• Proceedings of the Korean Society for Applied Microbiology Conference
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• 1979.10a
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• pp.247.1-247
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• 1979

분뇨는 예로부터 비료로 사용되어 왔으나 화학비료의 일반화와 수인성전염병 및 기생충 감염 등 위생적 문제 때문에 현재 그 사용이 제한되고 있으며 도시화로 인하여 분뇨의 수거지역이 그 사용지역과 밀어 이를 위생적으로 처리하기 위해 많은 비용이 소요된다. 이러한 분뇨를 적당한 수분조절제 혹은 탄소원을 혼합하여 퇴비로 만들어 토양개량제로 사용하는 방법을 확립하기 위해 본 연구에서는 실험실 규모의 퇴비제조장치를 만들어 분뇨-왕겨 혼합물의 퇴비화 최적조건을 검토하였다. 분뇨-왕겨 혼합물을 채운 퇴비제조장치를 6$0^{\circ}C$ water bath에 장치하고 수분함량, 탄소원의 양, 통기량을 변화시키면서 발생하는 $CO_2$, NH$_3$의 량을 측정하여 퇴비화속도를 측정하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1310-1314
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• 2008

수도권 지역의 신도시 개발에 따른 유역의 도시화와 인구 증가는 유역의 피복상태를 변화시키고, 생태계에 영향을 미치는 수문학적 과정과 하천수질의 변화를 초래하게 된다. 지표면의 침투, 침루 및 토양함수량을 변화시키고, 차단저류량과 요지저류량(depression storage) 등을 변화시킴으로서 유출량과 수질을 변화시키게 되는 것이다. 이와 같은 수문학적과정을 평가하기 위해서는 수문모형을 사용하는데 본 연구에서는 미국 농림부에서 개발한 SWAT모형을 이용하였다. SWAT-K모형은 SWAT(Soil and Water Assessment Tool) 모형에 인위적, 자연적인 물순환 구조변화와 지표수-지하수 연계 해석 등을 개선하여, 강우 증발산 토양수분 지표수 지하수 등의 시, 공간적 분포를 정량적으로 산정하는 장기유출 해석 모형이다. 또한, 본 모형의 적용을 위하여 GIS를 이용한 공간정보를 처리하여 수문모형의 매개변수를 결정하는 방법이 널리 사용되고 있는데, 본 연구에서는 ArcView GIS를 이용하여 입력자료를 구축하였다. 대상유역은 판교유역으로서 신도시 개발이 한창 진행되고 있는 지역으로서, 개발 과정에 따라 수문특성, 유출특성, 수질변화 특성 등이 계속하여 변화되고 있으며, 개발이 완전히 종료된 이후의 특성을 예측할 필요가 있는 유역이다. 본 연구에서는 SWAT-K모형을 이용하여 판교 신도시 개발에 따른 장기유출량을 예측하였고 모델의 매개변수를 최적화하였으며, 그 결과 본 모델이 장기 유출량 해석 및 판교유역의 수문변화를 평가하는데 유용하게 적용될 수 있을 것으로 판단되었다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.39-39
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• 2016

