摘要
利用五道沟实验站1972~2021年106场次降雨径流实测资料,采用回归分析法,开展了不同级别次降雨量P(暴雨、大雨、中雨)、雨前地下水埋深H_(0)(Ⅰ级(0~0.4 m)、Ⅱ级(0.4~0.8 m)、Ⅲ级(0.8~1.2 m)、Ⅳ级(>1.2 m))和前期影响雨量P_(a)(Ⅰ级(17%~20%)、Ⅱ级(20%~23%)、Ⅲ级(23%~26%)、Ⅳ级(>26%))不同情景对产流的影响研究,并构建了多元回归计算模型。结果表明,次降雨量对降雨产流的影响起主要作用,其次为雨前地下水埋深和前期影响雨量;不同降雨级别下,暴雨情景次降雨量与径流呈二次曲线函数关系,大雨情景呈三次曲线函数关系,中雨情景在长时段连绵降雨型且P>35 mm、P_(a)>20%、H_(0)<1.0 m条件下才可产流,呈三次曲线函数关系;在Ⅰ、Ⅲ级雨前地下水埋深情景中,次降雨量与径流均呈三次曲线函数关系,Ⅱ级呈二次曲线函数关系,Ⅳ级呈线性函数关系;在Ⅰ级前期影响雨量情景中,次降雨量与径流呈幂函数关系,Ⅱ级呈三次曲线函数关系,Ⅲ、Ⅳ级均呈二次曲线函数关系;通过统计分析降雨实测数据,径流深最终可表示为次降雨量、雨前地下水埋深和前期影响雨量3因素的函数关系,并建立了暴雨、大雨及中雨情景径流计算模型,拟合优度R2均大于0.80,可用于淮北平原降雨径流预测。
Based on the measured data of 106 rainfall runoff from 1972 to 2021 at Wudaogou experimental station,re-gression analysis was used to investigate the impact of the sub-rainfall P(heavy rain,heavy rain,moderate rain),ground-water depth H_(0)(classⅠ:0-0.4 m,classⅡ:0.4-0.8 m,classⅢ:0.8-1.2 m,and classⅣ:>1.2 m)and the antecedent in-fluence rainfall P_(a)(classⅠ:17%~20%,classⅡ:20%-23%,classⅢ:23%-26%,classⅣ:>26%)on the runoff produc-tion at different scenarios,and a multiple regression calculation model was established.The results show that the precipi-tation plays a major role in the influence of rainfall runoff,followed by the groundwater buried depth before the rain and antecedent influence rainfall.Under different rainfall levels,there was a quadratic curve function relationship between the rainfall and runoff in the rainstorm scenario,a cubic curve function relationship in the heavy rain scenario,and a cubic curve function relationship in the moderate rain scenario when the long-term continuous rainfall type with P>35 mm,P_(a)>20%and H_(0)<1.0 m could produce runoff.In the pre-rain groundwater depth scenario of gradeⅠand gradeⅢ,the relationship between sub-rainfall and runoff is cubic curve function,the relationship of gradeⅡis quadratic function,and gradeⅣis linear function.The relationship between secondary rainfall and runoff is a power function in classⅠ,a cubic curve function in classⅡ,and a quadratic curve function in classⅢand classⅣ.Through statistical analysis of the measured rainfall data,the runoff depth can finally be expressed as the function relationship of three factors:secondary rainfall,groundwater buried depth before rain and antecedent influence rainfall.The runoff calculation models of rain-storm,heavy rain and moderate rain scenarios were established,and the goodness of fit R2 is greater than 0.80,which can be used to predict rainfall runoff in Huaibei Plain.
作者
王婉婉
杜富慧
朱信泽
周超
杜嘉阳
丁钰童
徐荣艳
张美娜
王振龙
WANG Wan-wan;DU Fu-hui;ZHU Xin-ze;ZHOU Chao;DU Jia-yang;DING Yu-tong;XU Rong-yan;ZHANG Mei-na;WANG Zhen-long(College of Energy and Environmental,Hebei University of Engineering,Handan 056021,China;Yancheng Branch,Jiangsu Bureau of Hydrology and Water Resources Survey,Yancheng 224001,China;Wudaogou Hydrology Experimental Station,Research Institute of Water Resources,Bengbu 233000,China;Chongqing Jiaotong University,Chongqing 400074,China;College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China)
出处
《水电能源科学》
北大核心
2024年第12期6-9,18,共5页
Water Resources and Power
基金
邯郸市典型企业节水项目(2021-60)
安徽省水联合基金项目(2208085U07)
水利部重大科技项目(SKS-2022066)。
关键词
降雨产流
降雨级别
雨前地下水埋深
前期影响雨量
淮北平原
rainfall runoff
rainfall level
groundwater buried depth before rain
antecedent influence rainfall
Huaibei plain
