径流模拟一直是水文科学的研究热点，对水资源研究具有重要指导意义。基于极限梯度提升算法(XGBoost)和SWAT(Soil and Water Assessment Tool)模型，采用赣江流域外洲水文站的观测水文数据，构建径流模拟模型，对比及分析两个模型的模拟效果。同时，基于XGBoost模型，采用残差校正方法对SWAT模型径流模拟结果进行校正，结果表明:①XGBoost模型的模拟效果较好，XGBoost模型日径流模拟的纳什效率系数(NSE)比SWAT模型高15。66%;②SWAT模型在高流量处存在低估的情况，而XGBoost模型模拟值与观测值变化基本一致，模拟过程线拟合度较高，表现出良好的相关性;③经XGBoost校正后的SWAT模型模拟精度明显提高，可有效改善径流模拟效果。当采用残差误差校正后，径流模拟的NSE值可达0。96，增加了15。66%。
Comparison and Correction of Runoff Simulation Based on XGBoost and SWAT
Runoff simulation has always been a research hotspot in hydrological science,which has important guiding significance for water resources research.Based on the extreme gradient boosting(XGBoost)algorithm and soil and water assessment tool(SWAT)model,a runoff simulation model was constructed by using the observed hydrological data of Waizhou hydrological station in Ganjiang River Basin,and the simulation effects of the two models were compared.Meanwhile,based on the XGBoost model,the residual correction method was used to correct the runoff simulation results of the SWAT model.The results show that:① The simulation effect of the XGBoost model is good,and the Nash-Sutcliffe efficiency(NSE)of daily runoff simulation of the XGBoost model is 15.66%higher than that of the SWAT model.② The SWAT model is underestimated at high flow rates,while the XGBoost model results in basically consistent simulation values and observed values,and the simulated hydrograph has a high degree of fitting,showing a good correlation.③ After XGBoost correction,the simulation accuracy of the SWAT model is obviously improved,which can effectively improve the runoff simulation effect.When the residual error is corrected,the NSE value of runoff simulation can reach 0.96,an increase of 15.66%.
万方数据
维普
