted by the model fitting results and Fluent simulation, exhibit a high level of agreement, with coefficient of determination (R2) values exceeding 0.99. Moreover, when predicting the hazardous distance of gas leakage outside the gate well, the model’s results show an average relative error of 0.15 compared to the Fluent simulation results. This demonstrates that the model is highly accurate and meets the practical application requirements.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su16010091</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Emergency communications systems ; Fatalities ; Fluid dynamics ; Gas leaks ; Gas transmission industry ; International economic relations ; Natural gas ; Pipe lines ; Simulation ; Urban areas ; Ventilation</subject><ispartof>Sustainability, 2024-01, Vol.16 (1), p.91</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c327t-44bc5a9303bf013ff49b4fea57e4dc4c5b729b073810e680a0e38412609a9c5a3</cites><orcidid>0000-0003-4218-2116</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Li, Hao-Peng</creatorcontrib><creatorcontrib>Chen, Liang-Chao</creatorcontrib><creatorcontrib>Dou, Zhan</creatorcontrib><creatorcontrib>Min, Yi-Meng</creatorcontrib><creatorcontrib>Wang, Qian-Lin</creatorcontrib><creatorcontrib>Yang, Jian-Feng</creatorcontrib><creatorcontrib>Zhang, Jian-Wen</creatorcontrib><title>Leakage Diffusion Modeling of Key Nodes of Gas Pipeline Network Based on Leakage Concentration</title><title>Sustainability</title><description>In order to achieve the prediction and early warning of city gas pipe network leakage accidents, as well as to provide rapid and precise support for emergency response to such accidents, this study focuses on a Gaussian diffusion model applied to a large urban gas pipeline network. 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This demonstrates that the model is highly accurate and meets the practical application requirements.</description><subject>Emergency communications systems</subject><subject>Fatalities</subject><subject>Fluid dynamics</subject><subject>Gas leaks</subject><subject>Gas transmission industry</subject><subject>International economic relations</subject><subject>Natural gas</subject><subject>Pipe lines</subject><subject>Simulation</subject><subject>Urban areas</subject><subject>Ventilation</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpVkclOwzAQhi0EElXphSewxAmklHGcpT6WAqWiFMRyJXKcceQucYkTQd8eVwVB7YNn-f7fIw0hpwz6nAu4dC1LgAEIdkA6IaQsYBDD4b_4mPScm4M_nDPBkg55n6JcyBLptdG6dcZW9MEWuDRVSa2m97ihM5-7bTKWjj6Z9baJdIbNp60X9Eo6LKiX_RqNbKWwamrZeLMTcqTl0mHv5-2St9ub19FdMH0cT0bDaaB4mDZBFOUqloIDzzUwrnUk8kijjFOMChWpOE9DkUPKBwwwGYAE5IOIhQkIKbySd8nZzndd248WXZPNbVtX_suMe0ykXDDuqf6OKuUSM1Np68dU_ha4MspWqI2vD9NU8JjFfpAuOd8TeKbBr6aUrXPZ5OV5n73Ysaq2ztWos3VtVrLeZAyy7X6yv_3wbwiof5A</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Li, Hao-Peng</creator><creator>Chen, Liang-Chao</creator><creator>Dou, Zhan</creator><creator>Min, Yi-Meng</creator><creator>Wang, Qian-Lin</creator><creator>Yang, Jian-Feng</creator><creator>Zhang, Jian-Wen</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0003-4218-2116</orcidid></search><sort><creationdate>20240101</creationdate><title>Leakage Diffusion Modeling of Key Nodes of Gas Pipeline Network Based on Leakage Concentration</title><author>Li, Hao-Peng ; Chen, Liang-Chao ; Dou, Zhan ; Min, Yi-Meng ; Wang, Qian-Lin ; Yang, Jian-Feng ; Zhang, Jian-Wen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-44bc5a9303bf013ff49b4fea57e4dc4c5b729b073810e680a0e38412609a9c5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Emergency communications systems</topic><topic>Fatalities</topic><topic>Fluid dynamics</topic><topic>Gas leaks</topic><topic>Gas transmission industry</topic><topic>International economic relations</topic><topic>Natural gas</topic><topic>Pipe lines</topic><topic>Simulation</topic><topic>Urban areas</topic><topic>Ventilation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Hao-Peng</creatorcontrib><creatorcontrib>Chen, Liang-Chao</creatorcontrib><creatorcontrib>Dou, Zhan</creatorcontrib><creatorcontrib>Min, Yi-Meng</creatorcontrib><creatorcontrib>Wang, Qian-Lin</creatorcontrib><creatorcontrib>Yang, Jian-Feng</creatorcontrib><creatorcontrib>Zhang, Jian-Wen</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Hao-Peng</au><au>Chen, Liang-Chao</au><au>Dou, Zhan</au><au>Min, Yi-Meng</au><au>Wang, Qian-Lin</au><au>Yang, Jian-Feng</au><au>Zhang, Jian-Wen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Leakage Diffusion Modeling of Key Nodes of Gas Pipeline Network Based on Leakage Concentration</atitle><jtitle>Sustainability</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>16</volume><issue>1</issue><spage>91</spage><pages>91-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>In order to achieve the prediction and early warning of city gas pipe network leakage accidents, as well as to provide rapid and precise support for emergency response to such accidents, this study focuses on a Gaussian diffusion model applied to a large urban gas pipeline network. Specifically, it investigates the gas gate wells, which are key nodes in the pipeline network, to develop a leakage model. The objective is to analyze the variation in internal gas concentration in the gate wells and determine the range of danger posed by external gas diffusion from the gate wells. In addition, Fluent simulation is utilized to compare the accuracy of the model’s calculations. The findings of this study indicate that the gas concentration inside the gate well, as predicted by the model fitting results and Fluent simulation, exhibit a high level of agreement, with coefficient of determination (R2) values exceeding 0.99. Moreover, when predicting the hazardous distance of gas leakage outside the gate well, the model’s results show an average relative error of 0.15 compared to the Fluent simulation results. 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subjects | Emergency communications systems Fatalities Fluid dynamics Gas leaks Gas transmission industry International economic relations Natural gas Pipe lines Simulation Urban areas Ventilation |
title | Leakage Diffusion Modeling of Key Nodes of Gas Pipeline Network Based on Leakage Concentration |
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