기후 변화의 수자원 영향 평가에서 전지구모형이 갖는 불확실성이나 이산화탄소 배출 등의 시나리오별 불확실성에 대해서는 많은 연구가 진행되어져 왔으나, 외부의 변화가 아닌 지구 시스템상의 내부 변화에 대한 자연적인 변동성에 대해서는 상대적으로 연구가 미흡한 상태이다. 대표적인 내적 변동성의 예시로 엘리뇨 또는 라니뇨 현상을 들 수 있으며, 일정 영역 해수의 온도 변화에 따른 순환정도가 전세계적으로 큰 영향 (태풍, 가뭄, 홍수 등)을 주는 것을 확인할 수 있었다. 유역에서의 침식 및 퇴적 현상에서도 기후변화에서와 비슷한 내적변동성의 영향이 관찰되어지나, 과거의 대부분의 연구는 외적변동성의 영향에만 집중되어 왔다. 가장 빈번하게 발생하는 예로, 토양 표면의 미묘한 변화 (aggregation, dispersion, shielding, crusting 등)때문에 같은 양의 강우 또는 유출이 발생하는 경우라도 같은 양의 침식량이 발생하지 않는 현상을 들 수 있다. 여기에서 다루어지는 침식량의 '다름'은 같은 지역에서라도 적게는 수십배에서 크게는 수백배까지 예측량이 다를 수 있음을 뜻한다. 이러한 다름이 그동안 수자원/지질학을 연구하는 학자 및 실무자로 하여금 수치모델을 적용하고 예측하는 것을 어렵게 했던 원인이 되었다. 본 연구에서는 기후 변화가 가져올 수자원의 영향 평가를 수행할 것이다. 관심있는 기후변화 변수로서 기온 및 강수량을 시간단위로 상세화할 것이며, 변화한 기후의 영향을 평가할 수자원의 현상으로는 증발산, 토양수분량, 유출량, 하천에서의 수심 및 첨두량, 침식량 등을 고려할 것이다. 물리현상을 모의하기 위해, 유역기반의 수리, 수문, 침식 및 퇴적 현상을 동시에 계산할 수 있는 통합모델을 개발하였고 적용하였다. 여기에서 얻은 결과로부터 내적 변동성이 수자원 현상에 미치는 불확실성을 확률통계적인 기법을 이용하여 정량화할 수 있을 것이다.

• Journal of Bio-Environment Control
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• v.29 no.1
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• pp.20-27
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• 2020

The study was performed to calculate canopy temperatures and crop water stress index (CWSI) of 2-year-old 'Yumi' peach trees using thermal infrared imaging under different soil water conditions, and to evaluate availability for water stress determination. Canopy temperatures showed similar daily variations to air temperatures and they were higher during the daytime than air temperatures. Canopy temperatures for 24 h were correlated highly to air temperatures (r² =0.95), solar radiations (r² =0.74), and relative humidity (r² =-0.88). In addition, soil water potential showed a highly negative correlation to canopy temperatures (r² =-0.57), temperature differences between leaf and air (TD) (r² =-0.71), and CWSI (r² =-0.72) during the daytime (11 to 16 h). CWSI for 24 h was highly related to canopy temperatures (r² =0.90) and TD (r² =0.92), whereas CWSI was not correlated to soil water potential (r² =-0.27) for 24 h but related highly to water potential (r² =-0.72) during the daytime (11 to 16 h). Correlation coefficients between CWSI (y) and soil water potential (x) were highest from 11 to 12 h and a regression equation was deduced as y = -0.0087x + 0.14. CWSI was calculated as 0.575 at -50 kPa, which soil water stress generally occurs. Thus our result suggests that this regression equation using thermal infrared imaging is useful to evaluate soil water stress of peach trees.

• Korean Journal of Environment and Ecology
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• v.18 no.3
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• pp.316-325
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• 2004

This study was carried out to survey the usability of Vitex rotundifolia as an afforestation and landscaping plant on destroyed slopes, sandyhills of sea boards, and places in need of landscaping. The growth characteristics of seedlings and rooted cuttings of Vitex rotundifolia in soils of varying properties and water content ere studied. In three test soils, with a water content of 5% each, the survival rate was more than 70ole for seedlings and more than 40％ for rooted cuttings. This demonstrates that Vitex rotundifolia is a very strongly xeric tree species. The length of stem, the diameter of root stock, leaves, and the length of root increased in all the three types of soil as the quantity of soil water increased. The difference of the growth in response to the water content of the soil was most pronounced in the length of the stem. The growth of seedlings was most notable in the weathered granitic soil. The sea sand and the red silt loam came second and third, respectively. However, there was no major difference in the three test soils. Thus, Vitex rotundifolia appears well-suited to several soil properties and soil water quantities, which makes it very useful as an afforestation and landscaping plant in various sites.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.1
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• pp.1-9
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• 2017

