• Korean Journal of Agricultural and Forest Meteorology
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• v.18 no.2
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• pp.88-98
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• 2016

The storage variation in the vadose zone at a hillslope is important to understand the hydrological process. This study explores seasonal changes of soil water storage at a hillslope scale. The study was conducted on a hillslope of Beomrunsa, located in the Seolma-cheon river basin in Paju-si, Gyeonggi-do. Using soil moisture measurements through Time Domain Reflectometry (TDR), storage, discharge, and response constant were calculated for all monitoring points on a hillslope between March and November, 2010. This study found that temporal changes in storage are resulted from the rainfall distribution patterns. Analysis of the spatial changes in storage indicated that the soil water storage tends to increase towards the downslope direction. The discharges calculated based on the soil water measurements exhibited a high correlation with observation discharge. The storage response constant was high during the autumn which demonstrates the increased contribution from upslope is responsible for the occurrence of soil water recharge during autumn.

• Asian Journal of Turfgrass Science
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• v.26 no.2
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• pp.129-134
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• 2012

Research was focused on the improvement of poor drainage problems on golf course fairway which had not been performed soil test or properly amended during the course construction. The analysis of the drainage problem basically was caused by a deterioration of soil physical properties by the top layer compaction. The soil hardness reached about 3,000 Kpa around 5~6 cm of soil profile. The slow infiltration speed to subsoil by the compaction was caused directly a poor drainage capacity. However, the properly amended sand soil showed an apparent value of 1,500 Kpa through the subsoil. The water content test showed a similar result that higher rate of 20~30% and ideal rate of 8~12% at poor drainage area and successfully amended area, respectively. However, an imported topsoil media which had higher content of silt and clay from a trans-planted sod had made a heterogeneous soil profile and that caused a poor drain capacity by a low infiltration rate. Those drainage problems triggered to buildup a reduced soil layer by poor soil gas exchange. The soil environment of deoxidation enhanced anaerobic microbial population and induced methane gas build-up to 55 ppm, and that resulted an adverse effect on turf growth by root growth retardation, consequently.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.6
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• pp.776-781
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• 2010

Estimating the electrical conductivity of the saturation-paste (SP) is a common method to assess soil salinity. To assess soil salinity realistically, it is important to extract soil solution under field capacity. However, few studies on salinity assessment have been conducted for soil solution extracted under field capacity (-33 kPa; FC) moisture condition due to difficulty in soil solution extraction. This study was conducted to evaluate whether saturation-paste can represent field condition. Soil solutions were extracted from 22 soils in the plastic film house (PFH) and 18 soils in the reclaimed land (RL) at saturation and field capacity moisture conditions. Those were analyzed for pH, EC, cations ($K^+$, $Ca^{2+}$, $Mg^{2+}$, $Na^+$) and anions ($Cl^-$, ${NO_3}^-$, ${PO_4}^{3-}$, ${SO_4}^{2-}$). Both cations and anions of soil solution extracted from FC showed high correlations with ions extracted from SP in the PFH and the RL, except for ${NO_3}^-$, ${PO_4}^{3-}$ in the RL. Results of the t-test, the ECe and $EC_{FC}$ were not significant at significance level 0.05. The slopes of the equations between $EC_{FC}$ and ECe at more than sand 50% soils were higher than less than sand 50% soils, and differences of saturation percentage between SP and FC showed larger as increasing sand percentage. EC was related to soil water retention by soil texture. To determine the EC, soil texture and other soil properties which effect the soil moisture should be considered.

• Korean Journal of Organic Agriculture
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• v.21 no.2
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• pp.283-294
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• 2013

Root-rot disease is a serious problem in ginger cultivation fields and it reduces the quality and productivity of ginger. This study was conducted to investigate the effects of different soil physical and chemical properties on the changes of ginger growth. As comparing the selected soil chemical properties after harvesting the ginger plants with those before planting them, the contents of total nitrogen and exchangeable $Mg^{2+}$ increased, whereas electrical conductivity (EC) and exchangeable $K^+$ content decreased. Potassium (K) concentrations in ginger plant were markedly higher in both its shoot and root parts ranging from 63.9 to $72.3g\;kg^{-1}$ and from 27.6 to $37.3g\;kg^{-1}$, respectively, which might be related to the decrease of exchangeable $K^+$ content in soils. Incidence rate of ginger root-rot disease in the plots ranges between 26.7% and 88.1%. It was higher in low elevation plots with clay loam soils than in high elevation plots. In addition, the incidence of the disease increased as affected by high temperature and humid condition during the growth and maturity stages of ginger. Therefore, soil texture, field slop, and drainage system as well as chemical properties should be considered to cultivate ginger plant.

