基于GBRT算法的新安江模型参数河网蓄水消退系数的同步参数区域化方法研究  

Study on Synchronous Parameter Regionalization of Xin'anjiang Model Parameters Recession Coefficient Based on GBRT Algorithm

作　　者：黄依之 韦露斯 张行南[2] 方园皓[2] HUANG Yi-zhi;WEI Lu-si;ZHANG Xing-nan;FANG Yuan-hao(Pearl River Hydrology and Water Resources Survey Center,Guangzhou 510370,China;College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China)

机构地区：[1]珠江水文水资源勘测中心,广东广州510370 [2]河海大学水文水资源学院,江苏南京210098

出　　处：《水电能源科学》2025年第2期30-32,62,共4页Water Resources and Power

基　　金：水利部重大科技项目(SKR-2022038)。

摘　　要：寻求无资料地区的参数区域化方法是无资料地区水文模型应用的研究热点。智能算法为探索流域降雨径流规律与下垫面特征之间的非线性关系提供了解决思路,为此基于GBRT算法,建立了114个小流域的面积、圆度、形态因子、河网密度、河源密度、平均坡度、高程变异系数共7个下垫面特征影响因子与新安江模型参数河网蓄水消退系数(C_(S))之间的关系,验证了模型的稳健性和可靠性;并选取五岔流域,验证模型可移置性。结果表明,基于GBRT算法定量计算河网蓄水消退系数是科学可行的,且建立的模型易移置、可靠性高、稳定性强,适用于无资料地区河网蓄水消退系数的率定。It is a hot issue in the application of hydrologic models in ungauged basins to seek the method of parameter regionalization in non data areas.The intelligent algorithm provides a solution for exploring the nonlinear relationship between rainfall runoff rule and underlying surface characteristics.Based on GBRT algorithm,this paper establishes the model relationship between the seven underlying surface characteristic influence factors(114 small watershed area,roundness,shape factor,river network density,river source density,average slope,and elevation variation coefficient)and the Xin'anjiang model parameter C_(S),which verifies the robustness and reliability of the model;The displacement of the model is verified by selecting Wucha basin in China.The results show that the quantitative calculation of C_(S) based on GBRT algorithm is scientific and feasible,and the established model is easy to shift,reliable and stable,which is applicable to the calibration of C_(S) parameters in ungauged basins.

关 键 词：GBRT算法 新安江模型 河网蓄水消退系数 同步参数区域化 无资料地区 

分 类 号：TV124[水利工程—水文学及水资源] P338[天文地球—水文科学]