Recently, it is increasing the grape farm which is converted from paddy field to orchard. These soil which are poor drainage extremely also can be damaged a lot by excessive water or flooding during heavy rain season on summer. Therefore the aim of this study was carried out to measure the changes of soil water potential and to compare the growth responses of 'Jinok' (Vitis spp.) and 'Campbell Early' (V. labruscana) grapes under three drainage systems (control, conventional drainage, and under drainage). After heavy rain, soil water potential holding times above -15 kpa applied water excessive were 352, 348 and 180 hours in control, conventional, and under drainage systems, respectively. The clay content of the under drainage system was lower than the other systems about 8-12%. The crop water stress index was lowest in the under drainage and highest in the control. Also, photosynthetic rate has showed the opposite result with crop water stress index. It was significant differences between the treatments but, the value has not shown significantly different between the varieties. In addition, leaf area and the trunk growth rate was more effective in under drainage than in the control and conventional drainage.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.17 no.12 s.115
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• pp.1172-1180
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• 2006

The backscattering coefficients of a bare soil surface were measured using an R-band polarimetric scatterometer, which were used to verify the validities of scattering models and inversion algorithms. The soil moisture contents and the surface roughness parameters (the RMS height and correlation length) were also measured from the soil surface. The backscattering coefficients were obtained from several scattering models with these surface parameters, and the computation results were compared with the measured backscattering coefficients. The soil moisture contents of the surface were retrieved from the measured backscattering coefficients, and compared with the measured surface parameters. This paper shows how well the scattering models agree with the measurements, and also shows the inversion results.

• Korean Journal of Soil Science and Fertilizer
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• v.29 no.1
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• pp.8-14
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• 1996

Use of phosphate coated urea to decrease ammonia volatilization from directly seeded paddy under dryland condition at early stage was tested. Effect on urea hydrolysis was investigated through laboratory study comparing with use of thiourea, a urease inhibitor, under different water content. A field measurement of volitilized ammonia with phosphate-glycerol ammonia absorber was conducted for surface treated urea, phosphate coated urea, phosphate coated slow-release fertilizer and organic fertilizer. Through laboratory study, hydrolysis rate of phosphate coated urea at three days after treatment was lower than that of urea, however, the rate after one week was same. Thiourea addition retarted urea hydrolysis. By field measurement, ammonia volatilization was effectively reduced by use of phosphate coated urea.

• Journal of Korean Society of Forest Science
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• v.105 no.1
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• pp.12-18
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• 2016

This study was carried out to investigate the change on soil $CO_2$ efflux rates, soil temperature, soil water content and soil pH by thinning intensity treatments (heavy thinning, light thinning, control) of a black pine (Pinus thunbergii Parl.) stand disturbed by pine wilt disease in Wola National Experimental Forests in Jinju, Gyeongnam province. Monthly variations of soil $CO_2$ efflux rates were not significantly different between the thinning and the control treatments (P>0.05). The annual mean soil $CO_2$ efflux rates were $0.58g\;CO_2m^{-2}h^{-1}$ for the light thinning, $0.49g\;CO_2m^{-2}h^{-1}$ for the heavy thinning and $0.45g\;CO_2m^{-2}h^{-1}$ for the control treatments, respectively. There was a significant exponential relation between soil $CO_2$ efflux rates and soil temperature, but no correlation between soil water content or soil pH and soil $CO_2$ efflux rates. The values of $Q_{10}$ were 3.40 for the light thinning, 3.20 for the heavy thinning and 3.06 for the control treatments, respectively. The results indicate that soil $CO_2$ efflux rates in a black pine stand disturbed by pine wilt disease could be affected by thinning treatments.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.245-250
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• 2017

Flash floods is defined as the flooding of intense rainfall over a relatively small area that flows through river and valley rapidly in short time with no advance warning. So that it can cause damage property and casuality. This study is to establish the flash-flood warning system using 38 accident data, reported from the National Disaster Information Center and Land Surface Model(TOPLATS) between 2009 and 2012. Three variables were used in the Land Surface Model: precipitation, soil moisture, and surface runoff. The three variables of 6 hours preceding flash flood were reduced to 3 factors through factor analysis. Decision tree, random forest, Naive Bayes, Support Vector Machine, and logistic regression model are considered as big data methods. The prediction performance was evaluated by comparison of Accuracy, Kappa, TP Rate, FP Rate and F-Measure. The best method was suggested based on reproducibility evaluation at the each points of flash flood occurrence and predicted count versus actual count using 4 years data.