Application of CN05.1 meteorological data in watershed hydrological simulation: a case study in the upper reaches of Kaidu River basin

doi:10.12006/j.issn.1673-1719.2019.178

Abstract

Abstract:

In order to explore the applicability potential for China’s reanalyzed meteorological dataset CN05.1 in watershed hydrological modeling, the SWAT hydrological model was driven by CN05.1 dataset and traditional meteorological station data, respectively, by taking the Kaidu River basin the as research area in this paper. The comparison between the two simulation results was carried out by using evaluation factors such as coefficient of determination (R ²), Nash efficiency coefficient (NSE) and relative error (R_e). Finally, two precipitation data correction methods were used to correct the CN05.1 precipitation data and the hydrological simulation results were evaluated. The results are as follows. (1) CN05.1 meteorological data has certain applicability in the hydrometeorological simulation of the Kaidu River basin. (2) Hydrological simulation based on SWAT model shows that CN05.1 data-driven hydrological simulation accuracy is higher than traditional meteorological station data, and the R ² over the period of calibration (1995-2005) and verification period (2006-2016) is 0.81 and 0.73, NSE is 0.81 and 0.72, and R_e is -0.97% and 0.39%, respectively. (3) The two kinds of correction data can both simulate the process of runoff change well, but runoff simulation based on spatial relationship correction method shows better effect, and the R ² and NSE are above 0.72, |R_e| is less than 1.7%. Therefore, the corrected CN05.1 precipitation data can compensate for the lack of data in the traditional meteorological station and the unsatisfactory peak value of the CN05.1 meteorological data in the runoff simulation to a certain extent.

Key words: CN05.1, SWAT model, Applicability evaluation, Precipitation correction method, Kaidu River basin

Ying-Xue LUO,Chang-Chun XU,Zhi CHU,Qi SUN,Li CHEN. Application of CN05.1 meteorological data in watershed hydrological simulation: a case study in the upper reaches of Kaidu River basin[J]. Climate Change Research, 2020, 16(3): 287-295.

Figures/Tables 9

Fig. 1 Sketch map of the study area

Fig. 2 Meteorological and verification sites for spatial interpolation

Table 1 Evaluation of SWAT model simulation effect

Fig. 3 Simulation of monthly scale runoff in the Kaidu River basin during 1995-2016

Fig. 4 Comparison of the average monthly precipitation of two kinds of meteorological data

Table 2 Multi-year average monthly precipitation ratio of CN05.1 grids and traditional meteorological sites

Fig. 5 Corrected data and each precipitation data comparison

Fig. 6 Comparison of CN05.1 data on monthly scale runoff simulation results under different correction methods

Fig. 7 Correlation coefficient between traditional weather station and CN05.1 station

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