• Korean Journal of Soil Science and Fertilizer
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• v.42 no.5
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• pp.348-354
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• 2009

We analyzed relationship soil distribution and climatic factors using temperature, precipitation and evapotranspiration maps in Jeju island. The whole area was divided into 5 groups - mesic high moisture region(group1), thermic high moisture region(group2), thermic balanced moisture region(group3), thermic short moisture region(group4), thermic very short moisture region(group5), by soil temperature and monthly moisture balances. By the sequence from group1 to group5, the occupation ratio of soils was increased in order of andisols, inceptisols, alfisols, ultisols in soil orders, and of black soils, very dark brown soils, dark brown soils in soil colors.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.307-307
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• 2021

개념적 강우-유출모형에서 토양수분과 관련된 물리적 거동은 간략화 된 형태로 강우 및 온도자료를 활용하여 중간변량(state variable)으로 간접적으로 고려되고 있다. 특히 강우-유출모형에 초기함수 조건은 선행함수조건을 고려하여 수문지질학적 평가를 통하여 결정되어야 하나, 일반적으로 가정되거나 모형에서 간략화 된 분석과정을 통해 추정되고 있다. 본 연구에서는 토양의 Water Balance 모형 기반의 개념적 토양수분 추정모형을 활용하였다. 토양수분의 시간적 변동성을 평가하는데 있어서 연속적으로 측정된 In-situ 토양수분 자료를 이용하여 모형의 적합성을 평가하였다. Green-Ampt 방법과 중력식 침투방법과 온도를 활용한 증발산 추정기법을 연계한 토양함수 평가 모형을 개발하였다. In-situ 토양수분 자료와 유역의 강수량 및 온도자료를 이용한 관련 매개변수를 Bayesian 기법을 통해 추정하였으며 매개변수의 민감도를 평가하여 제시하였다. 최종적으로 제안된 모형의 활용측면에서 강우-유출모형의 초기함수 조건으로써의 역할을 평가하였다. 구체적으로 첨두유량 및 유출고와 초기함수조건과의 관계를 제시하고 강우-유출모형에서 활용방안을 제시하고자 한다.

• Journal of Soil and Groundwater Environment
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• v.11 no.1
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• pp.45-53
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• 2006

This study was performed to evaluate the heating characteristics of soils for the application of electrical resistance heating process combined with soil vapor extraction. Laboratory tests were conducted to find out optimum heating conditions by the adjustment of electrical supply and electrode. Results show that fine soil particles are more efficient for electrical heating. As water content of soil increases, more efficient electrical heating is observed. However, as the soil is saturated with water above the soil porosity, decrease in the heating efficiency is observed. The higher the voltage, is and the shorter the distance between the electrodes is, the better the heating efficiency is. The soil contaminated by fuel is also more efficient than non-contaminated soil in electrical resistance heating. From the relationship between the intial electrical current and the conductivity obtained in this study, soil temperature by electrical heating can be estimated.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.11
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• pp.776-780
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• 2013

TPH degrdation patterns in diesel contaminated soil was investigated with microwave radiation. When microwave radiation on the soil was applied, temperature increment of the aridic soil was quite low, but temperature in the moist soil was dramatically increased even if short period of running time. Up to 20% of the moisture content, the higher moisture content has more increment of temperature, whereas over 20% of the moisture content, temperature in the soil was rather decreased. when 100~700 W power of microwave radiation was applied into the contaminated soil, a lot of TPH removals was observed under 300 W, but negligible increment of TPH removal was detected over 300 W. 60% of TPH removal was achieved with initial 20% moisture content and microwave radiation. Additional 25% removal was accomplished when moisture content was kept constant during radiation period. It indicated that maintaining of constant moisture is an important factor for TPH removal with microwave radiation because moisture and temperature in the soil are decreased with reaction time.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2001.04a
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• pp.164-167
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• 2001

현장에서 채취한 토양을 이용하여 Microcosm test를 실시한 결과 온도 및 수분함량이 높을수록 BTEX 분해율이 증가하는 것으로 나타났으며 산소 농도는 21~32% 정도가 적당하였다. 그러나 BTEX 초기농도가 높은 경우에는 생분해율이 감소하는 것으로 나타났다. Bioventing 공법을 현장에 적용한 결과 OUR(Oxygen Utilization Rate)값은 6.3~16.3%O$_2$/day로 조사되었으며 Biodegradation rate 값은 3.4~8.8 mg hydrocarbon/kg soil/day로 조사되어 생물학적 처리 가능성이 있는 것으로 평가되었다.

• Journal of the Korean GEO-environmental Society
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• v.16 no.5
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• pp.35-42
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• 2015

This is conducted to observe underground temperature and to analyze its change affected by climate condition and soil infiltration in the mountainous area, Yesan region, Chungcheong-namdo province. Additionally, underground temperature change is also simulated using air temperature and soil thermal properties with a numerical model. Soil temperature monitoring data acquired from each depth, 20 cm, 50 cm, and 100 cm, indicates that the data within 50 cm in depth shows peak-shaped big fluctuation directly affected by air temperature and it at 100 cm has open-shaped small fluctuation. Underground temperature variation, a difference between high and low values, during monitoring period is weakly proportional to hydraulic conductivity of the sediment and it is assumed that water plays a part in delivering air temperature in soil. The underground temperature estimated by a numerical model is very similar to the observed data with an average value of 0.99 cross-correlation coefficient. From the result of this study, the aquifer unsaturated hydraulic conductivity of the soil and the groundwater recharge is likely to be able to estimate with underground temperature profile calculated using a numerical model.

• Korean Journal of Soil Science and Fertilizer
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• v.26 no.4
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• pp.289-293
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• 1993

To comply with the increasing demand from the agricultural industry for more accurate short-range weather information, statistical method for forecasting soil temperature was presented. Regression equation was derived to predict daily mean 10cm soil temperature for any day the year. The equation was based upon 10-daily mean 10cm soil temperature(10DM 10ST) for 6 years(1982~1987) at grass in Suweon. The possibility of estimating daily mean 10cm soil temperature was examined.

• Weed & Turfgrass Science
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• v.7 no.3
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• pp.171-179
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• 2018

We investigated changes of weedy rice emergence and seed condition under different flooding depth condition using 100 accessions of weedy rice germplasm collected in South Korea. In 1 cm of soil buried depth condition, 54 and 57% of emergence was reduced under 5 and 10 cm of flooding depth conditions respectively compared to non-flooding condition. In 5 cm of soil buried depth condition, 66 and 84% of emergence was reduced under 5 and 10 cm of flooding depth conditions respectively compared to non-flooding condition. The 94% of weedy rice germplasm showed less than 10% of emergence rate at 10 cm of flooding depth condition. In flooding condition, seed number, which germinated but did not emerged, was increased. As a result of analyzing the correlation between effective accumulated temperature and seed condition, dead seed rate increased and germination rate decreased depending on effective accumulated temperature. However, emergence rate did not show significant correlation with growth temperature condition under flooding condition such as 5 or 10 cm of water depth, it decreased according to flooding period. In order to reduce the emergence rate of weedy rice, longer than 21 days of flooding might be needed.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.3
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• pp.130-137
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• 2023

Smart farms, which have been receiving attention as a solution to recent rural problems, refer to technologies that optimize the growing environment of crops and increase the productivity and quality of crops through efficient management. If the relationships between environmental data in smart farms are analyzed, additional productivity enhancement and crop management will be possible. In this paper, we propose a method for acquiring and analyzing nine environmental data, including temperature, humidity, CO2, soil temperature, soil moisture, insolation, soil EC, EC, and pH. Data acquisition is done through RS-485 communication between the main board and the sensor board and stored in the database after acquisition. The stored data is downloaded in Excel sheet format and analyzed through histograms, data charts, and correlation heatmaps. First, we analyze the distribution of total, day, and night data through histogram analysis, and identifiy the average, median, minimum, and maximum values by month through data chart analysis separating day and night to see how the data changes by month. Finally, we analyze the correlation of the data through a correlation heatmap analysis separating day and night. The results show a very strong positive correlation between temperature and soil temperature and soil EC and EC during the day, and a very strong positive correlation between temperature and soil temperature and soil EC and EC at night, and a strong negative correlation between temperature and soil EC.

• Journal of Climate Change Research
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• v.6 no.3
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• pp.209-221
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• 2015

Temperature is one of the most important factors affecting crop growth. The diurnal cycle of the scale factor [Tsc] for air temperature and the surface temperature of crop leaf and soil could be estimated by the following equation : $[Tsc]=0.5{\times}sin(X+C)+0.5$. The daily air temperature (E[Ti]) according to the E&E time [X] can be estimated by following equation using average (Tavg), maximum (Tm) and minimum (Tn) temperature : $E[Ti]=Tn+(Tm-Tn){\times}[0.5{\times}sin\;\{X+(9.646Tavg+703.65)\}+0.5]$. The crop leaf temperature in 24th June 2014 was high as the order of red pepper without mulching > red pepper with mulching > soybean under drought > soybean with irrigation > Chinese cabbage. The case in estimating crop leaf surface temperature using air temperature and soil surface temperature was lower in the deviation compared to the case using air temperature for Chinese cabbage and red pepper. These results can be utilized for the crop models as input data with estimation.