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Xiaojun D, Weiyi H, Jianghong X, Peng W, Xi M. Pipeline multi-type high consequence area identification based on mask R-CNN with fused attention mechanisms. Sci Rep 2024; 14:19039. [PMID: 39152188 PMCID: PMC11329497 DOI: 10.1038/s41598-024-69859-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 08/09/2024] [Indexed: 08/19/2024] Open
Abstract
Identification of high consequence areas is an important task in pipeline integrity management. However, traditional identification methods are generally characterized by low efficiency, high cost and low accuracy. For this reason, this paper proposes a recognition method based on the improved algorithm Mask Region-based Convolutional Neural Network. Coordinate attention mechanism module is introduced into the traditional Mask R-CNN algorithm to improve the recognition accuracy and reduce the training time. For the identification results, GIS tools are utilized to establish high consequence zones along both sides of the pipeline, and the grade and scope of the high consequence zones are determined according to relevant specifications.In this paper, this method is used to identify the high-consequence area of a pipeline section in Guangdong Province, the results show that: 1, the improved algorithm in the identification of densely populated, geologic hazards, flammable and explosive high consequence zones of the average accuracy of the identification of 1.7%, 3.4%, 3.9%. 2, The method in this paper identifies 8 more building elements and 0.311 more kilometers of pipeline mileage compared to traditional identification methods. The method of this paper can provide a reference for the early identification of high consequence areas of pipelines.
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Affiliation(s)
- Dai Xiaojun
- School of Civil Engineering and Geomatices, Southwest Petroleum University, Chengdu, 610500, China
| | - Huang Weiyi
- School of Civil Engineering and Geomatices, Southwest Petroleum University, Chengdu, 610500, China.
| | - Xiao Jianghong
- School of Civil Engineering and Geomatices, Southwest Petroleum University, Chengdu, 610500, China
- National Pipe Network Group Guangdong Pipe Network Co., Guangzhou, 510700, China
| | - Wei Peng
- Sichuan Research Institute of Land Space Ecological Restoration and Geological Hazard Prevention and Control, Chengdu, 610000, China
| | - Ming Xi
- School of Civil Engineering and Geomatices, Southwest Petroleum University, Chengdu, 610500, China
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Chen H, Zhang H, Jang SG, Liu X, Xing L, Wu Z, Zhang L, Liu Y, Chen C. Road criticality assessment to improve commutes during floods. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 349:119592. [PMID: 37992658 DOI: 10.1016/j.jenvman.2023.119592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 08/03/2023] [Accepted: 11/10/2023] [Indexed: 11/24/2023]
Abstract
Flooding undermines the functionality of road links, leading to commute disruption, such as increased commuting time and immobility. Therefore, identifying the critical roads under different flood scenarios is of great significance for transportation planning to minimize flood risk. Previous studies on the road criticality under pluvial floods have focused on mostly structural characteristics of the roads, lacking the quantification of the flood impact on traffic. We employed an integrated framework coupling pluvial flood modeling with commute simulation to assess the criticality of flooded road links under three scenarios (10, 30, and 50 year floods). The output of the flood modeling was used to reconstruct the road network. The routes of each individual commuter under a business as usual (BAU) scenario and three flood scenarios were obtained from the commute simulation. As the flood return period increased, the distribution of traffic flow became more uneven. The road criticality assessment revealed that greater flood impact on roads was closely related to the proximity of water bodies, low-lying topography, and greater commute demands of the region and provided evidence to prioritize locations for interventions. This study helps understand the resilience of transportation systems during floods, thereby enabling practitioners to design effective strategic plans in terms of emergency response, risk management, and urban planning.
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Affiliation(s)
- Huiting Chen
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.
| | - Hongxin Zhang
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.
| | - Sung-Gheel Jang
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, 11794, USA.
| | - Xiaoyan Liu
- Institute of Disaster Risk Science, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
| | - Lijun Xing
- Key Laboratory of Regional Development and Environmental Response, Hubei University, 368 Youyi Road, Wuhan, 430062, China.
| | - Zihao Wu
- School of Public Policy & Management, China University of Mining and Technology, Xuzhou, 221116, China.
| | - Lin Zhang
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.
| | - Yaolin Liu
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China; Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan, 430079, China; Collaborative Innovation Center for Geospatial Information Technology, Wuhan University, Wuhan, 430079, China.
| | - Cuizhen Chen
- Wuhan Institute of Water Science Researching in Hubei Province, Wuhan, 430014, China.
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Threats to Cultural Heritage Caused by the Global Sea Level Rise as a Result of the Global Warming. WATER 2021. [DOI: 10.3390/w13182577] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Climate change resulting from global warming has an increasing impact on Earth. The resulting sea level rise is starting to be noticed in some regions today, and based on projections, could have severe consequences in the future. These consequences would primarily be felt by residents of coastal areas, but through the potential for irreparable damage to cultural heritage sites, could be significant for the general public. The primary aim of the research undertaken in this article was to assess the threat to cultural heritage objects on the case study area of Tri-City, Poland. A review of available elevation data sources for their potential use in analyses of sea level changes was required. The selection of the optimal data source for the cultural heritage threat analysis of historic sites was carried out. The analyses were conducted for three scenarios, using ArcGIS Pro 2.7 software. A series of maps were thus prepared to show the threats to specific historic sites for various global sea level rise scenarios. Even with the slightest rise in sea level, monuments could be permanently lost. The authors point out that a lack of action to stop climate change could result not only in economic but also cultural losses.
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