• Water Engineering Research
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• 제1권3호
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• pp.243-256
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• 2000

This physically-based hydrologic model is developed to calculate the soil-moisture balance on paddy fields. This model consists of three modules; the first is the unsaturated module, the second is the rice evapotranspiration module with SPAC(soil-plant-atmospheric-continuum), and the third is the groundwater and open channel flows based upon the interrehtionship module. The model simulates the hydrlogical processes of infiltration, soil water storage, deep perocolation or echarge to the shallow water table, transpiration and evaporation from the soil surface and also the interrelationship of the groundwater and river flow exchange. To verify the applicability of the developed model, it was applied to the Kimjae Plains, located in the center of the Dongjin river basin in Korea, during the most serious drought season of 1994. The result shows that the estimated water net requirement was 757mm and the water deficit was about 5.9% in this area in 1994. This model can easily evaluate the irrigated water quantity and visualize the common crop demands and soil moisture conditions.

• 한국농공학회지
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• 제33권4호
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• pp.61-72
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• 1991

A lumped deterministic model(DAWAST model) was developed to predict the daily streamflow. Since the streamflow is dominantly determined by the soil water storage in the watershed, the model takes the soil water accounting procedures which are based on three linear reservoirs representing the surface, unsaturated, and saturated soil layers. The variation of soil water storage in the unsaturated zone is traced from the soil water balance on a daily basis. DAWAST model consists of 5 parameters for water balance and 3 parameters for routing. A optimization technique of unconstrained nonlinear Simplex method was applied for the determination of the optimal parameters for water balance. Model verification was carried out to the 7 hydrologic watersheds with areas of 5.89-7,126km$^2$ and the results were generally satisfactory. The daily streamflow can be arbitrarily simulated with the input data of daily rainfall and pan evaporation by the DAWAST model at the station where the observed streamflow data of short periods are available to calibrate the model parameters.

• 한국지형학회지
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• 제15권2호
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• pp.37-53
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• 2008

본 연구는 장기적인 기상 자료(meterological data)와 하천 유출량 자료(stream run off data)의 획득이 가능한 충청도 병천천 유역에 대해 BROOK90 4.4e 물리 결정 물 수지 모델(physical deterministic water balance model)을 사용하여 '병천천 유역의 물 수지 모델'을 수립한 것이다. 모델 조작 매개변수(model fitting parameter)를 교정(calibration)한 비준 모델(validation model)을 가지고 기상 자료(meterological data)가 있지만 하천 유출량 자료(stream runoff data)는 없는 시기에 대한 장기적인 물 수지를 수립하였다. 연구의 결과는 a priori 모의 단계에서 실측 하천 유출량(measured stream runoff data)과 모의 하천 유출량(simulated stream runoff data)이 유사하게 나옴으로써 물 수지 모의 실험(experiment for water balance modeling)이라는 연구 성격으로서 목표하는 첫 번째 기대 수준에 도달하고 있다. 모델 조작 매개변수(model fitting parameter)를 확정하고 수행한 비준 모의(validated simulation)를 통해 과거 9년(1998년 ~ 2006년)의 물 수지가 복원되었다. 이 유역의 지형(geomophology), 식생(vegetation), 토양(soil), 토지이용(land use) 상황이 변하지 않는다면 기상자료(meterological data)만 가지고서 언제나 하천 유출량(stream runoff amount), 토양수량(siol water amount) 그리고 증발산량(evapotranspiration) 등 다양한 수문기후 자료를 생산할 수 있다. 이 연구는 현재 한국의 물 수지(water balance) 수립은 물론이고 과거의 물 수지 복원(water balance reconstruction) 분야에 또 하나 새로운 지평을 열었다. 이러한 연구 결과는 한반도에서의 기후(climate)와 식생(vegetation)의 변화에 따른 미래 물 수지(water balance) 예측 분야에서도 널리 활용할 수 있을 것이다.

• 대한토목학회논문집
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• 제31권3B호
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• pp.211-220
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• 2011

본 연구에서는 유역 물수지 모의를 위한 개념적인 토양수분모형이 제안된다. 모형은 지표면에 떨어지는 강수량이 지표면 유출, 습윤, 기화, 침루 등으로 분할되는 과정을 모의한다. 경험식으로 추정된 연별 기화량, NRCS-CN 방법으로 추정된 월별 습윤량 및 이 두 가지가 모두 주어진 경우를 구분하여 모형의 매개변수가 각각 추정되어 모형의 성능을 평가한다. 연별 기화량과 월별 습윤량 자료 모두가 모형 보정에 적용될 경우만이 보다 합리적인 강수분할이 모의될 수 있음이 분석된다.

