首页|MSWEP降水产品在尼洋河流域的应用

MSWEP降水产品在尼洋河流域的应用

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为探究 MSWEP卫星降水产品在缺资料地区的应用,以尼洋河流域为例,通过双线性插值得到流域内4个站点处的卫星降水资料,以站点实测降水资料为参照对 MSWEP降水数据进行不同时间尺度的精度评估,并利用平均偏差校正法和基于空间分布模式的校正方法对研究区范围内的所有卫星网格降水数据进行校正处理,最终用实测数据以及原始、校正后的卫星降水数据分别驱动SRM融雪模型,模拟更张站2002~2015年的径流过程.结果表明,校正后的降水数据提高了径流模拟的精度,且基于空间分布模式校正的降水数据取得了更优的径流模拟效果,验证期的确定系数在0.70~0.76之间,径流体积相对误差在1.62%~7.87%之间,可见 MSWEP在尼洋河流域具有较高的适用性.研究结果可为与尼洋河流域水文气象条件相近但资料稀缺地区的降水和水文模拟等提供参考.
Application of MSWEP Precipitation Product in Niyanghe River Basin
In order to explore the application of MSWEP satellite precipitation product in ungagued regions,the Niy-anghe River Basin was taken as the research area.The satellite precipitation data at 4 stations in the basin were obtained by bilinear interpolation,and the accuracy of MSWEP precipitation data at different time scales was evaluated with refer-ence to the measured precipitation data at the stations.The mean bias correction method and the correction method based on spatial distribution model were used to correct all the satellite grid precipitation data in the research area.The original and corrected satellite precipitation data were applied to drive SRM snowmelt model and simulated the runoff process at the Gengzhang station from 2002 to 2015.The results reveal that the corrected precipitation data improved the precision of runoff simulation,and the result of spatial distribution model was better.The determination coefficient of the verifica-tion period is between 0.70 and 0.76,and the relative error of runoff volume is between 1.62%and 7.87%.It shows that the MSWEP has high applicability in Niyanghe River Basin.The study can provide references for the study of precip-itation and hydrological simulation in ungagued regions which are similar to the Niyanghe River Basin of hydrological and meteorological conditions.

Niyanghe River Basinungauged regionMSWEP satellite precipitation productSRM snowmelt model

陈许娜、李国芳、乔时雨

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河海大学水文水资源学院,江苏 南京 210098

尼洋河流域 缺资料地区 MSWEP卫星降水产品 SRM融雪模型

江西省重点研发计划江苏省水利科技项目

20212BBG710142023004

2024

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
年,卷(期):2024.42(10)
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