SWAT모형을 이용한 RCP 기후변화 시나리오에 따른 고랭지농업유역의 수문 및 수질 평가
Assessment of Climate Change Impact on Highland Agricultural Watershed Hydrologic Cycle and Water Quality under RCP Scenarios using SWAT
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초록
The purpose of this study were to evaluate the effect of best management practices (BMPs) of Haean highland agricultural catchment (62.8 km2) under future climate change using SWAT (Soil and Water Assessment Tool). Before future evaluation, the SWAT was setup using 3 years (2009~2011) of observed daily streamflow, suspended solid (SS), total nitrogen (T-N), and total phosphorus (T-P) data at three locations of the catchment. The SWAT was calibrated with average 0.74 Nash and Sutcliffe model efficiency for streamflow, and 0.78, 0.63, and 0.79 determination coefficient (R2 ) for SS, T-N, and T-P respectively. Under the HadGEM-RA RCP (Representative Concentration Pathway) 4.5 and 8.5 scenarios, the future precipitation and maximum temperature showed maximum increases of 8.3 % and 4.2 °C respectively based on the baseline (1981~2005). The future 2040s and 2080s hydrological components of evapotranspiration, soil moisture, and streamflow showed changes of +3.2~+17.2 %, -0.1~-0.7 %, and -9.1~+8.1 % respectively. The future stream water quality of suspended solid (SS), total nitrogen (T-N), and total phosphorus (T-P) showed changes of -5.8~+29.0 %, -4.5~+2.3 %, and +3.7~+17.4 % respectively. The future SS showed wide range according to streamflow from minus to plus range. We can infer that this was from the increase of long-term rainfall variability in 2040s less rainfalls and 2080s much rainfalls. However, the results showed that the T-P was the future target to manage stream water quality even in 2040s period.
Abstract
The purpose of this study were to evaluate the effect of best management practices (BMPs) of Haean highland agricultural catchment (62.8 km2) under future climate change using SWAT (Soil and Water Assessment Tool). Before future evaluation, the SWAT was setup using 3 years (2009~2011) of observed daily streamflow, suspended solid (SS), total nitrogen (T-N), and total phosphorus (T-P) data at three locations of the catchment. The SWAT was calibrated with average 0.74 Nash and Sutcliffe model efficiency for streamflow, and 0.78, 0.63, and 0.79 determination coefficient (R2 ) for SS, T-N, and T-P respectively. Under the HadGEM-RA RCP (Representative Concentration Pathway) 4.5 and 8.5 scenarios, the future precipitation and maximum temperature showed maximum increases of 8.3 % and 4.2 °C respectively based on the baseline (1981~2005). The future 2040s and 2080s hydrological components of evapotranspiration, soil moisture, and streamflow showed changes of +3.2~+17.2 %, -0.1~-0.7 %, and -9.1~+8.1 % respectively. The future stream water quality of suspended solid (SS), total nitrogen (T-N), and total phosphorus (T-P) showed changes of -5.8~+29.0 %, -4.5~+2.3 %, and +3.7~+17.4 % respectively. The future SS showed wide range according to streamflow from minus to plus range. We can infer that this was from the increase of long-term rainfall variability in 2040s less rainfalls and 2080s much rainfalls. However, the results showed that the T-P was the future target to manage stream water quality even in 2040s period.
참고문헌 (21)
- Ahn, J. H., "An Analysis of Hydrologic Changes in Daechung Dam Basin using GCM Simulation Results due to Global Warming", Journal of the Korea Water Resources Association, 34(4), pp.335~345 (2001)
- 안소라, "SWAT 모형을 이용한 미래 기후변화가 설마천 혼효림 유역의 증발산과 토양수분에 미치는 영향 평가", 한국수자원학회 논문집, 46(6), pp.569~583 (2013), 한국수자원학회
- Andersen, H. E., "Climate-change impacts on hydrology and nutrients in a Danish lowland river basin", Science of the Total Environment, 365, pp.223~237 (2006)
- Arnold, J. G., "SWAT manual" (1996), USDA. Agricultural Research Service and Blackland Research Center
- IPCC-TGCIA guidelines on the use of scenario data for climate change impact and adaptation assessment. version 1, "Carter, T. R.", IPCC, Task Group on Scenarios for Impact Assessment, ~ (1999)
- Chen, J., "The mechanism and scenarios of how mean annual runoff varies with climate change in Asian monsoon areas", Journal of Hydrology, 517, pp.595~606 (2014)
- Impact assessment of climate change for agricultural reservoirs considering uncertainty. Research Report, "Cho, J. P.", APEC climate Center, ~ (2013)
- IPCC, "The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change" (2013), Cambridge University Press
- 장선숙, "RCP 기후변화 시나리오에 따른 임하댐 유역의 미래 수문순환 전망", 한국지리정보학회지, 18(1), pp.156~169 (2015), 한국지리정보학회[DOI]
- 정차미, "SWAT모형을 이용한 용담댐 유역의 유량 전망 결과 비교 연구", 한국수자원학회 논문집, 48(6), pp.439~449 (2015), 한국수자원학회
- 강신규, "산지복잡지형과 생태적 비균질성: 산지경관의 생산성과 수자원", 수질에 관한 생태계 서비스 평가, 2010, pp.12(4), 307~316[DOI]
- 이근상, "기후변화에 따른 안동·임하호 유역의 부유사량 분석", 한국지리정보학회지, 13(1), pp.1~15 (2010), 한국지리정보학회
- 이용준, "SWAT 모형을 이용한 미래 기후변화 및 토지이용 변화에 따른 안성천 유역 수문 - 수질 변화 분석 (II)", 대한토목학회 논문집B, 28(6), pp.665~672 (2008), 대한토목학회
- Nash, J. E., "River flow forecasting though conceptual models: Part I, A discussion of principles", Journal of Hydrology, 10(3), pp.282~290 (1970)
- Soil and water assessment tool, Theoretical Documentation, "Neitsch, S. L.", ~ (2001)
- Park, H. K., "Environmental Damages and Control Measures By Highland Agriculture-Study on System Improvement", Master, pp.2006
- 박종윤, "RCP 배출 시나리오와 SWAT 모형을 이용한 기후변화가 용담댐 유역의 수문요소에 미치는 영향 평가", 한국농공학회논문집, 56(3), pp.19~29 (2014), 한국농공학회
- Seo, B., "Deriving a per-field land use and land cover map in an agricultural mosaic catchment", Earth System Science Data, 6(2), pp.339~352 (2014)
- Shope, C. L., "Using the SWAT model to improve process descriptions and define hydrologic partitioning in South Korea", Hydrology and Earth System Sciences, 18(2), pp.539~557 (2014)
- Su, B., "Projected precipitation and streamflow under SRES and RCP emission scenarios in the Songhuajiang River basin, China", Journal of Quaternary International, 380(381), pp.95~105 (2015)
- Williams, J. R., "Sediment-yield prediction with universal equation using runoff energy factor", present and prospective technology for predicting sediment yield and sources, ARS-S-40 (1975), USDA-ARS