API模型和新安江模型的参数区域化研究与应用  

Parameter regionalization study and application of API model and Xin’anjiang model

作　　者：姚成[1] 邱桢毅 李致家[1] 胡维登 许洁 YAO Cheng;QIU Zhenyi;LI Zhijia;HU Weideng;XU Jie(College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;Hydrology Bureau of Anhui Province, Hefei 230022, China)

机构地区：[1]河海大学水文水资源学院,江苏南京210098 [2]安徽省水文局,安徽合肥230022

出　　处：《河海大学学报（自然科学版）》2019年第3期189-194,共6页Journal of Hohai University(Natural Sciences)

基　　金：国家重点研发计划(2016YFC0402705);国家自然科学基金(51679061);中央高校基本科研业务费专项(2016B04714)

摘　　要：为了将API模型与新安江模型更好地应用于无资料地区,将API模型和新安江模型应用于大别山区及皖南山区的29个中小流域,对模型参数在研究区的区域规律进行研究,通过中小河流新建水文测站对参数区域化的成果进行实证研究。结果表明:API模型与新安江模型均能较好地用于研究区中小流域的洪水模拟;逐步回归分析法能有效地推求模型的敏感参数;基于空间邻近与逐步回归分析相结合的参数区域化方法,API模型与新安江模型在新建水文测站次洪模拟中的平均确定性系数分别达到0.92和0.86,该方法能有效地推求研究区无资料流域API模型与新安江模型的参数。In order to better apply the API model and Xin’anjiang model to the ungauged regions, the parameter regionalization study and its application were conducted in this paper. Here, the API model and Xin’anjiang model were applied to small and medium-sized basins in the Dabie Mountain area and South Anhui Mountain area, the regional regularity of model parameters in the selected area was studied, and the result of regionalization was verified by the new hydrological station for the small and medium-sized rivers. The results show that both API model and Xin’anjiang model can be used to simulate the flood runoff in the study area;stepwise regression analysis can effectively deduce the sensitive parameters;based on the parameter regionalization method combining spatial proximity and stepwise regression analysis, the average deterministic coefficients for hourly API model and Xin’anjiang model simulations in the new hydrological station are 0.92 and 0.86, respectively. Therefore, this method can effectively deduce the parameters of API model and Xin’anjiang model in the ungauged basins of selected area.

关 键 词：API模型 新安江模型 无资料地区 参数区域化 空间邻近法 逐步回归分析法 新建水文测站 

分 类 号：P338[天文地球—水文科学]