Table 1 a Estimated port disruption and economic loss from throughput in scenario Z2B; b Estimated port disruption and economic loss from throughput in scenario Z2B under SSP 5-8.5 (LC) sea level rise
From: An approach to assessing tsunami risk to the global port network under rising sea levels
a | |||
|---|---|---|---|
Port name | Tsunami height (m) | Estimated days of shutdown | Estimated economic loss in cargo throughput (TEU) |
Batangas | 4.81 | 24.7 | 87.91 |
Chu Lai | 11.12 | 99.3 | - |
Danang | 3.88 | 13.7 | 4272.78 |
Hong Kong | 5.35 | 31.1 | 1,528,242.98 |
Huizhou | 4.31 | 18.8 | 11,825.97 |
Kaohsiung | 7.18 | 52.7 | 1,389,721.23 |
Manila | 3.31 | 6.9 | 84,443.50 |
Palawan | 7.99 | 62.3 | 2440.86 |
Qui Nhon | 8.56 | 69.0 | 6712.29 |
Subic Bay | 7.82 | 60.3 | 809.38 |
Zhuhai | 6.15 | 40.5 | 204,338.30 |
b | |||
Batangas | 6.35 | 42.9 | 152.88 |
Chu Lai | 12.16 | 111.6 | - |
Danang | 4.80 | 24.6 | 7675.74 |
Hong Kong | 6.25 | 41.8 | 2,054,257.13 |
Huizhou | 5.18 | 29.0 | 18,281.59 |
Kaohsiung | 8.19 | 64.7 | 1,704,375.18 |
Kota Kinabalu | 3.97 | 14.8 | - |
Manila | 4.62 | 22.4 | 272,938.61 |
Miri | 4.01 | 15.3 | 1045.59 |
Palawan | 9.09 | 75.3 | 2951.15 |
Quanzhou | 3.65 | 11.0 | 67,858.83 |
Qui Nhon | 9.30 | 77.8 | 7564.49 |
Subic Bay | 8.95 | 73.7 | 988.68 |
Xiamen | 3.71 | 11.7 | 364,415.75 |
Zhuhai | 6.96 | 50.1 | 252,583.96 |
