关键词: 大田作物, 播种, 气象适宜度, 气象适宜等级, 评价模型

Abstract: 【Objective】 To make full use of climatic resources and meteorological conditions,avoid the risk of meteorological disasters,the production of agricultural spring sowing is guided by relying on meteorological numerical forecast products with high temporal and spatial resolution and forecast accuracy.【Methods】 We selected six of Inner Mongolia agricultural meteorological station for maize,spring wheat,potato,soybeans sowing date,and the field sowing progress data of maize in Songshan District and potato in Ongniud Banner to be used in this research.In addition,the observation data of farmland soil moisture during spring sowing,and daily meteorological observation data of precipitation,soil temperature and spring soil thawing depth of corresponding stations were used as well.Four sub-model of meteorological suitability for sowing,including soil moisture,soil temperature,thawing depth of soil and weather conditions were determined for the four meteorological indicators in sub-models of maize,spring wheat,potato,and soybean by using fuzzy membership function.【Results】 The meteorological indexes of maize,spring wheat,potato and soybean in the four sub-models were determined,the comprehensive evaluation model of field crop seeding meteorological suitability was established by analytic hierarchy process,and the classification standard of seeding meteorological suitability was established.【Conclusion】 The evaluation indexes selected and the evaluation model constructed could objectively reflect the influence of meteorological conditions on spring sowing.

Key words: Field crops, Sowing, Meteorological suitability, Suitable meteorological grades, Evaluation model