JOURNAL ARTICLE

Watershed Modeling for Assessing Climate Change Impact on Stream Water Quality of Chungju Dam Watershed

Jong-Yoon ParkMinji ParkSo-Ra AhnSeong‐Joon Kim

Year: 2009 Journal:   Journal of Korea Water Resources Association Vol: 42 (10)Pages: 877-889   Publisher: Korea Water Resources Association

Abstract

본 연구에서는 SWAT(Soil and Water Assessment Tool) 모형을 이용하여 미래 기후변화가 충주댐 유역(6,585.1 km$^2$)의 하천수질에 미치는 영향을 분석하고자 하였다. 미래 기상자료는 IPCC에서 제공하는 A2, A1B, B1 배출시나리오를 포함하는 ECHAM5-OM 모형의 결과를 과거 30년(1977-2006, baseline period) 기후자료를 바탕으로 편이보정(bias correction)과 Change Factor Method로 Downscaling 하였다. 6년(1998-2003) 동안의 일별 유출량 및 월별 수질(SS, T-N, T-P) 자료를 이용하여 모형의 보정 및 검증을 실시한 후, Downscaling된 ECHAM5-OM의 A2, A1B, B1 시나리오에 대해 2020s, 2050s, 2080s로 대별되는 미래의 수문학적 거동 변화 및 하천수질 변화를 전망하였다. This study is to assess the future potential impact of climate change on stream water quality for a 6,581.1 km$^2$ dam watershed using SWAT (Soil and Water Assessment Tool) model. The ECHAM5-OM climate data of IPCC (The Intergovernmental Panel on Climate Change) A2, A1B, and B1 emission scenarios were adopted and the future data (2007-2099) were corrected using 30 years (1977-2006, baseline period) weather data and downscaled by Change Factor (CF) method. After model calibration and validation using 6 years (1998-2003) observed daily streamflow and monthly water quality (SS, T-N, and T-P) data, the future (2020s, 2050s and 2080s) hydrological behavior and stream water quality were projected.

Keywords:
Downscaling Soil and Water Assessment Tool Environmental science Watershed Climate change Baseline (sea) Streamflow Hydrology (agriculture) SWAT model Water quality Drainage basin Geography Geology

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23
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2.59
FWCI (Field Weighted Citation Impact)
6
Refs
0.89
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Citation History

Topics

Hydrology and Watershed Management Studies
Physical Sciences →  Environmental Science →  Water Science and Technology
Soil and Water Nutrient Dynamics
Physical Sciences →  Environmental Science →  Environmental Chemistry
Hydrological Forecasting Using AI
Physical Sciences →  Environmental Science →  Environmental Engineering
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