Based on the daily observation data at 6 national meteorological stations and 135 regional meteorological stations in southeastern Hubei Province and digital elevation model (DEM) data with 30 m spatial resolution, nine suitability indexes were selected by comprehensively considering the meteorological and geographic factors affecting the growth and development, yield and quality of loquat in southeastern Hubei Province, including annual average temperature, annual minimum temperature, active accumulative temperature greater than or equal to 10.0 ℃, days with daily minimum temperature less than or equal to -3.0 ℃ and daily average temperature greater than or equal to 25.0 ℃ in May, annual precipitation, precipitation from August to October, slope direction and slope, etc. And on this basis that the refined ecological suitability division of loquat planting in southeastern Hubei Province was studied under the operation environment of ArcGIS by using analytic hierarchy process and comprehensive ecological suitability method. The results show that the main factors affecting ecological suitability of loquat planting in southeastern Hubei Province are annual minimum temperature and days with daily minimum temperature less than or equal to -3.0 ℃ on the whole. The whole region is divided into ecological unsuitable zone, sub-suitable zone, suitable zone and the most suitable zone. Among them, the areas along the river and lake in the northwest are the most suitable zone, in which can be planted early-maturing varieties of loquat. The areas with elevation from 100 m to 250 m are suitable zone in the central and the southeast of Hubei Province, in which is suitable to plant medium-maturing varieties of loquat, and the hillside with elevation from 251 m to 450 m are sub-suitable zone, in which can be developed late and medium maturing varieties of loquats with good nutrition and function, while the mountainous areas with elevation more than 450 m are unsuitable zone. Elementarily proved, the production practice of loquat in large-scale planting area of southeastern Hubei Province is in good agreement with zoning results. The zoning results can provide reference for the rational layout of loquat planting in southeastern Hubei Province.

Based on the data of 3 wind farms in Hubei Province from May 2018 to December 2019, including numerical weather forecast, wind speed observed by wind measuring tower and actual power of wind farm, the output results of numerical model forecast were input into three power forecasting models, namely physical method, partial least squares method and neural network method. Then, the rolling correction and modeling of wind speed and power curve were carried out based on the observed wind measurement data of wind farm, and the results were input into the above three power forecasting models. On this basis, the softmax ensemble forecasting algorithm was proposed, and three algorithms with the highest accuracy were selected for ensemble forecasting. Through indepth analysis of three wind farms, the number of qualified days in each month of this algorithm was 1 to 3 days higher than the average value ensemble forecasting algorithm.