Abstract

병성천의 기후변화에 대한 영향을 평가하기 위하여 CGCM 3.1 T63의 A2 시나리오를 미래기후정보로 선택하였으며, CGCM으로부터 획득된 강수자료를 비롯한 미래기후자료는 다지점 강수발생기를 통하여 지역기후자료로 규모내림되어졌다. 상기 규모내림된 기후자료는 병성천의 유출량 및 수질을 예측하기 위하여 SWAT모형의 입력자료로 사용되었다. 간단한 민감도분석의 결과로서, 대기 중 이산화탄소 농도의 증가는 증발산량의 감소와 토양수분의 증가를 유발하여 유출량을 증가시키는 작용을 하는 것으로 분석되었다. 수문반응은 강수의 변화와 동조되어 2021-2030년의 경우 유출량 감소가 예측되었으며, 2051-2060년의 경우 봄철 유출량 감소와 여름철 유출량 증가가 예측되었다. 토사유출량 또한 수문반응과 유사한 반응을 보임을 확인하였으나, 총 질소와 같은 영양물질은 반드시 수문반응과 비슷한 반응을 보이진 않음을 확인할 수 있었다. 하지만, 본 연구에서 사용된 GCM-규모내림과정-유역모형의 적용과 같은 다중모형화분석에는 각각의 모형화과정에서 많은 불확실성이 내재되어 있음에 유의하여야 할 것이다. For the assessment of climate change impacts for the Byeongseong stream, CGCM 3.1 T63 is selected as future climate information. The projections come from CGCM used to simulate the GHG emission scenario known as A2. Air temperature and precipitation information from the GCM simulations are converted to regional scale data using the statistical downscaling method known as MSPG. Downscaled climate data from GCM are then used as the input data for the SWAT model to generate regional runoff and water quality estimates in the Byeongseong stream. As a result of simple sensitivity analysis, the increase of CO2 concentration leads to increase water yield through reduction of evapotranspiration and increase of soil water. Hydrologic responses to climate change are in phase with precipitation change. Climate change is expected to reduce water yields in the period of 2021-2030. In the period of 2051-2060, stream flow is expected to be reduced in spring season and increased in summer season. While soil losses are also in phase with water yields, nutrient discharges (i.e., total nitrogen) are not always in phase with precipitation change. However, it should be noted that there are a lot of uncertainties in such multiple-step analysis used to convert climate information from GCM-based future climate projections into hydrologic information.

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