A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information
The power system is one of the most important urban lifeline engineering systems. Identifying the damage to the power system is an important task in earthquake disaster assessments. Considering the importance of timeliness and accessibility, a hyperparameter optimization model is proposed to address...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/6/2325 |
| _version_ | 1797242193467932672 |
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| author | Linyue Wang Zhitao Li Jie Han Kaihong Fan Yifang Chen Jianjun Wang Jihua Fu |
| author_facet | Linyue Wang Zhitao Li Jie Han Kaihong Fan Yifang Chen Jianjun Wang Jihua Fu |
| author_sort | Linyue Wang |
| collection | DOAJ |
| description | The power system is one of the most important urban lifeline engineering systems. Identifying the damage to the power system is an important task in earthquake disaster assessments. Considering the importance of timeliness and accessibility, a hyperparameter optimization model is proposed to address the assessment of disaster losses in power systems on earthquakes. The power system vulnerability on earthquakes, PSVE, is assessed by the hyperparameter optimization model based on nighttime light information. Through the utilization of the computational resources provided by Google Earth Engine, the accuracy of the baseline model has been significantly improved to 87.9%; meanwhile, the cost-effectiveness in the evaluation process is maintained. The PSVE-based damage evaluation has the potential to aid in assessing earthquake damage to cities’ energy supply, power infrastructure, and lighting. Furthermore, the PSVE-based damage evaluation can provide valuable guidance for prioritizing and efficiently allocating resources for rapid repair and reconstruction efforts. |
| first_indexed | 2024-04-24T18:35:20Z |
| format | Article |
| id | doaj.art-25be7dd948ea4d89bff36e843de342b5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-24T18:35:20Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-25be7dd948ea4d89bff36e843de342b52024-03-27T13:19:19ZengMDPI AGApplied Sciences2076-34172024-03-01146232510.3390/app14062325A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light InformationLinyue Wang0Zhitao Li1Jie Han2Kaihong Fan3Yifang Chen4Jianjun Wang5Jihua Fu6National Institute of Nature Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaNational Institute of Nature Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaPublicity and Education Center of the Ministry of Natural Resources, Beijing 100836, ChinaSichuan Earthquake Administration, Chengdu 610041, ChinaNational Institute of Nature Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaNational Institute of Nature Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaNational Institute of Nature Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaThe power system is one of the most important urban lifeline engineering systems. Identifying the damage to the power system is an important task in earthquake disaster assessments. Considering the importance of timeliness and accessibility, a hyperparameter optimization model is proposed to address the assessment of disaster losses in power systems on earthquakes. The power system vulnerability on earthquakes, PSVE, is assessed by the hyperparameter optimization model based on nighttime light information. Through the utilization of the computational resources provided by Google Earth Engine, the accuracy of the baseline model has been significantly improved to 87.9%; meanwhile, the cost-effectiveness in the evaluation process is maintained. The PSVE-based damage evaluation has the potential to aid in assessing earthquake damage to cities’ energy supply, power infrastructure, and lighting. Furthermore, the PSVE-based damage evaluation can provide valuable guidance for prioritizing and efficiently allocating resources for rapid repair and reconstruction efforts.https://www.mdpi.com/2076-3417/14/6/2325earthquake disaster assessmentpower system vulnerabilitymachine learningnighttime light informationGEE |
| spellingShingle | Linyue Wang Zhitao Li Jie Han Kaihong Fan Yifang Chen Jianjun Wang Jihua Fu A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information Applied Sciences earthquake disaster assessment power system vulnerability machine learning nighttime light information GEE |
| title | A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information |
| title_full | A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information |
| title_fullStr | A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information |
| title_full_unstemmed | A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information |
| title_short | A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information |
| title_sort | cost effective earthquake disaster assessment model for power systems based on nighttime light information |
| topic | earthquake disaster assessment power system vulnerability machine learning nighttime light information GEE |
| url | https://www.mdpi.com/2076-3417/14/6/2325 |
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