Under the influence of climate change and land use/land cover (LULC) change, the combined influence of multiple factors has significantly increased the difficulty of probable maximum flood (PMF) estimation. A PMF estimation framework was proposed, integrating post-processing of climate model results, probable maximum precipitation (PMP) estimation and future LULC change setting under climate change scenarios, impact analysis of base flow/antecedent rainfall, and similarity-based PMP spatio-temporal distribution. This new framwork was applied to the Upper Nujiang River Basin. The results show that the uncertainty of base flow/antecedent rainfall and PMP spatio-temporal distribution are important factors affecting PMF for basins, and the dual-drive of climate change and LULC change has a greater impact on PMF, and the amplitude of change increases with the degree of change.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |