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Copyright © 2016 Huiseong Noh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In recent years, with the increasing need for improving the accuracy of hydrometeorological data, interests in rain-radar are also increasing. Accordingly, with high spatiotemporal resolution of rain-radar rainfall data and increasing accumulated data, the application scope of rain-radar rainfall data into hydrological fields is expanding. To evaluate the hydrological applicability of rain-radar rainfall data depending on the characteristics of hydrological model, this study applied [subscript]Rgauge[/subscript] and [subscript]Rradar[/subscript] to a SWAT model in the Gamcheon stream basin of the Nakdong River and analyzed the effect of rainfall data on daily streamflow simulation. The daily rainfall data for [subscript]Rgauge[/subscript] , [subscript]RZ[/subscript] , and [subscript]R[subscript]KDP[/subscript] [/subscript] were utilized as input data for the SWAT model. As a result of the daily runoff simulation for analysis periods using [subscript]RZ(P)[/subscript] and [subscript]R[subscript]KDP[/subscript] (P)[/subscript] , the simulation which utilized [subscript]Rgauge[/subscript] reflected the rainfall-runoff characteristics better than the simulations which applied [subscript]RZ(P)[/subscript] or [subscript]R[subscript]KDP[/subscript] (P)[/subscript] . However, in the rainy or wet season, the simulations which utilized [subscript]RZ(P)[/subscript] or [subscript]R[subscript]KDP[/subscript] (P)[/subscript] were similar to or better than the simulation that applied [subscript]Rgauge[/subscript] . This study reveals that analysis results and degree of accuracy depend significantly on rainfall characteristics (rainy season and dry season) and QPE algorithms when conducting a runoff simulation with radar.

Details

Title
Long-Term Simulation of Daily Streamflow Using Radar Rainfall and the SWAT Model: A Case Study of the Gamcheon Basin of the Nakdong River, Korea
Author
Noh, Huiseong; Lee, Jongso; Kang, Narae; Lee, Dongryul; Kim, Hung Soo; Kim, Soojun
Publication year
2016
Publication date
2016
Publisher
John Wiley & Sons, Inc.
ISSN
16879309
e-ISSN
16879317
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1816906434
Copyright
Copyright © 2016 Huiseong Noh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.