摘要
融雪水是东北地区春季径流的重要来源,融雪径流过程的可靠模拟及预报可为科学管理和调度春汛期水资源提供参考。东北寒区年度内存在融雪径流和降雨径流两种产流模式,流域物理空间属性差异对融雪径流产流模式影响显著,为了解决东北寒区融雪径流空间异质性问题、提高SWAT模型模拟及预报精度,提出对SWAT模型采用单站点和多站点联合参数率定的策略。首先,利用白山水库入库流量进行单站初步参数率定,进而,采用多站点对融雪径流参数进行率定,并将该参数移植到单站初步率定参数集。结果表明:单站初步参数率定后模拟得到年度(1—12月)、夏季汛期(6—9月)、春季融雪期(3—5月)验证期月尺度确定系数(R^(2))分别为0.76、0.74和0.58,日尺度R^(2)分别为0.71、0.75和0.51;单站和多站点联合参数率定后模拟得到年度、夏季汛期、春季融雪期验证期月尺度R^(2)分别为0.80、0.74和0.79,日尺度R^(2)分别为0.74、0.78和0.61。在月尺度和日尺度上,单站和多站点联合参数率定较单站参数率定后春季融雪期的模拟精度分别提高了20%和10%。
In Northeast China,snowmelt is an important source of spring runoff,and the reliable simulation and forecasting of snowmelt runoff can provide a reference for reasonable management and scheduling of water resources during the spring flood season.There are two runoff-generating models of snowmelt runoff and rainfall runoff in the cold Northeast region during the year.The differences in the physical and spatial properties of the basin have a significant impact on the snowmelt runoff generation.To solve the problem of spatial heterogeneity of snowmelt runoff,and to improve the simulation and forecasting accuracy of the SWAT model,we propose a single-site and multi-site combined parameter calibration for the SWAT model.Firstly,the initial parameter calibration of single station was carried out by using the inflow of Baishan Reservoir,and then the snowmelt runoff parameters were calibrated by multi-station,and the parameters were transplanted to the initial parameter set of single station.The correlation coefficients(R^(2))of monthly average flow in validation periods of the annual(January-December),flood season(June-September),and spring season(March-May)were 0.76,0.74,and 0.58,the daily average flow R^(2) were 0.71,0.75 and 0.51,after the initial parameter rate determination at a single station.The correlation coefficients R^(2) in validation periods of the annual(January-December),flood season(June-September),and spring season(March-May)were 0.80,0.74 and 0.79,the daily average flow R^(2) were 0.74,0.78 and 0.61,after using a combined single-site and multi-site parameter calibration strategy.The results showed that the simulation accuracy of snowmelt runoff was improved by 20%and 10%respectively.
作者
次旦央宗
李鸿雁
李晓峰
Cidan Yangzong;Li Hongyan;Li Xiaofeng(College of New Energy and Environment,Jilin University/Key Laboratory of Groundwater Resources and Environment(Jilin University),Ministry of Education,Changchun 130021,China;Key Laboratory of Water Resources and Water Environment,Jilin Province,Changchun 130021,China;Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130102,China;Jingyuetan Remote Sensing Experiment Station,Chinese Academy of Sciences,Changchun 130102,China)
出处
《吉林大学学报（地球科学版）》
CAS
CSCD
北大核心
2023年第1期230-240,共11页
Journal of Jilin University：Earth Science Edition
基金
吉林省科技厅重点研发项目(20200403070SF)
关键词
东北寒区
融雪径流
SWAT
参数移植
空间异质性
白山流域
Northeast cold region
snowmelt runoff
SWAT
parameter transplantation
spatial heterogeneity
Baishan basin
