摘要
为评价北山水库流域地表水资源,选用SWAT软件构建了该流域的分布式水文模型。基于2016-2018年实测水文数据以及高程、土地利用类型、土壤类型等数据,完成了对北山水库流域的SWAT模型构建,利用SWATCUP软件对参数进行率定及敏感性分析,选取决定系数(R^2)、纳什效率系数(NSE)、平均相对误差绝对值(MARE)和均方根误差(RMSE)作为模型评价指标。结果表明:北山水库月蓄水量模拟值与实测值吻合良好,模型率定期和验证期的R^2均达到0.89,NSE分别达到0.88与0.85,MARE分别为5.04%与4.23%,RMSE分别为1.15×10^6 m^3与0.90×10^6 m^3,由此表明该模型能近似反映研究区的径流变化特征,展示了SWAT模型在该流域的适用性。此外,基于验证的水文模型对主要参数进行敏感性分析,表明影响该区径流模拟最为显著的两个参数是浅层地下水回归流阈值和径流曲线数。
SWAT software was used to employ the distributed hydrological model to evaluate the surface water resources in the Beishan Reservoir watershed.Based on measured hydrological data from 2016 to 2018 provided by the local watershed management institution,and the elevation,land use,and soil type data,the SWAT and SWAT-CUP software were used to calibrate and analyze the sensitivity of the parameters in the Beishan Reservoir watershed.The coefficient of determination(R^2),Nash-Sutcliffe efficiency(NSE),mean absolute relative error(MARE)and root-mean-square error(RMSE)was selected as the model evaluation indexes.The results indicated that the simulated value of Beishan Reservoir′s monthly water storage showed good agreement with the measured value.The model evaluation indexes R^2,NSE,MARE and RMSE,were 0.89,0.88,5.04% and1.15×10^6 m^3 in calibration period,and 0.89,0.85,4.23%and 0.90×10^6 m^3 during validation period,respectively.This suggested that the calibrated model can approximately reflect the characteristics of runoff in the study area,indicating the displayed best applicability of SWAT model in the watershed.Moreover,the sensitivity analysis of the main parameters based on the validated hydrological model indicated that GWQMN(threshold of shallow groundwater regression flow)and CN2(number of SCS runoff curves)were the most important parameters showed significant effect on the model results.
作者
周铮
吴剑锋
杨蕴
陈干
宋健
孙晓敏
林锦
ZHOU Zheng;WU Jianfeng;YANG Yun;CHEN Gan;SONG Jian;SUN Xiaomin;LIN Jin(School of Earth Science and Engineering,Nanj ing University,Nanj ing 210023,China;School of Earth Science and Engineering,Hohai University,Nanjing 210098,China;Nanjing Hydr aulic Research Institute,Nanjing 210029,China)
出处
《南水北调与水利科技（中英文）》
CAS
北大核心
2020年第1期66-73,共8页
South-to-North Water Transfers and Water Science & Technology
基金
国家基金科学基金(41772254)。
关键词
SWAT
径流模拟
敏感性分析
中小流域
水文模型
SWAT
runoff simulation
sensitivity analysis
small and medium-sized watershed
hydrological model
