Baseflow separation based on a meteorology-corrected nonlinear reservoir algorithm in a typical rainy agricultural watershed
Baseflow separation based on a meteorology-corrected nonlinear reservoir algorithm in a typical rainy agricultural watershed
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典型多雨农业流域基于气象校正非线性水库算法的基流分离
DOI：
10.1016/j.jhydrol.2016.02.010
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发表时间：
2016-04
影响因子：
6.4
通讯作者：
Lu Jun
中科院分区：
文献类型：
--
作者：
He Shengjia;Li Shuang;Xie Runting;Lu Jun
将非线性水库算法与气象回归模型相结合，建立了气象校正非线性水库算法（MNRA）基流分离模型，充分表达了气象因子对日基流衰退的影响。利用MNRA和2003 - 2012年降水、蒸发量、风速、水汽压、相对湿度等气象因子的日流量监测资料，分析了中国东部典型多雨农业流域长乐河流域基流的日、月、年变化特征。结果表明：长乐河流域年基流估算值在18.8 cm（2004年）~ 61.9 cm（2012年）之间变化，平均为35.7 cm；基流指数（基流与流量之比）在0.58（2007年）~ 0.74（2003年）之间变化，平均为0.65；不同方法的对比分析表明，气象回归统计模型比傅立叶拟合曲线更适合于日衰退参数的估计。因此，MNRA明显提高了基流分离的可靠性和准确性，即Nash-Sutcliffe效率从0.90提高到0.98。与Kalinin和Eckhardt的递归数字滤波方法相比，MNRA方法通常对降水的基流响应更敏感，对径流衰退的拟合度更高，特别是在高水平浅层地下水和频繁降雨的地区。
A baseflow separation model called meteorology-corrected nonlinear reservoir algorithm (MNRA) was developed by combining nonlinear reservoir algorithm with a meteorological regression model, in which the effects of meteorological factors on daily baseflow recession were fully expressed. Using MNRA and the monitored data of daily streamflow and meteorological factors (including precipitation, evaporation, wind speed, water vapor pressure and relative humidity) from 2003 to 2012, we determined the daily, monthly, and yearly variations in baseflow from ChangLe River watershed, a typical rainy agricultural watershed in eastern China. Results showed that the estimated annual baseflow of the ChangLe River watershed varied from 18.8 cm (2004) to 61.9 cm (2012) with an average of 35.7 cm, and the baseflow index (the ratio of baseflow to streamflow) varied from 0.58 (2007) to 0.74 (2003) with an average of 0.65. Comparative analysis of different methods showed that the meteorological regression statistical model was a better alternative to the Fourier fitted curve for daily recession parameter estimation. Thus, the reliability and accuracy of the baseflow separation was obviously improved by MNRA, i.e., the Nash–Sutcliffe efficiency increased from 0.90 to 0.98. Compared with the Kalinin’s and Eckhardt’s recursive digital filter methods, the MNRA approach could usually be more sensitive for baseflow response to precipitation and obtained a higher goodness-of-fit for streamflow recession, especially in the area with high-level shallow groundwater and frequent rain.
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影响因子：
5.4
作者：
P. Furey;V. Gupta
通讯作者：
P. Furey;V. Gupta
影响因子：
6.4
作者：
L. Tallaksen
通讯作者：
L. Tallaksen
DOI：
10.1016/j.agee.2009.06.011
发表时间：
2009-12
期刊：
Agriculture, Ecosystems & Environment
影响因子：
--
作者：
Dingjiang Chen;Jun Lu;Ye-na Shen;R. Dahlgren;Shu-quan Jin
通讯作者：
Dingjiang Chen;Jun Lu;Ye-na Shen;R. Dahlgren;Shu-quan Jin
影响因子：
6.4
作者：
H. Wittenberg;M. Sivapalan
通讯作者：
H. Wittenberg;M. Sivapalan
影响因子：
5.4
作者：
Annelies Huyck;V. Pauwels;N. Verhoest
通讯作者：
Annelies Huyck;V. Pauwels;N. Verhoest