간월호 유역의 토지이용 및 기후변화에 따른 논밭 필요수량 변화 추정
Estimation of Crop Water Requirement Changes Due to Future Land Use and Climate Changes in Lake Ganwol Watershed
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초록
This study aims to assess the changes in crop water requirement of paddy and upland according to future climate and land use changes scenarios. Changes in the spatiotemporal distribution of temperature and precipitation are factors that lower the stability of agricultural water supply, and predicting the changes in crop water requirement in consideration of climate change can prevent the waste of limited water resources. Meanwhile, due to the recent changes in the agricultural product consumption structure, the area of paddy and upland has been changing, and it is necessary to consider future land use changes in establishing an appropriate water use plan. Climate change scenarios were derived from the four GCMs of the CMIP6, and climate data were extracted under two future scenarios, namely SSP1-2.6 and SSP5-8.5. Future land use changes were predicted using the FLUS (Future Land Use Simulation) model. Crop water requirement in paddy was calculated as the sum of evapotranspiration and infiltration based on the water balance in a paddy field, and crop water requirement in upland was estimated as the evapotranspiration value by applying Penman-Monteith method. It was found that the crop water requirement for both paddy and upland increased as w e go to the far future, and the degree of increase and variability by time showed different results for each GCM. The results derived from this study can be used as basic data to develop sustainable water resource management techniques considering future watershed environmental changes.
Abstract
This study aims to assess the changes in crop water requirement of paddy and upland according to future climate and land use changes scenarios. Changes in the spatiotemporal distribution of temperature and precipitation are factors that lower the stability of agricultural water supply, and predicting the changes in crop water requirement in consideration of climate change can prevent the waste of limited water resources. Meanwhile, due to the recent changes in the agricultural product consumption structure, the area of paddy and upland has been changing, and it is necessary to consider future land use changes in establishing an appropriate water use plan. Climate change scenarios were derived from the four GCMs of the CMIP6, and climate data were extracted under two future scenarios, namely SSP1-2.6 and SSP5-8.5. Future land use changes were predicted using the FLUS (Future Land Use Simulation) model. Crop water requirement in paddy was calculated as the sum of evapotranspiration and infiltration based on the water balance in a paddy field, and crop water requirement in upland was estimated as the evapotranspiration value by applying Penman-Monteith method. It was found that the crop water requirement for both paddy and upland increased as w e go to the far future, and the degree of increase and variability by time showed different results for each GCM. The results derived from this study can be used as basic data to develop sustainable water resource management techniques considering future watershed environmental changes.
참고문헌 (33)
- Crop evapotranspiration: guidelines for computing crop requirements, "Allen, R. G.", Fao, ~, pp.FAO Irrigation and Drainage Paper 56 (1998)
- Allen, R. G., "Operational estimates of reference evapotranspiration", Agronomy Journal, 81(4), pp.650~662 (1989)[DOI]
- Batty, M., "Urban systems as cellular automata", Environment and Planning B : Planning and Design, 1997(24), pp.159~164 (1997)
- Chen, Y., "Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy", International Journal of Geographical Information Science, 28(2), pp.234~255 (2014)[DOI]
- Impact assessment of climate change for agricultural reservoirs considering uncertainty, "Cho, J. P.", APEC Cllimate Center, ~, pp.Research Report 2013-05 (2013)
