Continuous water stress conditions such as floods and agricultural drought have a decisive effect on reduced crop growth and production in the agricultural sector, processes that are sensitive to climate change. Agricultural drought occurs when crops do not receive timely water requirements in the process of crop growth. In the case of upland crops, it is defined as the lack of soil moisture. Reasonable agricultural water management plans are necessary to build timely and appropriate water supply systems for the proper management of agricultural water. According to statistics, Korea’s rice consumption has been steadily decreasing over the past 30 years. The Korean government has recently been promoting a transition to the cultivation of upland crops. Several studies have been carried out to estimate water demand impacts, in terms of consumptive water use of upland crops by growing stages for pepper, potatoes, and maize in open fields. Since previous studies mainly use soil water balance models considering climate characteristics, there are limitations in establishing irrigation plans for actual upland crops. In this study, we have developed a soil moisture content estimation method for growing season of upland crops using the Soil-Water-Atmosphere-Plant (SWAP)model which is a process-based agro-hydrological model that can take into consideration climate characteristics and land surface characteristics (soil, terrain, crops, etc.). Also we proposed a method for estimating the actual crop evapotranspiration over the growing season of upland crops using crop growth information (crop growth stage, crop coefficient) and meteorological observations. Soil hydraulic parameters (  ,

 ,   , , ) that represent the retention curve and the unsaturated hydraulic conductivity-pressure head relationships (van Genuchten et al., 1991) were estimated using the Rosetta model for 55 agricultural weather stations’s soils being operated by the Korean National Institute of Agricultural Sciences, 277 soil series, Haenam Farmland KoFlux (HFK) station’s soil, Maize and Soybean cultivation area’s soils. As a result of analyzing the correlation coefficient (r), root-mean square error (RMSE), and temporal correlation coefficient (TCC) between the estimated soil moisture content and the observed values for the HFK station, it is concluded that

the proposed soil moisture content estimation method is reliable. A serious error occurred in the simulation results at four observation points (ID: JCBY, JEJE, SJDG, YCYC) that are sand soil. For sand soil where simulation error occurs, soil hydraulic parameter adjustment is necessary. We estimated the variation in soil moisture content over the growing season in maize cultivation area in Pyeongchang, Gangwon province and in soybean cultivation area in Youngju, Gyeongbuk province. The actual evapotranspiration of upland crops was calculated in order to estimate the consumptive water use of upland crops at each growth stage.

1. 서론

1.1 연구 배경 및 필요성

1.2 연구 목적

2. 연구 방법

2.1 SWAP 모형을 이용한 토양수분 함량 추정 방법

2.1.1 SWAP 모형 개요

2.1.2 SWAP 모형 입력 자료

2.1.3 SWAP 모형 시뮬레이션

2.2 SWAP 모형의 수리학적 매개변수 추정모형: ROSETTA

2.2.1 ROSETTA 모형 개요

2.2.2 토양 수리학적 매개변수

2.3 밭작물 소비수량 추정 방법

2.3.1 잠재증발산량 추정

2.3.2 작물 소비수량 추정

3. 연구 결과

3.1 SWAP 모형 검증

3.1.1 해남 KoFlux 관측지점

3.1.1.1 해남 KoFlux 관측지점 토양 자료 및 수리학적 매개변수

3.1.1.2 해남 KoFlux 관측지점 기상 자료

3.1.1.3 해남 KoFlux 관측지점 토양수분 자료

3.1.1.4 해남 KoFlux 관측지점 비교 검증

3.1.2 농촌진흥청 기상 관측지점

3.1.2.1 농촌진흥청 기상 관측지점 토양 및 토양통 자료

3.1.2.2 농촌진흥청 기상 관측지점 기상 자료

3.1.2.3 농촌진흥청 기상 관측지점 토양수분 자료

3.1.2.4 농촌진흥청 기상 관측지점 비교 검증

3.2 밭작물 재배지역 적용

3.2.1 옥수수 재배지역

3.2.1.1 옥수수 재배지역 토양 자료 및 수리학적 매개변수

3.2.1.2 옥수수 재배지역 기상 자료

3.2.1.3 옥수수 생육 정보

3.2.1.4 옥수수 재배지역 토양수분 함량 추정

3.2.2 콩 재배지역

3.2.2.1 콩 재배지역 토양 자료 및 수리학적 매개변수

3.2.2.2 콩 재배지역 기상 자료

3.2.2.3 콩 생육 정보

3.2.2.4 콩 재배지역 토양수분 함량 추정

3.3 작물 소비수량 추정

3.3.1 잠재증발산량 추정

3.3.2 밭작물 재배지역 작물 소비수량 추정

4. 결론

감사의 글

REFERENCE

부 록

1. 토양 수리학적 매개변수

2. 기상 관측지점 시뮬레이션 검증