• 한국토양비료학회지
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• 제48권4호
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• pp.246-254
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• 2015

This study explored the effect of rainfall pattern and soil characteristics on water management in rice paddy fields, using a soil water balance model, BUDGET. In two sites with different soil textural group, coarse loamy soil (Gangseo series) and fine soil (Hwadong series), respectively, we have monitored daily decrease of water depth, percolation rate, and groundwater table. The observed evapotranspiration (ET) was obtained from differences between water depth decrease and percolation rate. The root mean square difference values between observed and BUDGET-estimated ET ranged between 10% and 20% of the average observed ET. This is comparable to the measurement uncertainty, suggesting that the BUDGET model can provide reliable ET estimation for rice fields. In BUDGET model of this study, irrigation requirement was determined as minimum water need for maintaining water-saturated soil surface, assuming 100 mm of bund height and no lateral loss of water. The model results showed different water balance and irrigation requirement with the different soil profile and indicated that minimum percolation rate by plow pan could determine the irrigation requirement of rice paddy field. For the condition of different rainfall distribution, the results presented different irrigation period and amounts, representing the importance of securing water for irrigation against different rainfall pattern.

• 한국토양비료학회지
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• 제47권1호
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• pp.48-58
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• 2014

In order to evaluate water balance at upland according to RCP8.5 climate change scenario distributed by Korean Meteorological Administration (KMA), we simulated soil moisture using estimation model, called AFKAE0.5 for 66 sites from 2011 to 2020, and established the water balance maps. The amount of annual average precipitation by RCP8.5 scenario was highest in 2016 as recorded 2,062 mm and lowest in 2011 with 1,134 mm. As result of analysis for monthly precipitation and runoff, the amounts of precipitation and runoff have been especially intensive in July in 2014, 2016, 2019, and 2020. Overall, the area of Kyeongbuk and Gyeonggi was estimated more dried status of soil compared with precipitation. Except 2015 and 2020, soil water balance was recorded as negative value in other years which was calculated by subtracting output from input. The status of soil moisture was the most dry in 2020 among those in other years.

• 한국농공학회논문집
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• 제63권5호
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• pp.1-11
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• 2021

Soil moisture plays a critical role in hydrological processes, land-atmosphere interactions and climate variability. It can limit vegetation growth as well as infiltration of rainfall and therefore very important for agriculture sector and food protection. Recently, due to the increased damage from drought caused by climate change, there is a frequent occurrence of shortage of agricultural water, making it difficult to supply and manage stable agricultural water. Efficient water management is necessary to reduce drought damage, and soil moisture management is important in case of upland crops. In this study, soil moisture was calculated based on the water balance model, and the suitability of soil moisture data was verified through the application. The regional soil moisture was calculated based on the meteorological data collected by the meteorological station, and applied the Runs theory. We analyzed the spatiotemporal variability of soil moisture and drought impacts, and analyzed the correlation between actual drought impacts and drought damage through correlation analysis of Standardized Precipitation Index (SPI). The soil moisture steadily decreased and increased until the rainy season, while the drought size steadily increased and decreased until the rainy season. The regional magnitude of the drought was large in Gyeonggi-do and Gyeongsang-do, and in winter, severe drought occurred in areas of Gangwon-do. As a result of comparative analysis with actual drought events, it was confirmed that there is a high correlation with SPI by each time scale drought events with a correlation coefficient.

• 한국농공학회지
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• 제41권6호
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• pp.33-43
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• 1999

Drought is a serious diaster in agriculutre, especially to upland crops. Hence, the Agricultural Drought Analysis Model (ADAM) that is integratable with GIS was applied to analyae agriculture drought in upland. ADAM is composed of two sub-models , one is a Soil Water Balance Model (SWBM) and the other is a Drougth Analysis Model (DAM) that is based on the Runs theory. The ADAM needs weather data, rainfall data and soil physical characteristics data as input and calculates daily soil moisture contents. GIS was integrated to the ADAM for the calculation of regional soil moisture using digitized landuse map, detaile dsoil map, thiessen network and district boundary . For the agriculutral drought analysis, the ADAM adapt the Runs theory for analyzing drought duration, severity and magnitude . Log-Pearson Type-III probability distribution function and Kolmogorov-Smirnov test were used to test the fitness of good of the model. The integration of ADAM with GIS was successfully implemented and would be operated effectively for the regional drought analysis.

• 한국물환경학회지
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• 제28권4호
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• pp.582-594
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• 2012

A simple ecohydorlogic model that simulates hydrologic components and vegetation dynamics simultaneously based on equations of soil water dynamics and vegetation's growth and mortality is discussed. In order to simulate ungauged watersheds, the proposed model is calibrated with indirected estimated observation data set; 1) empirically estimated annual vaporization, 2) monthly surface runoff estimated by NRCS-CN method, and 3) vegetation fraction estimated by SPOT/VEGETATION NDVI. In order to check whether the model is performed well with indirectly estimated data or not, four upper dam watersheds (Andong, Habcheon, Namgang, Milyang) in Nakdong River watershed are selected, and the model is verified.

• 한국물환경학회지
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• 제25권1호
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• pp.112-119
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• 2009

Based on the study of soil water dynamics, this study is to suggest an advanced stochastic soil water model for future study for drought application. One distinguishable remark of this study is the derivation of soil water dynamic controling equation for 3-stage loss functions in order to understand the temporal behaviour of soil water with reaction to the precipitation. In terms of modeling, a model with rather simpler structure can be applied to regenerate the key characteristics of soil water behavior, and especially the probabilistic solution of the derived soil water dynamic equation can be helpful to provide better and clearer understanding of soil water behavior. Moreover, this study will be the future cornerstone of applying to more realistic phenomenon such as drought management.