Evaluation of Drifting Snow Susceptibility Based on GIS and GA-BP Algorithms
Drifting snow, the flow of dispersed snow particles near ground level under the action of wind, is a major form of snow damage. When drifting snow occurs on railways, highways, and other transportation lines, it seriously affects their operational safety and results in drifting snow disasters. Drift...
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MDPI AG
2022-02-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/2/142 |
| _version_ | 1797479471550300160 |
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| author | Bohu He Mingzhou Bai Binglong Liu Pengxiang Li Shumao Qiu Xin Li Lusheng Ding |
| author_facet | Bohu He Mingzhou Bai Binglong Liu Pengxiang Li Shumao Qiu Xin Li Lusheng Ding |
| author_sort | Bohu He |
| collection | DOAJ |
| description | Drifting snow, the flow of dispersed snow particles near ground level under the action of wind, is a major form of snow damage. When drifting snow occurs on railways, highways, and other transportation lines, it seriously affects their operational safety and results in drifting snow disasters. Drifting snow disasters frequently occur in the high latitudes of northwest China. At present, most scholars are committed to studying the prevention and control measures of drifting snow, but the prerequisite for prevention is to effectively evaluate the susceptibility of drifting snow along railways and highways to identify areas with a high risk of occurrence. Taking the Xinjiang Afukuzhun Railway as an example, this study uses a geographic information system (GIS) combined with on-site monitoring and surveys to establish a drifting snow susceptibility evaluation index system. The drifting snow susceptibility index (DSSI) is calculated through the weight of an evidence (WOE) model, and a genetic algorithm backpropagation (GA-BP) algorithm is used to obtain optimised evaluation index weights to improve the accuracy of model evaluation. The results show that the accuracies of the WOE model, WOE backpropagation (WOE-BP) model, and weight of evidence genetic algorithm backpropagation (WOE-GA-BP) model are 0.747, 0.748, and 0.785, respectively, indicating that the method can be effectively applied to evaluate drifting snow susceptibility. |
| first_indexed | 2024-03-09T21:46:22Z |
| format | Article |
| id | doaj.art-c9048b4d4cbb4835873e3c1941eb6792 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T21:46:22Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-c9048b4d4cbb4835873e3c1941eb67922023-11-23T20:16:31ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-02-0111214210.3390/ijgi11020142Evaluation of Drifting Snow Susceptibility Based on GIS and GA-BP AlgorithmsBohu He0Mingzhou Bai1Binglong Liu2Pengxiang Li3Shumao Qiu4Xin Li5Lusheng Ding6School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaQingdao Municipal Engineering Design and Research Institute, Qingdao 266000, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaGeological Subgrade Design Branch, Xinjiang Railway Survey and Design Institute, Urumqi 830011, ChinaDrifting snow, the flow of dispersed snow particles near ground level under the action of wind, is a major form of snow damage. When drifting snow occurs on railways, highways, and other transportation lines, it seriously affects their operational safety and results in drifting snow disasters. Drifting snow disasters frequently occur in the high latitudes of northwest China. At present, most scholars are committed to studying the prevention and control measures of drifting snow, but the prerequisite for prevention is to effectively evaluate the susceptibility of drifting snow along railways and highways to identify areas with a high risk of occurrence. Taking the Xinjiang Afukuzhun Railway as an example, this study uses a geographic information system (GIS) combined with on-site monitoring and surveys to establish a drifting snow susceptibility evaluation index system. The drifting snow susceptibility index (DSSI) is calculated through the weight of an evidence (WOE) model, and a genetic algorithm backpropagation (GA-BP) algorithm is used to obtain optimised evaluation index weights to improve the accuracy of model evaluation. The results show that the accuracies of the WOE model, WOE backpropagation (WOE-BP) model, and weight of evidence genetic algorithm backpropagation (WOE-GA-BP) model are 0.747, 0.748, and 0.785, respectively, indicating that the method can be effectively applied to evaluate drifting snow susceptibility.https://www.mdpi.com/2220-9964/11/2/142GISdrifting snowGA-BPWOEsusceptibility |
| spellingShingle | Bohu He Mingzhou Bai Binglong Liu Pengxiang Li Shumao Qiu Xin Li Lusheng Ding Evaluation of Drifting Snow Susceptibility Based on GIS and GA-BP Algorithms ISPRS International Journal of Geo-Information GIS drifting snow GA-BP WOE susceptibility |
| title | Evaluation of Drifting Snow Susceptibility Based on GIS and GA-BP Algorithms |
| title_full | Evaluation of Drifting Snow Susceptibility Based on GIS and GA-BP Algorithms |
| title_fullStr | Evaluation of Drifting Snow Susceptibility Based on GIS and GA-BP Algorithms |
| title_full_unstemmed | Evaluation of Drifting Snow Susceptibility Based on GIS and GA-BP Algorithms |
| title_short | Evaluation of Drifting Snow Susceptibility Based on GIS and GA-BP Algorithms |
| title_sort | evaluation of drifting snow susceptibility based on gis and ga bp algorithms |
| topic | GIS drifting snow GA-BP WOE susceptibility |
| url | https://www.mdpi.com/2220-9964/11/2/142 |
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