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Pumped storage power station is the most mature large-scale energy storage tool in power systems. Because of its flexible peak and frequency modulation performance, it plays an important role in the novel power systems with new energy as the main body. The selection of upper and lower reservoirs is the key factor to determine its energy storage capacity and investment benefit in the process of site selection of pumped storage power station. However, the traditional site selection method of manual site investigation has the problems of heavy workload, low efficiency and easy leakage. In this paper, a method for site selection of upper and lower reservoirs of pumped storage power station based on satellite remote sensing terrain data was proposed, and experimental verification was carried out by Jinyun pumped storage power station in Zhejiang Province. The results show that the possible upper and lower reservoir construction areas within the target area can be efficiently screened out by using satellite remote sensing terrain data and computational intelligence techniques, which greatly improves the efficiency of site selection and shows the great application potential of satellite remote sensing in site selection of pumped storage power station.
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| 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 |
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