- 최순군, "불확실성을 고려한 논벼 증발산량 기후변화 영향 평가", 한국기후변화학회지, 9(2), pp.143~156 (2018), 한국기후변화학회[DOI]
- Chung, H. W., "Irrigation and Drainage Engineering" (2006), Dongmyeong Publisher
- Guo, H., "Dynamic simulation of coastal wetlands for Guangdong-Hong Kong-Macao Greater Bay area based on multi-temporal Landsat images and FLUS model", Ecological Indicators, 125, pp.107559~ (2021)[DOI]
- 홍민기, "WRF 기상자료의 토양수분 모형 적용을 통한 밭 토양수분 및 필요수량 산정", 한국농공학회논문집, 57(6), pp.173~183 (2015), 한국농공학회
- Hwang, S., "Dynamic resilience assessment for water quality management of estuarine reservoir using SWATEFDC model", Ph.D., pp.2020
- 임상준, "농업유역의 논 관개회귀수량 추정 모형의 개발", 박사, 농업토목, pp.2000
- Ju, W, J., "Development of system for estimating water demand considering variation of farming conditions in paddy field", Korean National Committee on Irrigation and Drainage, 13(1), pp.82~90 (2006)
- Research on a test for integrated agricultural water resources, "Kim, J. T.", Rural Research Institute, ~ (2011)
- 김성준, "면적규모 및 공간해상도가 CA-Markov기법에 의한 미래 토지이용 예측결과에 미치는 영향", 한국지리정보학회지, 10(2), pp.58~70 (2007), 한국지리정보학회
- Kriegler, E., "A new scenario framework for climate change research : the concept of shared climate policy assumptions", Climate Change, 122(2014), pp.401~414 (2014)
- Lee, J. H., "Water management and water quality conservation measures for freshwater lakes in Seosan A and B districts", Water for Future, 34(6), pp.46~52 (2001)
- Li, X., "Neural-network-based cellular automata for simulating multiple land use changes using GIS", International Journal of Geographical Information Science, 16(4), pp.323~343 (2002)
- Li, X., "A new global land-use and landcover change product at a 1-km resolution for 2010 to 2100based on human–environment interactions", Annals of the American Association of Geographers, 107(5), pp.1040~1059 (2017)[DOI]
- Li, Z., "Future impacts of land use change on ecosystem services under different scenarios in the ecological conservation area, Beijing, China", Forests, 11(5), pp.584~ (2020)[DOI]
- Liang, X., "Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model", International Journal of Geographical Information Science, 32(11), pp.2294~2316 (2018)[DOI]
- Lin, W., "Scenariobased flood risk assessment for urbanizing deltas using future land-use simulation(FLUS) : Guangzhou Metropolitan Area as a case study", Science of the Total Environment, 739, pp.139899~ (2020)[DOI]
- Liu, X., "A future land use simulation model(FLUS)for simulating multiple land use scenarios by coupling human and natural effects", Landscape and Urban Planning, 168(2017), pp.94~116 (2017)[DOI]
- Park, J. S., "Reasonable river water permit and management plan in estuarine reservoir", Water for Future, 53(8), pp.17~23 (2020)
- Pontius Jr, R. G., "Death to Kappa : Birth of quantity disagreement and allocation disagreement for accuracy assessment", International Journal of Remote Sensing, 32(15), pp.4407~4429 (2011)[DOI]
- Pontius, R. G., "Comparing the input, output, and validation maps for several models of land change", The Annals of Regional Science, 42(2008), pp.11~37 (2008)
- 송정헌, "복합영농 관개지구의 배수량 모의 모형의 개발", 한국농공학회논문집, 55(3), pp.63~73 (2013), 한국농공학회
- Song, J. H., "Lessons from assessing uncertainty in agricultural water supply estimation for sustainable rice production", Agronomy, 9(10), pp.662~ (2019)[DOI]
- Verburg, P. H., "Modeling the spatial dynamics of regional land use : the CLUE-S model", Environmental Management, 30(3), pp.391~405 (2002)
- Structural transformation in Korean agriculture: changes and challenges (year 1 of 2), "Yoo, C. H.", Korea Rural Economic Institute, 62~67, pp.KREI Research Report 1-208 (2019)
- 유승환, "논벼에 대한 Penman-Monteith와 FAO Modified Penman 공식의 작물 계수 산정", 한국농공학회논문집, 48(1), pp.13~23 (2006), 한국농공학회
- 유승환, "고해상도 기후시나리오를 이용한 논용수 수요량 및 단위용수량의 기후변화 영향 분석", 한국농공학회논문집, 54(2), pp.15~26 (2012), 한국농공학회[DOI]
- Yoon, C. G., "Prediction of water quality in estuarine reservoir using SWMM and WASP5", Korean Journal of Environmental Agriculture, 19(3), pp.252~258 (2000)
- 윤동균, "기후변화가 논 필요수량에 미치는 영향", 한국농공학회논문집, 53(4), pp.39~47 (2011), 한국농공학회
