Operational Water Temperature Forecast for the Nakdong River Basin Using HSPF Watershed Model

Shin, Chang Min; Na, Eun Hye; Kim, Duck Gil; Kim, Kyung-Hyun

doi:10.15681/kswe.2014.30.6.673

Cited by 3 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…al., 2008;Kim et al, 2006;Murdoch et al, 2000). (Bae et al, 2008;Jang et al, 2015;Kim et al, 2004;Shin et al, 2013;Shin et al, 2014;Yoon et al, 2007).…”

unclassified

Assessment of Runoff and Water temperature variations under RCP Climate Change Scenario in Yongdam dam watershed, South Korea

Yi¹,

Kim²,

Hwang³

et al. 2016

Journal of Korean Society on Water Environment

View full text Add to dashboard Cite

The objective of this study is to quantitatively analyze climate change effects by using statistical trends and a watershed model in the Yongdam dam watershed. The annual average air temperature was found to increase with statistical significance. In particular, greater increases were observed in autumn. Also, this study was performed to evaluate the potential climate change in the streamflow and water temperature using a watershed model (HSPF) with RCP climate change scenarios. The streamflow of Geum river showed a decrease of 5.1% and 0.2%, respectively, in the baseline data for the 2040s and 2080s. The seasonal impact of future climate change on the streamflow showed a decrease in the summer and an increase in the winter. The water temperature of Geum river showed an average increase of 0.7~1.0°C. Especially, the water temperature of Geum river showed an increase of 0.3~0.5°C in the 2040s and 0.5~1.2°C in the 2080s. The seasonal impact of future climate change on the water temperature showed an increase in winter and spring, with a decrease in summer. Therefore, it was determined that a statistical analysis-based meteorological and quantitative forecast of streamflow and water temperature using a watershed model is necessary to assess climate change impact and to establish plans for future water resource management.

show abstract

“…al., 2008;Kim et al, 2006;Murdoch et al, 2000). (Bae et al, 2008;Jang et al, 2015;Kim et al, 2004;Shin et al, 2013;Shin et al, 2014;Yoon et al, 2007).…”

unclassified

Assessment of Runoff and Water temperature variations under RCP Climate Change Scenario in Yongdam dam watershed, South Korea

Yi¹,

Kim²,

Hwang³

et al. 2016

Journal of Korean Society on Water Environment

View full text Add to dashboard Cite

show abstract

Spatial-temporal variation of permanganate index under accident conditions during different water periods in Zigui drinking water source area, Three Gorges reservoir area, China

Ding

Han

Kang

et al. 2019

Ecological Indicators

View full text Add to dashboard Cite

Operational Water Quality Forecast for the Nakdong River Basin Using HSPF Watershed Model

Shin¹,

Kim²

2016

Journal of Korean Society on Water Environment

Self Cite

View full text Add to dashboard Cite

A watershed model was constructed using the Hydrological Simulation Program Fortran to predict the water quality, especially chlorophyll-a concentraion, at major tributaries of the Nakdong River basin, Korea. The BOD export loads for each land use in HSPF model were estimated at 1.47~8.64 kg/km 2 /day; these values were similar to the domestic monitoring export loads. The T-N and T-P export loads were estimated at 0.618~3.942 kg/km 2 /day and 0.047~0.246 kg/km 2 /day, slightly less than the domestic monitoring data but within the range of foreign literature values. The model was calibrated at major tributaries for a threeyear period (2008 to 2010). The deviation values ranged from -31.5~1.6% of chlorophyll-a, -24.0~2.2% of T-N, and -5.7~34.8% of T-P. The root mean square error (RMSE) ranged from 4.3~44.4 ug/L for chlorophyll-a, -0.6~1.5 mg/L for T-N, and 0.04~0.18 mg/L for T-P, which indicates good calibration results. The operational water quality forecasting results for chlorophyll-a presented in this study were in good agreement with measured data and had an accuracy similar with model calibration results.

show abstract

Operational Water Temperature Forecast for the Nakdong River Basin Using HSPF Watershed Model

Cited by 3 publications

References 5 publications

Assessment of Runoff and Water temperature variations under RCP Climate Change Scenario in Yongdam dam watershed, South Korea

Assessment of Runoff and Water temperature variations under RCP Climate Change Scenario in Yongdam dam watershed, South Korea

Spatial-temporal variation of permanganate index under accident conditions during different water periods in Zigui drinking water source area, Three Gorges reservoir area, China

Operational Water Quality Forecast for the Nakdong River Basin Using HSPF Watershed Model

Contact Info

Product

Resources

About