Table 3. The comparison of CCN activation and prediction in LinAn with other researches.
| Site location | Air mass type | SS (%) | Dc (nm) | κ | Nccn (cm−3) | Activation ratio | Prediction |
||
|---|---|---|---|---|---|---|---|---|---|
| Chemical composition | Mixing state | ||||||||
| This Work | LinAn-clean, China | rural-clean | 0.45 | 60.1 ± 4.4 | 0.32 ± 0.07 | 4757 ± 2179 | 0.46 ± 0.11 | bulk | external |
| LinAn-heavy haze, China | rural-pollution | 0.45 | 62.0 ± 4.7 | 0.3 ± 0.07 | 8697 ± 2692 | 0.71 ± 0.07 | bulk | external | |
| LinAn-heavy haze, China | rural-pollution | 0.28 | 79.3 ± 5.7 | 0.34 ± 0.08 | 7183 ± 2424 | 0.62 ± 0.06 | size-resolved | internal | |
| Asia | Beijing-aged pollution43, China | urban-pollution | 0.46 | 59.3 ± 3.0 | 0.31 ± 0.05 | 8830 ± 1600 | 0.74 ± 0.08 | — | — |
| PRD11,15, China | urban | 0.47 | 58.3 ± 5.8 | 0.33 ± 0.08 | 9760 ± 5320 | 0.53 ± 0.19 | size-resolved | internal | |
| Hong Kong19, China | urban | 0.5 | 56 ± 6.0 | 0.31 ± 0.10 | 1815 ± 1285 | 0.57 ± 0.14 | size-resolved | internal | |
| Kanpur-summer44, India | urban | 0.5 | 64.4 ± 11.6 | 0.24 ± 0.13 | 5074 | 0.71 | no | — | |
| Jeju Island12, Korea | coastal | 0.58 | 44 ± 3 | 0.48 ± 0.1 | 3496 ± 1510 | — | bulk | internal | |
| Europe | Vienna45, Austria | urban | 0.5 | — | — | 820 | 0.13 | — | — |
| Hyytiälä46, Finland | rural | 0.4 | 74.82 | 0.21 | — | 0.42 | — | — | |
| Vavihill46,47, Sweden | rural | 0.5 | — | 0.21 | 1285 | 0.44 | no | — | |
| North America | Colorado34, USA | rural | 0.36 | 83.9 ± 7.1 | 0.18 ± 0.04 | — | — | — | — |
| Tucson-winter48, USA | urban | 0.2 | — | 0.19 | 420 | 0.08 | no | — | |
| South America | Amazonia13, Brazil | remote-clean | 0.46 | 82.8 ± 8.8 | 0.122 ± 0.04 | 141 ± 147 | 0.53 ± 0.13 | bulk | internal |
| São Paulo21, Brazil | urban | 0.45 | — | 0.15 ± 0.04 | 2202 ± 1035 | 0.19 ± 0.09 | size-resolved | internal | |