为探究河北省玉米生育期旱涝演变特征，通过构建标准化前期降水蒸散指数（standardized?antecedent precipitation?evapotranspiration?index,?SAPEI）和利用气象站点逐日气象数据，对河北省 1980—2020 年玉米生育期 内旱涝特征演变进行时空分析。结果显示：1980—2020 年河北省 SAPEI 在玉米初始生长期、快速发育期、发育 中期和成熟期 4 个生育阶段内波动变化区间为?1.0~1.5，且初始生长期波动呈上升趋势；SAPEI 空间变化总体特征 表现为初始生长期和快速发育期玉米生长气候湿润化趋势表现明显，生育中期和成熟期东部及南部气象站点表 现为变旱趋势；玉米生育期内多年平均旱积指数 Qdl总体呈东南高西北低的格局分布，即西北部大于东南部；多年 平均渍积指数 Qwl在 21.07~37.85 内变化，年均旱积与渍积指数的分布格局与河北省降水分布格局相呼应。研究 结果可为河北省农业气象灾害风险评估和防灾减灾管理决策提供理论依据。

In the context of global change, extreme weather events are frequent and recurring, leading to a continuous increase in both affected areas and risks. Among them, droughts and floods have the most widespread impact and become one of the major meteorological disasters affecting agricultural production. According to the relevant statistical results, the area affected by agriculture in 2021 is as high as 1.17×107 hm2 in China. Hebei Province is located in the North China Plain of China which belongs to the temperate continental monsoon climate. Under the influence of global climate change, the temperature in Hebei Province has increased while precipitation has decreased, and the occurrence of droughts and floods has changed the growth and development of corn, which has had a huge impact on agricultural production and economic activities. Therefore, the spatial and temporal evolution characteristics of droughts and floods during maize reproductive period are greatly significant for the disaster for the prevention and mitigation of maize production.The research methods include SAPEI (Standardized Antecedent Precipitation Evapotranspiration Index) and ArcGIS to reflect the drought and flooding characteristics of maize in Hebei Province during the reproductive period. SAPEI can not only evaluate the single-day drought and flood conditions by precipitation time and amount, but also take into account the influence of soil moisture in the early stages, which is more comprehensive and has higher monitoring accuracy. And the map in ArcGIS will visualize the spatial evolution trend of SAPEI values. Conclusion: (1) The SAPEI in Hebei Province fluctuated from ?1.0 to 1.5 in the initial growth stage, rapid development stage, middle development stage and maturity stage of maize, and the fluctuation in the initial growth stage showed an upward trend from 1980 to 2020. (2) The overall spatial variation of SAPEI in Hebei Province was characterized by a wetting trend in the initial growth period and the rapid development period of maize. The trend of wetting was obvious during the initial growth period and rapid development period, while the eastern and southern meteorological stations showed a trend of drought during the middle and mature periods. (3) The multi-year average drought accumulation index Qdl was generally distributed in a pattern of high southeast and low northwest during the maize reproductive period in Hebei Province, that means the drought in the northwest was greater than in the southeast. The multi-year average flood accumulated index Qwl varied from 21.07 to 37.85, and the distribution pattern of annual average of accumulated index of drought and flood corresponded with the distribution pattern of precipitation in Hebei Province. The results will provide a theoretical basis for agricultural meteorological disaster risk assessment and disaster prevention and mitigation management decisions in Hebei Province.