Research Article
Dispatching Plan Based on Route Optimization Model Considering Random Wind for Aviation Emergency Rescue
Table 2
Demands of devastated points.
| Number | Name | Rescue priority | Demands /(kg) | Minimum demands /(kg) | | | | |
| 4 | Hongbai Town | 4 | 1400 | 800 | 1000 | 500 | 5 | Qiandi Town | 5 | 1700 | 1100 | 1200 | 600 | 6 | Luoshui Town | 4 | 900 | 700 | 600 | 400 | 7 | Mazu Town | 2 | 600 | 500 | 300 | 300 | 8 | Louqiao Town | 1 | 800 | 500 | 600 | 300 | 9 | Qiaozhuang Town | 3 | 1100 | 900 | 800 | 600 | 10 | Qingxi Town | 3 | 1100 | 900 | 700 | 700 | 11 | Quhe Town | 4 | 1600 | 800 | 1300 | 500 | 12 | Shazhou Town | 1 | 400 | 300 | 300 | 200 | 13 | Suhe Town | 5 | 900 | 600 | 600 | 400 | 14 | Wali Town | 1 | 400 | 400 | 200 | 300 | 15 | Yaodu Town | 3 | 1300 | 800 | 800 | 600 | 16 | Sanguo Town | 2 | 900 | 600 | 600 | 400 | 17 | Yuexi Town | 4 | 1300 | 1000 | 1000 | 600 | 18 | Kangding Town | 2 | 1200 | 700 | 900 | 500 | 19 | Yongshan Town | 2 | 1300 | 1100 | 1000 | 800 | 20 | Ludian Town | 2 | 1100 | 600 | 700 | 300 | 21 | Jinggu Town | 4 | 700 | 700 | 500 | 400 |
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