{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:02:55Z","timestamp":1750309375067,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T00:00:00Z","timestamp":1718928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,21]]},"DOI":"10.1145\/3690407.3690570","type":"proceedings-article","created":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T18:55:28Z","timestamp":1729796128000},"page":"982-989","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of Geological Hazard Vulnerability of China-Myanmar Natural Gas Pipeline at Luoxi River Section by Combining Informative Modeling and InSAR Deformation Result"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2624-2960","authenticated-orcid":false,"given":"Yi","family":"Jiang","sequence":"first","affiliation":[{"name":"Pipe China Southwest Pipeline Co.,Ltd., Chengdu, Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5805-6253","authenticated-orcid":false,"given":"Yuting","family":"Liu","sequence":"additional","affiliation":[{"name":"Pipe China Southwest Pipeline Co.,Ltd., Chengdu, Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7203-1336","authenticated-orcid":false,"given":"Yingchao","family":"Fang","sequence":"additional","affiliation":[{"name":"Pipe China Southwest Pipeline Co.,Ltd., Chengdu, Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7747-8836","authenticated-orcid":false,"given":"Wenkai","family":"Feng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4292-6054","authenticated-orcid":false,"given":"Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4059-3959","authenticated-orcid":false,"given":"Jiawei","family":"Dun","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,24]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"Research on Identification and Evaluation Methods of Geological Hazards along Oil and Gas Pipelines[D]","author":"Zhang Lei","year":"2020","unstructured":"Lei Zhang. Research on Identification and Evaluation Methods of Geological Hazards along Oil and Gas Pipelines[D]. Sichuan Normal University,2020."},{"issue":"11","key":"e_1_3_3_1_2_2","first-page":"162","article-title":"Evaluation of Pipeline Geological Hazard Susceptibility Based on the LR Model[J]","volume":"2022","author":"Zhao Yuwen","unstructured":"Yuwen Zhao. Evaluation of Pipeline Geological Hazard Susceptibility Based on the LR Model[J]. Chemical Management, 2022(11), 162-164.","journal-title":"Chemical Management"},{"key":"e_1_3_3_1_3_2","volume-title":"Pipeline Risk Management Handbook [M]","author":"Kent W.","year":"2005","unstructured":"W. Kent. Muhlbauer. Pipeline Risk Management Handbook [M]. China Petrochemical Press, 2005."},{"key":"e_1_3_3_1_4_2","first-page":"204","article-title":"Evaluation of Water Hazard in Pipeline River Channels Based on Extension Theory[J]","volume":"2015","author":"Sun Zhizhong","unstructured":"Zhizhong Sun, Shengxin Wang, Manyin Zhang. Evaluation of Water Hazard in Pipeline River Channels Based on Extension Theory[J]. Science Technology and Engineering,2015,15(29):204-210.","journal-title":"Science Technology and Engineering"},{"key":"e_1_3_3_1_5_2","unstructured":"Hongyuan Jing Jianbin He Yinjie Chen.Semi-quantitative Evaluation Method and Application for Pipeline Geological Hazard Risk[J]. Oil & Gas Storage and Transportation 2011 30(07) 497-500+474."},{"key":"e_1_3_3_1_6_2","first-page":"124","article-title":"Prediction of Reservoir Landslide Deformation Using BP Neural Network[J]","volume":"2013","author":"Yi Qinglin","unstructured":"Qinglin Yi, Huaien Zeng, Haifeng Huang. Prediction of Reservoir Landslide Deformation Using BP Neural Network[J]. Hydrogeology and Engineering Geology,2013,40(01), 124-128.","journal-title":"Hydrogeology and Engineering Geology"},{"key":"e_1_3_3_1_7_2","first-page":"154","article-title":"Evaluation of Geological Hazard Susceptibility in Guangdong Province Based on CF and Logistic Regression Models[J]","volume":"2016","author":"Tian Chunshan","unstructured":"Chunshan Tian, Xilin liu, Jia Wang. Evaluation of Geological Hazard Susceptibility in Guangdong Province Based on CF and Logistic Regression Models[J]. Hydrogeology and Engineering Geology,2016,43(6), 154-161+170.","journal-title":"Hydrogeology and Engineering Geology"},{"key":"e_1_3_3_1_8_2","first-page":"340","article-title":"Evaluation of Geological Hazard Susceptibility Based on Coupling Information Entropy Model and Logistic Regression Model[J]","volume":"2018","author":"Fan Zhiyin","unstructured":"Zhiyin Fan, Xiaofeng Gou, Mingyue Qin. Evaluation of Geological Hazard Susceptibility Based on Coupling Information Entropy Model and Logistic Regression Model[J]. Journal of Engineering Geology,2018,26(2), 340-347.","journal-title":"Journal of Engineering Geology"},{"key":"e_1_3_3_1_9_2","volume-title":"Ningxia Based on Remote Sensing and GIS[D]","author":"Zhang Xiaodong","year":"2018","unstructured":"Xiaodong Zhang. Research on Risk Assessment of Geological Hazards in Yanchi County, Ningxia Based on Remote Sensing and GIS[D]. China University of Geosciences (Beijing),2018."},{"key":"e_1_3_3_1_10_2","unstructured":"Binghu Wang Xuejun Ma Changqin Shao. Evaluation of Fissure Hazard based on Analytical Hierarchy Process and Information Entropy Method[J]. Exploration Engineering (Rock & Soil Drilling Engineering) 2018 45(10) 91-96."},{"key":"e_1_3_3_1_11_2","first-page":"220","article-title":"Application of Binary Logistic Regression and Information Entropy Model in Geological Hazard Zoning[J]","volume":"2017","author":"Du Qian","unstructured":"Qian Du, Wen Fan, Kai Li. Application of Binary Logistic Regression and Information Entropy Model in Geological Hazard Zoning[J]. Journal of Catastrophology,2017,32(2), 220-226.","journal-title":"Journal of Catastrophology"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12594-016-0395-8"},{"key":"e_1_3_3_1_13_2","first-page":"578","article-title":"Classification and Spatiotemporal Distribution Characteristics of Red Tide Disasters along the Fujian Coastal Zone from 2001 to 2020[J]","volume":"2021","author":"He Enye","unstructured":"Enye He, Xuanliang Ji, Xiao Li. Classification and Spatiotemporal Distribution Characteristics of Red Tide Disasters along the Fujian Coastal Zone from 2001 to 2020[J]. Marine Bulletin,2021,40(5), 578-590.","journal-title":"Marine Bulletin"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.3390\/s19122685"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.3390\/s22155587"}],"event":{"name":"CAIBDA 2024: 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","acronym":"CAIBDA 2024","location":"Zhengzhou China"},"container-title":["Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690407.3690570","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3690407.3690570","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:06:21Z","timestamp":1750291581000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690407.3690570"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,21]]},"references-count":15,"alternative-id":["10.1145\/3690407.3690570","10.1145\/3690407"],"URL":"https:\/\/doi.org\/10.1145\/3690407.3690570","relation":{},"subject":[],"published":{"date-parts":[[2024,6,21]]},"assertion":[{"value":"2024-10-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}