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Constructing evaluation indicator for rice heat damage based on hot weather process (occurring time of hot weather and its duration) can realize the dynamic identification of rice high-temperature heat damage level, which is of great importance to the precisely monitoring, warning and assessment of rice heat. Meteorological, historical disaster and phenological data on double-early rice in Jiangxi Province were integrated to retrieve the historical heat of double-early rice. The dynamic index of high temperature heat injury on early rice based on high temperature weather process was constructed based on K-S distribution fitting test and confidence interval method. The results were verified with reserved independent samples. A rice heat index (M) was calculated, with which rice heat risk was analyzed. The results showed that the starting time and duration of hot weather were key factors affecting the occurrence of rice heat damage, with the effect of starting time greater than the duration. Light, moderate, and severe rice heat for 3-5 d was identified at 10-12, 5-9 and 2-4 d after heading respectively. Similarly, light, moderate and severe rice heat lasting for 6-8 d and8 d started at 11-18, 8-10, 1-7 d after heading and 12-18, 8-11, 0-7 d after heading respectively. The coincident rate of rice heat damage indicator was 73.7%, and that verified to be identical or one grade different was 89.5%. The linear tendency rate of M from 1981 to 2015 was 0.04·a构建考虑高温天气过程(包括发生时间、持续日数)的水稻高温热害指标,可以实现对水稻高温热害等级的动态判识,对精准监测、预警与评估水稻高温热害意义重大。以江西早稻为对象,利用气象资料、早稻高温热害灾情史料和生育期资料,反演历史早稻高温热害,采用K-S分布拟合检验和置信区间方法,构建基于高温天气过程的早稻高温热害动态指标,并采用预留的独立的早稻高温热害样本进行检验验证。在此基础上,计算江西各站点早稻高温热害指数( |