• Water for future
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• v.51 no.6
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• pp.43-50
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• 2018

• Water for future
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• v.51 no.7
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• pp.48-55
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• 2018

• Proceedings of the Korean Environmental Sciences Society Conference
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• 1994.10a
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• pp.33-33
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• 1994

• Journal of Korea Water Resources Association
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• v.52 no.8
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• pp.545-554
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• 2019

The most drought assessments are based on a drought index, which depends on univariate variables such as precipitation and soil moisture. However, there is a limitation in representing the drought conditions with single variables due to their complexity. It has been acknowledged that a multivariate drought index can more effectively describe the complex drought state. In this context, this study propose a Copula-based drought index that can jointly consider precipitation and soil moisture. Unlike precipitation data, long-term soil moisture data is not readily available so that this study utilized a Gaussian Mixture Non-Homogeneous Hidden Markov chain Model (GM-NHMM) model to simulate the soil moisture using the observed precipitation and temperature ranging from 1973 to 2014. The GM-NHMM model showed a better performance in terms of reproducing key statistics of soil moisture, compared to a multiple regression model. Finally, a bivariate frequency analysis was performed for the drought duration and severity, and it was confirmed that the recent droughts over Jeollabuk-do in 2015 have a 20-year return period.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1154-1158
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• 2010

최근 전 세계적으로 GIS (Geographic Information Science) 및 RS (Remote Sensing) 데이터 등 디지털정보의 구축이 급속도로 진행되고 있고, 이들의 발달로 유역에 대한 정확하고 상세한 각종 수문매개변수 수집이 가능하여 유역을 부분유역으로 분할한 기존의 집중형 수문모형보다 유역내의 공간적인 유량변동을 보다 상세하게 고려할 수 있는 격자기반의 분포형 수문모형의 활용도가 높아지고 있다. 유역의 수문특성 및 지형특성을 동일한 매개변수로 적용하기 때문에 유역의 공간적인 수문 및 지형특성을 표현하기 어려운 집중형 모형과 달리 강우-유출해석에 있어서 분포형 모형은 실제 복잡한 유역에서의 유출과정 또는 물질의 수문순환과정을 잘 이해할 수 있고, 어떤 유역의 토지이용형태의 변화가 초래하는 영향과 효과를 사전에 예측할 수 있으며, 신뢰성 있는 과거의 수문자료가 없거나 부족한 유역에서의 유출 계산이 용이하다. 따라서 본 연구에서는 Fortran 90을 개발언어로 사용하여 GIS Data와 위성영상을 활용해 유출량을 모의하는 분포형 물수지 유출 모형을 개발하여 금강 상류유역인 용담댐 유역($930km^2$)을 대항으로 2000~2008년의 일 유출량을 모의하였다. 모형은 크게 3개의 모듈(유출량, 증발산량, 토양수분) 형태로 구성되었으며, 유출량은 강우 전 토양의 저류능을 추적하여 산정하였다. 모형의 결과는 셀별 값을 가지는 분포형으로 출력되며, 유역의 평균 수문자료가 Text file로 출력된다. 민감도 분석을 통하여 최적의 유출 관련 매개 변수를 선정하고 하류의 댐 유입량 자료를 바탕으로 모형의 보정(2001-2004) 및 검증(2005-2008)을 실시하였다. 유출량에 대한 Nash-Sutcliffe 모형효율은 0.78~0.93로 모의치가 실측치의 경향을 잘 표현하는 것으로 나타났다. 유출량 분포도는 강우량을 매우 잘 반영하였으며, 같은 강우조건하에서 토양의 배수조건에 따라 유출이 확연히 다르게 표현되었다.

• Weed & Turfgrass Science
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• v.4 no.4
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• pp.368-375
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• 2015

Earthworm cast occurred in surface of turfgrass in golf courses which affect turfgrass maintenance and golf play. In this study several survey of seasonal fluctuation of earthworm cast in different golf courses (Anseong, Gapyeong, Gunpo and Yongin in Gyeonggi province, and Geumjeong in Busan) was done. A number of earthworm, soil temperature and moisture of detection site of earthworm cast in each golf course were also done. Cast occurred in different golf courses are found mostly from April to November on turf surface and the cast number varied in different month as well as in golf courses. In the same golf courses, a number of detected cast was difference from individual sites. A number of cast and earthworm was correlated. Also, in higher soil moisture showed the higher cast density in different golf courses. Soil temperature and moisture of detecting cast ranging from $2.1^{\circ}C$ to $33.1^{\circ}C$ and 4.9 to 44.1%, respectively. In case of cast, soil temperature level lies in between $10-15^{\circ}C$ where the highest soil moisture was 25%.