[目的] 研究河南省洪涝灾害灾后恢复力水平，为该省防洪减灾规划和应急能力建设提供决策依据。[方法] 以洪涝灾害频发的河南省为研究区域，在梳理国内外灾后恢复力研究成果的基础上，识别出洪涝灾害灾后恢复力的主要影响因素，并从社会、经济、自然和技术4个维度构建了洪涝灾害恢复力评价指标体系和模型。应用层次分析法确定各指标的相对权重，采用综合指数法对河南省各地市的洪灾恢复力进行了评价，并利用ArcGIS软件对评估结果进行了区划和制图研究。[结果] ①河南省洪涝灾害灾后恢复力呈现一定的空间分布规律，总体来说由西北向东南呈下降趋势；②郑州市、济源市等6个城市恢复力等级为Ⅲ，属高恢复力区域；南阳市、信阳市等6个城市恢复力等级为Ⅰ，属低恢复力区域；其余6个城市恢复力等级为Ⅱ，属中等恢复力区域；③河南省所处低、中、高恢复力等级的面积占全省总面积的百分比分别为42.58%，35.11%，22.31%。[结论] 河南省洪涝灾害恢复力整体处于中低水平，对区域可持续发展具有一定的影响。
[Objective] The resilience level of He'nan Province after flood disasters was studied in order to provide decision-making basis for flood control and disaster reduction planning and emergency capacity construction.[Methods] He'nan Province, where flood disasters occurred frequencely, was chosen as the study area. The key influencing factors of flood disaster resilience were identified based on the literature review, and the evaluation index system and model were built from four dimensions of society, economy, nature and technology. The relative weight of each index was determined using the analytic hierarchy process (AHP) method, and the flood resilience level of each city in He'nan Province was calculated using the comprehensive index method. The evaluation results were mapped using ArcGIS software.[Results] ① The resilience level of flood disasters in He'nan Province presented a certain spatial distribution pattern. In general, there was a decreased trend from the northwest to southeast. ② Among six cities, Zhengzhou and Jiyuan City were rated as level Ⅲ, which belonged to the high resilience area. Other cities, such as Nanyang and Xinyang were rated as level Ⅰ, which belonged to the low resilience area. The remaining cities were rated as level Ⅱ, which belonged to the middle resilience area. ③ The percentages of the areas with low, middle and high resilience levels in He'nan Province accounted for 42.58%, 35.11% and 22.31% of the total area, respectively.[Conclusion] The resilience of flood disasters in He'nan Province is in the low and middle level, which has a certain influence on regional sustainable development.