Hunan Cotton Refining Climatic Regionalization Based on GIS and Interpolating Preference
In order to develop Hunan cotton production and make full and proper use of climate resources, based on GIS technology, through the adaptability analysis of diversified common small grid interpolation methods, preferably selecting interpolation method of climatic element small grid, and eventually using interpolation method of preferred selection, the author predicts the climatic elements by means of 500 mx500 m small grid interpolation, and conducts Hunan cotton refining climatic regionalization by adopting ≥15℃ accumulated temperature, sunshine from the last ten days of April to the middle ten days of November, and high-temperature days in July and August when the highest daily temperature equals or was over 35t as regionalization factors. By comparing dynamic climate regionalization of different year periods, the paper analyzed the influence on Hunan cotton planting adaptability of climate changes. The results showed that Hunan had the climatic advantage to develop cotton plant, and the areas were suitable to plant cotton were large. Because of the climate changed, the most suitable areas to plant cotton in Hunan decreased, but the suitable areas increased, while less suitable areas and unsuitable areas almost remained the same.
NETL
NSTL
万方数据
维普
