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

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 da...

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Main Authors: Huiseong Noh, Jongso Lee, Narae Kang, Dongryul Lee, Hung Soo Kim, Soojun Kim
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2016/2485251
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author Huiseong Noh
Jongso Lee
Narae Kang
Dongryul Lee
Hung Soo Kim
Soojun Kim
author_facet Huiseong Noh
Jongso Lee
Narae Kang
Dongryul Lee
Hung Soo Kim
Soojun Kim
author_sort Huiseong Noh
collection DOAJ
description 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 Rgauge and Rradar 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 Rgauge, RZ, and RKDP were utilized as input data for the SWAT model. As a result of the daily runoff simulation for analysis periods using RZ(P) and RKDP(P), the simulation which utilized Rgauge reflected the rainfall-runoff characteristics better than the simulations which applied RZ(P) or RKDP(P). However, in the rainy or wet season, the simulations which utilized RZ(P) or RKDP(P) were similar to or better than the simulation that applied Rgauge. 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.
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spelling doaj-art-984ac6765a7c4f91bc7a2cbb37989fd22025-08-20T02:09:59ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/24852512485251Long-Term Simulation of Daily Streamflow Using Radar Rainfall and the SWAT Model: A Case Study of the Gamcheon Basin of the Nakdong River, KoreaHuiseong Noh0Jongso Lee1Narae Kang2Dongryul Lee3Hung Soo Kim4Soojun Kim5Water Resources Research Division, Korea Institute of Civil Engineering and Building Technology (KICT), Goyang 10223, Republic of KoreaDepartment of Civil Engineering, Inha University, Incheon 22212, Republic of KoreaDepartment of Civil Engineering, Inha University, Incheon 22212, Republic of KoreaWater Resources Research Division, Korea Institute of Civil Engineering and Building Technology (KICT), Goyang 10223, Republic of KoreaDepartment of Civil Engineering, Inha University, Incheon 22212, Republic of KoreaColumbia Water Center, Earth Institute, Columbia University, New York, NY 10027, USAIn 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 Rgauge and Rradar 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 Rgauge, RZ, and RKDP were utilized as input data for the SWAT model. As a result of the daily runoff simulation for analysis periods using RZ(P) and RKDP(P), the simulation which utilized Rgauge reflected the rainfall-runoff characteristics better than the simulations which applied RZ(P) or RKDP(P). However, in the rainy or wet season, the simulations which utilized RZ(P) or RKDP(P) were similar to or better than the simulation that applied Rgauge. 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.http://dx.doi.org/10.1155/2016/2485251
spellingShingle Huiseong Noh
Jongso Lee
Narae Kang
Dongryul Lee
Hung Soo Kim
Soojun Kim
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
Advances in Meteorology
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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
url http://dx.doi.org/10.1155/2016/2485251
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