产流模式时空分布规律及其判别方法OA
Spatial and temporal distribution rules and identification methods of runoff generation modes
为提高半湿润半干旱地区洪水预报精度,针对其产流特点,结合水文气象、土壤地形和植被地貌等指标,通过优选判别指标、层次权重评估、滚动修正聚类等方法建立网格层次聚类产流模式判别(GRGI)方法.黄河中游千阳流域的实例验证结果表明:GRGI方法能够精确地识别千阳流域蓄满、超渗产流模式的时空分布,千阳流域整体以蓄满网格为主,占比在 70%以上;与Grid-XAJ和Grid-GA模型相比,基于产流判别规则改进Grid-XAJ-SIDE模型的径流深误差、洪峰误差及峰现时差合格率分别提高约12%、35%、12%.
To improve the accuracy of flood forecasting in semi-humid and semi-arid regions,the runoff generation characteristics of these regions were analyzed,as well as indexes such as hydrometeorology,soil and topography,and vegetation landcover.The grid hierarchical-clustering runoff generation pattern identification method(abbreviated as GRGI)was established through the optimization of identification indexes,hierarchical weight evaluation,and rolling correction clustering.Case verification results of the Qianyang Watershed in the middle reaches of the Yellow River show that the GRGI method can accurately identify the spatial and temporal distribution of the saturation-excess and infiltration-excess runoff generation modes in the Qianyang Watershed,with the saturation-excess pattern grid dominating,accounting for more than 70%of the total.Compared with those of the Grid-XAJ and Grid-GA models,the qualified rates of runoff depth error,peak flow error,and peak time difference of the Grid-XAJ-SIDE model improved based on runoff generation identification rules are increased by about 12%,35%,and 12%,respectively.
刘玉环;罗赟;李致家;王春青
黄河水利委员会水文局河海大学水文水资源学院黄河水利委员会黄河水利科学研究院河海大学水文水资源学院
半湿润半干旱地区蓄满产流超渗产流产流模式识别Grid-XAJ-SIDE模型过程精细化模拟
semi-humid and semi-arid regionsaturation-excess runoff generationinfiltration-excess runoff generationidentification of runoff generation modeGrid-XAJ-SIDE modelprocess-refined simulation
《河海大学学报(自然科学版)》 2026 (1)
28-35,42,9
"十四五"国家重点研发计划(2023YFC3206701)河南省自然科学基金青年项目(252300423290)黄河水利科学研究院中央级公益性科研院所基本科研业务费专项资金项目(HKY-JBYW-2023-11)水利部重大科技项目(SKR-2022024)黄河水利委员会水文局科技计划项目(R202315)
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