• Title/Summary/Keyword: national environment

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Operational Hydrological Forecast for the Nakdong River Basin Using HSPF Watershed Model (HSPF 유역모델을 이용한 낙동강유역 실시간 수문 유출 예측)

  • Shin, Changmin;Na, Eunye;Lee, Eunjeong;Kim, Dukgil;Min, Joong-Hyuk
    • Journal of Korean Society on Water Environment
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    • v.29 no.2
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    • pp.212-222
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    • 2013

  • A watershed model was constructed using Hydrological Simulation Program Fortran to quantitatively predict the stream flows at major tributaries of Nakdong River basin, Korea. The entire basin was divided into 32 segments to effectively account for spatial variations in meteorological data and land segment parameter values of each tributary. The model was calibrated at ten tributaries including main stream of the river for a three-year period (2008 to 2010). The deviation values (Dv) of runoff volumes for operational stream flow forecasting for a six month period (2012.1.2 to 2012.6.29) at the ten tributaries ranged from -38.1 to 23.6%, which is on average 7.8% higher than those of runoff volumes for model calibration (-12.5 to 8.2%). The increased prediction errors were mainly from the uncertainties of numerical weather prediction modeling; nevertheless the stream flow forecasting results presented in this study were in a good agreement with the measured data.

  • KSCI

Comparative Analysis of ADCP Flow Measurement According to River Bed Material (하상재료에 따른 ADCP의 유량측정 비교 분석)

  • Choi, Jin-Woo;Hong, Chang-Su;Shin, Kyung-Yong;Lee, Jin Uk;Kim, Jeong-ae;Cho, Yong-Chul;Yu, Soon-Ju
    • Ecology and Resilient Infrastructure
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    • v.5 no.3
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    • pp.156-162
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    • 2018

  • This research aimed at analyzing comparison results between in gravel and sand bed with respect to the detailed Acoustic Doppler Current Profiler (ADCP) measurement in a velocity, depth, and flow rate data based on Acoustic Doppler Velocimeter (ADV) measurement result. Conclusionally, similar results were shown for gravel and sand bed in velocity, depth and flow rate data using ADV and ADCP measurement. The results of the flow rate show a relative error mean of 3.5 - 4.8% in the gravel bed and 0.02 - 3.2% in the sand bed, which is better performance than the mean error of 5% suggested by United States Geological Survey (USGS). The results can be used as a basis data for the measurement of ADCP and potentially able to be utilized for the more detailed uncertainty analysis of ADCP flow rate measurement.

  • https://doi.org/10.17820/eri.2018.5.3.156 인용 PDF KSCI