Study on the Spatiotemporal Characteristics of GICs in Shandong Peninsula, China under the Geomagnetic Storm of February 27, 2023.
Saved in:
| Title: | Study on the Spatiotemporal Characteristics of GICs in Shandong Peninsula, China under the Geomagnetic Storm of February 27, 2023. |
|---|---|
| Authors: | Zhou, Xiaofeng1, Zhang, Xinwei2, Li, Xiaolong3, Cao, Jia3, Li, Tao3, Wang, Yanling3 wangyanling@sdu.edu.cn |
| Source: | Progress in Electromagnetics Research C. 2025, Vol. 162, p19-25. 7p. |
| Subjects: | Magnetic storms, Earth currents, Electric power distribution grids, Risk assessment, Earth resistance (Geophysics), Spatiotemporal processes, Peninsulas |
| Geographic Terms: | China, Shandong Peninsula (China), Shandong Sheng (China) |
| Abstract: | For assessing Geomagnetically Induced Currents (GICs) risks in mid-latitude coastal power grids, this study developes a three-dimensional Earth conductivity model that incorporates coastal effects. The model was constructed using geological cross-sectional data from the China Earthquake Administration and measured terrestrial conductivity data. Focusing on the strong geomagnetic storm of February 27, 2023, the spatiotemporal characteristics of GICs in Shandong Peninsula across 34 substations and 46 transmission lines were accurately computed. The GICs peak of the substation appears at Muping, and GICs peak of the transmission line appears at Zouxian-Luzhou Line. Notably, two coastal substations exceeded the safety limit for GICs. Areas of highest risk are concentrated in the southeastern coastal region of Shandong, underscoring the significant impact of coastal effects and changes in geological structure. This method and its findings provide a global reference for predicting and issuing early warnings regarding GICs in long-distance mid-latitude coastal power grids. [ABSTRACT FROM AUTHOR] |
| Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 190420603 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Study on the Spatiotemporal Characteristics of GICs in Shandong Peninsula, China under the Geomagnetic Storm of February 27, 2023. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Xiaofeng%22">Zhou, Xiaofeng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xinwei%22">Zhang, Xinwei</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Xiaolong%22">Li, Xiaolong</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Cao%2C+Jia%22">Cao, Jia</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Tao%22">Li, Tao</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yanling%22">Wang, Yanling</searchLink><relatesTo>3</relatesTo><i> wangyanling@sdu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Progress+in+Electromagnetics+Research+C%22">Progress in Electromagnetics Research C</searchLink>. 2025, Vol. 162, p19-25. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Magnetic+storms%22">Magnetic storms</searchLink><br /><searchLink fieldCode="DE" term="%22Earth+currents%22">Earth currents</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Earth+resistance+%28Geophysics%29%22">Earth resistance (Geophysics)</searchLink><br /><searchLink fieldCode="DE" term="%22Spatiotemporal+processes%22">Spatiotemporal processes</searchLink><br /><searchLink fieldCode="DE" term="%22Peninsulas%22">Peninsulas</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink><br /><searchLink fieldCode="DE" term="%22Shandong+Peninsula+%28China%29%22">Shandong Peninsula (China)</searchLink><br /><searchLink fieldCode="DE" term="%22Shandong+Sheng+%28China%29%22">Shandong Sheng (China)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: For assessing Geomagnetically Induced Currents (GICs) risks in mid-latitude coastal power grids, this study developes a three-dimensional Earth conductivity model that incorporates coastal effects. The model was constructed using geological cross-sectional data from the China Earthquake Administration and measured terrestrial conductivity data. Focusing on the strong geomagnetic storm of February 27, 2023, the spatiotemporal characteristics of GICs in Shandong Peninsula across 34 substations and 46 transmission lines were accurately computed. The GICs peak of the substation appears at Muping, and GICs peak of the transmission line appears at Zouxian-Luzhou Line. Notably, two coastal substations exceeded the safety limit for GICs. Areas of highest risk are concentrated in the southeastern coastal region of Shandong, underscoring the significant impact of coastal effects and changes in geological structure. This method and its findings provide a global reference for predicting and issuing early warnings regarding GICs in long-distance mid-latitude coastal power grids. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=190420603 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2528/PIERC25090901 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 19 Subjects: – SubjectFull: Magnetic storms Type: general – SubjectFull: Earth currents Type: general – SubjectFull: Electric power distribution grids Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Earth resistance (Geophysics) Type: general – SubjectFull: Spatiotemporal processes Type: general – SubjectFull: Peninsulas Type: general – SubjectFull: China Type: general – SubjectFull: Shandong Peninsula (China) Type: general – SubjectFull: Shandong Sheng (China) Type: general Titles: – TitleFull: Study on the Spatiotemporal Characteristics of GICs in Shandong Peninsula, China under the Geomagnetic Storm of February 27, 2023. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou, Xiaofeng – PersonEntity: Name: NameFull: Zhang, Xinwei – PersonEntity: Name: NameFull: Li, Xiaolong – PersonEntity: Name: NameFull: Cao, Jia – PersonEntity: Name: NameFull: Li, Tao – PersonEntity: Name: NameFull: Wang, Yanling IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19378718 Numbering: – Type: volume Value: 162 Titles: – TitleFull: Progress in Electromagnetics Research C Type: main |
| ResultId | 1 |
